Best Big Data Processing And Distribution Systems for Small Business

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Researched and written by Matthew Miller

Products classified in the overall Big Data Processing and Distribution category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Big Data Processing and Distribution to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Big Data Processing and Distribution category.

In addition to qualifying for inclusion in the Big Data Processing And Distribution Systems category, to qualify for inclusion in the Small Business Big Data Processing And Distribution Systems category, a product must have at least 10 reviews left by a reviewer from a small business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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15 Listings in Small Business Big Data Processing and Distribution Available

(1,137)4.5 out of 5
2nd Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    297
    Fast Querying
    163
    Speed
    163
    Querying
    154
    Scalability
    139
    Cons
    Expensive
    135
    Query Issues
    127
    Learning Curve
    86
    Cost Management
    74
    Cost Issues
    71
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Real-Time Data Collection
    Average: 8.7
    8.6
    Machine Scaling
    Average: 8.7
    8.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,689,918 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    306,458 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 32% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
297
Fast Querying
163
Speed
163
Querying
154
Scalability
139
Cons
Expensive
135
Query Issues
127
Learning Curve
86
Cost Management
74
Cost Issues
71
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.7
8.6
Real-Time Data Collection
Average: 8.7
8.6
Machine Scaling
Average: 8.7
8.6
Data Preparation
Average: 8.6
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,689,918 Twitter followers
LinkedIn® Page
www.linkedin.com
306,458 employees on LinkedIn®
(425)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    191
    Features
    183
    Integrations
    115
    Data Management
    100
    Easy Integrations
    98
    Cons
    Learning Curve
    58
    Steep Learning Curve
    55
    Expensive
    54
    Missing Features
    52
    Performance Issues
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Real-Time Data Collection
    Average: 8.7
    9.0
    Machine Scaling
    Average: 8.7
    8.8
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    77,520 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,647 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 36% Mid-Market
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
191
Features
183
Integrations
115
Data Management
100
Easy Integrations
98
Cons
Learning Curve
58
Steep Learning Curve
55
Expensive
54
Missing Features
52
Performance Issues
39
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.7
8.6
Real-Time Data Collection
Average: 8.7
9.0
Machine Scaling
Average: 8.7
8.8
Data Preparation
Average: 8.6
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
77,520 Twitter followers
LinkedIn® Page
www.linkedin.com
10,647 employees on LinkedIn®

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(87)4.4 out of 5
Optimized for quick response
4th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Starburst
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 6

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 45% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Starburst Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    23
    Fast Querying
    23
    Integrations
    20
    Query Efficiency
    20
    Large Datasets
    19
    Cons
    Slow Performance
    16
    Difficult Setup
    13
    Learning Curve
    13
    Query Issues
    11
    Complexity
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Starburst features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.1
    Real-Time Data Collection
    Average: 8.7
    8.4
    Machine Scaling
    Average: 8.7
    8.3
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,431 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    498 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 6

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 45% Enterprise
  • 30% Small-Business
Starburst Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
23
Fast Querying
23
Integrations
20
Query Efficiency
20
Large Datasets
19
Cons
Slow Performance
16
Difficult Setup
13
Learning Curve
13
Query Issues
11
Complexity
10
Starburst features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.1
Real-Time Data Collection
Average: 8.7
8.4
Machine Scaling
Average: 8.7
8.3
Data Preparation
Average: 8.6
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,431 Twitter followers
LinkedIn® Page
www.linkedin.com
498 employees on LinkedIn®
(591)4.5 out of 5
Optimized for quick response
3rd Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Enterprise
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    82
    Features
    47
    Data Management
    40
    Scalability
    40
    Database Management
    36
    Cons
    Expensive
    41
    Feature Limitations
    23
    Cost Management
    19
    Cost
    17
    Missing Features
    16
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.7
    Real-Time Data Collection
    Average: 8.7
    9.0
    Machine Scaling
    Average: 8.7
    9.0
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    9 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,352 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Enterprise
  • 40% Mid-Market
Snowflake Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
82
Features
47
Data Management
40
Scalability
40
Database Management
36
Cons
Expensive
41
Feature Limitations
23
Cost Management
19
Cost
17
Missing Features
16
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.7
Real-Time Data Collection
Average: 8.7
9.0
Machine Scaling
Average: 8.7
9.0
Data Preparation
Average: 8.6
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
9 Twitter followers
LinkedIn® Page
www.linkedin.com
9,352 employees on LinkedIn®
(216)4.3 out of 5
9th Easiest To Use in Big Data Processing and Distribution software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

    Users
    • Senior Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Enterprise
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OpenText Vertica Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    13
    Ease of Use
    12
    Fast Processing
    12
    Performance
    11
    Features
    10
    Cons
    Expensive
    11
    Difficulty
    7
    Learning Curve
    6
    Complexity
    4
    Complex Setup
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenText Vertica features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.7
    8.4
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,859 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22,403 employees on LinkedIn®
    Ownership
    NASDAQ:OTEX
Product Description
How are these determined?Information
This description is provided by the seller.

Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

Users
  • Senior Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Enterprise
  • 39% Mid-Market
OpenText Vertica Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
13
Ease of Use
12
Fast Processing
12
Performance
11
Features
10
Cons
Expensive
11
Difficulty
7
Learning Curve
6
Complexity
4
Complex Setup
4
OpenText Vertica features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.7
8.6
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.7
8.4
Data Preparation
Average: 8.6
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,859 Twitter followers
LinkedIn® Page
www.linkedin.com
22,403 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(2,214)4.4 out of 5
5th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Microsoft SQL Server
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and

    Users
    • Software Engineer
    • Software Developer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Microsoft SQL Server Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Database Management
    28
    Ease of Use
    28
    Features
    16
    Speed
    16
    Easy Integrations
    15
    Cons
    Performance Issues
    8
    Expensive
    7
    Limitations
    7
    Compatibility Issues
    6
    Slow Performance
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Microsoft SQL Server features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.7
    8.7
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.7
    8.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,045,110 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    239,199 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and

Users
  • Software Engineer
  • Software Developer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
Microsoft SQL Server Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Database Management
28
Ease of Use
28
Features
16
Speed
16
Easy Integrations
15
Cons
Performance Issues
8
Expensive
7
Limitations
7
Compatibility Issues
6
Slow Performance
6
Microsoft SQL Server features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.7
8.7
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.7
8.6
Data Preparation
Average: 8.6
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,045,110 Twitter followers
LinkedIn® Page
www.linkedin.com
239,199 employees on LinkedIn®
Ownership
MSFT
(326)4.3 out of 5
11th Easiest To Use in Big Data Processing and Distribution software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 71% Enterprise
    • 20% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teradata Vantage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    32
    Performance
    20
    Analytics
    18
    Integrations
    18
    Data Analytics
    17
    Cons
    Expensive
    15
    Complexity
    10
    Learning Curve
    10
    Poor User Interface
    9
    Poor Interface
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teradata Vantage features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.7
    8.0
    Real-Time Data Collection
    Average: 8.7
    8.7
    Machine Scaling
    Average: 8.7
    9.0
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    92,932 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,256 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 71% Enterprise
  • 20% Mid-Market
Teradata Vantage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
32
Performance
20
Analytics
18
Integrations
18
Data Analytics
17
Cons
Expensive
15
Complexity
10
Learning Curve
10
Poor User Interface
9
Poor Interface
8
Teradata Vantage features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.7
8.0
Real-Time Data Collection
Average: 8.7
8.7
Machine Scaling
Average: 8.7
9.0
Data Preparation
Average: 8.6
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
92,932 Twitter followers
LinkedIn® Page
www.linkedin.com
10,256 employees on LinkedIn®
(64)4.1 out of 5
8th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Amazon EMR
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 59% Enterprise
    • 22% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon EMR Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Integration
    1
    Ease of Use
    1
    Features
    1
    Large Datasets
    1
    Scalability
    1
    Cons
    Complexity
    1
    Limited Features
    1
    Poor Performance
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon EMR features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    8.1
    Real-Time Data Collection
    Average: 8.7
    8.7
    Machine Scaling
    Average: 8.7
    8.7
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,231,972 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    139,702 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 59% Enterprise
  • 22% Small-Business
Amazon EMR Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Integration
1
Ease of Use
1
Features
1
Large Datasets
1
Scalability
1
Cons
Complexity
1
Limited Features
1
Poor Performance
1
Slow Performance
1
Amazon EMR features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.7
8.1
Real-Time Data Collection
Average: 8.7
8.7
Machine Scaling
Average: 8.7
8.7
Data Preparation
Average: 8.6
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,231,972 Twitter followers
LinkedIn® Page
www.linkedin.com
139,702 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(45)4.5 out of 5
15th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Azure Data Lake Store
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

    Users
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    Market Segment
    • 40% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Data Lake Store Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Easy Integrations
    2
    Fast Processing
    2
    Data Integration
    1
    Data Management
    1
    Ease of Use
    1
    Cons
    Difficulty
    1
    Limited Features
    1
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Lake Store features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.7
    9.1
    Real-Time Data Collection
    Average: 8.7
    8.9
    Machine Scaling
    Average: 8.7
    9.1
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,045,110 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    239,199 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

Users
  • Senior Data Engineer
Industries
  • Information Technology and Services
Market Segment
  • 40% Enterprise
  • 27% Mid-Market
Azure Data Lake Store Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Easy Integrations
2
Fast Processing
2
Data Integration
1
Data Management
1
Ease of Use
1
Cons
Difficulty
1
Limited Features
1
Poor Documentation
1
Azure Data Lake Store features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.7
9.1
Real-Time Data Collection
Average: 8.7
8.9
Machine Scaling
Average: 8.7
9.1
Data Preparation
Average: 8.6
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,045,110 Twitter followers
LinkedIn® Page
www.linkedin.com
239,199 employees on LinkedIn®
Ownership
MSFT
(140)4.4 out of 5
13th Easiest To Use in Big Data Processing and Distribution software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 55% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hadoop HDFS Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Large Datasets
    3
    Data Storage
    2
    Ease of Use
    2
    Fast Processing
    2
    Scalability
    2
    Cons
    Difficulty
    2
    Installation Difficulty
    1
    Learning Curve
    1
    Limited Access
    1
    Real-Time Analysis
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hadoop HDFS features and usability ratings that predict user satisfaction
    7.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.5
    Real-Time Data Collection
    Average: 8.7
    8.4
    Machine Scaling
    Average: 8.7
    8.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,213 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,298 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 55% Enterprise
  • 23% Mid-Market
Hadoop HDFS Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Large Datasets
3
Data Storage
2
Ease of Use
2
Fast Processing
2
Scalability
2
Cons
Difficulty
2
Installation Difficulty
1
Learning Curve
1
Limited Access
1
Real-Time Analysis
1
Hadoop HDFS features and usability ratings that predict user satisfaction
7.7
Has the product been a good partner in doing business?
Average: 8.7
8.5
Real-Time Data Collection
Average: 8.7
8.4
Machine Scaling
Average: 8.7
8.6
Data Preparation
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,213 Twitter followers
LinkedIn® Page
www.linkedin.com
2,298 employees on LinkedIn®
(58)4.3 out of 5
View top Consulting Services for Google Cloud Dataflow
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workaround

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 29% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Dataflow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    1
    API Integration
    1
    Cloud Computing
    1
    Comprehensive Solutions
    1
    Data Integration
    1
    Cons
    Cloud Compatibility
    1
    Cloud Dependency
    1
    Complex Pricing
    1
    Connector Issues
    1
    Cost Management
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Dataflow features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.3
    Real-Time Data Collection
    Average: 8.7
    8.8
    Machine Scaling
    Average: 8.7
    8.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,689,918 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    306,458 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workaround

Users
No information available
Industries
  • Computer Software
Market Segment
  • 29% Small-Business
  • 24% Mid-Market
Google Cloud Dataflow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
1
API Integration
1
Cloud Computing
1
Comprehensive Solutions
1
Data Integration
1
Cons
Cloud Compatibility
1
Cloud Dependency
1
Complex Pricing
1
Connector Issues
1
Cost Management
1
Google Cloud Dataflow features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.3
Real-Time Data Collection
Average: 8.7
8.8
Machine Scaling
Average: 8.7
8.6
Data Preparation
Average: 8.6
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,689,918 Twitter followers
LinkedIn® Page
www.linkedin.com
306,458 employees on LinkedIn®
Ownership
NASDAQ:GOOG
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organizatio

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 49% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AWS Lake Formation Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation
    1
    Cloud Integration
    1
    Data Security
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Compatibility Issues
    1
    Complexity
    1
    Cost Management
    1
    Dependency Issues
    1
    Difficult Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Lake Formation features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.0
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.7
    7.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,231,972 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    139,702 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organizatio

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 49% Small-Business
  • 32% Enterprise
AWS Lake Formation Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation
1
Cloud Integration
1
Data Security
1
Ease of Use
1
Easy Integrations
1
Cons
Compatibility Issues
1
Complexity
1
Cost Management
1
Dependency Issues
1
Difficult Setup
1
AWS Lake Formation features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.0
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.7
7.6
Data Preparation
Average: 8.6
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,231,972 Twitter followers
LinkedIn® Page
www.linkedin.com
139,702 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(111)4.4 out of 5
6th Easiest To Use in Big Data Processing and Distribution software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Confluent Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Features
    11
    Scalability
    11
    Easy Integrations
    10
    Integrations
    9
    Cons
    Poor Documentation
    7
    Expensive
    5
    Limitations
    5
    Difficult Learning
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    9.0
    Real-Time Data Collection
    Average: 8.7
    8.2
    Machine Scaling
    Average: 8.7
    7.8
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,208 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,482 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 34% Small-Business
Confluent Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Features
11
Scalability
11
Easy Integrations
10
Integrations
9
Cons
Poor Documentation
7
Expensive
5
Limitations
5
Difficult Learning
4
Learning Curve
4
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
9.0
Real-Time Data Collection
Average: 8.7
8.2
Machine Scaling
Average: 8.7
7.8
Data Preparation
Average: 8.6
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,208 Twitter followers
LinkedIn® Page
www.linkedin.com
3,482 employees on LinkedIn®
Ownership
NASDAQ: CFLT
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analyt

    Users
    No information available
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 39% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TIMi Suite Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Customer Support
    3
    Features
    3
    Performance Efficiency
    3
    Speed
    3
    Cons
    Coding Difficulty
    1
    Complexity
    1
    Complex Syntax
    1
    Confusing Syntax
    1
    Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TIMi Suite features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.7
    9.3
    Real-Time Data Collection
    Average: 8.7
    8.8
    Machine Scaling
    Average: 8.7
    9.5
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TIMi SPRL
    Company Website
    Year Founded
    2007
    HQ Location
    Brussels
    Twitter
    @TIMiSuite
    3,661 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    75 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analyt

Users
No information available
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 39% Small-Business
  • 33% Enterprise
TIMi Suite Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Customer Support
3
Features
3
Performance Efficiency
3
Speed
3
Cons
Coding Difficulty
1
Complexity
1
Complex Syntax
1
Confusing Syntax
1
Difficulty
1
TIMi Suite features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.7
9.3
Real-Time Data Collection
Average: 8.7
8.8
Machine Scaling
Average: 8.7
9.5
Data Preparation
Average: 8.6
Seller Details
Seller
TIMi SPRL
Company Website
Year Founded
2007
HQ Location
Brussels
Twitter
@TIMiSuite
3,661 Twitter followers
LinkedIn® Page
www.linkedin.com
75 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Posit was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

    Users
    • Research Assistant
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Information Technology and Services
    Market Segment
    • 49% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Posit Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Cloud Computing
    1
    Cloud Integration
    1
    Customer Support
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Performance Issues
    1
    Slow Performance
    1
    Software Instability
    1
    System Instability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Posit features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    8.9
    Real-Time Data Collection
    Average: 8.7
    7.5
    Machine Scaling
    Average: 8.7
    8.5
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Posit
    Year Founded
    2009
    HQ Location
    Boston, MA
    Twitter
    @posit_pbc
    124,285 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    431 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Posit was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

Users
  • Research Assistant
  • Graduate Research Assistant
Industries
  • Higher Education
  • Information Technology and Services
Market Segment
  • 49% Enterprise
  • 27% Mid-Market
Posit Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cloud Computing
1
Cloud Integration
1
Customer Support
1
Ease of Use
1
Easy Integrations
1
Cons
Performance Issues
1
Slow Performance
1
Software Instability
1
System Instability
1
Posit features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
8.9
Real-Time Data Collection
Average: 8.7
7.5
Machine Scaling
Average: 8.7
8.5
Data Preparation
Average: 8.6
Seller Details
Seller
Posit
Year Founded
2009
HQ Location
Boston, MA
Twitter
@posit_pbc
124,285 Twitter followers
LinkedIn® Page
www.linkedin.com
431 employees on LinkedIn®