Best Enterprise Big Data Processing And Distribution Systems
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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, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise 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 Enterprise 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 Enterprise Business Big Data Processing And Distribution Systems category, a product must have at least 10 reviews left by a reviewer from an enterprise 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.
(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
Entry Level Price:Free
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
HQ Location
Mountain View, CATwitter
@google32,689,918 Twitter followers
(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
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
HQ Location
San Francisco, CATwitter
@databricks77,520 Twitter followers
(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
Entry Level Price:$2 Compute/Hour
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
HQ Location
San Mateo, CATwitter
@SnowflakeDB9 Twitter followers
(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
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
Twitter
@microsoft14,045,110 Twitter followers
Ownership
MSFT
(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
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
Twitter
@microsoft14,045,110 Twitter followers
Ownership
MSFT
(64)4.1 out of 5
8th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Amazon EMR
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
Twitter
@awscloud2,231,972 Twitter followers
Ownership
NASDAQ: AMZN
(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
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
HQ Location
Boston, MATwitter
@starburstdata3,431 Twitter followers
(326)4.3 out of 5
11th Easiest To Use in Big Data Processing and Distribution software
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
HQ Location
San Diego, CATwitter
@Teradata92,932 Twitter followers
(64)4.6 out of 5
Optimized for quick response
7th Easiest To Use in Big Data Processing and Distribution software
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
This description is provided by the seller.
Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises like Amazon, Unilever, Shell, and S&P Global. Dremio amplifies AI and analytics initiatives by eliminating t
Users
No information available
Industries
- Financial Services
- Information Technology and Services
Market Segment
- 50% Enterprise
- 44% Mid-Market
Dremio Pros and Cons
How are these determined?
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
13
Integrations
10
Performance
7
Large Datasets
6
SQL Support
6
Cons
Difficulty
5
Poor Customer Support
5
Learning Curve
4
Limited Features
3
Technical Difficulties
3
Dremio features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.7
0.0
No information available
9.2
Machine Scaling
Average: 8.7
8.8
Data Preparation
Average: 8.6
Seller Details
HQ Location
Santa Clara, CaliforniaTwitter
@dremio5,054 Twitter followers
(216)4.3 out of 5
9th Easiest To Use in Big Data Processing and Distribution software
Entry Level Price:Free
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
Twitter
@OpenText21,859 Twitter followers
Ownership
NASDAQ:OTEX
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
This description is provided by the seller.
Azure Synapse Analytics is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.
Users
No information available
Industries
- Information Technology and Services
Market Segment
- 34% Mid-Market
- 29% Enterprise
Azure Synapse Analytics Pros and Cons
How are these determined?
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
2
Data Security
2
Performance
2
Scalability
2
Security
2
Cons
Data Management
1
Feature Limitations
1
Importing Issues
1
Integration Issues
1
Azure Synapse Analytics features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.7
7.8
Real-Time Data Collection
Average: 8.7
8.1
Machine Scaling
Average: 8.7
8.3
Data Preparation
Average: 8.6
Seller Details
Twitter
@microsoft14,045,110 Twitter followers
Ownership
MSFT
(58)4.3 out of 5
View top Consulting Services for Google Cloud Dataflow
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
Twitter
@google32,689,918 Twitter followers
Ownership
NASDAQ:GOOG
(140)4.4 out of 5
13th Easiest To Use in Big Data Processing and Distribution software
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
Twitter
@TheASF66,213 Twitter followers
(111)4.4 out of 5
6th Easiest To Use in Big Data Processing and Distribution software
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
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?
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
Twitter
@ConfluentInc43,208 Twitter followers
Ownership
NASDAQ: CFLT
Entry Level Price:30 day free trial
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Product Description
How are these determined?
This description is provided by the seller.
Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo
Users
- Software Engineer
- Data Scientist
Industries
- Computer Software
- Information Technology and Services
Market Segment
- 51% Enterprise
- 44% Mid-Market
Qubole Pros and Cons
How are these determined?
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
1
Ease of Use
1
Features
1
Performance
1
Speed
1
Cons
Cluster Management
1
Feature Limitations
1
Lacking Features
1
Limited Features
1
Missing Features
1
Qubole features and usability ratings that predict user satisfaction
8.1
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
8.3
Data Preparation
Average: 8.6
Seller Details
Twitter
@qubole9,652 Twitter followers
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