Best Big Data Processing And Distribution Systems
Big data processing and distribution systems offer a way to collect, distribute, store, and manage massive, unstructured data sets in real time. These solutions provide a simple way to process and distribute data amongst parallel computing clusters in an organized fashion. Built for scale, these products are created to run on hundreds or thousands of machines simultaneously, each providing local computation and storage capabilities. Big data processing and distribution systems provide a level of simplicity to the common business problem of data collection at a massive scale and are most often used by companies that need to organize an exorbitant amount of data. Many of these products offer a distribution that runs on top of the open-source big data clustering tool Hadoop.
Companies commonly have a dedicated administrator for managing big data clusters. The role requires in-depth knowledge of database administration, data extraction, and writing host system scripting languages. Administrator responsibilities often include implementation of data storage, performance upkeep, maintenance, security, and pulling the data sets. Businesses often use big data analytics tools to then prepare, manipulate, and model the data collected by these systems.
To qualify for inclusion in the Big Data Processing And Distribution Systems category, a product must:
Best Big Data Processing And Distribution Systems At A Glance
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.
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Data Engineer
- Data Analyst
- Information Technology and Services
- Computer Software
- 37% Enterprise
- 32% Mid-Market
32,689,918 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Data Engineer
- Data Scientist
- Information Technology and Services
- Computer Software
- 46% Enterprise
- 36% Mid-Market
77,520 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Data Engineer
- Software Engineer
- Computer Software
- Information Technology and Services
- 47% Enterprise
- 40% Mid-Market
9 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Software Engineer
- Software Developer
- Information Technology and Services
- Computer Software
- 46% Enterprise
- 37% Mid-Market
14,045,110 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Manage the entire data for AI lifecycle through a single user experience to power the next generation of Gen-AI applications. IBM watsonx.data empowers organizations to simplify and scale unstructure
- Information Technology and Services
- Computer Software
- 45% Enterprise
- 32% Small-Business
709,293 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Information Technology and Services
- Financial Services
- 45% Enterprise
- 30% Small-Business
3,431 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Information Technology and Services
- 49% Small-Business
- 32% Enterprise
2,231,972 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.
- Senior Data Engineer
- Information Technology and Services
- 40% Enterprise
- 27% Mid-Market
14,045,110 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Financial Services
- Computer Software
- 59% Enterprise
- 22% Small-Business
2,231,972 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Software Engineer
- Data Engineer
- Information Technology and Services
- Financial Services
- 71% Enterprise
- 20% Mid-Market
92,932 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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.
- Information Technology and Services
- 34% Mid-Market
- 29% Enterprise
14,045,110 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Computer Software
- 29% Small-Business
- 24% Enterprise
32,689,918 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Senior Software Engineer
- Data Engineer
- Computer Software
- Information Technology and Services
- 44% Enterprise
- 39% Mid-Market
21,859 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Financial Services
- Information Technology and Services
- 50% Enterprise
- 44% Mid-Market
5,054 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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
- Senior Software Engineer
- Software Engineer
- Computer Software
- Information Technology and Services
- 36% Enterprise
- 34% Small-Business
43,208 Twitter followers
