Best Enterprise Big Data Processing And Distribution Systems - Page 2

How Many Big Data Processing And Distribution Systems Products Does G2 Track?

Total Products under this Category: 123

Category Stats (Sep 2026)

  • Average Rating: 4.4/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: IBM Analytics Engine (+1.99%) - Among all products in this category, IBM Analytics Engine recorded the largest rating increase compared to last month

Last updated: September 26, 2026

How Does G2 Rank Big Data Processing And Distribution Systems Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 9,500+ Authentic Reviews
  • 123+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Big Data Processing And Distribution Systems

G2 Grid® for Big Data Processing And Distribution Systems plotting products by satisfaction and market presence

Highlighted products: Databricks, Google Cloud BigQuery, Amazon EMR, IBM watsonx.data, Snowflake, Microsoft SQL Server, Cloudera, and Azure Data Lake Store.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-processing-and-distribution/grids.json?focus%5B%5D=databricks&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=amazon-emr&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=snowflake&focus%5B%5D=microsoft-sql-server&focus%5B%5D=cloudera&focus%5B%5D=azure-data-lake-store&segment=enterprise)

Posit Team

Posit is a Public Benefit Corporation building open-source software and an enterprise data science platform. We created the RStudio IDE, Shiny, Positron, and Quarto — tools used by millions of data scientists, machine learning engineers, and researchers worldwide, including teams at 25% of the Fortune Global 100. Our commercial products help organizations put those tools into production: Posit Workbench provides centralized development environments supporting Positron, RStudio, VS Code, and Jupyter; Posit Connect handles publishing and deployment for Shiny, AI applications, Streamlit, Dash, FastAPI, Flask, Bokeh, and more; and Posit Package Manager provides security-compliant package management for R and Python.

Average Rating: 4.5/5.0

Total Reviews: 569

How Do G2 Users Rate Posit Team?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.0/10 (Category avg: 8.8/10)
  • Machine Scaling: 7.9/10 (Category avg: 8.6/10)
  • Data Preparation: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Posit Team?

  • Seller: Posit
  • Year Founded: 2009
  • HQ Location: Boston, US
  • Twitter: @posit_pbc
    120,874 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    441 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Research Assistant, Graduate Research Assistant
  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 49% Large, 26% Medium

What Do G2 Reviewers Say About Posit Team?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Posit Team, simplifying data analysis workflows and enhancing productivity.
  • Users praise Posit for its reliable performance and seamless integrations, enhancing productivity and simplifying workflows.
  • Users value Posit's commitment to open source software, enhancing productivity and integration with R programming.
  • Users appreciate the responsive and reliable customer support of Posit Team, enhancing their overall experience and productivity.
  • Users appreciate the easy integrations of Posit Team, enhancing their workflows with seamless compatibility with multiple tools.
Cons
  • Users experience slow performance with large datasets, which disrupts workflow and demands higher system requirements.
  • Users face a steep learning curve with Posit Team, making initial usage and advanced features challenging.
  • Users report performance issues with Posit Team, particularly during use with larger datasets and frequent crashes.
  • Users report a steep learning curve with Posit Team, making initial setup and advanced features challenging for newcomers.
  • Users face lagging performance with Posit Team, especially when handling large datasets, impacting overall productivity.

What Are Recent G2 Reviews of Posit Team?

What Are G2 Users Discussing About Posit Team?

Control-M

Control-M from BMC Software is a digital operations orchestration platform designed to help organizations connect applications, data pipelines, and infrastructure processes within a unified ecosystem. This solution is specifically tailored to manage complex hybrid environments, providing a robust framework for designing, automating, and governing workflows that span both on-premises and cloud technologies. By simplifying the management of operational dependencies, Control-M enables IT and business teams to maintain resilience, compliance, and efficiency at scale. The platform is particularly beneficial for organizations that require continuous operations, as it fosters collaboration among development, data, and operations teams through a shared environment. This collaborative approach enhances transparency and significantly reduces manual effort, allowing teams to focus on strategic initiatives rather than routine tasks. Control-M's orchestration capabilities facilitate the coordination of workloads across traditional systems, modern cloud applications, and emerging data technologies, ensuring that all components work seamlessly together. Centralized visibility and control empower teams to identify potential disruptions early, thereby ensuring smooth end-to-end process execution. Control-M incorporates predictive analytics and event-driven automation, which are essential for anticipating performance issues and adapting to changing business or system conditions. This proactive stance allows operations teams to maintain service levels and accelerate incident resolution without the burden of constant manual oversight. Furthermore, the platform's integration with DevOps and DataOps workflows ensures that automation efforts align with organizational goals, thereby supporting both innovation and governance. Industries such as finance, healthcare, manufacturing, and telecommunications widely utilize Control-M, where reliability, compliance, and operational continuity are paramount. By connecting people, systems, and data, Control-M transforms fragmented operational environments into cohesive, data-driven systems of execution. With BMC’s extensive expertise in intelligent automation, Control-M empowers enterprises to reduce complexity, enhance agility, and continuously deliver business value in an ever-evolving digital landscape. The platform stands out by providing a comprehensive solution that not only addresses current operational challenges but also prepares organizations for future demands.

Average Rating: 4.3/5.0

Total Reviews: 193

How Do G2 Users Rate Control-M?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.0/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.0/10 (Category avg: 8.6/10)
  • Data Preparation: 7.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Control-M?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • Twitter: @BMCSoftware
    47,946 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 46% Large, 19% Medium

What Do G2 Reviewers Say About Control-M?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Control-M, appreciating its good GUIs and efficient scheduling methods.
  • Users value the automation in Control-M, enhancing workflow reliability and reducing manual efforts across operations.
  • Users admire Control-M's reliability and centralized job management, enhancing workflow efficiency and confidence in timely task execution.
  • Users value time-saving automation in Control-M, simplifying workflow management and reducing the need for manual coordination.
  • Users value the task automation capabilities of Control-M, enhancing efficiency through seamless scheduling and orchestration.
Cons
  • Users find the UI complexity challenging, compounded by a steep learning curve and inconsistencies between the client and web versions.
  • Users face a significant learning curve when using Control-M, making it challenging for new users to adapt.
  • Users find the UI complexity challenging, which can hinder the onboarding process for new users.
  • Users find the steep learning curve of Control-M daunting, making initial use more challenging and time-consuming.
  • Users find the licensing costs high, making Control-M less accessible for smaller teams and organizations.

What Are Recent G2 Reviews of Control-M?

What Are G2 Users Discussing About Control-M?

Azure Synapse Analytics

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.

Average Rating: 4.4/5.0

Total Reviews: 37

How Do G2 Users Rate Azure Synapse Analytics?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 7.8/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.1/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Azure Synapse Analytics?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 45% Medium, 32% Large

What Do G2 Reviewers Say About Azure Synapse Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the unified analytics experience of Azure Synapse Analytics, streamlining data processes and enhancing efficiency.
  • Users value the seamless integration and automation of Azure Synapse Analytics, enhancing efficiency in data analytics solutions.
  • Users value the seamless cloud integration of Azure Synapse Analytics, enhancing workflows and streamlining data analytics solutions.
  • Users value the cost-effective benefits of Azure Synapse Analytics, maximizing efficiency with flexible, on-demand resources.
  • Users value the seamless data integration capabilities of Azure Synapse Analytics, enhancing efficiency and reducing complexity in analytics solutions.
Cons
  • Users find cost estimation complex, especially with serverless queries and various resource management requirements.
  • Users find cost management complex, particularly when optimizing across serverless queries and Spark jobs without proper governance.
  • Users often face debugging issues with complex pipeline failures, resulting in increased troubleshooting time and frustration.
  • Users find difficult debugging issues due to lack of error transparency, complicating troubleshooting and performance tuning.
  • Users find Azure Synapse Analytics to be expensive, with costs complicating monitoring and optimization efforts.

What Are Recent G2 Reviews of Azure Synapse Analytics?

What Are G2 Users Discussing About Azure Synapse Analytics?

Rocket Vertica

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-in machine learning capability. Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads, arming them and their customers with predictive business insights. Vertica provides a unified analytics platform across major public clouds and on-premises data centers, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed platform, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.

Average Rating: 4.3/5.0

Total Reviews: 195

How Do G2 Users Rate Rocket Vertica?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.6/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 8.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Rocket Vertica?

  • Seller: Rocket Software
  • Year Founded: 1990
  • HQ Location: Waltham, MA
  • Twitter: @Rocket
    3,532 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,417 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 44% Large, 39% Medium

What Are Recent G2 Reviews of Rocket Vertica?

What Are G2 Users Discussing About Rocket Vertica?

TIMi

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 analytics, AI and Big Data, while offering a helpful, fast and friendly environment. The TIMi Suite consists of four tools: 1. Anatella (Analytical ETL, Data Prep & Big Data), 2. Modeler (Auto-ML / Automated Predictive Modelling / Automated-AI), 3. StarDust (3D Segmentation) 4. Kibella (BI Dashboarding solution). TIMi dominates the Data Science market: In the "Summer 2022 - Momentum Report” from G2, in the “Data Science” category, TIMi has the #1 rank: TIMi is the Data Science solution with both the highest market growth and the highest customer-satisfaction! More about this subject here: https://timi.eu/blog/timi-the-number-one-data-science-platform/

Average Rating: 4.8/5.0

Total Reviews: 50

How Do G2 Users Rate TIMi?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.3/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.8/10 (Category avg: 8.6/10)
  • Data Preparation: 9.5/10 (Category avg: 8.6/10)

Who Is the Company Behind TIMi?

  • Seller: TIMi SPRL
  • Year Founded: 2007
  • HQ Location: Brussels
  • Twitter: @TIMiSuite
    3,532 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    86 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Banking
  • Company Size: 40% Small, 32% Large

What Do G2 Reviewers Say About TIMi?

AI-generated summary from verified user reviews

Pros
  • Users highlight the exceptional customer support from the TIMi team, noting their quick response times and helpfulness.
  • Users find TIMi easy to use, thanks to its intuitive design and quick learning curve.
  • Users appreciate TIMi's user-friendly interface and exceptional support, making data transformation quick and efficient.
  • Users value the fast and intuitive automation capabilities of TIMi, streamlining data transformations and analyses effectively.
  • Users value the intuitive charting features of TIMi, enabling efficient data visualization and analysis.

What Are Recent G2 Reviews of TIMi?

What Are G2 Users Discussing About TIMi?

Apache Ambari

Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.

Average Rating: 4.1/5.0

Total Reviews: 21

How Do G2 Users Rate Apache Ambari?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 7.6/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Apache Ambari?

Who Uses This Product?

  • Company Size: 65% Large, 17% Small

What Are Recent G2 Reviews of Apache Ambari?

Qubole

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 workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us at www.qubole.com.

Average Rating: 4.0/5.0

Total Reviews: 237

How Do G2 Users Rate Qubole?

  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.0/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Qubole?

  • Seller: Qubole
  • Year Founded: 2011
  • HQ Location: Santa Clara, CA
  • Twitter: @qubole
    9,425 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Large, 44% Medium

What Are Recent G2 Reviews of Qubole?

What Are G2 Users Discussing About Qubole?

Hadoop HDFS

The Hadoop Distributed File System (HDFS) is a scalable and fault-tolerant file system designed to manage large datasets across clusters of commodity hardware. As a core component of the Apache Hadoop ecosystem, HDFS enables efficient storage and retrieval of vast amounts of data, making it ideal for big data applications. Key Features and Functionality: - Fault Tolerance: HDFS replicates data blocks across multiple nodes, ensuring data availability and resilience against hardware failures. - High Throughput: Optimized for streaming data access, HDFS provides high aggregate data bandwidth, facilitating rapid data processing. - Scalability: Capable of scaling horizontally by adding more nodes, HDFS can accommodate petabytes of data, supporting the growth of data-intensive applications. - Data Locality: By processing data on the nodes where it is stored, HDFS minimizes network congestion and enhances processing speed. - Portability: Designed to be compatible across various hardware and operating systems, HDFS offers flexibility in deployment environments. Primary Value and Problem Solved: HDFS addresses the challenges of storing and processing massive datasets by providing a reliable, scalable, and cost-effective solution. Its architecture ensures data integrity and availability, even in the face of hardware failures, while its design allows for efficient data processing by leveraging data locality. This makes HDFS particularly valuable for organizations dealing with big data, enabling them to derive insights and value from their data assets effectively.

Average Rating: 4.4/5.0

Total Reviews: 130

How Do G2 Users Rate Hadoop HDFS?

  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.6/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 8.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Hadoop HDFS?

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 55% Large, 23% Medium

What Do G2 Reviewers Say About Hadoop HDFS?

AI-generated summary from verified user reviews

Pros
  • Users value HDFS for its effective data processing and reliability in handling large files across multiple machines.
  • Users value the data security of HDFS, ensuring reliable storage for large files across multiple machines.
  • Users appreciate the reliable data storage of Hadoop HDFS, excelling in managing large files with fault tolerance.
  • Users value the ability to store large datasets efficiently, ensuring reliable fault tolerance and stability with HDFS.
Cons
  • Users face increased costs due to hardware needs, maintenance, and the complexity of managing HDFS clusters effectively.
  • Users face significant maintenance issues with HDFS, requiring dedicated teams to manage upgrades and ensure smooth operation.
  • Users experience significant performance issues with HDFS, especially when managing scaling and numerous small files.
  • Users find HDFS suffers from poor performance, struggling with scalability and small file handling in modern environments.
  • Users find security issues prevalent in HDFS, necessitating dedicated teams for maintenance and upgrades to ensure stability.

What Are Recent G2 Reviews of Hadoop HDFS?

What Are G2 Users Discussing About Hadoop HDFS?

Druid

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data.

Average Rating: 4.3/5.0

Total Reviews: 28

How Do G2 Users Rate Druid?

  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.5/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.5/10 (Category avg: 8.6/10)
  • Data Preparation: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Druid?

  • Seller: Druid
  • Year Founded: 1998
  • HQ Location: Rio de Janeiro, Rio de Janeiro
  • Twitter: @druid
    4 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Large, 29% Medium

What Are Recent G2 Reviews of Druid?

What Are G2 Users Discussing About Druid?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated