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 (Nov 2026)

  • Average Rating: 4.4/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ITONICS (+1.6%) - Among all products in this category, ITONICS recorded the largest rating increase compared to last month

Last updated: November 10, 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
  • 9,700+ 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, Snowflake, IBM watsonx.data, Cloudera, Microsoft SQL Server, 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=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=cloudera&focus%5B%5D=microsoft-sql-server&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
  • LinkedIn® Page: www.linkedin.com
    439 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 commend Posit Team for its ease of use, enabling smooth workflows and efficient data analysis without unnecessary distractions.
  • Users praise the ease of use and integration in Posit, enhancing productivity and focus on data analysis.
  • Users value Posit Team's strong commitment to open source, enhancing their experience with excellent software and community support.
  • Users commend the reliable customer support of Posit Team, making their data science journey seamless and efficient.
  • Users value the easy integrations of Posit Team, enhancing their workflow and simplifying setups with other tools.
Cons
  • Users experience slow performance with large datasets, affecting workflow and necessitating improvements for a smoother usage.
  • Users find the learning curve challenging, especially for beginners trying to grasp advanced features initially.
  • Users often face performance issues with Posit, particularly when handling larger datasets and needing more powerful hardware.
  • Users find the steep learning curve of Posit Team challenging, especially for beginners navigating advanced features.
  • Users experience lagging performance with Posit, particularly with large datasets, impacting productivity and workflow continuity.

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: 219

How Do G2 Users Rate Control-M?

  • Has the product been a good partner in doing business?: 8.9/10 (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
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®
  • Phone: 713 918 8800

Who Uses This Product?

  • Who Uses This: Data Engineer, System Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 21% Small

What Do G2 Reviewers Say About Control-M?

AI-generated summary from verified user reviews

Pros
  • Users find Control-M's ease of use invaluable for managing workflows across diverse environments with streamlined monitoring.
  • Users value the automation capabilities of Control-M, appreciating its seamless job scheduling and centralized monitoring features.
  • Users highly value the centralized workload management of Control-M, facilitating seamless integration and smooth operations across environments.
  • Users value the time-saving capabilities of Control-M, streamlining complex workflows and enhancing operational efficiency.
  • Users value the centralized workload management of Control-M, enhancing efficiency across diverse environments and systems.
Cons
  • Users find the complexity of Control-M challenging, particularly during initial setup and for new users learning the system.
  • Users find the learning curve steep, making initial setup and usability challenging for new users.
  • Users find the user interface complex and outdated, making navigation difficult for new teams and users.
  • Users find the difficult learning curve of Control-M challenging, especially due to complex setup and confusing UI.
  • Users consistently highlight the high costs of Control-M, which can be a significant barrier for smaller 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
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

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, enhancing efficiency and reducing complexity in data solutions.
  • Users appreciate the automation capabilities of Azure Synapse Analytics, enhancing efficiency and simplifying data management processes.
  • Users value the seamless cloud integration of Azure Synapse Analytics, enhancing efficiency and simplifying analytics workflows.
  • Users commend the cost-effective capabilities of Azure Synapse Analytics, enabling efficient data solutions without overspending.
  • Users value the seamless data integration capabilities of Azure Synapse Analytics, enhancing efficiency in analytics workflows.
Cons
  • Users report that cost estimation can become complex without proper governance, making budget management challenging.
  • Users find cost management complex, often struggling with optimization and monitoring across various data processing options.
  • Users often face debugging issues due to a lack of detailed error transparency, complicating troubleshooting efforts.
  • Users find difficult debugging challenging due to a steep learning curve and lack of detailed error transparency.
  • Users find Azure Synapse Analytics expensive due to complex cost management and resource optimization challenges.

What Are Recent G2 Reviews of Azure Synapse Analytics?

What Are G2 Users Discussing About Azure Synapse Analytics?

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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?

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?

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 commend the exceptional customer support of TIMi, noting prompt responses and effective assistance from the team.
  • Users praise the ease of use of TIMi, noting its intuitive interface and quick learning curve.
  • Users praise the user-friendly interface and exceptional support, enhancing the overall experience with TIMi's products.
  • Users value the fast automation capabilities of TIMi's Anatella software for efficient data transformation and analysis.
  • Users admire the intuitive charting features of TIMi, enabling quick and efficient data visualization after learning the tool.

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% Medium

What Are Recent G2 Reviews of Apache Ambari?

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 stability in handling large files and batch workloads.
  • Users value the data security provided by HDFS, which ensures reliable storage of large files across multiple machines.
  • Users value the solid fault tolerance and reliability of HDFS for storing large files effectively across multiple machines.
  • Users appreciate the ability to store large datasets effectively, ensuring stability and fault tolerance in big data workflows.
Cons
  • Users are concerned about the increased costs associated with managing HDFS, which complicate maintenance and scaling efforts.
  • Users face significant maintenance issues with HDFS, requiring dedicated teams for upgrades and overall stability.
  • Users experience significant performance issues with HDFS, particularly when dealing with numerous small files and maintenance demands.
  • Users struggle with poor performance in HDFS, facing difficulties in scaling and managing small files effectively.
  • Users find significant security issues with HDFS, requiring dedicated teams for upgrades and maintenance to ensure stability.

What Are Recent G2 Reviews of Hadoop HDFS?

What Are G2 Users Discussing About Hadoop HDFS?

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
  • 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?

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
  • 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