Best Big Data Processing And Distribution Systems for Small Business

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, IBM watsonx.data, Google Cloud BigQuery, Snowflake, Cloudera, Amazon EMR, Starburst, and Microsoft SQL Server.

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

Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,384

How Do G2 Users Rate Databricks?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.8/10 (Category avg: 8.8/10)
  • Machine Scaling: 9.0/10 (Category avg: 8.6/10)
  • Data Preparation: 9.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless integration of big data and AI in Databricks, enhancing collaboration and performance.
  • Users appreciate the ease of use of Databricks, valuing its seamless integration and fast performance.
  • Users appreciate the seamless integration of Databricks with big data processing and AI, enhancing collaboration and performance.
  • Users value the seamless collaboration features of Databricks, enhancing teamwork and data analysis across departments.
  • Users appreciate the seamless integration of big data processing and AI in Databricks, enhancing collaboration and efficiency.
Cons
  • Users find the learning curve steep with Databricks, requiring time and skills to adapt effectively.
  • Users note that the cost can scale quickly, making cost monitoring and control a significant challenge.
  • Users find the steep learning curve of Databricks challenging, requiring considerable effort to adapt for business use cases.
  • Users find the inadequate ingestion options for non-standard data sources a limitation in Databricks' functionality.
  • Users find Databricks' complexity challenging, especially for beginners and smaller teams trying to fine-tune the system.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

IBM watsonx.data

IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data_Trial

Average Rating: 4.4/5.0

Total Reviews: 171

G2 Deal: Save 30% on your first monthly or annual subscription. Offer ends 15 April 2026.

Get 30% off your new monthly or annual watsonx.data Enterprise subscription. Optimize data workloads at a fraction of the cost. Offer ends 15 April 2026.

Price: ~~61.81~~ → 88.30

View this exclusive G2 deal

How Do G2 Users Rate IBM watsonx.data?

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

Who Is the Company Behind IBM watsonx.data?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 34% Small, 32% Large

What Do G2 Reviewers Say About IBM watsonx.data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM watsonx.data, facilitating efficient data management and analytics integration.
  • Users value the efficient querying and analytics capabilities of IBM watsonx.data, enhancing data handling for complex tasks.
  • Users value the efficient data management capabilities of IBM watsonx.data, enhancing analytics and reducing costs effectively.
  • Users value the robust integration with various AI tools, enhancing analytics and simplifying model management within IBM watsonx.data.
  • Users value the fast querying and analytics capabilities of IBM watsonx.data, enhancing insight extraction from large datasets.
Cons
  • Users face a steep learning curve with watsonx.data, especially regarding documentation and initial setup processes.
  • Users find the complexity of IBM watsonx.data challenging, requiring time and expertise for effective use.
  • Users find the pricing high and confusing, making it challenging for small teams to justify the expense.
  • Users face a difficult setup with IBM watsonx.data, requiring extensive configuration and detailed documentation for effective use.
  • Users find difficulty in setup and documentation, requiring time and expertise to effectively utilize watsonx.data.

What Are Recent G2 Reviews of IBM watsonx.data?

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Average Rating: 4.5/5.0

Total Reviews: 1,162

How Do G2 Users Rate Google Cloud BigQuery?

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

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 35% Medium

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, appreciating its intuitive interface and fast query execution.
  • Users admire the fast query performance of Google Cloud BigQuery, enhancing their experience with large datasets.
  • Users value the fast querying capabilities of Google Cloud BigQuery, enabling efficient analysis of large datasets.
  • Users value the seamless SQL integration of BigQuery, enhancing data analytics in the Google Cloud ecosystem.
  • Users value the query efficiency of Google Cloud BigQuery, enjoying fast performance on large datasets with ease.
Cons
  • Users find the costs can escalate quickly without careful query optimization and monitoring on Google Cloud BigQuery.
  • Users experience query issues leading to escalated costs and unexpected behavior with special characters in BigQuery.
  • Users find that costs can escalate quickly with Google Cloud BigQuery due to unoptimized queries and large datasets.
  • Users report that costs can escalate quickly due to needing careful optimization and monitoring for large-scale queries.
  • Users find the learning curve steep for Google Cloud BigQuery, requiring significant time to master its features.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works
Connect G2 to ChatGPTConnect G2 to Claude

Snowflake

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 applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Average Rating: 4.6/5.0

Total Reviews: 732

How Do G2 Users Rate Snowflake?

  • 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: 9.1/10 (Category avg: 8.6/10)
  • Data Preparation: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Menlo Park, California, United States
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®
  • Ownership: NYSE:SNOW

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 42% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Snowflake, enjoying its user-friendly interface and seamless scalability for data analysis.
  • Users appreciate the flexible scalability of Snowflake, allowing independent adjustments to performance and efficient resource management.
  • Users value the effortless data management Snowflake offers, enabling quick analysis without infrastructure concerns.
  • Users appreciate the user-friendly interface of Snowflake, making navigation easy and intuitive for SQL tasks.
  • Users value the strong integration ecosystem of Snowflake, which enhances versatility and simplifies data workflows seamlessly.
Cons
  • Users find Snowflake to be expensive, as costs can escalate quickly without careful usage monitoring and optimization.
  • Users highlight the high costs associated with Snowflake, especially for unoptimized workloads and usage spikes.
  • Users find cost management challenging, as compute expenses can escalate quickly without careful monitoring and optimization.
  • Users find the learning curve for advanced features in Snowflake steep, especially for newcomers needing rapid proficiency.
  • Users find feature limitations in Snowflake, particularly in cost management and control over optimization and dynamic scripting.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. Cloudera Anywhere Cloud™: Build and scale applications across any environment. The modular hybrid data and AI platform engineered for the agentic era empowers teams to deploy production-grade data and AI workloads across multi-cloud, on-premises, and sovereign environments while maintaining digital sovereignty. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

Average Rating: 4.2/5.0

Total Reviews: 208

How Do G2 Users Rate Cloudera?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.2/10 (Category avg: 8.8/10)
  • Machine Scaling: 9.0/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®
  • Phone: 888-789-1488

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 33% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Cloudera, enjoying its straightforward installation and maintenance for analytics.
  • Users commend Cloudera for its exceptional scalability, enabling seamless integration and efficient big data management.
  • Users commend Cloudera for its robust security, ideal for high-scale enterprise-level data engineering tasks.
  • Users appreciate the easy and secure data management provided by Cloudera, enabling smart analytics and decision-making.
  • Users value the user-friendly features of Cloudera, which simplify big data handling and improve workflow efficiency.
Cons
  • Users express concerns over the high costs associated with Cloudera, making it less accessible for some.
  • Users find Cloudera to have a complex setup and operational challenges, especially for inexperienced professionals.
  • Users find Cloudera setup to be difficult to learn, especially for beginners navigating its complex interface.
  • Users find the documentation lacking, which hampers navigating data configurations and resolving errors effectively.
  • Users face significant access issues with Cloudera, including limited documentation and authorization errors during task execution.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

Amazon EMR

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 across dynamically scalable Amazon EC2 instances.

Average Rating: 4.2/5.0

Total Reviews: 62

How Do G2 Users Rate Amazon EMR?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.2/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.7/10 (Category avg: 8.6/10)
  • Data Preparation: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Amazon EMR?

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 59% Large, 21% Small

What Do G2 Reviewers Say About Amazon EMR?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless data integration of Amazon EMR, effectively managing large datasets from diverse sources.
  • Users praise the ease of use of Amazon EMR, particularly for running test jobs and accessing detailed error logs.
  • Users value Amazon EMR for processing large datasets efficiently, integrating data from multiple sources seamlessly.
Cons
  • Users often face performance issues with Amazon EMR due to manual tuning needed when scaling up or down.
  • Users experience poor performance with slow auto scaling, often leading to job failures from resource shortages.
  • Users experience slow performance with auto scaling, often leading to job failures from insufficient cluster resources.

What Are Recent G2 Reviews of Amazon EMR?

What Are G2 Users Discussing About Amazon EMR?

Starburst

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 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. Learn more at starburst.ai

Average Rating: 4.3/5.0

Total Reviews: 132

How Do G2 Users Rate Starburst?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.3/10 (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 Starburst?

  • Seller: Starburst
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Boston, MA
  • LinkedIn® Page: www.linkedin.com
    543 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 42% Small, 36% Large

What Do G2 Reviewers Say About Starburst?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the fast querying capabilities of Starburst, enhancing efficiency across various complex data sources and queries.
  • Users value the query efficiency of Starburst, highlighting its speed and effectiveness in handling complex queries.
  • Users appreciate the seamless integrations of Starburst, enhancing usability and efficiency in data management.
  • Users appreciate the ease of use of Starburst, highlighting its simple setup and user-friendly features for managing data.
  • Users highly value the high performance with large datasets of Starburst, enhancing efficiency in data access and analytics.
Cons
  • Users often face query issues with Starburst, particularly with troubleshooting and performance during complex queries.
  • Users experience slow performance with Starburst, especially when handling large data sets and complex queries.
  • Users often struggle with query complexity in Starburst, leading to slower performance and troubleshooting challenges.
  • Users find the learning curve steep for Starburst, requiring significant time to grasp its complexities and features.
  • Users report performance issues with query execution and setup, affecting efficiency and integration capabilities.

What Are Recent G2 Reviews of Starburst?

What Are G2 Users Discussing About Starburst?

Microsoft SQL Server

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 environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

Average Rating: 4.4/5.0

Total Reviews: 2,134

How Do G2 Users Rate Microsoft SQL Server?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.6/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.2/10 (Category avg: 8.6/10)
  • Data Preparation: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Microsoft SQL Server?

  • 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?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 37% Medium

What Do G2 Reviewers Say About Microsoft SQL Server?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Microsoft SQL Server, finding it intuitive and straightforward for all tasks.
  • Users value the strong security protection and reliability of Microsoft SQL Server for managing critical database operations.
  • Users value the high performance and reliability of Microsoft SQL Server, appreciating its efficient handling of data and queries.
  • Users appreciate the stability and performance of Microsoft SQL Server, highlighting its reliability and ease of use.
  • Users value the easy integrations of Microsoft SQL Server with other Microsoft products, enhancing productivity and reporting.
Cons
  • Users find the licensing costs steep for Microsoft SQL Server, making it less accessible for smaller businesses.
  • Users find the high licensing costs of Microsoft SQL Server particularly burdensome, especially for small businesses.
  • Users find that the high licensing costs of Microsoft SQL Server can be a barrier for small businesses.
  • Users find the licensing costs to be steep, making Microsoft SQL Server less accessible for small businesses.
  • Users find that performance issues arise due to SQL Server's heavy resource demands and complexities in scaling.

What Are Recent G2 Reviews of Microsoft SQL Server?

What Are G2 Users Discussing About Microsoft SQL Server?

Teradata Autonomous Knowledge Platform

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com.

Average Rating: 4.3/5.0

Total Reviews: 354

How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 7.9/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.8/10 (Category avg: 8.6/10)
  • Data Preparation: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Teradata Autonomous Knowledge Platform?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 69% Large, 22% Medium

What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

AI-generated summary from verified user reviews

Pros
  • Users praise the high performance of Teradata Autonomous Knowledge Platform, noting its speed and reliability in data analysis.
  • Users benefit from the high speed of Teradata Autonomous Knowledge Platform, enabling fast and efficient data analysis.
  • Users appreciate the high-performance analytics of Teradata's platform, benefiting from fast, scalable data analysis and management.
  • Users value the scalability of Teradata Autonomous Knowledge Platform, enabling efficient handling of complex analytics and workloads.
  • Users appreciate the ability to handle large datasets efficiently, enabling powerful analysis and fast data insights.
Cons
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, impacting initial productivity during adoption.
  • Users find the steep learning curve challenging, making advanced features difficult to navigate for non-technical users.
  • Users find the complexity of the Teradata Autonomous Knowledge Platform challenging, especially for non-technical users.
  • Users find Teradata Autonomous Knowledge Platform not user-friendly, particularly for non-technical users navigating its outdated interface.
  • Users criticize the outdated user interface, noting it lacks intuitiveness and is difficult for non-core data team members.

What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

Azure Data Lake Store

Azure Data Lake Storage is a cloud-based, enterprise-grade data lake solution designed to store and analyze massive amounts of data in its native format. It enables organizations to eliminate data silos by providing a single storage platform that supports structured, semi-structured, and unstructured data. This service is optimized for high-performance analytics workloads, allowing businesses to derive insights from their data efficiently. Key Features and Functionality: - Scalability: Offers virtually unlimited storage capacity, accommodating data of any size and type without the need for upfront capacity planning. - Security: Provides robust security mechanisms, including encryption at rest, advanced threat protection, and integration with Microsoft Entra ID (formerly Azure Active Directory) for role-based access control. - Integration: Seamlessly integrates with various Azure services such as Azure Databricks, Azure Synapse Analytics, and Azure HDInsight, facilitating comprehensive data processing and analytics. - Cost Optimization: Allows independent scaling of storage and compute resources, supports tiered storage options, and offers lifecycle management policies to optimize costs. - Performance: Supports high-throughput and low-latency data access, enabling efficient processing of large-scale analytics queries. Primary Value and Solutions Provided: Azure Data Lake Storage addresses the challenges of managing and analyzing vast amounts of diverse data by offering a scalable, secure, and cost-effective storage solution. It eliminates data silos, enabling organizations to store all their data in a single repository, regardless of format or size. This unified approach facilitates seamless data ingestion, processing, and visualization, empowering businesses to unlock valuable insights and drive informed decision-making. By integrating with popular analytics frameworks and Azure services, it streamlines the development of big data solutions, reducing time-to-insight and enhancing overall productivity.

Average Rating: 4.5/5.0

Total Reviews: 37

How Do G2 Users Rate Azure Data Lake Store?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.1/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.9/10 (Category avg: 8.6/10)
  • Data Preparation: 9.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Azure Data Lake Store?

  • 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?

  • Who Uses This: Senior Data Engineer
  • Top Industries: Information Technology and Services
  • Company Size: 45% Large, 33% Medium

What Do G2 Reviewers Say About Azure Data Lake Store?

AI-generated summary from verified user reviews

Pros
  • Users value the easy integration with Azure and non-Azure products, enhancing connectivity and usability significantly.
  • Users commend the fast processing capabilities of Azure Data Lake Store, enhancing data retrieval and integration efficiency.
Cons
  • Users find the inability to view folder sizes and download whole folders difficult, complicating their usage of Azure Data Lake Store.

What Are Recent G2 Reviews of Azure Data Lake Store?

What Are G2 Users Discussing About Azure Data Lake Store?

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?

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?

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?

Confluent

Today’s customers expect every digital experience to be immediate, connected, and personalized. That takes more than data at rest - it takes trusted data in motion. Confluent is the complete Data Streaming Platform for keeping data in motion from the moment business change occurs through processing, governance, and serving. Built by the original creators of Apache Kafka®, Confluent connects applications, services, and systems; processes streams in real time with Apache Flink®; and serves trusted, always-current data wherever it is needed across cloud, hybrid, and self-managed environments. With deployment options including fully managed Confluent Cloud, self-managed Confluent Platform and Brint-your-own-cloud Confluent WarpStream, teams can power event-driven applications, real-time analytics, AI, and operational workflows while choosing the operating model that fits their environment and turning live data into better customer experiences and business outcomes.

Average Rating: 4.3/5.0

Total Reviews: 140

How Do G2 Users Rate Confluent?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.0/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.2/10 (Category avg: 8.6/10)
  • Data Preparation: 7.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Confluent?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 37% Large, 33% Small

What Do G2 Reviewers Say About Confluent?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the simplified real-time data integration with Confluent's managed cloud services and scalable architecture.
  • Users appreciate the simplicity and scalability of Confluent's cloud services, enhancing real-time data integration effectively.
  • Users praise the wide range of connectors in Confluent, which simplify real-time data integration significantly.
  • Users appreciate the effortless real-time data integration provided by Confluent's simple UI and extensive connectors.
  • Users appreciate the ease of use of Confluent, enjoying effortless real-time data integration and management.
Cons
  • Users find the cost estimation challenging as prices rise with data volume, impacting overall value perception.
  • Users find the pricing increases with data volume, making it costly as they scale their usage of Confluent.
  • Users face initial difficulties with a steep learning curve and limited features in lower-priced editions of Confluent.
  • Users are frustrated with the lack of features in lower editions, contributing to a steep learning curve.
  • Users find the steep learning curve of Confluent requires significant time investment to fully grasp its workflow.

What Are Recent G2 Reviews of Confluent?

What Are G2 Users Discussing About Confluent?

Google Cloud Dataflow

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 workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.

Average Rating: 4.2/5.0

Total Reviews: 42

How Do G2 Users Rate Google Cloud Dataflow?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.3/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.8/10 (Category avg: 8.6/10)
  • Data Preparation: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Google Cloud Dataflow?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 39% Small, 34% Medium

What Do G2 Reviewers Say About Google Cloud Dataflow?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the real-time monitoring and easy integration features of Google Cloud Dataflow for efficient data processing.
  • Users find the ease of use of Google Cloud Dataflow invaluable for building efficient streaming pipelines effortlessly.
  • Users find Google Cloud Dataflow's easy management facilitates efficient building and monitoring of streaming pipelines.
  • Users appreciate the ease of use and integration with data sources for building efficient streaming pipelines.
  • Users appreciate the ease of use and real-time monitoring with Google Cloud Dataflow for efficient streaming pipeline processing.
Cons
  • Users find Google Cloud Dataflow costly compared to alternatives, impacting their decision-making process significantly.
  • Users find Google Cloud Dataflow to be expensive compared to alternatives, such as Apache Flink, impacting budget considerations.
  • Users find installation difficult, facing challenges with implementing features like watermarks effectively in Google Cloud Dataflow.
  • Users find Google Cloud Dataflow difficult to implement due to its complexity and high cost compared to alternatives.

What Are Recent G2 Reviews of Google Cloud Dataflow?

What Are G2 Users Discussing About Google Cloud Dataflow?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated