Best Data Warehouse Solutions for Small Business

How Many Data Warehouse Solutions Products Does G2 Track?

Total Products under this Category: 122

Category Stats (Sep 2026)

  • Average Rating: 4.37/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Data Warehouse Solutions Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 7,500+ Authentic Reviews
  • 122+ 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 Data Warehouse Solutions

G2 Grid® for Data Warehouse Solutions plotting products by satisfaction and market presence

Highlighted products: Google Cloud BigQuery, Databricks, Snowflake, IBM watsonx.data, SAP Datasphere, Amazon Redshift, IBM Db2, and Starburst.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-warehouse/grids.json?focus%5B%5D=google-cloud-bigquery&focus%5B%5D=databricks&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=sap-datasphere&focus%5B%5D=amazon-redshift&focus%5B%5D=ibm-db2&focus%5B%5D=starburst&segment=small-business)

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: 1,144

How Do G2 Users Rate Google Cloud BigQuery?

  • Ease of Use: 8.7/10 (Category avg: 8.7/10)
  • Data Governance: 8.7/10 (Category avg: 8.4/10)
  • Data Security: 9.1/10 (Category avg: 8.8/10)
  • Scalability: 9.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

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, enabling fast analysis without needing to manage infrastructure.
  • Users appreciate the incredible speed of BigQuery, making data processing effortless and efficient for large datasets.
  • Users value the seamless integrations of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly.
  • Users appreciate the fast querying capabilities of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly.
  • Users value the query efficiency of BigQuery, enabling fast analysis of massive datasets with minimal effort.
Cons
  • Users find the cost structure expensive, especially with complex queries leading to rapidly escalating charges.
  • Users often face query issues with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting.
  • Users find the cost management challenging, facing unpredictable pricing and needing strict governance to maintain budgets.
  • Users face cost issues with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges.
  • Users find the steep learning curve for advanced features challenging, requiring significant time and effort to master.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

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: 1,330

How Do G2 Users Rate Databricks?

  • Ease of Use: 8.8/10 (Category avg: 8.7/10)
  • Data Governance: 8.9/10 (Category avg: 8.4/10)
  • Data Security: 8.9/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @databricks
    92,269 Twitter followers
  • 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: 48% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use and extensive features of Databricks, streamlining data warehousing and machine learning tasks.
  • Users value the seamless integrations with AWS services that enhance efficiency and support diverse business needs.
  • Users appreciate the ease of use of Databricks, enhancing their experience with its intuitive interface and efficient features.
  • Users value the seamless collaboration provided by Databricks, enhancing teamwork on data projects and insights sharing.
  • Users value the effective data management features of Databricks, simplifying their workflows and enhancing decision-making.
Cons
  • Users face a steep learning curve with Databricks, as its complexity can be confusing for newcomers.
  • Users note that the cost of Databricks can be quite high, particularly for large data projects and limited free options.
  • Users express frustration over missing features in Databricks, limiting its effectiveness for complex deployments and custom setups.
  • Users find the steep learning curve of Databricks challenging, particularly for those unfamiliar with big data tools.
  • Users face unintuitive UI issues that lead to random errors and complicate the experience for non-technical users.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

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: 713

How Do G2 Users Rate Snowflake?

  • Ease of Use: 9.0/10 (Category avg: 8.7/10)
  • Data Governance: 8.9/10 (Category avg: 8.4/10)
  • Data Security: 9.1/10 (Category avg: 8.8/10)
  • Scalability: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: 135 Constitution Drive, Menlo Park CA
  • Twitter: @SnowflakeDB
    278 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 43% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Snowflake, which simplifies data sharing and enhances productivity across teams.
  • Users value the reliable features and user-friendly interface of Snowflake, enhancing data management and analytics efficiency.
  • Users value the seamless scalability of Snowflake, enabling efficient handling of large datasets and workload changes without performance loss.
  • Users value the fast and efficient data processing capabilities of Snowflake, enhancing their analysis experience significantly.
Cons
  • Users highlight the high costs of Snowflake, making it less accessible for smaller businesses with limited budgets.
  • Users find feature limitations in Snowflake, such as lack of code blocks and restricted permissions, frustrating.
  • Users often struggle with high costs due to unoptimized queries and inadequate cost control measures in Snowflake.
  • Users find the cost structure challenging, requiring time to optimize for efficient use of Snowflake.
  • Users find Snowflake's limited features in dynamic scripts and monitoring hinder flexibility and usability.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

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: 169

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How Do G2 Users Rate IBM watsonx.data?

  • Ease of Use: 8.2/10 (Category avg: 8.7/10)
  • Data Governance: 9.5/10 (Category avg: 8.4/10)
  • Data Security: 9.5/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind IBM watsonx.data?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 34% Small, 31% 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, finding it reliable and efficient for data management.
  • Users value the seamless data integration and user-friendly interface of IBM watsonx.data for efficient analytics.
  • Users appreciate the organized and efficient data management of IBM watsonx.data, simplifying analytics and enhancing team collaboration.
  • Users value the seamless data source integration of IBM watsonx.data, enhancing efficiency and flexibility in their workflows.
  • Users appreciate the flexible analytics capabilities of IBM watsonx.data, enabling faster insights from diverse data sources.
Cons
  • Users find the steep learning curve of IBM watsonx.data challenging, hindering easy adoption for newcomers.
  • Users find the complexity of setting up IBM watsonx.data a barrier, especially for newcomers and small teams.
  • Users find the pricing steep for IBM watsonx.data, especially for smaller businesses with limited resources.
  • Users find the difficult setup process time-consuming, with a steep learning curve and extensive documentation review required.
  • Users find performance tuning difficult with IBM watsonx.data, especially for beginners and teams with limited IT resources.

What Are Recent G2 Reviews of IBM watsonx.data?

SAP Datasphere

SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to deliver seamless and scalable access to mission-critical business data. SAP Datasphere, and its open data ecosystem, is the foundation for a business data fabric.

Average Rating: 4.2/5.0

Total Reviews: 163

How Do G2 Users Rate SAP Datasphere?

  • Ease of Use: 8.1/10 (Category avg: 8.7/10)
  • Data Governance: 8.6/10 (Category avg: 8.4/10)
  • Data Security: 8.7/10 (Category avg: 8.8/10)
  • Scalability: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind SAP Datasphere?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Business Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Large, 36% Medium

What Do G2 Reviewers Say About SAP Datasphere?

AI-generated summary from verified user reviews

Pros
  • Users find SAP Datasphere's ease of use enhances their workflow significantly compared to similar services.
  • Users value the easy integrations of SAP Datasphere, allowing seamless connectivity with ERP systems for enhanced data management.
  • Users value the seamless integration of diverse data sources in SAP Datasphere, enhancing data management and accessibility for analytics.
  • Users appreciate the business-contextualized data integration of SAP Datasphere, which simplifies analytics and promotes collaboration.
  • Users value the seamless collaboration of SAP Datasphere, making data access and integration efficient within the SAP ecosystem.
Cons
  • Users are frustrated by the slow performance of SAP Datasphere, especially when handling large datasets and complex tasks.
  • Users find the pricing expensive, which can make it challenging for new users to adopt SAP Datasphere effectively.
  • Users experience performance issues with SAP Datasphere, noting slow speeds and latency, especially with large datasets.
  • Users face integration issues with SAP Datasphere, finding it challenging to set up and connect various data sources.
  • Users find the complex setup of SAP Datasphere challenging, often leading to frustration during the initial configuration.

What Are Recent G2 Reviews of SAP Datasphere?

What Are G2 Users Discussing About SAP Datasphere?

Amazon Redshift

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Average Rating: 4.3/5.0

Total Reviews: 371

How Do G2 Users Rate Amazon Redshift?

  • Ease of Use: 8.7/10 (Category avg: 8.7/10)
  • Data Governance: 8.7/10 (Category avg: 8.4/10)
  • Data Security: 8.8/10 (Category avg: 8.8/10)
  • Scalability: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Amazon Redshift?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Large, 39% Medium

What Do G2 Reviewers Say About Amazon Redshift?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the fast querying capabilities of Amazon Redshift, enjoying efficient and smooth data access for large datasets.
  • Users appreciate the seamless integrations of Amazon Redshift, enhancing functionality and efficiency across their data solutions.
  • Users appreciate the ease of use of Amazon Redshift, finding it simple to connect and manage data effectively.
  • Users appreciate the easy integrations with other software and AWS services, enhancing their data management experience.
  • Users appreciate the impressive speed and scalability of Amazon Redshift, enhancing their data warehousing experience significantly.
Cons
  • Users note notable feature limitations in Amazon Redshift, particularly in advanced analytics and cross-language coding.
  • Users find software limitations in Redshift, experiencing issues with performance, concurrency, and data type support.
  • Users face significant complexity in optimizations with Redshift, requiring extensive management and specialized knowledge for effective use.
  • Users face query issues, requiring significant time for optimization, tuning, and managing complexity and concurrency challenges.
  • Users face a significant query optimization challenge with Redshift, requiring considerable effort and specialized knowledge.

What Are Recent G2 Reviews of Amazon Redshift?

What Are G2 Users Discussing About Amazon Redshift?

IBM Db2

Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency transactions and real-time analytics equipped for the most demanding workloads. From microservices to AI workloads, Db2 is the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.

Average Rating: 4.1/5.0

Total Reviews: 600

How Do G2 Users Rate IBM Db2?

  • Ease of Use: 8.0/10 (Category avg: 8.7/10)
  • Data Governance: 8.7/10 (Category avg: 8.4/10)
  • Data Security: 9.0/10 (Category avg: 8.8/10)
  • Scalability: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind IBM Db2?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • 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: Information Technology and Services, Banking
  • Company Size: 66% Large, 21% Medium

What Do G2 Reviewers Say About IBM Db2?

AI-generated summary from verified user reviews

Pros
  • Users highlight the high performance of IBM Db2, appreciating its reliability and efficiency in managing large datasets.
  • Users praise IBM Db2 for its exceptional reliability, consistently delivering strong performance even under heavy workloads.
  • Users find IBM Db2 to be easy to use and integrate, enhancing daily tasks and overall efficiency.
  • Users commend the scalability of IBM Db2, ensuring excellent performance even with large datasets and enterprise workloads.
  • Users value the high availability of IBM Db2, ensuring seamless access to data even during outages.
Cons
  • Users express concern over feature limitations in IBM Db2, desiring quicker updates and improved management tools.
  • Users find IBM Db2's setup complex, facing high costs and limited documentation that complicate the user experience.
  • Users often find the complex setup of IBM Db2 challenging, requiring significant time and effort to manage effectively.
  • Users find the difficult setup of IBM Db2 challenging, often leading to frustration during initial configuration and administration.
  • Users feel that the expertise required for IBM Db2 makes it harder to find skilled specialists and implement new features.

What Are Recent G2 Reviews of IBM Db2?

What Are G2 Users Discussing About IBM Db2?

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: 4.4/5.0

Total Reviews: 106

How Do G2 Users Rate Starburst?

  • Ease of Use: 8.9/10 (Category avg: 8.7/10)
  • Data Governance: 7.7/10 (Category avg: 8.4/10)
  • Data Security: 8.4/10 (Category avg: 8.8/10)
  • Scalability: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Starburst?

  • Seller: Starburst
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Boston, MA
  • Twitter: @starburstdata
    3,454 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    543 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 43% Large, 34% Small

What Do G2 Reviewers Say About Starburst?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the fast querying capabilities of Starburst, significantly enhancing their data analysis efficiency across diverse sources.
  • Users commend Starburst for its exceptional query efficiency, enabling seamless execution of complex queries across multiple data sources.
  • Users are impressed by the fast and efficient data querying that Starburst offers, simplifying complex analytics tasks.
  • Users find Starburst's ease of use impressive, highlighting quick setup and maintenance-free administration.
  • Users value the seamless integration with various data sources, significantly enhancing data access and analysis efficiency.
Cons
  • Users face query issues with performance delays, particularly with complex or large datasets impacting efficiency and insights.
  • Users experience slow performance on Starburst, especially with complex queries and multiple simultaneous users affecting efficiency.
  • Users note the poor documentation that lacks advanced examples, making it hard for enterprise-level needs.
  • Users find the setup and complexity of Starburst challenging, especially for beginners navigating its advanced features.
  • Users often experience performance issues with Starburst, especially when handling large data sets and complex queries.

What Are Recent G2 Reviews of Starburst?

What Are G2 Users Discussing About Starburst?

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?

  • Ease of Use: 8.3/10 (Category avg: 8.7/10)
  • Data Governance: 7.9/10 (Category avg: 8.4/10)
  • Data Security: 8.2/10 (Category avg: 8.8/10)
  • Scalability: 8.5/10 (Category avg: 8.5/10)

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 highlight the extreme performance of Teradata Autonomous Knowledge Platform, emphasizing its speed in processing large data volumes.
  • Users value the high performance and scalability of Teradata for handling complex queries and data integration.
  • Users value the scalability of Teradata Autonomous Knowledge Platform, seamlessly integrating and managing vast data resources efficiently.
  • Users commend the extreme performance of Teradata, highlighting its speed in processing large datasets seamlessly.
  • Users value the fast processing of large datasets in Teradata, appreciating its stability and integration capabilities.
Cons
  • Users identify a steep learning curve for Teradata Autonomous Knowledge Platform, hindering new user adaptation and productivity.
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, especially for those less technically inclined.
  • Users find the complexity of the Teradata platform challenging, especially for non-technical users and new adopters.
  • Users struggle with the cost transparency of Teradata Autonomous Knowledge Platform, needing close management to avoid issues.
  • Users express concerns about the high cost of the Teradata Autonomous Knowledge Platform, highlighting affordability issues.

What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

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. 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: 188

How Do G2 Users Rate Cloudera?

  • Ease of Use: 8.3/10 (Category avg: 8.7/10)
  • Data Governance: 8.8/10 (Category avg: 8.4/10)
  • Data Security: 9.0/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • Twitter: @cloudera
    106,442 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 35% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users praise the user-friendly interface of Cloudera, highlighting its simplicity in managing big data efficiently.
  • Users value the easy scalability of Cloudera, enabling efficient management of large amounts of data effortlessly.
  • Users value the robust security features of Cloudera, ensuring safe and reliable data management across platforms.
  • Users value the comprehensive suite of tools in Cloudera for effective data management and analytics.
  • Users find Cloudera's scalability and centralized administration invaluable for efficient monitoring and management of data processes.
Cons
  • Users express concerns over the high costs of Cloudera, noting it's expensive for its complexity and maintenance.
  • Users find Cloudera's database to be complex, making it challenging for inexperienced professionals to utilize effectively.
  • Users find Cloudera's setup difficult to learn, particularly challenging for beginners without adequate tutorials or guidance.
  • Users find the poor documentation of Cloudera frustrating, complicating navigation and setup for complex data configurations.
  • Users often face access issues with Cloudera, particularly with unauthorized errors in Airflow tasks and limited documentation.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

VMware Greenplum

Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, VMware Greenplum delivers unmatched analytical query performance on massive volumes of data.

Average Rating: 4.3/5.0

Total Reviews: 55

How Do G2 Users Rate VMware Greenplum?

  • Ease of Use: 8.4/10 (Category avg: 8.7/10)
  • Data Governance: 9.3/10 (Category avg: 8.4/10)
  • Data Security: 9.3/10 (Category avg: 8.8/10)
  • Scalability: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind VMware Greenplum?

  • Seller: Broadcom
  • Year Founded: 1991
  • HQ Location: San Jose, CA
  • Twitter: @broadcom
    63,909 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    44,602 employees on LinkedIn®
  • Ownership: NASDAQ: CA

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 31% Medium

What Are Recent G2 Reviews of VMware Greenplum?

What Are G2 Users Discussing About VMware Greenplum?

Tembo

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience.

Average Rating: 4.7/5.0

Total Reviews: 26

How Do G2 Users Rate Tembo?

  • Ease of Use: 9.4/10 (Category avg: 8.7/10)
  • Data Governance: 9.6/10 (Category avg: 8.4/10)
  • Data Security: 9.6/10 (Category avg: 8.8/10)
  • Scalability: 9.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Tembo?

  • Seller: Tembo
  • Year Founded: 2022
  • HQ Location: Cincinnati, US
  • Twitter: @tembo_io
    3 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 85% Small, 15% Medium

What Do G2 Reviewers Say About Tembo?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Tembo, finding it simple to set up and manage tasks effectively.
  • Users love the user-friendly dashboard of Tembo, which simplifies task management and enhances team collaboration.
  • Users value the easy integrations with various data sources, streamlining their workflow and enhancing data management.
  • Users appreciate the ease of setup with Tembo, enabling quick deployment and user-friendly navigation.
  • Users value the easy integrations of Tembo, enhancing efficiency and simplifying complex data management tasks effortlessly.
Cons
  • Users find the limited flexibility of Tembo frustrating, as it restricts integration and customization options.
  • Users find the limited integration to only AWS a significant drawback, wishing for broader cloud service support.
  • Users highlight the restrictive cloud limitations of Tembo, particularly its exclusive support for AWS.
  • Users find Tembo to be expensive, especially for small businesses due to variable pricing and additional service costs.
  • Users find the limited customization of Tembo restrictive, impacting flexibility and functionality for their specific needs.

What Are Recent G2 Reviews of Tembo?

SQL Server 2019

Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

Average Rating: 4.5/5.0

Total Reviews: 78

How Do G2 Users Rate SQL Server 2019?

  • Ease of Use: 9.0/10 (Category avg: 8.7/10)
  • Data Governance: 8.5/10 (Category avg: 8.4/10)
  • Data Security: 9.0/10 (Category avg: 8.8/10)
  • Scalability: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind SQL Server 2019?

  • 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: Computer Software, Information Technology and Services
  • Company Size: 37% Medium, 35% Large

What Do G2 Reviewers Say About SQL Server 2019?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless data integration in SQL Server 2019, enhancing performance for complex queries and applications.
  • Users appreciate the advanced indexing and optimized data retrieval in SQL Server 2019, improving complex query handling.
Cons
  • Users note that SQL Server 2019 has high licensing costs that may be unaffordable for smaller projects.

What Are Recent G2 Reviews of SQL Server 2019?

What Are G2 Users Discussing About SQL Server 2019?

Aden

Aden is the first self-evolving execution engine designed to move AI agents beyond static, brittle flowcharts. Instead of breaking when an API changes or a prompt is ambiguous, the system uses a "Queen Bee" architecture to synthesize new logic in real-time. It captures failure traces, updates its internal Goal Object, and automatically refactors its own code to overcome obstacles. By shifting from manual orchestration to autonomous evolution, Aden enables engineers to focus on defining outcomes rather than babysitting brittle scripts.

Average Rating: 5.0/5.0

Total Reviews: 34

How Do G2 Users Rate Aden?

  • Ease of Use: 9.7/10 (Category avg: 8.7/10)
  • Data Governance: 9.5/10 (Category avg: 8.4/10)
  • Data Security: 9.3/10 (Category avg: 8.8/10)
  • Scalability: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Aden?

  • Seller: Acho
  • Year Founded: 2020
  • HQ Location: Boston, MA
  • Twitter: @acho
    31 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 68% Small, 18% Medium

What Are Recent G2 Reviews of Aden?

What Are G2 Users Discussing About Aden?

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?

  • Ease of Use: 8.5/10 (Category avg: 8.7/10)
  • Data Governance: 8.3/10 (Category avg: 8.4/10)
  • Data Security: 8.5/10 (Category avg: 8.8/10)
  • Scalability: 8.3/10 (Category avg: 8.5/10)

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?