Total Products under this Category: 120
Last updated: August 06, 2026
Why You Can Trust G2's Software 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.
Highlighted products: Databricks, Google Cloud BigQuery, Snowflake, SAP Datasphere, IBM watsonx.data, Amazon Redshift, Teradata Autonomous Knowledge Platform, and VMware Greenplum.
Underlying data: [Grid® JSON](https://www.g2.com/categories/data-warehouse/grids.json?focus%5B%5D=databricks&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=snowflake&focus%5B%5D=sap-datasphere&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=amazon-redshift&focus%5B%5D=teradata-autonomous-knowledge-platform&focus%5B%5D=vmware-greenplum)
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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.
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: 1,145
AI-generated summary from verified user reviews
"Easy-to-Use Cloud Tool with Shareable, Saved Queries"
Rating: 4.0/5.0 stars
— Reetika P.
"Scalable, Secure BigQuery That Connects Seamlessly Across Services"
Rating: 5.0/5.0 stars
— Aayush M.
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: 1,335
AI-generated summary from verified user reviews
"Reliable Platform for Building Scalable Data Pipelines"
Rating: 5.0/5.0 stars
— aravind k.
"Databricks Streamlines ETL and Analytics with Scalable Notebooks"
Rating: 5.0/5.0 stars
— Diana C.
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: 714
AI-generated summary from verified user reviews
"Elastic Scaling and Fast Analytics with Snowflake"
Rating: 4.5/5.0 stars
— Ravindra N.
"Snowflake Simplifies Data Management at Scale"
Rating: 4.0/5.0 stars
— Harshil A.
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
AI-generated summary from verified user reviews
"Scalable and Efficient Cloud Data Platform"
Rating: 4.5/5.0 stars
— Swaroop W.
"Powerful Analytics Tool with Some Flexibility Limitations"
Rating: 4.0/5.0 stars
— Atharva P.
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: 356
AI-generated summary from verified user reviews
"Teradata Vantage Fast Query Performance and Strong Analytics for Big Data"
Rating: 5.0/5.0 stars
— Muzammil M.
"Teradata Vantage Excels at Big Data Processing and Advanced Analytics"
Rating: 4.5/5.0 stars
— Nijat I.
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
AI-generated summary from verified user reviews
Rating: 4.5/5.0 stars
— Kavya S.
"Improved performance and scalability: an excellent experience"
Rating: 5.0/5.0 stars
— Verified User in Computer & Network Security
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
"Open-Source MPP Database That Supercharges Large-Scale Analytics"
Rating: 5.0/5.0 stars
— deepeshkumar G.
"Greenplum - BIg Data Database"
Rating: 4.0/5.0 stars
— Naveen A.
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: 599
AI-generated summary from verified user reviews
"Comprehensive Review of DB2 on IBM i (AS/400)"
Rating: 4.5/5.0 stars
— Swapnil T.
"IBM Db2: A Reliable and High-Performance Enterprise Database Platform"
Rating: 4.5/5.0 stars
— Vinodh P.
Integrates database, server, storage and analytics into a single system with petabyte scalability. Fast analytics Provides a high-performance, massively parallel system that enables you to gain insight from your data and perform analytics on very large data volumes. Smart, efficient queries Simplifies analytics by consolidating all activity in one place, where the data resides. Simplified infrastructure Easy to deploy and manage; simplifies your data warehouse and analytic infrastructure. Does not require tuning, indexing or aggregated tables and needs minimal administration. Advanced security Enhanced data security is provided through self-encrypting drives as well as support for the Kerberos authentication protocol. Integrated platform Supports thousands of users, unifying data warehouse, Hadoop and business intelligence with advanced analytics.
Average Rating: 4.1/5.0
Total Reviews: 68
AI-generated summary from verified user reviews
"Unleashing intelligence with IBM Netezza, driving data analysis and expediting Insights."
Rating: 5.0/5.0 stars
— Gunavardhan R.
"Efficiency Unleashed: A Comprehensive Review of IBM Netezza Performance Server"
Rating: 4.0/5.0 stars
— Verified User in Food Production
Rubrik is the leading cyber resilience and data protection company with a mission to secure the world’s data. Rubrik pioneered Zero Trust Data SecurityTM to help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, built with a Zero Trust design and powered by machine learning, delivers complete cyber resilience in a single platform across enterprise, cloud, and SaaS. Rubrik’s platform automates data policy management and enforcement, safeguards sensitive data, delivers data threat analytics and response, and orchestrates rapid cyber and operational recovery.
Average Rating: 4.5/5.0
Total Reviews: 281
AI-generated summary from verified user reviews
"Evaluating Rubrik for Enterprise Data Protection"
Rating: 4.5/5.0 stars
— Rayanne A.
"Reliable and User-Friendly Backup Solution"
Rating: 4.5/5.0 stars
— Aditi S.
Offer a fast, reliable, and cost-effective platform for data warehousing and business intelligence that is easy to scale to meet the complex reporting.
Average Rating: 4.4/5.0
Total Reviews: 40
Rating: 5.0/5.0 stars
— Aslam M.
Rating: 5.0/5.0 stars
— sampath k.
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
"I have almost 2 years of experience in data warehousing and ETL."
Rating: 4.0/5.0 stars
— Abhishek K.
"Streamlining work flow with OpenText Vertica"
Rating: 4.0/5.0 stars
— mandi N.
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: 4.1/5.0
Total Reviews: 131
AI-generated summary from verified user reviews
"Reliable Platform for Managing Large-Scale Data Pipelines"
Rating: 4.5/5.0 stars
— Paritosh C.
"Easy to Use, Reliable, and Great for Team Collaboration"
Rating: 4.0/5.0 stars
— Verified User in Computer Software
Panoply makes it easy to sync, store, and access your data from any data source. Panoply’s easy-to-use, low-maintenance solution unlocks sophisticated analytics without complex data engineering and coding: Key features of the Panoply platform include: -Code-free data integrations for seamless syncing -Automated data warehouse configuration -A powerful workbench for SQL-based data exploration and visualization - In-platform dashboards and reporting -Connections to all major BI and analytical tools -Industry-leading onboarding and support Learn more at https://www.panoply.io
Average Rating: 4.5/5.0
Total Reviews: 80
AI-generated summary from verified user reviews
"Non-Developer User: Happy with the experience"
Rating: 4.5/5.0 stars
— Verified User in Veterinary
"Effortless Data Integration, Swift Support"
Rating: 4.5/5.0 stars
— Verified User in Apparel & Fashion
Zap Data Hub is a data warehouse automation solution that streamlines the extraction, loading and transformation (ELT) of ERP and business data into a centralized, governed warehouse for reporting and analytics. Zap Data Hub is used by finance, operations and IT teams who need a faster, more structured way to integrate ERP data from platforms such as Microsoft Dynamics 365, SAP Business One, Sage and SYSPRO alongside other business sources like CRM, payroll and inventory systems. It automates the heavy lifting involved in data integration and preparation, allowing businesses to build a trusted data foundation without extensive coding or manual processes. By automatically mapping, transforming and loading data into a warehouse, Zap eliminates reliance on spreadsheets, manual extracts and disconnected reporting. It creates a governed semantic model that ensures consistent metrics across tools like the Power BI integration, Excel add-in and browser-based reporting. Zap can be deployed in the cloud or on-premises, with support for Microsoft Fabric. Key features and value points • End-to-end data warehouse automation that structures and governs data from ERP and other business systems • Pre-built ERP connectors and models that accelerate deployment and reduce implementation effort • Governed semantic model that ensures consistent, trusted reporting across business units and analytics tools • Reporting support through the Excel add-in, Power BI integration and browser-based options • Deployment flexibility offering cloud-based or on-premises options • Future-ready architecture that integrates with Microsoft Fabric and supports evolving analytics needs Zap Data Hub is suited to organizations that want to automate their reporting data foundations, improve governance and drive business insights without the complexity of manual data engineering.
Average Rating: 4.3/5.0
Total Reviews: 44
AI-generated summary from verified user reviews
"Powerful BI Reporting That Delivers Results"
Rating: 4.0/5.0 stars
— chris.hilton@agroliquid.com H.
"Slick, Fast, and Intuitive BI Tool with Outstanding Support"
Rating: 5.0/5.0 stars
— Verified User in Gambling & Casinos
