# Best Data Warehouse Solutions with AI/ ML Integration Capabilities

## How Many Data Warehouse Solutions Products Does G2 Track?

**Total Products under this Category:** 120

### Category Stats (Aug 2026)

- **Average Rating:** 4.37/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Rubrik (+0.2%) - Among all products in this category, Rubrik recorded the largest rating increase compared to last month

_Last updated: August 06, 2026_

## How Does G2 Rank Data Warehouse Solutions Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 7,400+ Authentic Reviews
- 120+ 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](https://www.g2.com/categories/data-warehouse/grids.png?focus%5B%5D=10470&focus%5B%5D=6073&focus%5B%5D=10938&focus%5B%5D=129730&focus%5B%5D=1308796&focus%5B%5D=10898&focus%5B%5D=6058&focus%5B%5D=58132)

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)

**Sponsored**

### 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.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=77&secure%5Bchosen_at%5D=2026-08-07T13%3A01%3A50Z&secure%5Bdisplayable_resource_id%5D=77&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=77&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=77&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-warehouse%2Ff%2Fai-ml-integration%3Ffilters%255Bverified_features%255D%255B%255D%3D11595&secure%5Btoken%5D=9c006efbc4f237921e5af4c510d56a46aa25dfb65b24ddf2d6b2e5eae9674853&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url)

### [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)

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:** 8.8/10 (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](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 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 appreciate the **ease of use** of Google Cloud BigQuery, enabling quick analysis of massive datasets without hassle.
- Users appreciate the **exceptional speed** of BigQuery, allowing for quick processing of large datasets seamlessly.
- Users love the **easy integration** with Google Cloud services, enabling smooth data analysis and management.
- Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, allowing effortless analysis of massive datasets.
- Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed.

##### Cons

- Users find the **costs can escalate quickly** with Google Cloud BigQuery, requiring careful query optimization to manage expenses.
- Users struggle with **query issues** in BigQuery, facing rising costs and challenges in query optimization and troubleshooting.
- Users find **cost management challenging** with Google Cloud BigQuery due to unpredictable pricing and incidents of unexpected charges.
- Users experience **cost issues** with Google Cloud BigQuery, struggling with unexpected high bills and limited pricing visibility.
- Users find the **steep learning curve** of Google Cloud BigQuery challenging, particularly for advanced features and optimization techniques.

#### What Are Recent G2 Reviews of Google Cloud BigQuery?

**["Easy-to-Use Cloud Tool with Shareable, Saved Queries"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)**

**Rating:** 4.0/5.0 stars

_— Reetika P._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)

**["Scalable, Secure BigQuery That Connects Seamlessly Across Services"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)**

**Rating:** 5.0/5.0 stars

_— Aayush M._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)

#### What Are G2 Users Discussing About Google Cloud BigQuery?

- [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote
- [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes
- [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment
- [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment

### [Databricks](https://www.g2.com/products/databricks/reviews)

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:** 1,331

#### 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:** 9.0/10 (Category avg: 8.8/10)
- **Scalability:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Databricks?

- **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)
- **Company Website:** databricks.com
- **Year Founded:** 2013
- **HQ Location:** San Francisco, CA
- **Twitter:** @databricks  
92,269 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 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 praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications.
- Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services.
- Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency.
- Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights.
- Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization.

##### Cons

- Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability.
- Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects.
- Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools.
- Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes.
- Users face **complex setup** challenges initially, though support helps simplify the experience over time.

#### What Are Recent G2 Reviews of Databricks?

**["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13198355)

**["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13181721)

#### What Are G2 Users Discussing About Databricks?

- [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
- [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [Snowflake](https://www.g2.com/products/snowflake/reviews)

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:** 4.5/5.0

**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.](https://www.g2.com/sellers/snowflake-inc)
- **Company Website:** www.snowflake.com
- **Year Founded:** 2012
- **HQ Location:** 135 Constitution Drive, Menlo Park CA
- **Twitter:** @SnowflakeDB  
278 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ad18ff73a9b8bb34dd1b98a6ba1c6be57f7364939ad352612ecc483aba05d2b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsnowflake-computing%2F&secure%5Burl_type%5D=linkedin_company_website)  
11,308 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, finding it fast and effective for data sharing and analytics.
- Users value the **reliable features** of Snowflake, enjoying its intuitive interface and seamless data integration for analytics.
- Users find Snowflake's **data management capabilities** excellent for efficiently aggregating and querying across multiple datasets.
- Users admire the **seamless scalability** of Snowflake, effortlessly accommodating work demands and ensuring optimal performance.
- Users appreciate the **fast data analysis** of Snowflake, enabling quick insights without infrastructure worries.

##### Cons

- Users find Snowflake's **high costs** burdensome, especially for small businesses with limited budgets.
- Users find **feature limitations** in Snowflake, such as lack of code blocks and challenge in permissions management.
- Users find that **cost management** requires discipline, as unexpected charges can accumulate quickly without careful monitoring.
- Users find the **cost structure difficult to optimize** , leading to unexpectedly high initial expenses during implementation.
- Users find Snowflake's **limited features** in dynamic scripts and monitoring hinder flexibility and usability.

#### What Are Recent G2 Reviews of Snowflake?

**["Elastic Scaling and Fast Analytics with Snowflake"](https://www.g2.com/survey_responses/snowflake-review-13129003)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/snowflake-review-13129003)

**["Snowflake Simplifies Data Management at Scale"](https://www.g2.com/survey_responses/snowflake-review-12898129)**

**Rating:** 4.0/5.0 stars

_— Harshil A._

[Read full review](https://www.g2.com/survey_responses/snowflake-review-12898129)

#### What Are G2 Users Discussing About Snowflake?

- [What is Snowflake used for?](https://www.g2.com/discussions/what-is-snowflake-used-for) - 2 comments, 1 upvote

### [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)

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)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
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 value the **fast querying capabilities** of Amazon Redshift, enabling efficient analysis of large datasets seamlessly.
- Users praise the **easy integrations** with other software, enhancing data solutions within the Amazon Redshift ecosystem.
- Users find Amazon Redshift's **ease of use** exceptional, facilitating quick access and efficient data management.
- Users value the **easy integrations** of Amazon Redshift, enhancing their ability to build seamless data solutions.
- Users praise the **impressive speed and scalability** of Amazon Redshift, optimizing data management and query performance.

##### Cons

- Users find **feature limitations** in Redshift, especially regarding advanced analytics and multi-language support for coding.
- Users note significant **software limitations** with Redshift, particularly regarding cost and performance issues with complex queries.
- Users find the **complexity of optimizations** in Amazon Redshift burdensome, requiring significant management and maintenance effort.
- Users face **query issues** with Amazon Redshift, requiring extensive optimization and management to maintain performance.
- Users find the **query optimization process cumbersome** , as it requires significant effort and specialized knowledge for efficiency.

#### What Are Recent G2 Reviews of Amazon Redshift?

**["Scalable and Efficient Cloud Data Platform"](https://www.g2.com/survey_responses/amazon-redshift-review-12872150)**

**Rating:** 4.5/5.0 stars

_— Swaroop W._

[Read full review](https://www.g2.com/survey_responses/amazon-redshift-review-12872150)

**["Powerful Analytics Tool with Some Flexibility Limitations"](https://www.g2.com/survey_responses/amazon-redshift-review-12781722)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-redshift-review-12781722)

#### What Are G2 Users Discussing About Amazon Redshift?

- [What is Amazon Redshift used for?](https://www.g2.com/discussions/what-is-amazon-redshift-used-for)
- [Is AWS redshift a database?](https://www.g2.com/discussions/is-aws-redshift-a-database) - 1 comment
- [When can I use Amazon redshift?](https://www.g2.com/discussions/when-can-i-use-amazon-redshift) - 3 comments
- [What are the characteristics of redshift?](https://www.g2.com/discussions/what-are-the-characteristics-of-redshift) - 2 comments
- [What does Amazon redshift do?](https://www.g2.com/discussions/what-does-amazon-redshift-do) - 2 comments

### [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

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

#### 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?

- **Seller:** [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform)
- **Year Founded:** 1979
- **HQ Location:** San Diego, CA
- **Twitter:** @Teradata  
93,113 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06895b9a8db4fa478ba7da480ccd214a14ef698abd028e4642e62f189e82b650&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1466%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,941 employees on LinkedIn®
- **Ownership:** NYSE:TDC

#### 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 the Teradata Autonomous Knowledge Platform, especially for processing large data volumes efficiently.
- Users value the **high performance query execution** in Teradata, enhancing their business analytics capabilities significantly.
- Users value the **scalability** of Teradata Autonomous Knowledge Platform, enhancing data integration and operational efficiency significantly.
- Users commend the **high performance and speed** of Teradata, efficiently processing large datasets without issues.
- Users value the **fast processing of large datasets** with Teradata, praising its performance and stability during operations.

##### Cons

- Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, impacting adoption and productivity temporarily.
- Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, particularly for those lacking technical expertise.
- Users find the **complexity** of Teradata's platform challenging, particularly for non-technical users and new adopters.
- Users express concerns over the **cost management requirements** needed to avoid potential misusage and performance issues.
- Users feel the **high cost** of Teradata Autonomous Knowledge Platform is a significant drawback affecting accessibility.

#### What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

**["Teradata Vantage Fast Query Performance and Strong Analytics for Big Data"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)

**["Teradata Vantage Excels at Big Data Processing and Advanced Analytics"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)**

**Rating:** 4.5/5.0 stars

_— Nijat I._

[Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)

#### What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

- [What does Teradata Data Lab do?](https://www.g2.com/discussions/what-does-teradata-data-lab-do)
- [Is Teradata a premiership?](https://www.g2.com/discussions/is-teradata-a-premiership)
- [What is Teradata Vantage?](https://www.g2.com/discussions/what-is-teradata-vantage)
- [How much does Teradata cost?](https://www.g2.com/discussions/how-much-does-teradata-cost)
- [What is Sandbox in Teradata?](https://www.g2.com/discussions/what-is-sandbox-in-teradata)

### [SQL Server 2019](https://www.g2.com/products/sql-server-2019/reviews)

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](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 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 **smooth integration with .NET Core** in SQL Server 2019, enhancing backend development and performance.
- Users value the **advanced indexing and optimized data retrieval** in SQL Server 2019 for handling complex queries effectively.

##### Cons

- Users find the **high licensing costs** of SQL Server 2019 to be a barrier, especially for smaller projects.

#### What Are Recent G2 Reviews of SQL Server 2019?

**["SQL Server 2019 Review"](https://www.g2.com/survey_responses/sql-server-2019-review-10693637)**

**Rating:** 4.5/5.0 stars

_— Kavya S._

[Read full review](https://www.g2.com/survey_responses/sql-server-2019-review-10693637)

**["Improved performance and scalability: an excellent experience"](https://www.g2.com/survey_responses/sql-server-2019-review-12241600)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer & Network Security_

[Read full review](https://www.g2.com/survey_responses/sql-server-2019-review-12241600)

#### What Are G2 Users Discussing About SQL Server 2019?

- [What is SQL Server 2019 used for?](https://www.g2.com/discussions/what-is-sql-server-2019-used-for) - 1 comment
- [What is SQL Server and its features?](https://www.g2.com/discussions/sql-server-2019-what-is-sql-server-and-its-features)
- [Why is SQL Server 2019?](https://www.g2.com/discussions/why-is-sql-server-2019)
- [Is SQL Server 2019 released?](https://www.g2.com/discussions/is-sql-server-2019-released)
- [What are the new features in SQL Server 2019?](https://www.g2.com/discussions/what-are-the-new-features-in-sql-server-2019)

### [VMware Greenplum](https://www.g2.com/products/vmware-greenplum/reviews)

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](https://www.g2.com/sellers/broadcom-ab3091cd-4724-46a8-ac89-219d6bc8e166)
- **Year Founded:** 1991
- **HQ Location:** San Jose, CA
- **Twitter:** @broadcom  
63,909 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=093adce8015fea9ef126312884b465dc8e3c20e17dcb12fbb77a7bd82577e7a5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbroadcom%2F&secure%5Burl_type%5D=linkedin_company_website)  
55,094 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?

**["Open-Source MPP Database That Supercharges Large-Scale Analytics"](https://www.g2.com/survey_responses/vmware-greenplum-review-12872814)**

**Rating:** 5.0/5.0 stars

_— deepeshkumar G._

[Read full review](https://www.g2.com/survey_responses/vmware-greenplum-review-12872814)

**["Greenplum - BIg Data Database"](https://www.g2.com/survey_responses/vmware-greenplum-review-6752415)**

**Rating:** 4.0/5.0 stars

_— Naveen A._

[Read full review](https://www.g2.com/survey_responses/vmware-greenplum-review-6752415)

#### What Are G2 Users Discussing About VMware Greenplum?

- [Who uses Greenplum?](https://www.g2.com/discussions/who-uses-greenplum)
- [What type of database is greenplum?](https://www.g2.com/discussions/what-type-of-database-is-greenplum)
- [What is Greenplum software?](https://www.g2.com/discussions/what-is-greenplum-software)
- [What is greenplum used for?](https://www.g2.com/discussions/what-is-greenplum-used-for)

### [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)

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

#### 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](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 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 **exceptional performance** of IBM Db2, praising its reliability and scalability for critical workloads.
- Users value the **high reliability** of IBM Db2, ensuring excellent performance and stability for critical workloads.
- Users appreciate the **scalability** of IBM Db2, finding it ideal for high-performance, enterprise-level applications.
- Users highlight the **strong security** of IBM Db2, making it a reliable choice for critical workloads across industries.
- Users appreciate the **ease of use** of IBM Db2, highlighting its seamless integration and user-friendly features.

##### Cons

- Users find the **complex setup** of IBM Db2 challenging, often leading to a steep learning curve for effective use.
- Users find IBM Db2 to be **expensive** , with high licensing costs and significant resource demands impacting their budget.
- Users face a **steep learning curve** with IBM Db2, making setup and administration challenging for newcomers.
- Users find IBM Db2's setup **complex** , with a steep learning curve and challenges in documentation and support.
- Users find the **difficult setup** of IBM Db2 challenging, citing complexity and steep learning curves as significant barriers.

#### What Are Recent G2 Reviews of IBM Db2?

**["Comprehensive Review of DB2 on IBM i (AS/400)"](https://www.g2.com/survey_responses/ibm-db2-review-9863177)**

**Rating:** 4.5/5.0 stars

_— Swapnil T._

[Read full review](https://www.g2.com/survey_responses/ibm-db2-review-9863177)

**["IBM Db2: A Reliable and High-Performance Enterprise Database Platform"](https://www.g2.com/survey_responses/ibm-db2-review-13196115)**

**Rating:** 4.5/5.0 stars

_— Vinodh P._

[Read full review](https://www.g2.com/survey_responses/ibm-db2-review-13196115)

#### What Are G2 Users Discussing About IBM Db2?

- [What is IBM Db2 used for?](https://www.g2.com/discussions/what-is-ibm-db2-used-for) - 1 comment
- [What does Ibm Dashdb do?](https://www.g2.com/discussions/what-does-ibm-dashdb-do) - 1 comment
- [What database does IBM use?](https://www.g2.com/discussions/what-database-does-ibm-use)
- [What is DB2 Warehouse?](https://www.g2.com/discussions/what-is-db2-warehouse)
- [What is IBM dashDB?](https://www.g2.com/discussions/what-is-ibm-dashdb)

### [IBM Netezza Performance Server](https://www.g2.com/products/ibm-netezza-performance-server/reviews)

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

#### How Do G2 Users Rate IBM Netezza Performance Server?

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

#### Who Is the Company Behind IBM Netezza Performance Server?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Banking
- **Company Size:** 62% Large, 27% Medium

#### What Do G2 Reviewers Say About IBM Netezza Performance Server?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **exceptional speed** of IBM Netezza Performance Server, enhancing data analysis and handling complex queries efficiently.
- Users rave about the **exceptional speed and efficiency** of IBM Netezza Performance Server, enhancing data analysis and processing tasks.
- Users value the **user-friendly interface** of IBM Netezza Performance Server, making data analysis and integration effortless.
- Users praise the **exceptional processing speed** of IBM Netezza Performance Server, enhancing data analysis and query efficiency.
- Users commend the **high processing speed and efficiency** of IBM Netezza Performance Server for seamless data management.

##### Cons

- Users identify the **high cost** of IBM Netezza Performance Server as a significant challenge, particularly for smaller enterprises.
- Users find the **high maintenance costs** of IBM Netezza Performance Server a barrier, particularly for smaller businesses.
- Users find **integration issues** challenging when connecting IBM Netezza Performance Server with other software tools.
- Users find the **limited customization** options frustrating, which can hinder software integration and flexibility.
- Users experience **slow performance** with IBM Netezza Performance Server when handling millions of records, affecting query times.

#### What Are Recent G2 Reviews of IBM Netezza Performance Server?

**["Efficiency Unleashed: A Comprehensive Review of IBM Netezza Performance Server"](https://www.g2.com/survey_responses/ibm-netezza-performance-server-review-8891188)**

**Rating:** 4.0/5.0 stars

_— Verified User in Food Production_

[Read full review](https://www.g2.com/survey_responses/ibm-netezza-performance-server-review-8891188)

**["Unleashing intelligence with IBM Netezza, driving data analysis and expediting Insights."](https://www.g2.com/survey_responses/ibm-netezza-performance-server-review-9011395)**

**Rating:** 5.0/5.0 stars

_— Gunavardhan R._

[Read full review](https://www.g2.com/survey_responses/ibm-netezza-performance-server-review-9011395)

#### What Are G2 Users Discussing About IBM Netezza Performance Server?

- [What is IBM Netezza Performance Server used for?](https://www.g2.com/discussions/what-is-ibm-netezza-performance-server-used-for)
- [What is IBM PureData?](https://www.g2.com/discussions/what-is-ibm-puredata)
- [What is netezza used for?](https://www.g2.com/discussions/what-is-netezza-used-for)
- [Is Netezza end of life?](https://www.g2.com/discussions/is-netezza-end-of-life)
- [What is IBM PDA?](https://www.g2.com/discussions/what-is-ibm-pda)

### [Rubrik](https://www.g2.com/products/rubrik/reviews)

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:** 4.6/5.0

**Total Reviews:** 279

#### How Do G2 Users Rate Rubrik?

- **Ease of Use:** 9.1/10 (Category avg: 8.7/10)
- **Data Governance:** 9.0/10 (Category avg: 8.4/10)
- **Data Security:** 9.2/10 (Category avg: 8.8/10)
- **Scalability:** 9.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Rubrik?

- **Seller:** [Rubrik](https://www.g2.com/sellers/rubrik)
- **Company Website:** www.rubrik.com
- **Year Founded:** 2014
- **HQ Location:** Palo Alto, California
- **Twitter:** @rubrikInc  
44,021 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=62c2fafa7bcff10fab6b5074fb81b0b19d99e38b217b5c2e1605adbbdb7da7ff&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F4840301%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,110 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** System Administrator
- **Top Industries:** Information Technology and Services, Hospital & Health Care
- **Company Size:** 48% Large, 34% Medium

#### What Do G2 Reviewers Say About Rubrik?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Rubrik's **ease of use** and intuitive setup significantly streamline backup and recovery management.
- Users value how Rubrik’s backup solutions provide **ease of implementation** and efficient management without impacting applications.
- Users appreciate the **reliability** of Rubrik, ensuring dependable backups and robust data protection with ease of use.
- Users appreciate the **backup efficiency** of Rubrik, enabling seamless server and database protection with minimal impact.
- Users love Rubrik's **user-friendly interface** , making navigation and recovery processes efficient and straightforward.

##### Cons

- Users find Rubrik to be **expensive** , yet acknowledge that its value often justifies the high cost.
- Users find the **limited features** of Rubrik restricting their backup and reporting capabilities, impacting overall functionality.
- Users find the **complexity of advanced features** and integrations with Microsoft 365 data somewhat overwhelming and cumbersome.
- Users find **missing features** like limited database support and inadequate search options in Rubrik, hindering functionality.
- Users express concern over the **cost management** of Rubrik, particularly during yearly renewal processes.

#### What Are Recent G2 Reviews of Rubrik?

**["Reliable, hands-free backup that actually gives you peace of mind"](https://www.g2.com/survey_responses/rubrik-review-13070838)**

**Rating:** 5.0/5.0 stars

_— Shalu G._

[Read full review](https://www.g2.com/survey_responses/rubrik-review-13070838)

**["Evaluating Rubrik for Enterprise Data Protection"](https://www.g2.com/survey_responses/rubrik-review-13103366)**

**Rating:** 4.5/5.0 stars

_— Rayanne A._

[Read full review](https://www.g2.com/survey_responses/rubrik-review-13103366)

#### What Are G2 Users Discussing About Rubrik?

- [What operating system does rubrik use?](https://www.g2.com/discussions/what-operating-system-does-rubrik-use)
- [How is rubrik different?](https://www.g2.com/discussions/how-is-rubrik-different)
- [What makes rubrik unique?](https://www.g2.com/discussions/what-makes-rubrik-unique)
- [What is rubrik used for?](https://www.g2.com/discussions/what-is-rubrik-used-for)

### [Oracle Exadata Cloud Service](https://www.g2.com/products/oracle-exadata-cloud-service/reviews)

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

#### How Do G2 Users Rate Oracle Exadata Cloud Service?

- **Ease of Use:** 7.7/10 (Category avg: 8.7/10)
- **Data Governance:** 9.0/10 (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 Oracle Exadata Cloud Service?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Top Industries:** Banking, Government Administration
- **Company Size:** 73% Large, 23% Medium

#### What Are Recent G2 Reviews of Oracle Exadata Cloud Service?

**["Oracle exdata"](https://www.g2.com/survey_responses/oracle-exadata-cloud-service-review-7650103)**

**Rating:** 5.0/5.0 stars

_— Aslam M._

[Read full review](https://www.g2.com/survey_responses/oracle-exadata-cloud-service-review-7650103)

**["Very good product"](https://www.g2.com/survey_responses/oracle-exadata-cloud-service-review-8635449)**

**Rating:** 5.0/5.0 stars

_— sampath k._

[Read full review](https://www.g2.com/survey_responses/oracle-exadata-cloud-service-review-8635449)

#### What Are G2 Users Discussing About Oracle Exadata Cloud Service?

- [Which system configuration is offered by Oracle Exadata cloud services?](https://www.g2.com/discussions/which-system-configuration-is-offered-by-oracle-exadata-cloud-services)
- [What are the advantages of Oracle Exadata?](https://www.g2.com/discussions/what-are-the-advantages-of-oracle-exadata)
- [What are the features of Oracle cloud?](https://www.g2.com/discussions/oracle-exadata-cloud-service-what-are-the-features-of-oracle-cloud)
- [What is Oracle database Exadata cloud service?](https://www.g2.com/discussions/what-is-oracle-database-exadata-cloud-service)

### [Rocket Vertica](https://www.g2.com/products/rocket-vertica/reviews)

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](https://www.g2.com/sellers/rocket-software)
- **Year Founded:** 1990
- **HQ Location:** Waltham, MA
- **Twitter:** @Rocket  
3,532 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b73864de33f4d4d2949aae271fd0bb4f865863c2dbc784032057e526fcf55333&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10127%2F&secure%5Burl_type%5D=linkedin_company_website)  
4,347 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?

**["I have almost 2 years of experience in data warehousing and ETL."](https://www.g2.com/survey_responses/rocket-vertica-review-6848692)**

**Rating:** 4.0/5.0 stars

_— Abhishek K._

[Read full review](https://www.g2.com/survey_responses/rocket-vertica-review-6848692)

**["Streamlining work flow with OpenText Vertica"](https://www.g2.com/survey_responses/rocket-vertica-review-9248542)**

**Rating:** 4.0/5.0 stars

_— mandi N._

[Read full review](https://www.g2.com/survey_responses/rocket-vertica-review-9248542)

#### What Are G2 Users Discussing About Rocket Vertica?

- [What is Vertica used for?](https://www.g2.com/discussions/what-is-vertica-used-for)
- [What is Micro Focus vertica?](https://www.g2.com/discussions/what-is-micro-focus-vertica)
- [Is vertica open source?](https://www.g2.com/discussions/is-vertica-open-source) - 1 comment
- [Is vertica a data warehouse?](https://www.g2.com/discussions/is-vertica-a-data-warehouse) - 1 comment
- [Who uses Vertica?](https://www.g2.com/discussions/who-uses-vertica)

### [Cloudera](https://www.g2.com/products/cloudera/reviews)

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

#### 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](https://www.g2.com/sellers/cloudera)
- **Company Website:** www.cloudera.com
- **Year Founded:** 2008
- **HQ Location:** Santa Clara, CA
- **Twitter:** @cloudera  
106,442 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b6b5c58818dc39001f93594864d8d88fc876550d3da9306b76f69639a789f14&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F229433%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,446 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 42% Large, 32% Small

#### What Do G2 Reviewers Say About Cloudera?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience.
- Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease.
- Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection.
- Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience.
- Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless.

##### Cons

- Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners.
- Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization.
- Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners.
- Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution.
- Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support.

#### What Are Recent G2 Reviews of Cloudera?

**["Reliable Platform for Managing Large-Scale Data Pipelines"](https://www.g2.com/survey_responses/cloudera-review-11455117)**

**Rating:** 4.5/5.0 stars

_— Paritosh C._

[Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117)

**["Easy to Use, Reliable, and Great for Team Collaboration"](https://www.g2.com/survey_responses/cloudera-review-12695378)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378)

#### What Are G2 Users Discussing About Cloudera?

- [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment
- [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for)
- [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for)
- [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for)
- [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for)

### [Panoply](https://www.g2.com/products/panoply/reviews)

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

#### How Do G2 Users Rate Panoply?

- **Ease of Use:** 8.9/10 (Category avg: 8.7/10)
- **Data Governance:** 7.8/10 (Category avg: 8.4/10)
- **Data Security:** 8.7/10 (Category avg: 8.8/10)
- **Scalability:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Panoply?

- **Seller:** [Panoply](https://www.g2.com/sellers/panoply)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **Twitter:** @panoplyio  
5,485 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6cea8802fbefac1dfd30cef8eb99c53a9d6da26851e6ab9249d00b91b6eb8514&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9548934%2F&secure%5Burl_type%5D=linkedin_company_website)  
13 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 47% Small, 43% Medium

#### What Do G2 Reviewers Say About Panoply?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **customer support at Panoply** to be extremely helpful and responsive in troubleshooting issues.
- Users appreciate the **ease of use** of Panoply, thanks to the responsive support for non-developers.
- Users praise the **helpful integrations support** from Panoply, making setup and troubleshooting accessible for non-developers.

##### Cons

- Users desire additional **code review features** in Panoply's workbench to match those available in BigQuery.

#### What Are Recent G2 Reviews of Panoply?

**["Effortless Data Integration, Swift Support"](https://www.g2.com/survey_responses/panoply-review-12482020)**

**Rating:** 4.5/5.0 stars

_— Verified User in Apparel & Fashion_

[Read full review](https://www.g2.com/survey_responses/panoply-review-12482020)

**["Non-Developer User: Happy with the experience"](https://www.g2.com/survey_responses/panoply-review-9036045)**

**Rating:** 4.5/5.0 stars

_— Verified User in Veterinary_

[Read full review](https://www.g2.com/survey_responses/panoply-review-9036045)

#### What Are G2 Users Discussing About Panoply?

- [What is Panoply used for?](https://www.g2.com/discussions/what-is-panoply-used-for)
- [What does Panoply do?](https://www.g2.com/discussions/what-does-panoply-do) - 1 comment
- [How much does panoply cost?](https://www.g2.com/discussions/how-much-does-panoply-cost) - 1 comment
- [How do I use panoply software?](https://www.g2.com/discussions/how-do-i-use-panoply-software) - 1 comment
- [What is panoply software?](https://www.g2.com/discussions/what-is-panoply-software) - 1 comment

### [Zap Data Hub](https://www.g2.com/products/zap-data-hub/reviews)

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

#### How Do G2 Users Rate Zap Data Hub?

- **Ease of Use:** 8.0/10 (Category avg: 8.7/10)
- **Data Governance:** 7.6/10 (Category avg: 8.4/10)
- **Data Security:** 7.7/10 (Category avg: 8.8/10)
- **Scalability:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Zap Data Hub?

- **Seller:** [ZAP](https://www.g2.com/sellers/zap)
- **Year Founded:** 2001
- **HQ Location:** Brisbane, Australia
- **Twitter:** @ZAP\_Data  
1,552 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=40ff523c982ae465dc260372a2950b1cdc633097c3cd8fa18073b625378ca439&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F61528%2F&secure%5Burl_type%5D=linkedin_company_website)  
88 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Oil & Energy, Computer Software
- **Company Size:** 61% Medium, 28% Large

#### What Do G2 Reviewers Say About Zap Data Hub?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Zap Data Hub, enjoying its intuitive interface and seamless implementation.
- Users value the **easy integration of multiple data sources** , enhancing operational efficiency across teams.
- Users commend the **excellent customer support** from the Zap Team, ensuring timely and effective assistance when needed.
- Users value the **clean and seamless reporting functionality** of Zap Data Hub, enhancing efficiency and integration with ERP.
- Users commend the **intuitive analytics** of Zap Data Hub, streamlining reporting and decision-making for rapid business growth.

##### Cons

- Users find the **steep learning curve** challenging, requiring technical support for effective use of Zap Data Hub.
- Users face **complexity with connections and calculations** in Zap Data Hub, which can hinder efficiency and user experience.
- Users experience **import issues** with Excel sources, impacting connectivity and processing of large files in Zap Data Hub.
- Users face **connection issues with Excel data sources** , making integration and report exporting more challenging.
- Users note a **steep learning curve** with Zap Data Hub, making it challenging for occasional users to excel.

#### What Are Recent G2 Reviews of Zap Data Hub?

**["Powerful BI Reporting That Delivers Results"](https://www.g2.com/survey_responses/zap-data-hub-review-11960396)**

**Rating:** 4.0/5.0 stars

_— chris.hilton@agroliquid.com H._

[Read full review](https://www.g2.com/survey_responses/zap-data-hub-review-11960396)

**["Slick, Fast, and Intuitive BI Tool with Outstanding Support"](https://www.g2.com/survey_responses/zap-data-hub-review-11984060)**

**Rating:** 5.0/5.0 stars

_— Verified User in Gambling & Casinos_

[Read full review](https://www.g2.com/survey_responses/zap-data-hub-review-11984060)

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Benefits of Data Warehouse Solutions with AI/ ML Integration capabilities include: Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.

Below are the top-rated Data Warehouse Solutions with AI/ ML Integration capabilities, as verified by G2’s Research team. Real users have identified AI/ ML Integration as an important function of Data Warehouse Solutions. Compare different products that offer this feature so you can decide which is best for your business needs.

Top Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")](https://www.g2.com/products/google-cloud-bigquery/reviews)[BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)[4.5/5(1,224)](https://www.g2.com/products/google-cloud-bigquery/reviews) | Serverless SQL analytics on petabyte-scale datasets | "Easy-to-Use Cloud Tool with Shareable, Saved Queries" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/databricks/reviews)[Databricks](https://www.g2.com/products/databricks/reviews)[4.6/5(1,363)](https://www.g2.com/products/databricks/reviews) | Unified lakehouse warehousing with governed analytics | "Reliable Platform for Building Scalable Data Pipelines" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image")](https://www.g2.com/products/snowflake/reviews)[Snowflake](https://www.g2.com/products/snowflake/reviews)[4.5/5(763)](https://www.g2.com/products/snowflake/reviews) | Elastic multi-workload cloud data warehousing | "Elastic Scaling and Fast Analytics with Snowflake" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d7a53e3f1d29e84ae00193a07789a2e4/sap-datasphere.jpg "Product Avatar Image")](https://www.g2.com/products/sap-datasphere/reviews)[SAP Datasphere](https://www.g2.com/products/sap-datasphere/reviews)[4.2/5(170)](https://www.g2.com/products/sap-datasphere/reviews) | SAP-native semantic data warehousing with virtualization | "SAP Datasphere Simplifies Multi-Source Data Consolidation and Integration" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-data.jpg "Product Avatar Image")](https://www.g2.com/products/ibm-watsonx-data/reviews)[IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews)[4.4/5(172)](https://www.g2.com/products/ibm-watsonx-data/reviews) | Federated lakehouse querying without data movement | "Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image")](https://www.g2.com/products/amazon-redshift/reviews)[Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)[4.3/5(404)](https://www.g2.com/products/amazon-redshift/reviews) | AWS-native analytical data warehousing at petabyte scale | "Scalable and Efficient Cloud Data Platform" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_ce723ad59ccdd9d49948ce2bea0cc4cc/teradata-autonomous-knowledge-platform.jpg "Product Avatar Image")](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)[Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)[4.3/5(376)](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) | Massively parallel enterprise data warehousing with in-database analytics | "Teradata Vantage Fast Query Performance and Strong Analytics for Big Data" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_92337bdf8bb7b5fdb1c092d3f120bf49/sql-server-2019.png "Product Avatar Image")](https://www.g2.com/products/sql-server-2019/reviews)[Microsoft](https://www.g2.com/products/sql-server-2019/reviews)[4.5/5(83)](https://www.g2.com/products/sql-server-2019/reviews) | Relational data warehousing with Microsoft-native analytics | "SQL Server 2019 Review" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_4c85bfced34c1eebe94c08ab2c74f225/vmware-greenplum.png "Product Avatar Image")](https://www.g2.com/products/vmware-greenplum/reviews)[VMware Greenplum](https://www.g2.com/products/vmware-greenplum/reviews)[4.3/5(61)](https://www.g2.com/products/vmware-greenplum/reviews) | Petabyte-scale OLAP with MPP parallelism | "Open-Source MPP Database That Supercharges Large-Scale Analytics" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_5015a6ccbbe12278ba4392c1c0d806be/ibm-db2.png "Product Avatar Image")](https://www.g2.com/products/ibm-db2/reviews)[IBM Db2](https://www.g2.com/products/ibm-db2/reviews)[4.1/5(683)](https://www.g2.com/products/ibm-db2/reviews) | Hybrid OLTP and OLAP warehouse workloads | "Comprehensive Review of DB2 on IBM i (AS/400)" |

* * *

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