# Best Columnar Databases

## How Many Columnar Databases Products Does G2 Track?

**Total Products under this Category:** 27

### Category Stats (Aug 2026)

- **Average Rating:** 4.33/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Snowflake (+0.02%) - Among all products in this category, Snowflake recorded the largest rating increase compared to last month

_Last updated: August 14, 2026_

## How Does G2 Rank Columnar Databases Products?

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

- 30 Analysts and Data Experts
- 3,400+ Authentic Reviews
- 27+ 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 Columnar Databases
 ![G2 Grid® for Columnar Databases plotting products by satisfaction and market presence](https://www.g2.com/categories/columnar-databases/grids.png?focus%5B%5D=6073&focus%5B%5D=10938&focus%5B%5D=10898&focus%5B%5D=133017&focus%5B%5D=971&focus%5B%5D=6042&focus%5B%5D=99088&focus%5B%5D=1204266)

Highlighted products: Google Cloud BigQuery, Snowflake, Amazon Redshift, ClickHouse, Rocket Vertica, MariaDB, MonetDB, and StarTree.

Underlying data: [Grid® JSON](https://www.g2.com/categories/columnar-databases/grids.json?focus%5B%5D=google-cloud-bigquery&focus%5B%5D=snowflake&focus%5B%5D=amazon-redshift&focus%5B%5D=clickhouse&focus%5B%5D=rocket-vertica&focus%5B%5D=mariadb&focus%5B%5D=monetdb&focus%5B%5D=startree)

**Sponsored**

### Profound

Profound helps the world’s biggest brands, including 10% of the Fortune 500, win more business from ChatGPT, Gemini, and other LLMs. With Profound, marketers get the full cycle of insight, action, and measurement. We provide the proprietary data, AI agents, and analytics you need to build high-impact campaigns that improve your visibility in AI search. As a result, teams at Ramp, DocuSign, and Figma use Profound daily to monitor their brand presence, identify high-value opportunities, and deploy AI agents that move the needle for agent engine optimization (AEO). Here’s what you get with Profound: Insights backed by data. Prompt Volumes is a proprietary dataset that creates the first accurate estimation of search conversations on LLMs. This lets you can pinpoint real, high-volume conversations relevant to your business, and inject your brand voice at scale. And, Answer Engine Insights then analyzes your brand's presence across ChatGPT, Perplexity, Gemini, and Copilot, showing how often you're mentioned, how you rank against competitors, sentiment trends, and which platforms drive the most visibility. Opportunities listed by highest potential impact. The Opportunities feature pinpoints where your brand visibility is weakest and tells you exactly what content will help you break into more AI search conversations. Each Opportunity is ranked by effort and impact, from net new content to existing optimizations. Profound Agents to take action autonomously. Agents autonomously use Profound's data to draft highly relevant articles, content briefs, landing pages, and optimizations. Through our integrations, they can notify teams for review via Slack, stage and publish directly in CMSs like WordPress, Sanity, and Contentful, or build presentations with Gamma. Our Agents can also perform deep research, use LLMs, build site maps, and more. Embedded analytics to measure true impact. Agent Analytics tracks what traditional analytics platforms like GA4 and Cloudflare miss. With infrastructure-level monitoring, see how bots and crawlers from AI platforms access your website: which pages crawlers visit, how often they return, and traffic and conversions from real users who were referred to your site via AI search. The Answer Engine Optimization (AEO) platform that drives results. Ramp used Profound to become the 5th most visible fintech brand in the world in a matter of weeks. "Profound allowed us to uncover behavioral patterns that traditional SEO tools couldn't capture. By analyzing long-tail queries in LLMs, we gained data-driven insights that let us run more targeted tests and stay ahead in AI-driven search." — Ashley Nguyen, SEO Strategist at Ramp Join the industry-leading marketing teams using Profound to control how their brands show up in AI search.

[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=2546&secure%5Bchosen_at%5D=2026-08-14T13%3A11%3A16Z&secure%5Bdisplayable_resource_id%5D=1010585&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1384736&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1384736&secure%5Bresource_id%5D=2546&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fcolumnar-databases&secure%5Btoken%5D=57e7ea2bd185b14f44269432425ebdb13d927851685fede749d8b709bee497f4&secure%5Burl%5D=https%3A%2F%2Fwww.tryprofound.com%2Fcontact-sales%3Futm_source%3Dg2%26utm_medium%3Dpaid%26utm_campaign%3Dg2-clicks-campaign&secure%5Burl_type%5D=book_demo)

### [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:** 1,145

#### How Do G2 Users Rate Google Cloud BigQuery?

- **Data Model:** 9.0/10 (Category avg: 8.7/10)
- **Data Types:** 8.7/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.5/10 (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

### [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:** 4.6/5.0

**Total Reviews:** 714

#### How Do G2 Users Rate Snowflake?

- **Data Model:** 9.2/10 (Category avg: 8.7/10)
- **Data Types:** 9.2/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.4/10)
- **Integrated Cache:** 9.2/10 (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?

- **Data Model:** 8.4/10 (Category avg: 8.7/10)
- **Data Types:** 8.4/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.2/10 (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

### [ClickHouse](https://www.g2.com/products/clickhouse/reviews)

ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-facing dashboards to running ad-hoc historical analysis over petabytes of data. Today, ClickHouse Cloud is used by enterprises all over the world, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more. ClickHouse is available open-source or through cloud services on AWS, GCP, and soon, Azure.

**Average Rating:** 4.5/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate ClickHouse?

- **Data Model:** 9.2/10 (Category avg: 8.7/10)
- **Data Types:** 9.0/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ClickHouse?

- **Seller:** [ClickHouse](https://www.g2.com/sellers/clickhouse)
- **Year Founded:** 2021
- **HQ Location:** Palo Alto, US
- **Twitter:** @ClickhouseDB  
18,013 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bf65982c864c1fa8c702a55ef5dfa198c293802cb4c26fc0b27b7d7677e1a6e8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fclickhouseinc%2F&secure%5Burl_type%5D=linkedin_company_website)  
577 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Small, 39% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **exceptional query performance** of ClickHouse, enabling fast and efficient analytics on large datasets.
- Users appreciate the **exceptional availability** of ClickHouse, enhancing their ability to perform real-time analytics efficiently.
- Users value ClickHouse for its **exceptional big data handling** , drastically improving analytics speed and efficiency.
- Users appreciate the **exceptional query performance** of ClickHouse, enjoying fast and efficient analytics on large datasets.
- Users value the **exceptional query performance** of ClickHouse, enabling fast analytics on large datasets efficiently.

##### Cons

- Users find **beginner unfriendliness** in ClickHouse due to the complexity of query optimizations for newcomers.
- Users find the **complex usage** challenging, especially for those unfamiliar with query optimizations in ClickHouse.
- Users find that **complex query optimization** can be challenging for new users due to required expertise.
- Users find that **required expertise** for complex query optimizations can pose challenges, especially for newcomers.
- Users find that **training is required** for complex query optimizations, posing challenges for new users.

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

**["Best Tool for Collecting Logs and Traces for My AI Data Warehouse"](https://www.g2.com/survey_responses/clickhouse-review-12563218)**

**Rating:** 5.0/5.0 stars

_— Pintraj K._

[Read full review](https://www.g2.com/survey_responses/clickhouse-review-12563218)

**["ClickHouse Delivers Blazing-Fast Performance for Real-Time Analytics"](https://www.g2.com/survey_responses/clickhouse-review-12540827)**

**Rating:** 5.0/5.0 stars

_— Sachin S._

[Read full review](https://www.g2.com/survey_responses/clickhouse-review-12540827)

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

- [Why is ClickHouse faster?](https://www.g2.com/discussions/why-is-clickhouse-faster)
- [Is ClickHouse SQL database?](https://www.g2.com/discussions/is-clickhouse-sql-database)
- [Is ClickHouse a datawarehouse?](https://www.g2.com/discussions/is-clickhouse-a-datawarehouse)
- [What is ClickHouse good for?](https://www.g2.com/discussions/what-is-clickhouse-good-for)

### [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?

- **Data Model:** 8.4/10 (Category avg: 8.7/10)
- **Data Types:** 8.0/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.5/10 (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)

### [MariaDB](https://www.g2.com/products/mariadb/reviews)

MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional or analytical use cases, MariaDB delivers unmatched operational agility without sacrificing key enterprise features including real ACID compliance and full SQL. Trusted by organizations such as Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens – MariaDB meets the same core requirements as proprietary databases at a fraction of the cost. No wonder it’s the fastest growing open source database. Real business relies on MariaDB™.

**Average Rating:** 4.4/5.0

**Total Reviews:** 219

#### How Do G2 Users Rate MariaDB?

- **Data Model:** 8.8/10 (Category avg: 8.7/10)
- **Data Types:** 8.9/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.4/10)
- **Integrated Cache:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MariaDB?

- **Seller:** [MariaDB](https://www.g2.com/sellers/mariadb)
- **Year Founded:** 2014
- **HQ Location:** Espoo, Finland
- **Twitter:** @mariadb  
452,246 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e297f804322576c8bee4fcfe5c4398eef9ae177ac64cbd78a30e7be54024449a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1214250%2F&secure%5Burl_type%5D=linkedin_company_website)  
382 employees on LinkedIn®
- **Ownership:** NYSE: MRDB

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 43% Small, 33% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of MariaDB, finding it straightforward to integrate with various platforms.
- Users value the **easy integrations** with various platforms, enhancing collaboration and workflow efficiency.
- Users commend the **easy backup process** in MariaDB, enhancing data safety and management effortlessly.
- Users appreciate the **superior connectivity** of MariaDB, noting its faster query execution compared to MySQL.
- Users value the **cost efficiency** of MariaDB, appreciating its free, high-performance open-source model.

##### Cons

- Users find MariaDB **beginner unfriendliness** due to its CLI interface, making initial usage challenging but improving over time.
- Users report **connectivity issues** with MariaDB, often facing integration failures without clear identification of the underlying bugs.
- Users find **difficult learning** curve initially challenging due to the CLI nature, though it improves with daily use.
- Users face challenges with **integration failures** , often struggling to identify the underlying bugs causing issues.
- Users note **feature limitations** and initial CLI challenges, but find improvement with daily use.

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

**["Mariadb: The database I can count on"](https://www.g2.com/survey_responses/mariadb-review-11710084)**

**Rating:** 4.0/5.0 stars

_— Ayush S._

[Read full review](https://www.g2.com/survey_responses/mariadb-review-11710084)

**["MariaDB: Reliable database for handling large data"](https://www.g2.com/survey_responses/mariadb-review-12770219)**

**Rating:** 4.5/5.0 stars

_— Suhail C._

[Read full review](https://www.g2.com/survey_responses/mariadb-review-12770219)

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

- [What is MariaDB used for?](https://www.g2.com/discussions/mariadb-what-is-mariadb-used-for) - 1 comment
- [Is MariaDB compatible with MySQL?](https://www.g2.com/discussions/is-mariadb-compatible-with-mysql) - 1 comment
- [What is MariaDB server?](https://www.g2.com/discussions/what-is-mariadb-server) - 1 comment
- [What is difference between MySQL and MariaDB?](https://www.g2.com/discussions/what-is-difference-between-mysql-and-mariadb)
- [What is MariaDB used for?](https://www.g2.com/discussions/what-is-mariadb-used-for) - 1 comment

### [MonetDB](https://www.g2.com/products/monetdb/reviews)

An Open-Source Database System

**Average Rating:** 4.4/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate MonetDB?

- **Data Model:** 8.6/10 (Category avg: 8.7/10)
- **Data Types:** 8.6/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MonetDB?

- **Seller:** [MonetDB](https://www.g2.com/sellers/monetdb)
- **Year Founded:** 2013
- **HQ Location:** Amsterdam, NL
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9d3d11bf92624116fdc5b86ae71807a0411b9aeeaedf1eea14fa97382893b35b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmonetdb-solutions&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 56% Small, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **fast querying** capabilities of MonetDB, which enhances their overall database experience significantly.
- Users appreciate the **fast query processing and features** of MonetDB, making data analysis and adaptation seamless.
- Users highlight the **high speed and efficiency** of MonetDB in query processing and data management tasks.
- Users appreciate the **high-performance** capabilities of MonetDB, noting its speed and efficiency in data processing.
- Users appreciate the **user-friendly interface** of MonetDB, highlighting its fast performance and ease of use.

##### Cons

- Users find the **complex setup** of MonetDB challenging, complicating installation and connection with tools like Python.
- Users experience **connectivity issues** with Python integration, making initial setup and data workflows challenging.
- Users experience **limited customization** options in MonetDB, which restricts flexibility for specific data workflows.
- Users find **limited features** in MonetDB, especially regarding its transactional workloads and backup functionalities.
- Users struggle with the **complex installation and configuration process** due to insufficient documentation for MonetDB.

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

**["MonetDB- A column database"](https://www.g2.com/survey_responses/monetdb-review-10651836)**

**Rating:** 4.0/5.0 stars

_— Sheenu S._

[Read full review](https://www.g2.com/survey_responses/monetdb-review-10651836)

**["Powerful columnar database with lighting fast analytics"](https://www.g2.com/survey_responses/monetdb-review-10908174)**

**Rating:** 4.0/5.0 stars

_— Panchami N._

[Read full review](https://www.g2.com/survey_responses/monetdb-review-10908174)

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

- [What is MonetDB used for?](https://www.g2.com/discussions/what-is-monetdb-used-for)

### [StarTree](https://www.g2.com/products/startree/reviews)

StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.

**Average Rating:** 4.5/5.0

**Total Reviews:** 29

#### How Do G2 Users Rate StarTree?

- **Data Model:** 8.3/10 (Category avg: 8.7/10)
- **Data Types:** 8.1/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind StarTree?

- **Seller:** [StarTree](https://www.g2.com/sellers/startree)
- **Company Website:** www.startree.ai
- **Year Founded:** 2019
- **HQ Location:** Mountain View, California
- **Twitter:** @startreedata  
2,275 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e534c8f5e5f9df114b4965256c16ce258d0fb0785c7f3647229ba8b574a5f6d9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstartreedata%2F&secure%5Burl_type%5D=linkedin_company_website)  
118 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 38% Small, 31% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **exceptional real-time performance** of StarTree, enabling rapid insights from large datasets effortlessly.
- Users appreciate the **real-time analytics capabilities** of StarTree, facilitating quick insights and robust performance at scale.
- Users appreciate the **ease of use** of StarTree, enjoying quick onboarding and an intuitive interface for analytics.
- Users enjoy the **fast querying** capabilities of StarTree, enabling quick data exploration and efficient analytics at scale.
- Users find StarTree's **intuitive interface** simplifies onboarding and enhances everyday analytics tasks for all users.

##### Cons

- Users face a **steep learning curve** with StarTree, making initial setup and configuration challenging for new teams.
- Many users find the **complex setup** of StarTree challenging, especially for those unfamiliar with technical configurations.
- Users find the **difficult setup** process challenging, particularly for new users needing better documentation and support.
- Users find the **insufficient documentation** challenging, complicating setup and understanding of advanced features.
- Users often find **poor documentation** a barrier, making setup and configuration more challenging than necessary.

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

**["Powerful Real-Time Analytics with Intuitive Interface and Seamless Scalability"](https://www.g2.com/survey_responses/startree-review-11958223)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/startree-review-11958223)

**["Blazing-Fast Real-Time Analytics with Intuitive UI"](https://www.g2.com/survey_responses/startree-review-11977802)**

**Rating:** 5.0/5.0 stars

_— Verified User in Graphic Design_

[Read full review](https://www.g2.com/survey_responses/startree-review-11977802)

### [CrateDB](https://www.g2.com/products/cratedb/reviews)

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.

**Average Rating:** 4.4/5.0

**Total Reviews:** 82

#### How Do G2 Users Rate CrateDB?

- **Data Model:** 9.0/10 (Category avg: 8.7/10)
- **Data Types:** 9.2/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.4/10)
- **Integrated Cache:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind CrateDB?

- **Seller:** [CrateDB](https://www.g2.com/sellers/cratedb)
- **Company Website:** cratedb.com
- **Year Founded:** 2013
- **HQ Location:** Redwood City, CA
- **Twitter:** @cratedb  
4,176 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=121f4072f17568c8e57d89de0363476840b4fc79b39ceb272ef7594a38994b21&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcrateio%2F&secure%5Burl_type%5D=linkedin_company_website)  
44 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Data Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 54% Small, 31% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of setup and SQL querying** , which makes CrateDB accessible and efficient for data analysis.
- Users value the **fast SQL queries** in CrateDB, enabling seamless streaming and processing of complex data efficiently.
- Users appreciate the **easy integrations** of CrateDB, facilitating seamless connections with tools for efficient data handling.
- Users value the **flexibility** of CrateDB, appreciating its adaptability to various data types and deployment setups.
- Users praise the **multi-model data support and advanced search capabilities** , finding it versatile and easy to use.

##### Cons

- Users note a **lack of features** in CrateDB, particularly in comparative insights and advanced SQL functions.
- Users find **software limitations** in CrateDB, including a lack of advanced features and support for complex operations.
- Users express concerns about the **limited features** of CrateDB, particularly regarding connectors and analytical capabilities.
- Users find the **poor documentation** of CrateDB lacking, especially regarding custom configurations and integrations.
- Users find **complex configuration** challenges in CrateDB, especially regarding Kubernetes and sharding management.

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

**["Easy Setup, High Performance SQL"](https://www.g2.com/survey_responses/cratedb-review-12043586)**

**Rating:** 4.0/5.0 stars

_— Marcin G._

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12043586)

**["Scalable Real-Time Time-Series SQL That’s Built for Observability"](https://www.g2.com/survey_responses/cratedb-review-12452794)**

**Rating:** 5.0/5.0 stars

_— Cristian M._

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12452794)

### [Hbase](https://www.g2.com/products/hbase/reviews)

A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.

**Average Rating:** 4.2/5.0

**Total Reviews:** 103

#### How Do G2 Users Rate Hbase?

- **Data Model:** 8.1/10 (Category avg: 8.7/10)
- **Data Types:** 7.2/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 8.4/10)
- **Integrated Cache:** 7.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Hbase?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Big Data Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Large, 27% Medium

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

**["Apache Hbase for processing billion of records"](https://www.g2.com/survey_responses/hbase-review-5101200)**

**Rating:** 4.0/5.0 stars

_— GouriS S._

[Read full review](https://www.g2.com/survey_responses/hbase-review-5101200)

**["Fast Search, Fault tolerant and scalable"](https://www.g2.com/survey_responses/hbase-review-4160019)**

**Rating:** 4.5/5.0 stars

_— prateek k._

[Read full review](https://www.g2.com/survey_responses/hbase-review-4160019)

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

- [What do you recommend for organizations considering Hbase for their database management needs?](https://www.g2.com/discussions/what-do-you-recommend-for-organizations-considering-hbase-for-their-database-management-needs)
- [What is Hbase used for?](https://www.g2.com/discussions/what-is-hbase-used-for)

### [Apache Parquet](https://www.g2.com/products/apache-parquet/reviews)

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.

**Average Rating:** 4.3/5.0

**Total Reviews:** 26

#### How Do G2 Users Rate Apache Parquet?

- **Data Model:** 9.0/10 (Category avg: 8.7/10)
- **Data Types:** 8.8/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Apache Parquet?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 48% Medium, 30% Small

#### What Are Recent G2 Reviews of Apache Parquet?

**["Apache Parquet forThe Modern Data Storage Format"](https://www.g2.com/survey_responses/apache-parquet-review-8725706)**

**Rating:** 5.0/5.0 stars

_— Vijay Paul G._

[Read full review](https://www.g2.com/survey_responses/apache-parquet-review-8725706)

**["A Game-Changer for Data Analytics"](https://www.g2.com/survey_responses/apache-parquet-review-8564952)**

**Rating:** 4.0/5.0 stars

_— Jasmine A._

[Read full review](https://www.g2.com/survey_responses/apache-parquet-review-8564952)

### [KX](https://www.g2.com/products/kx-kx/reviews)

We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency. Our technology is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive, and fleet telematics organizations. The primary audience for KX encompasses line-of-business leaders, developers, data scientists, and data engineers who require sophisticated analytics capabilities to create high-performance, data-driven applications. With its unmatched speed and scalability, KX allows users to efficiently process large volumes of data, whether in cloud environments, on-premises, or at the edge. This flexibility ensures that organizations can integrate KX technology into their existing workflows seamlessly, enhancing their analytical capabilities without causing disruptions to ongoing operations. KX distinguishes itself in the analytics landscape through its independently benchmarked performance, recognized as the fastest available on the market. This speed is vital for businesses that depend on real-time data insights to inform their decision-making processes. By enabling users to uncover richer, actionable insights quickly, KX facilitates faster and more informed choices, driving competitive advantage and transformative growth. Its ability to manage complex data sets and deliver insights promptly is particularly advantageous for industries that operate in fast-paced environments, where timely information is critical. Key features of KX include advanced time series and vector data analytics capabilities, which enable efficient management and analysis of extensive data volumes. Furthermore, KX integrates seamlessly with popular analytics tools, enhancing their performance and allowing users to maximize their existing investments. The platform's architecture is designed for high performance, ensuring that organizations can scale their analytics operations as needed without sacrificing speed or efficiency. With a global presence across North America, Europe, and Asia Pacific, KX is trusted by leading organizations to spearhead their data and AI initiatives. By providing a powerful analytics solution, KX not only enhances operational efficiency but also fosters a culture of innovation, empowering businesses to remain competitive in an increasingly data-driven world.

**Average Rating:** 4.6/5.0

**Total Reviews:** 50

#### How Do G2 Users Rate KX?

- **Data Model:** 8.8/10 (Category avg: 8.7/10)
- **Data Types:** 9.5/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.4/10)
- **Integrated Cache:** 9.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind KX?

- **Seller:** [KX](https://www.g2.com/sellers/kx-a145756d-91d3-463e-a51d-9e13b1ac577c)
- **Year Founded:** 1996
- **HQ Location:** NY, USA
- **Twitter:** @kxsystems  
4,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=eef4e5083e8584217de5e815e0456b4102092203ee10366e8b6e38767635c2ca&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkx-systems&secure%5Burl_type%5D=linkedin_company_website)  
492 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services, Banking
- **Company Size:** 57% Large, 25% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **lightning-fast performance** of KX's kx-dashboard, making report creation quick and efficient.
- Users praise the **exceptional performance** of KX, highlighting its speed and efficiency in dashboard creation.
- Users highlight the **powerful and versatile** capabilities of KX products for efficient data processing and problem-solving.
- Users admire the **powerful and versatile tools** of KX, enhancing productivity and problem-solving efficiency.
- Users highlight the **unparalleled real-time data processing** of KX, enabling swift and informed decision-making in dynamic markets.

##### Cons

- Users find the **learning curve steep** , requiring significant time and dedication to master KX effectively.
- Users find the **difficult learning** curve of KX challenging, especially due to a lack of external resources.
- Users find the **learning curve steep** for KX, making initial understanding and coding efficiency challenging.
- Users find KX licenses **expensive** , especially for hobbyists and small organizations, impacting long-term adoption decisions.
- Users face **initial difficulties** with KX due to limited resources and challenges in integration with other applications.

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

**["The best ecosystem for quants and data engineers"](https://www.g2.com/survey_responses/kx-review-10651130)**

**Rating:** 5.0/5.0 stars

_— Alex T._

[Read full review](https://www.g2.com/survey_responses/kx-review-10651130)

**["KX is an incredible company with the best time-series database in the world."](https://www.g2.com/survey_responses/kx-review-11467454)**

**Rating:** 5.0/5.0 stars

_— Kenan D._

[Read full review](https://www.g2.com/survey_responses/kx-review-11467454)

### [Apache Kudu](https://www.g2.com/products/apache-kudu/reviews)

Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem.

**Average Rating:** 4.1/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate Apache Kudu?

- **Data Model:** 8.7/10 (Category avg: 8.7/10)
- **Data Types:** 6.3/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.4/10)
- **Integrated Cache:** 7.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Apache Kudu?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 54% Large, 46% Medium

#### What Are Recent G2 Reviews of Apache Kudu?

**["Tryst With Kudu in Production Deployment for a Telco"](https://www.g2.com/survey_responses/apache-kudu-review-4508537)**

**Rating:** 4.0/5.0 stars

_— Satheesh V._

[Read full review](https://www.g2.com/survey_responses/apache-kudu-review-4508537)

**["A good choice for efficient on-the-fly big data analytics + write random access"](https://www.g2.com/survey_responses/apache-kudu-review-4521621)**

**Rating:** 4.0/5.0 stars

_— Araceli M._

[Read full review](https://www.g2.com/survey_responses/apache-kudu-review-4521621)

### [Druid](https://www.g2.com/products/druid/reviews)

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data.

**Average Rating:** 4.3/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Druid?

- **Data Model:** 8.8/10 (Category avg: 8.7/10)
- **Data Types:** 7.8/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 8.4/10)
- **Integrated Cache:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Druid?

- **Seller:** [Druid](https://www.g2.com/sellers/druid)
- **Year Founded:** 1998
- **HQ Location:** Rio de Janeiro, Rio de Janeiro
- **Twitter:** @druid  
4 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=762de89a15311d70f5702f6fd40889feb830cb992d69ed26d262994ebe2bcd2a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdruid_2%2F&secure%5Burl_type%5D=linkedin_company_website)  
89 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 52% Large, 29% Medium

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

**["Druid, Kafka and your favourite Dashboard"](https://www.g2.com/survey_responses/druid-review-4549014)**

**Rating:** 4.0/5.0 stars

_— Shashank N._

[Read full review](https://www.g2.com/survey_responses/druid-review-4549014)

**["Open-Source distributed OLAP datastore"](https://www.g2.com/survey_responses/druid-review-4798040)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/druid-review-4798040)

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

- [What is Druid used for?](https://www.g2.com/discussions/what-is-druid-used-for)
- [What is Druid's current status in the Apache Software Foundation?](https://www.g2.com/discussions/what-is-druid-s-current-status-in-the-apache-software-foundation)
- [What is Druid cluster?](https://www.g2.com/discussions/what-is-druid-cluster)
- [What is Druid io?](https://www.g2.com/discussions/what-is-druid-io)
- [Is Druid free?](https://www.g2.com/discussions/is-druid-free)

### [Apache ORC](https://www.g2.com/products/apache-orc/reviews)

Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.

**Average Rating:** 4.1/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Apache ORC?

- **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Apache ORC?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 45% Large, 36% Medium

#### What Are Recent G2 Reviews of Apache ORC?

**["Most efficient file format"](https://www.g2.com/survey_responses/apache-orc-review-6856191)**

**Rating:** 4.5/5.0 stars

_— Feenaz A._

[Read full review](https://www.g2.com/survey_responses/apache-orc-review-6856191)

**["Very usefull tiny tool!"](https://www.g2.com/survey_responses/apache-orc-review-6905824)**

**Rating:** 4.0/5.0 stars

_— Bhargava A._

[Read full review](https://www.g2.com/survey_responses/apache-orc-review-6905824)

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[Browse Columnar Databases Themes](/categories/columnar-databases/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated October 3, 2024

Columnar databases store data by columns rather than by rows. The data storage format in these solutions makes them faster and more efficient for instant analytical queries. These databases are used mainly in data warehouses to handle and process massive volumes of data from multiple sources by serving as a basis for business intelligence tools. These databases support document creation, retrieval via query, updating and editing, and deletion of information. Columnar stores, because of their data storage format, help minimize resource usage related to queries on big data sets. Businesses interested in implementing a database for data warehousing and big data processing may opt for a columnar database.

There are other database types similar but slightly different than columnar databases software including [object-oriented databases software](https://www.g2.com/categories/object-oriented-databases), [graph databases](https://www.g2.com/categories/graph-databases), [key-value databases](https://www.g2.com/categories/key-value-databases), and more.

To qualify for inclusion in the Columnar Databases category, a product must:

- Provide data storage
- Store data in columnar format
- Allow users to retrieve data

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