# Best Columnar Databases *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* 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 ## 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) ## How Many Columnar Databases Products Does G2 Track? **Total Products under this Category:** 27 ### Category Stats (Jul 2026) - **Average Rating**: 4.33/5 The average rating of products in this category, based on all submitted ratings *Last updated: July 13, 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. ## Which Columnar Databases Is Best for Your Use Case? - **Leader:** [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - **Highest Performer:** [ClickHouse](https://www.g2.com/products/clickhouse/reviews) - **Easiest to Use:** [Snowflake](https://www.g2.com/products/snowflake/reviews) - **Top Trending:** [Snowflake](https://www.g2.com/products/snowflake/reviews) - **Best Free Software:** [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) --- **Sponsored** ### RaimaDB RaimaDB: The High-Performance Embedded Database for Edge and IoT Systems RaimaDB is a high-performance, small-footprint database designed for edge computing, IoT, and embedded systems. Built on over three decades of database innovation, RaimaDB provides a powerful, reliable, and resource-efficient solution for developers building applications where data integrity, speed, and local storage are critical. Unlike large-scale enterprise databases, RaimaDB is purpose-built for environments with limited memory and processing power—such as industrial controllers, automotive systems, medical devices, and network appliances. Its lightweight architecture allows for fast transactions, deterministic performance, and minimal overhead, making it ideal for real-time applications. RaimaDB supports both SQL and C/C++ APIs, giving developers flexibility in how they access and manage data. It’s fully ACID-compliant, ensuring data reliability even in harsh or disconnected environments. With advanced features like in-memory performance, high availability, and flexible replication, RaimaDB enables secure local data processing while still integrating seamlessly with cloud or enterprise systems when connectivity is restored. The database can be deployed on a wide range of operating systems, including Linux, embedded Linux, Windows, QNX, and VxWorks, and can run on both ARM and x86 architectures. Its modular design allows for efficient scaling—from compact single-board computers to complex distributed networks. Trusted by global leaders in industries such as automotive, aerospace, energy, and telecommunications, RaimaDB powers mission-critical systems that demand reliability and speed. Developers choose RaimaDB for its ease of integration, low maintenance requirements, and proven performance under demanding conditions. Whether you’re building the next generation of connected devices or optimizing data handling at the edge, RaimaDB provides the robust foundation you need. Experience the efficiency of a database built for embedded and real-time systems—fast, reliable, and ready for the future of intelligent data management. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2546&secure%5Bchosen_at%5D=2026-07-13T22%3A55%3A26Z&secure%5Bdisplayable_resource_id%5D=1761&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1761&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=6173&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%3Fopen_modal_url%3D%252Fproducts%252Fdruid%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fcolumnar-databases%2526source%253Dcategory&secure%5Btoken%5D=9a32aab11fca1fdd9994e7b8481041c93276489e852046dbeb7c9366b0c97d0e&secure%5Burl%5D=https%3A%2F%2Fraima.com%2Fdownload-trial%2F%3Futm_content%3Dproducts-raimadb-reviews%26utm_medium%3Dreferral%26utm_source%3Dg2&secure%5Burl_type%5D=free_trial) --- ## What Are the Top-Rated Columnar Databases Products in 2026? ### 1. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. 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:** https://www.linkedin.com/company/1441/ (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% Enterprise, 35% Mid-Market #### What Are Google Cloud BigQuery's Pros and Cons? **Pros:** - Ease of Use (129 reviews) - Speed (126 reviews) - Integrations (110 reviews) - Fast Querying (105 reviews) - Query Efficiency (100 reviews) **Cons:** - Expensive (112 reviews) - Query Issues (65 reviews) - Cost Management (52 reviews) - Cost Issues (51 reviews) - Learning Curve (49 reviews) ### What Do G2 Reviewers Say About Google Cloud BigQuery? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in BigQuery, allowing them to run complex queries effortlessly. - Users highlight the **incredible speed** of Google Cloud BigQuery, making data handling efficient and user-friendly. - Users value the **seamless integrations** of BigQuery with other Google Cloud products, enhancing their analytics capabilities significantly. - Users highlight the **fast querying capabilities** of Google Cloud BigQuery, making data analysis efficient and effortless. - Users appreciate the **query efficiency** of Google Cloud BigQuery, highlighting its effortless processing of complex data. **Cons:** - Users find that the **cost can escalate quickly** with Google Cloud BigQuery if not carefully monitored. - Users struggle with **query issues** in BigQuery, facing challenges in cost management and optimization of queries. - Users find **cost management challenging** due to high fees for poorly optimized queries and small dataset limitations. - Users express concerns over **cost issues** , particularly due to high expenses from poorly optimized queries. - Users find the **learning curve** for advanced features in Google Cloud BigQuery challenging, contributing to billing misunderstandings. #### 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 ### 2. [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:** 707 **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:** https://www.snowflake.com - **Year Founded:** 2012 - **HQ Location:** San Mateo, CA - **Twitter:** @SnowflakeDB (278 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/snowflake-computing/ (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% Mid-Market, 43% Enterprise #### What Are Snowflake's Pros and Cons? **Pros:** - Ease of Use (183 reviews) - Features (118 reviews) - Data Management (108 reviews) - Scalability (99 reviews) - Performance (90 reviews) **Cons:** - Expensive (91 reviews) - Feature Limitations (54 reviews) - Learning Curve (45 reviews) - Cost (44 reviews) - Cost Management (44 reviews) ### What Do G2 Reviewers Say About Snowflake? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in Snowflake, appreciating its user-friendly interface and simplified data analysis capabilities. - Users appreciate Snowflake's **reliable features and user-friendly interface** , enhancing their data analytics experience significantly. - Users value the **ease of use and seamless integration** of Snowflake for efficient data management and warehousing projects. - Users praise Snowflake's **superior scalability** , allowing effortless adjustment to workload changes while maintaining high performance. - Users praise Snowflake for its **fast performance** , enabling quick data analysis and effortless operational management. **Cons:** - Users highlight the **high costs** of Snowflake, especially if warehouses and queries are not effectively managed. - Users find **feature limitations** in Snowflake, wishing for improved query performance and better coding workflows. - Users find the **learning curve steep** , requiring additional training for team members to navigate the interface effectively. - Users highlight the **high cost** of Snowflake, particularly if warehouses are not managed efficiently or queries are unoptimized. - Users find the **cost management** complex and initially higher than anticipated during implementation of Snowflake. #### What Are Recent G2 Reviews of Snowflake? **"[Easy, Efficient Data Extraction with Clear Database Insights](https://www.g2.com/survey_responses/snowflake-review-12884116)"** **Rating:** 4.5/5.0 stars *— Pankaj K.* [Read full review](https://www.g2.com/survey_responses/snowflake-review-12884116) --- **"[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 ### 3. [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:** 370 **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:** https://www.linkedin.com/company/amazon-web-services/ (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% Enterprise, 39% Mid-Market #### What Are Amazon Redshift's Pros and Cons? **Pros:** - Fast Querying (5 reviews) - Integrations (5 reviews) - Ease of Use (4 reviews) - Easy Integrations (4 reviews) - Performance (4 reviews) **Cons:** - Feature Limitations (4 reviews) - Software Limitations (4 reviews) - Complexity (3 reviews) - Query Issues (3 reviews) - Query Optimization (3 reviews) ### What Do G2 Reviewers Say About Amazon Redshift? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **fast querying** capabilities of Amazon Redshift, finding it efficient for handling large datasets seamlessly. - Users highlight the **seamless integration** of Amazon Redshift with other software, enhancing data management and query performance. - Users love the **ease of use** with Amazon Redshift, appreciating its user-friendly interface and efficient data management. - Users appreciate the **easy integrations** of Amazon Redshift, enhancing their ability to build comprehensive data solutions. - Users highlight the **impressive speed and scalability** of Amazon Redshift, making data handling efficient and flexible. **Cons:** - Users find **feature limitations** in Amazon Redshift, noting its lack of advanced analytics and cross-language support. - Users find **software limitations** in Redshift, particularly regarding performance degradation and support for unstructured data. - Users face **significant complexity** in managing Redshift, requiring substantial effort for optimization and maintenance. - Users face **query issues** with Amazon Redshift, as performance tuning and concurrency management can be challenging. - Users find **query optimization cumbersome** in Redshift, requiring significant time and effort for effective performance tuning. #### 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 ### 4. [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:** https://www.linkedin.com/company/clickhouseinc/ (577 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Small-Business, 39% Mid-Market #### What Are ClickHouse's Pros and Cons? **Pros:** - Easy Integrations (2 reviews) - Integrations (2 reviews) - Query Efficiency (2 reviews) - Query Speed (2 reviews) - Speed (2 reviews) **Cons:** - Beginner Unfriendliness (1 reviews) - Complex Usage (1 reviews) - Query Optimization (1 reviews) - Required Expertise (1 reviews) - Training Required (1 reviews) ### What Do G2 Reviewers Say About ClickHouse? *AI-generated summary from verified user reviews* **Pros:** - Users value the **easy integrations** of ClickHouse, allowing seamless connections with tools like Grafana and dbt. - Users appreciate the **seamless integrations** of ClickHouse with various tools, enhancing their analytical and operational capabilities. - Users praise ClickHouse for its **exceptional query efficiency** , enabling rapid analytics on extensive datasets effortlessly. - Users highlight the **exceptional query speed** of ClickHouse, enabling rapid analytics on large datasets effortlessly. - Users praise ClickHouse for its **exceptional speed** in querying large datasets, enhancing analytics efficiency dramatically. **Cons:** - Users find **beginner unfriendliness** in ClickHouse due to the complex query optimizations needing advanced knowledge. - Users find **complex usage** challenging, particularly with query optimizations needing advanced expertise that newcomers may not have. - Users find that **complex query optimizations** demand expertise, posing challenges for new users learning the system. - Users find that **complex query optimizations require deeper expertise** , posing challenges for newcomers to ClickHouse. - Users find that **training is required** for complex query optimizations, posing challenges for newcomers to ClickHouse. #### 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) ### 5. [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:** https://www.linkedin.com/company/10127/ (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% Enterprise, 39% Mid-Market #### 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) ### 6. [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:** https://www.linkedin.com/company/1214250/ (375 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-Business, 33% Mid-Market #### What Are MariaDB's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Easy Integrations (2 reviews) - Backup Services (1 reviews) - Connectivity (1 reviews) - Cost Efficiency (1 reviews) **Cons:** - Beginner Unfriendliness (1 reviews) - Connectivity Issues (1 reviews) - Difficult Learning (1 reviews) - Error Handling (1 reviews) - Feature Limitations (1 reviews) ### 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 and perform daily tasks. - Users value the **easy integrations** of MariaDB, making it seamless to connect with various platforms and servers. - Users value the **easy backup services** in MariaDB, enhancing data protection and management efficiency. - Users enjoy the **high connectivity speed** of MariaDB, finding it significantly faster than MySQL for queries. - Users value the **cost efficiency** of MariaDB, benefiting from powerful features without incurring high expenses. **Cons:** - Users find the **beginner unfriendliness** of MariaDB challenging initially, but it improves with daily usage. - Users experience frequent **connectivity issues** with MariaDB, leading to frustrating failed integrations and unidentified bugs. - Users find the **difficult learning curve** of MariaDB challenging initially, although it improves with regular use. - Users experience **integrations failing** without clear bug identification, leading to frustration and inefficiencies. - Users experience **feature limitations** initially, particularly with CLI, but find it improves 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 ### 7. [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:** https://www.linkedin.com/company/monetdb-solutions (8 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 56% Small-Business, 38% Mid-Market #### What Are MonetDB's Pros and Cons? **Pros:** - Fast Querying (8 reviews) - Features (5 reviews) - Speed (5 reviews) - Performance (4 reviews) - Usability (3 reviews) **Cons:** - Complex Setup (3 reviews) - Connectivity Issues (2 reviews) - Limited Customization (1 reviews) - Limited Features (1 reviews) - Poor Documentation (1 reviews) ### What Do G2 Reviewers Say About MonetDB? *AI-generated summary from verified user reviews* **Pros:** - Users value the **fast querying** capabilities of MonetDB, appreciating its high performance and efficiency in data handling. - Users appreciate the **fast performance and ease of use** of MonetDB, benefiting from its columnar design and SQL support. - Users appreciate the **enhanced speed** and efficient query processing of MonetDB, significantly improving data management tasks. - Users commend the **high performance** of MonetDB, appreciating its fast data processing and ease of use. - Users enjoy the **user-friendly experience** of MonetDB, benefiting from its speed and efficient data handling. **Cons:** - Users find the **complex setup** of MonetDB challenging, especially when integrating with other tools like Python. - Users experience **connectivity issues** with MonetDB, particularly when integrating with Python for data science tasks. - Users note the **limited customization** options in MonetDB, affecting integration and flexibility in their workflows. - Users note that MonetDB has **limited features** , making it less suitable for transactional workloads and complex setups. - Users face a **complex installation and configuration process** due to the inadequate documentation of 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) ### 8. [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:** https://www.startree.ai/ - **Year Founded:** 2019 - **HQ Location:** Mountain View, California - **Twitter:** @startreedata (2,275 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/startreedata/ (118 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Financial Services - **Company Size:** 38% Small-Business, 31% Enterprise #### What Are StarTree's Pros and Cons? **Pros:** - Performance (4 reviews) - Analytics (3 reviews) - Ease of Use (3 reviews) - Fast Querying (3 reviews) - Interface Ease-of-Use (3 reviews) **Cons:** - Learning Curve (3 reviews) - Complex Setup (2 reviews) - Difficult Setup (2 reviews) - Insufficient Documentation (2 reviews) - Poor Documentation (2 reviews) ### What Do G2 Reviewers Say About StarTree? *AI-generated summary from verified user reviews* **Pros:** - Users value the **real-time analytics performance** of StarTree, appreciating its speed and efficiency for large datasets. - Users value the **fast, real-time analytics** of StarTree, praising its efficiency and intuitive user interface. - Users find StarTree's **ease of use** exceptional, thanks to its intuitive UI and quick data onboarding capabilities. - Users enjoy the **fast querying** capabilities of StarTree, enabling efficient real-time analytics on large datasets. - Users appreciate the **intuitive interface** of StarTree, making real-time analytics accessible and efficient for all users. **Cons:** - Users note a **steep learning curve** with StarTree, especially for teams new to real-time OLAP systems and configuration. - Users find the **complex setup** process challenging, especially regarding documentation and integration for new configurations. - Users find the **difficult setup** challenging, especially with complex configurations and unclear documentation for newcomers. - Users find the **insufficient documentation** challenging, especially for complex configurations and integration scenarios. - Users find **poor documentation** a barrier, making setup and configuration challenging, especially for newcomers. #### 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) --- ### 9. [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:** https://cratedb.com/ - **Year Founded:** 2013 - **HQ Location:** Redwood City, CA - **Twitter:** @cratedb (4,176 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/crateio/ (44 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 54% Small-Business, 31% Mid-Market #### What Are CrateDB's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - SQL Usage (11 reviews) - Easy Integrations (10 reviews) - Flexibility (10 reviews) - Features (9 reviews) **Cons:** - Lack of Features (5 reviews) - Software Limitations (4 reviews) - Limited Features (3 reviews) - Poor Documentation (3 reviews) - Complex Configuration (2 reviews) ### What Do G2 Reviewers Say About CrateDB? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of setup** and familiar SQL querying, enhancing their database management experience with CrateDB. - Users appreciate the **fast SQL querying** capabilities of CrateDB, enhancing performance for large datasets and data streams. - Users appreciate the **easy integrations** of CrateDB, streamlining the process of connecting tools in production environments. - Users value the **flexibility** of CrateDB, enabling adaptation to diverse data needs and deployment scenarios. - Users value the **multi-model data support** of CrateDB, enabling versatile data storage and powerful search capabilities. **Cons:** - Users note a **lack of features** , particularly in comparative tools and advanced SQL functions, limiting CrateDB's usability. - Users express concerns about **software limitations** , including a restricted ecosystem and lack of advanced SQL features. - Users note the **limited features** of CrateDB, particularly in connectors and advanced analytical capabilities. - Users find the **documentation lacking** , especially regarding custom configurations and integrations in CrateDB. - Users experience **complex configuration** challenges with CrateDB, particularly regarding Kubernetes and database sharding control. #### 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) --- ### 10. [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:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Big Data Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 52% Enterprise, 27% Mid-Market #### 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) ### 11. [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:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 48% Mid-Market, 30% Small-Business #### 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) --- ### 12. [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:** https://www.linkedin.com/company/kx-systems (492 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Banking - **Company Size:** 57% Enterprise, 25% Small-Business #### What Are KX's Pros and Cons? **Pros:** - Speed (6 reviews) - Performance (5 reviews) - Tool Power (5 reviews) - Powerful Tools (4 reviews) - Analytics (3 reviews) **Cons:** - Learning Curve (7 reviews) - Difficult Learning (3 reviews) - Steep Learning Curve (3 reviews) - Expensive (2 reviews) - Initial Difficulties (2 reviews) ### What Do G2 Reviewers Say About KX? *AI-generated summary from verified user reviews* **Pros:** - Users love the **fast performance** of KX's dashboard, enabling quick and efficient report creation and data manipulation. - Users commend KX for its **powerful performance** and efficiency in creating dashboards and processing data seamlessly. - Users value the **powerful and versatile capabilities** of KX products, enhancing efficiency in problem-solving and data handling. - Users praise the **powerful and versatile tools** of KX, noting exceptional support and continuous improvement in the platform. - Users value the **real-time analytics capabilities** of KX, enabling swift data-driven decisions in dynamic environments. **Cons:** - Users note a **high learning curve** for KX, requiring significant dedication and time despite helpful training resources. - Users find the **difficult learning** curve of KX challenging initially, but mastery leads to greater tool efficiency. - Users face a **steep learning curve** with KX, as resources are limited and mastering it takes time. - Users find the **license fees expensive** , especially for occasional hobby use and small organizations seeking affordability. - Users find the **initial difficulties** of learning KX products challenging due to limited resources and integration issues. #### 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) --- ### 13. [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:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 54% Enterprise, 46% Mid-Market #### 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) --- ### 14. [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:** https://www.linkedin.com/company/druid_2/ (89 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 52% Enterprise, 29% Mid-Market #### 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) ### 15. [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:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 45% Enterprise, 36% Mid-Market #### 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) --- ### 16. [Azure Table Storage](https://www.g2.com/products/azure-table-storage/reviews) Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud. **Average Rating:** 4.1/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Azure Table Storage?** - **Data Model:** 9.4/10 (Category avg: 8.7/10) - **Data Types:** 9.4/10 (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:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Azure Table Storage?** - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,091,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®) - **Ownership:** MSFT **Who Uses This Product?** - **Company Size:** 59% Small-Business, 29% Enterprise #### What Are Azure Table Storage's Pros and Cons? **Pros:** - Data Storage (3 reviews) - Cost Efficiency (2 reviews) - Efficiency (1 reviews) - Features (1 reviews) - Integrations (1 reviews) **Cons:** - Scalability Issues (1 reviews) - SQL Limitations (1 reviews) ### What Do G2 Reviewers Say About Azure Table Storage? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **cost-effective data storage** of Azure Table Storage, enjoying its efficient handling of large datasets. - Users value the **cost efficiency** of Azure Table Storage, making it ideal for managing large non-relational datasets. - Users value the **efficiency** of Azure Table Storage, finding it ideal for handling large amounts of non-relational data. - Users find Azure Table Storage an **amazing tool for resource management** , seamlessly integrating with other Microsoft services. - Users love the **seamless integrations** of Azure Table Storage with other Microsoft services for efficient resource management. **Cons:** - Users face **scalability issues** due to the limitations in querying and relational data handling in Azure Table Storage. - Users find the **limited query support** of Azure Table Storage unsuitable for complex relational data management needs. #### What Are Recent G2 Reviews of Azure Table Storage? **"[Excellent Cloud Table Storage Platform- Azure](https://www.g2.com/survey_responses/azure-table-storage-review-10668302)"** **Rating:** 4.5/5.0 stars *— PRAKHAR P.* [Read full review](https://www.g2.com/survey_responses/azure-table-storage-review-10668302) --- **"[Great Cloud Storage Space](https://www.g2.com/survey_responses/azure-table-storage-review-10684549)"** **Rating:** 5.0/5.0 stars *— Shivangi P.* [Read full review](https://www.g2.com/survey_responses/azure-table-storage-review-10684549) --- #### What Are G2 Users Discussing About Azure Table Storage? - [What are three types of storage available in Azure storage?](https://www.g2.com/discussions/azure-table-storage-what-are-three-types-of-storage-available-in-azure-storage) - [What are the elements of an Azure Table storage key?](https://www.g2.com/discussions/what-are-the-elements-of-an-azure-table-storage-key) - [What are the 3 system properties of Azure tables?](https://www.g2.com/discussions/what-are-the-3-system-properties-of-azure-tables) - [What is Azure Table storage good for?](https://www.g2.com/discussions/what-is-azure-table-storage-good-for) ### 17. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach. **Average Rating:** 4.2/5.0 **Total Reviews:** 59 **How Do G2 Users Rate Azure Cosmos DB?** - **Data Model:** 6.7/10 (Category avg: 8.7/10) - **Data Types:** 6.7/10 (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:** 5.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Azure Cosmos DB?** - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,091,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®) - **Ownership:** MSFT **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Enterprise, 28% Mid-Market #### What Are Azure Cosmos DB's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Features (3 reviews) - Integrations (3 reviews) - Scalability (3 reviews) - Customization (2 reviews) **Cons:** - Expensive (3 reviews) - Cost Issues (2 reviews) - Complexity Issues (1 reviews) - Complex Usage (1 reviews) - Cost Increase (1 reviews) ### What Do G2 Reviewers Say About Azure Cosmos DB? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Azure Cosmos DB, benefiting from its intuitive interface and configuration simplicity. - Users value the **speed and flexibility** of Azure Cosmos DB, enjoying its extensive features and ease of use. - Users praise the **seamless integration** capabilities of Azure Cosmos DB with Microsoft services and various APIs. - Users value the **instant scalability** of Azure Cosmos DB, appreciating its ease of use and integration capabilities. - Users value the **customization options** of Azure Cosmos DB, allowing tailored solutions for diverse use cases. **Cons:** - Users find the **high cost** of Azure Cosmos DB to be a significant drawback, especially with unoptimized storage. - Users express concerns about the **high costs** associated with Azure Cosmos DB, particularly if storage isn't optimized. - Users find the **complexity issues** of Azure Cosmos DB challenging, particularly regarding its cost structure and limitations. - Users find the **complex usage** of Azure Cosmos DB challenging, requiring significant learning for effective application. - Users report that costs can **increase significantly** if storage is not optimized and partitioned properly in Azure Cosmos DB. #### What Are Recent G2 Reviews of Azure Cosmos DB? **"[Best Database for any team](https://www.g2.com/survey_responses/azure-cosmos-db-review-10736939)"** **Rating:** 5.0/5.0 stars *— Aman V.* [Read full review](https://www.g2.com/survey_responses/azure-cosmos-db-review-10736939) --- **"[Azure- A great cloud platform](https://www.g2.com/survey_responses/azure-cosmos-db-review-10672079)"** **Rating:** 5.0/5.0 stars *— Harish K.* [Read full review](https://www.g2.com/survey_responses/azure-cosmos-db-review-10672079) --- #### What Are G2 Users Discussing About Azure Cosmos DB? - [What needs improvement with Azure Cosmos DB to better meet your database requirements?](https://www.g2.com/discussions/what-needs-improvement-with-azure-cosmos-db-to-better-meet-your-database-requirements) - [What is Azure Cosmos DB used for?](https://www.g2.com/discussions/azure-cosmos-db-what-is-azure-cosmos-db-used-for) - [Is Cosmos a DB SaaS?](https://www.g2.com/discussions/is-cosmos-a-db-saas) - [What type of database is cosmos?](https://www.g2.com/discussions/what-type-of-database-is-cosmos) - [Is Azure Cosmos DB PaaS?](https://www.g2.com/discussions/is-azure-cosmos-db-paas) ### 18. [Google Cloud BigTable](https://www.g2.com/products/google-cloud-bigtable/reviews) Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis. **Average Rating:** 4.4/5.0 **Total Reviews:** 37 **How Do G2 Users Rate Google Cloud BigTable?** - **Data Model:** 9.2/10 (Category avg: 8.7/10) - **Data Types:** 10.0/10 (Category avg: 8.5/10) - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.4/10) - **Integrated Cache:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Google Cloud BigTable?** - **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:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Company Size:** 41% Mid-Market, 32% Enterprise #### What Are Google Cloud BigTable's Pros and Cons? **Pros:** - Cloud Storage (8 reviews) - Ease of Use (4 reviews) - Integrations (4 reviews) - Application Development (3 reviews) - Data Analytics (3 reviews) **Cons:** - Cost Issues (5 reviews) - Expensive (4 reviews) - Billing Issues (2 reviews) - Complexity (2 reviews) - Learning Difficulty (2 reviews) ### What Do G2 Reviewers Say About Google Cloud BigTable? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of data backup** with Google Cloud BigTable, enjoying smooth recovery and high-speed performance. - Users find Google Cloud BigTable to be **easy to use and implement** , enhancing their overall experience with seamless integration. - Users love the **seamless integrations** with Google Workspace and BigQuery, enhancing efficiency and collaboration significantly. - Users value the **seamless integration** of Google Cloud BigTable in application development, enhancing their projects with various services. - Users appreciate the **data analytics capabilities** of Google Cloud BigTable, enhancing their machine learning and AI projects. **Cons:** - Users find the **cost issues** with Google Cloud BigTable to be high and unpredictable, impacting overall satisfaction. - Users find Google Cloud BigTable to be **expensive** , especially for multi-cluster routing and overall pricing unpredictability. - Users are frustrated with **billing issues** in Google Cloud BigTable, citing unpredictable costs and high pricing for features. - Users find the **complexity** of Google Cloud BigTable overwhelming, particularly regarding its pricing and user-friendliness for developers. - Users find Google Cloud BigTable **complex and difficult to learn** , requiring prior knowledge and limiting accessibility for beginners. #### What Are Recent G2 Reviews of Google Cloud BigTable? **"[My Go-To for Easy Big Data Analysis](https://www.g2.com/survey_responses/google-cloud-bigtable-review-11087881)"** **Rating:** 4.5/5.0 stars *— DilLip Chowdary R.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigtable-review-11087881) --- **"[BigTable - The Best NoSQL database](https://www.g2.com/survey_responses/google-cloud-bigtable-review-10677378)"** **Rating:** 5.0/5.0 stars *— Sanyam G.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigtable-review-10677378) --- #### What Are G2 Users Discussing About Google Cloud BigTable? - [What is Google Cloud BigTable used for?](https://www.g2.com/discussions/what-is-google-cloud-bigtable-used-for) - 1 comment, 1 upvote ### 19. [Tembo](https://www.g2.com/products/tembo/reviews) Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience. **Average Rating:** 4.7/5.0 **Total Reviews:** 26 **How Do G2 Users Rate Tembo?** - **Data Model:** 8.9/10 (Category avg: 8.7/10) - **Data Types:** 9.4/10 (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:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Tembo?** - **Seller:** [Tembo](https://www.g2.com/sellers/tembo) - **Year Founded:** 2022 - **HQ Location:** Cincinnati, US - **Twitter:** @tembo_io (3 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/tembo-inc/ (31 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 85% Small-Business, 15% Mid-Market #### What Are Tembo's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Features (12 reviews) - Integrations (10 reviews) - Ease of Setup (8 reviews) - Easy Integrations (8 reviews) **Cons:** - Limited Flexibility (5 reviews) - AWS Dependency (4 reviews) - Cloud Limitations (4 reviews) - Expensive (4 reviews) - Limited Customization (4 reviews) ### What Do G2 Reviewers Say About Tembo? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of Tembo.io, enjoying its simple setup and intuitive dashboard for organization. - Users appreciate the **user-friendly interface and collaboration features** of Tembo, making task management effortless and organized. - Users appreciate the **easy integration capabilities** of Tembo, enabling seamless connection with various data sources. - Users appreciate the **ease of setup** with Tembo, finding it user-friendly and quick to deploy. - Users love the **easy integrations** of Tembo, providing quick deployment and hassle-free data management solutions. **Cons:** - Users find limited **flexibility** in Tembo, often wishing for broader integration and customization options. - Users find the **restriction to AWS** a significant downside, hoping for broader cloud service integrations. - Users highlight the **limited cloud integration** with Tembo, as it only supports AWS and hinders flexibility. - Users find Tembo to be **expensive** , especially small businesses facing uncertain monthly costs and limited customizability. - Users find the **limited customization** options frustrating, affecting flexibility and overall satisfaction with Tembo. #### What Are Recent G2 Reviews of Tembo? **"[Tembo - good solution for database hosting & management](https://www.g2.com/survey_responses/tembo-review-10807698)"** **Rating:** 4.0/5.0 stars *— Dana Y.* [Read full review](https://www.g2.com/survey_responses/tembo-review-10807698) --- **"[DB Management but simplified](https://www.g2.com/survey_responses/tembo-review-10798093)"** **Rating:** 4.5/5.0 stars *— Srivishnu S.* [Read full review](https://www.g2.com/survey_responses/tembo-review-10798093) --- ### 20. [Tinybird](https://www.g2.com/products/tinybird/reviews) Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Tinybird makes integrating the open source ClickHouse database into applications simpler, faster, and more reliable, allowing engineers to focus on feature development rather than infrastructure management. Tinybird eliminates the complexities associated with traditional database management, making it an ideal choice for teams looking to leverage the power of ClickHouse without the overhead of server maintenance and scaling concerns. The target audience for Tinybird includes software developers, data engineers, technical founders, and AI-native product teams building real-time analytics capabilities in their applications. With the increasing demand for real-time data processing, Tinybird caters to teams that need to deliver insights quickly and efficiently. Use cases for Tinybird span various industries, including SaaS, e-commerce, finance, crypto, AI, and IoT, where real-time data analysis is crucial for decision-making and operational efficiency. By providing a managed service, Tinybird allows software engineers to deploy analytics features in days rather than months, significantly accelerating project timelines. Key features of Tinybird include a hosted ClickHouse database plus managed data ingestion and API layers, which simplify the process of integrating analytics into applications. The built-in authentication tools enhance security and data privacy, with support for row-level access policies using JWTs. Free observability logs storage and querying allow users to keep tabs on usage and performance. AI-native features, including Tinybird Code - a CLI agent with deep ClickHouse expertise - plus the Tinybird MCP Server, make integrating analytics features into LLM apps simpler and more robust. Additionally, Tinybird's architecture is designed to handle scaling automatically, allowing teams to focus on their core development tasks without worrying about understanding a new database or worrying about infrastructure details. For those who desire infrastructure control, Tinybird offers self-managed deployment, for free. This unique combination of features enables users to ship data-driven features rapidly while maintaining high performance and reliability. Tinybird stands out in the real-time analytics database landscape by providing the performance of one of the world's fastest OLAP databases without the associated complexity. By abstracting the technical challenges of managing clusters and provisioning resources, Tinybird empowers teams to innovate and iterate on their products more quickly. The service's emphasis on ease of use and rapid deployment makes it an attractive option for organizations looking to harness the power of real-time analytics without the burden of extensive operational overhead. With Tinybird, users can unlock the potential of their data and drive impactful insights, all while enjoying a seamless and efficient development experience. **Average Rating:** 4.1/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Tinybird?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.4/10) **Who Is the Company Behind Tinybird?** - **Seller:** [Tinybird](https://www.g2.com/sellers/tinybird) - **Company Website:** https://tinybird.co - **Year Founded:** 2019 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/35704741 (50 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 50% Mid-Market, 36% Small-Business #### What Are Tinybird's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Analytics (4 reviews) - Easy Integrations (4 reviews) - Features (4 reviews) - Integrations (4 reviews) **Cons:** - Poor Customer Support (3 reviews) - Lack of Features (2 reviews) - Learning Curve (2 reviews) - Learning Difficulty (2 reviews) - Limited Customization (2 reviews) ### What Do G2 Reviewers Say About Tinybird? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Tinybird, enabling seamless integration and rapid development of analytics solutions. - Users value the **easy integration and powerful real-time analytics** capabilities of Tinybird, enhancing their data-driven decisions. - Users value the **easy integrations** with various apps, enhancing their ability to build real-time dashboards effortlessly. - Users highlight the **effortless integration and real-time capabilities** of Tinybird, making analytics development seamless and efficient. - Users appreciate the **easy integrations** with apps like Confluent Cloud for developing real-time dashboards and APIs. **Cons:** - Users experience **poor customer support** , with slow response times and insufficient documentation hindering effective use of Tinybird. - Users note a **lack of features** that limits integrations and customization, affecting scalability and ease of use. - Users face a challenging **learning curve** with Tinybird, finding navigation and feature utilization difficult for newcomers. - Users experience **learning difficulties** due to limited documentation and a complex interface, hindering their ability to adapt. - Users note the **limited customization** options in Tinybird, making it challenging to adapt to specific business requirements. #### What Are Recent G2 Reviews of Tinybird? **"[Best tool for building dashboards and develop low latency APIs](https://www.g2.com/survey_responses/tinybird-review-9121969)"** **Rating:** 4.0/5.0 stars *— Maxwel S.* [Read full review](https://www.g2.com/survey_responses/tinybird-review-9121969) --- **"[Building real-time analytics made simple with Tinybird](https://www.g2.com/survey_responses/tinybird-review-9122091)"** **Rating:** 4.5/5.0 stars *— Bhavya J.* [Read full review](https://www.g2.com/survey_responses/tinybird-review-9122091) --- #### What Are G2 Users Discussing About Tinybird? - [What is Tinybird used for?](https://www.g2.com/discussions/what-is-tinybird-used-for) ### 21. [CelerData Cloud](https://www.g2.com/products/celerdata-cloud/reviews) CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof architecture—ensuring real-time access to open data without ingestion delays or costly data pipelines. Powered by StarRocks, CelerData delivers 3X the performance/cost of any other solution on the market and is the only platform uniquely designed to enable users to simplify their lakehouse architecture and ditch the need for a data warehouse. CelerData is used worldwide by market-leading brands including Coinbase, Pinterest, Demandbase, and Expedia to generate critical new insights for these data-driven companies. **Average Rating:** 4.8/5.0 **Total Reviews:** 3 **How Do G2 Users Rate CelerData Cloud?** - **Data Model:** 8.3/10 (Category avg: 8.7/10) - **Data Types:** 8.3/10 (Category avg: 8.5/10) - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.4/10) **Who Is the Company Behind CelerData Cloud?** - **Seller:** [CelerData](https://www.g2.com/sellers/celerdata) - **Year Founded:** 2022 - **HQ Location:** Menlo Park, US - **LinkedIn® Page:** https://www.linkedin.com/company/starrocks (65 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Enterprise #### What Are CelerData Cloud's Pros and Cons? **Pros:** - Customer Support (3 reviews) - Fast Querying (3 reviews) - Performance (3 reviews) - Fast Communication (2 reviews) - Fast Processing (2 reviews) ### What Do G2 Reviewers Say About CelerData Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users value the **excellent customer support** from CelerData, enhancing their overall experience and confidence in the product. - Users value the **incredibly fast query performance** of CelerData Cloud, enhancing their data strategy significantly. - Users value the **incredibly fast query performance** of CelerData Cloud, backed by excellent support for data strategy transformation. - Users value the **fast communication** from CelerData Cloud, enhancing their data management experience with swift support. - Users value the **incredibly fast query performance** of CelerData Cloud, enhancing their data strategy confidently and effectively. #### What Are Recent G2 Reviews of CelerData Cloud? **"[Transforming Big Data with StarRocks](https://www.g2.com/survey_responses/celerdata-cloud-review-11609872)"** **Rating:** 5.0/5.0 stars *— Emre K.* [Read full review](https://www.g2.com/survey_responses/celerdata-cloud-review-11609872) --- **"[A powerful SQL engine for your most demanding workloads](https://www.g2.com/survey_responses/celerdata-cloud-review-11630143)"** **Rating:** 4.5/5.0 stars *— Ye Z.* [Read full review](https://www.g2.com/survey_responses/celerdata-cloud-review-11630143) --- ### 22. [Hypertable](https://www.g2.com/products/hypertable/reviews) Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Hypertable?** - **Data Model:** 8.3/10 (Category avg: 8.7/10) - **Data Types:** 10.0/10 (Category avg: 8.5/10) - **Integrated Cache:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Hypertable?** - **Seller:** [Hypertable](https://www.g2.com/sellers/hypertable) - **Year Founded:** 2009 - **HQ Location:** Burlingame, US - **LinkedIn® Page:** https://www.linkedin.com/company/hypertable-inc. (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Hypertable's Pros and Cons? **Pros:** - Analytics (1 reviews) - Large Datasets (1 reviews) - Scalability (1 reviews) **Cons:** - Complexity (1 reviews) - Security Issues (1 reviews) ### What Do G2 Reviewers Say About Hypertable? *AI-generated summary from verified user reviews* **Pros:** - Users value the **powerful analytics functionality** of Hypertable for efficiently handling large datasets and diverse data types. - Users value the **scalability for large datasets** in Hypertable, which simplifies data analysis and management. - Users value the **scalability** of Hypertable, finding it efficient for analyzing large datasets easily. **Cons:** - Users find the **complexity of initial setup** and security features challenging, impacting their overall experience. - Users find **security issues** with Hypertable concerning, impacting trust and data protection within the platform. #### What Are Recent G2 Reviews of Hypertable? **"[Hypertable use in work simplified my life](https://www.g2.com/survey_responses/hypertable-review-11318285)"** **Rating:** 4.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/hypertable-review-11318285) --- ### 23. [Kinetica](https://www.g2.com/products/kinetica/reviews) Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joins - analyze data using SQL based analytics for spatial, graph, and time-series analytics or running containerized ML models **Average Rating:** 4.3/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Kinetica?** - **Data Model:** 10.0/10 (Category avg: 8.7/10) - **Data Types:** 10.0/10 (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:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Kinetica?** - **Seller:** [Kinetica](https://www.g2.com/sellers/kinetica) - **Year Founded:** 2016 - **HQ Location:** Arlington, Virginia, United States - **Twitter:** @KineticaHQ (3,461 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kinetica/ (71 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Kinetica? **"[Beneficial especially for our wind farm activities](https://www.g2.com/survey_responses/kinetica-review-9862948)"** **Rating:** 4.5/5.0 stars *— Leslie C.* [Read full review](https://www.g2.com/survey_responses/kinetica-review-9862948) --- **"[Efficient Data analytics](https://www.g2.com/survey_responses/kinetica-review-9855352)"** **Rating:** 4.0/5.0 stars *— Surya K.* [Read full review](https://www.g2.com/survey_responses/kinetica-review-9855352) --- #### What Are G2 Users Discussing About Kinetica? - [When was Kinetica founded?](https://www.g2.com/discussions/when-was-kinetica-founded) - [How many employees does Kinetica have?](https://www.g2.com/discussions/how-many-employees-does-kinetica-have) - [Is Kinetica open source?](https://www.g2.com/discussions/is-kinetica-open-source) - [What does Kinetica do?](https://www.g2.com/discussions/what-does-kinetica-do) - 1 comment ### 24. [Tiger Data](https://www.g2.com/products/tiger-data/reviews) Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm\_source=g2&utm\_medium=referral&utm\_campaign=free-trial-g2 **Average Rating:** 4.6/5.0 **Total Reviews:** 33 **How Do G2 Users Rate Tiger Data?** - **Data Model:** 7.2/10 (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?:** 9.3/10 (Category avg: 8.4/10) - **Integrated Cache:** 7.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Tiger Data?** - **Seller:** [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb) - **Company Website:** https://www.tigerdata.com/ - **Year Founded:** 2015 - **HQ Location:** New York, New York - **Twitter:** @TigerDatabase (1,343 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/timescaledb/ (40 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Financial Services - **Company Size:** 79% Small-Business, 18% Mid-Market #### What Are Tiger Data's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - Easy Setup (5 reviews) - Setup Ease (5 reviews) - Analytics (4 reviews) - Performance (4 reviews) **Cons:** - Expensive (4 reviews) - Expensive Licensing (3 reviews) - Missing Features (3 reviews) - Poor UI (3 reviews) - Slow Performance (3 reviews) ### What Do G2 Reviewers Say About Tiger Data? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **clean and intuitive UI** of Tiger Data, facilitating seamless navigation and management. - Users find the **easy setup** of Tiger Data quick and efficient, simplifying their experience in scaling databases. - Users praise the **easy setup** of Tiger Data, making it quick to start and scale their database solutions. - Users value the **ease of data access and visualization** , enhancing decision-making speed and accuracy significantly. - Users appreciate the **high performance** of Tiger Data, enabling quick analysis and impactful insights for decision-making. **Cons:** - Users find the **expensive pricing** of Tiger Data challenging, particularly for smaller projects and startups. - Users find Tiger Data's **expensive licensing** and query costs challenging, especially for scaling projects and budgeting. - Users experience **missing features** like advanced visualizers and a slow UI, affecting efficiency and analytics capabilities. - Users experience **poor UI** performance, especially with large data sets, hindering efficient workflows and overall usability. - Users report **slow performance** with the UI when managing large datasets, affecting workflow and efficiency. #### What Are Recent G2 Reviews of Tiger Data? **"[Efficient and powerful database platform for scalable analytics](https://www.g2.com/survey_responses/tiger-data-review-11732784)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/tiger-data-review-11732784) --- **"[Great database for time series data](https://www.g2.com/survey_responses/tiger-data-review-8771352)"** **Rating:** 5.0/5.0 stars *— Daniel R.* [Read full review](https://www.g2.com/survey_responses/tiger-data-review-8771352) --- ### 25. [TileDB](https://www.g2.com/products/tiledb/reviews) TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases built for structured tabular data. Built on a powerful shape-shifting array database, TileDB handles the complexities of non-traditional “unstructured” multimodal data, such as genomic variants, bulk and single-cell transcriptomics, proteomics, biomedical imaging, as well as the frontier data of the future. Used by big pharma and biotechs to power their multiomic FAIR data platforms, TileDB is the destination for scientific breakthroughs where frontier multimodal data is driving drug and target discovery. **Average Rating:** 3.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate TileDB?** - **Data Model:** 8.3/10 (Category avg: 8.7/10) - **Data Types:** 6.7/10 (Category avg: 8.5/10) - **Integrated Cache:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind TileDB?** - **Seller:** [TileDB](https://www.g2.com/sellers/tiledb) - **Year Founded:** 2017 - **HQ Location:** Cambridge, Massachusetts, United States - **LinkedIn® Page:** https://www.linkedin.com/company/tiledb-inc (70 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of TileDB? **"[Organizing my company’s information](https://www.g2.com/survey_responses/tiledb-review-9985821)"** **Rating:** 4.5/5.0 stars *— Emily C.* [Read full review](https://www.g2.com/survey_responses/tiledb-review-9985821) --- ## What Is Columnar Databases? [IT Management Software](https://www.g2.com/categories/it-management) ## What Software Categories Are Similar to Columnar Databases? - [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) - [Time Series Databases](https://www.g2.com/categories/time-series-databases) - [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database)