# 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 ## How Many Columnar Databases Products Does G2 Track? **Total Products under this Category:** 27 ### Category Stats (Jun 2026) - **Average Rating**: 4.33/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Google Cloud BigQuery (+0.07%) - Among all products in this category, Google Cloud BigQuery recorded the largest rating increase compared to last month *Last updated: June 23, 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:** [ClickHouse](https://www.g2.com/products/clickhouse/reviews) - **Best Free Software:** [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) --- **Sponsored** ### QuestDB QuestDB is an open-source, SQL-first time-series database built for the most demanding workloads—from trading floors to mission control. A multi-tier design keeps hot data in native partitions and cold history in Parquet/object storage, queried via one SQL layer. Vectorized, columnar execution delivers high-throughput ingest and millisecond queries. Open formats (Parquet/Arrow) make it AI-ready and lock-in free. Deploy self-hosted or in your cloud (BYOC). [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%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=131714&secure%5Bresource_id%5D=2546&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fcolumnar-databases&secure%5Btoken%5D=38f2c0a984b72b29edd66fd26667ca7a66f481f4548d0eafb1ee792d3df6f044&secure%5Burl%5D=https%3A%2F%2Fquestdb.com&secure%5Burl_type%5D=company_website) --- ## 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:** 1,147 **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** of Google Cloud BigQuery, thanks to its fast performance and seamless integration. - Users appreciate the **high speed** of BigQuery, allowing quick processing of large datasets effortlessly. - Users value the **seamless integrations** of Google Cloud BigQuery, enhancing their analytics capabilities across various platforms. - Users value the **fast querying capabilities** of Google Cloud BigQuery, enabling efficient analysis of large datasets effortlessly. - Users praise the **query efficiency** of BigQuery, appreciating its ability to process complex queries effortlessly on large datasets. **Cons:** - Users find the **cost structure** of BigQuery to be expensive, especially with complex and inefficient queries. - Users struggle with **query issues** in BigQuery, facing challenges in cost management and troubleshooting complex SQL jobs. - Users face **unpredictable pricing** with Google Cloud BigQuery, leading to unexpected costs and challenges in budget management. - Users face **cost issues** with Google Cloud BigQuery due to unexpected bill spikes and difficult budgeting management. - Users find the **steep learning curve** of Google Cloud BigQuery challenging, especially for advanced features and query optimization. #### 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, 42% 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 appreciate the **ease of use** of Snowflake, finding it fast and effective for data storage and analytics. - 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 highlight Snowflake's **impressive scalability** , enabling efficient handling of complex queries and varying workloads effortlessly. - Users value Snowflake for its **fast data analysis and easy management** , simplifying complex infrastructure concerns. **Cons:** - Users highlight the **expensive pricing structure** of Snowflake, especially concerning for smaller businesses with limited budgets. - Users find **feature limitations** in Snowflake, especially regarding query performance and code block functionality in worksheets. - Users find the **learning curve challenging** , especially for inexperienced team members requiring extra training for effective use. - Users warn that **cost control requires discipline** as unmanaged resources can lead to unexpectedly high expenses. - 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:** 369 **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/ (156,424 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 value the **fast querying** capability of Amazon Redshift, enabling smooth and efficient access to large datasets. - Users appreciate the **seamless integrations** with other software and AWS services, enhancing their data handling capabilities. - Users appreciate the **ease of use** of Amazon Redshift, enjoying its user-friendly interface and quick setup process. - Users appreciate the **easy integrations** of Amazon Redshift, enabling seamless connections with various software and services. - Users highlight the **impressive speed and scalability** of Amazon Redshift, efficiently handling massive data volumes and complex queries. **Cons:** - Users find **feature limitations** in Redshift, noting its lack of advanced analytics and cross-language support. - Users note the **software limitations** of Redshift, struggling with performance, concurrency, and modern data handling compared to competitors. - Users face significant **complexity** in optimizing Amazon Redshift, requiring considerable management and maintenance efforts. - Users often face **query issues** , such as performance degradation and complexity that complicate optimization and tuning efforts. - Users note the **extensive effort required for query optimization** , which adds complexity and operational overhead in Redshift. #### 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:** - Analytics (1 reviews) - Availability (1 reviews) - Big Data Handling (1 reviews) - Data Analytics (1 reviews) - Data Storage (1 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 appreciate the **exceptional query performance** of ClickHouse, finding analytics fast and efficient even with large datasets. - Users appreciate the **exceptional availability** of ClickHouse, ensuring reliable performance for large-scale data analytics. - Users appreciate the **exceptional query performance** of ClickHouse, enabling lightning-fast analytics on large datasets. - Users appreciate the **exceptional query performance** of ClickHouse, enabling lightning-fast analytics on large datasets. - Users value ClickHouse for its **exceptional data storage** , enabling efficient, scalable analytics on large datasets. **Cons:** - Users find **beginner unfriendliness** in ClickHouse due to complex query optimizations needing advanced expertise. - Users find that **complex usage** can be challenging, particularly for those new to ClickHouse's advanced query optimizations. - Users find that **complex query optimizations** often necessitate expertise, posing challenges for newcomers to ClickHouse. - Users find that the **required expertise** for complex query optimizations can be challenging for newcomers to ClickHouse. - Users note that **training is required** for complex query optimizations, posing challenges for newcomers. #### 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. [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/ (359 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 find MariaDB's **ease of use** beneficial, especially for integration and daily performance management. - Users appreciate the **easy integrations** offered by MariaDB, enhancing their ability to connect with various platforms effortlessly. - Users value the **easy backup process** in MariaDB, which enhances data security and system reliability. - Users praise the **superior query execution speed** of MariaDB, significantly outpacing MySQL in performance. - Users appreciate the **cost efficiency** of MariaDB, benefiting from its free, open-source nature without compromising performance. **Cons:** - Users find MariaDB's **beginner unfriendliness** challenging initially due to its CLI-based interface but improve with daily use. - Users often face **integration failures** in MariaDB, leading to difficulties in identifying underlying bugs. - Users find **difficult learning** with MariaDB's CLI, especially first-time users who face initial usability issues. - Users often face **integration failures** , struggling to identify and resolve underlying bugs in MariaDB. - Users find **feature limitations** and initial CLI discomfort challenging, though daily use improves the overall experience. #### 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 ### 6. [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, enhancing performance in data handling and analysis. - Users appreciate the **fast columnar architecture** of MonetDB, enabling efficient big data analysis and quick query processing. - Users value the **enhanced speed** and efficient query processing of MonetDB for improved data management. - Users praise the **high performance** of MonetDB, noting its fast query handling and effective data processing. - Users enjoy the **user-friendly and fast performance** of MonetDB, enhancing their overall experience with data management. **Cons:** - Users find the **complex setup** of MonetDB challenging, affecting their overall experience and integration efforts. - Users often experience **connectivity issues** when integrating MonetDB with Python, complicating their data science workflows. - Users experience **limited customization** with MonetDB, facing challenges with indexing and integration in their workflows. - Users find MonetDB has **limited features** , hindering its effectiveness for transactional databases and backup solutions. - Users struggle with the **poor documentation** , making the installation and configuration of MonetDB quite complex. #### 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) ### 7. [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) ### 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:** - Analytics (4 reviews) - Fast Querying (4 reviews) - Large Datasets (4 reviews) - Performance (4 reviews) - Big Data Handling (3 reviews) **Cons:** - Learning Curve (4 reviews) - Complex Setup (3 reviews) - Difficult Setup (3 reviews) - Insufficient Documentation (3 reviews) - Poor Documentation (3 reviews) ### What Do G2 Reviewers Say About StarTree? *AI-generated summary from verified user reviews* **Pros:** - Users value the **real-time analytics** capabilities of StarTree, appreciating its speed and ease of use for large datasets. - Users appreciate the **fast querying** capabilities of StarTree, enabling efficient exploration of large datasets in real-time. - Users appreciate the **ability to efficiently handle large datasets** with fast, real-time analytics on StarTree. - Users appreciate the **fast and reliable real-time analytics** offered by StarTree, enhancing their experience with large datasets. - Users appreciate the **efficient handling of large data volumes** with StarTree, enhancing real-time analytics performance significantly. **Cons:** - Users find the **learning curve steep** , especially with configuration and performance tuning, though it becomes easier over time. - Users find the **complex setup** challenging, particularly for newcomers and when managing performance and integrations. - Users find the **difficult setup** of StarTree challenging, particularly for those unfamiliar with Apache Pinot and integrations. - Users struggle with **insufficient documentation** , which complicates setup and integration for those unfamiliar with Apache Pinot. - Users struggle with **poor documentation** , making setup and configuration challenging, especially for those unfamiliar with the system. #### 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 value the **ease of use** of CrateDB, enjoying its familiar SQL interface and seamless integration features. - Users favor the **fast SQL interface** of CrateDB, appreciating its efficiency in handling structured and semi-structured data. - Users enjoy the **easy integrations** of CrateDB, allowing seamless addition to their production workflows effortlessly. - Users value the **flexibility** of CrateDB, enabling various data types and adaptable deployment options for diverse needs. - Users appreciate the **versatile data handling** of CrateDB, enabling efficient multi-model and time-series data management. **Cons:** - Users note a **lack of features** , including insufficient comparative information and limited ecosystem support for CrateDB. - Users find **software limitations** in CrateDB, particularly in connectors, SQL functions, and support for data quality activities. - Users note the **limited features** of CrateDB, particularly in connectors, tools, and missing advanced analytical capabilities. - Users find **poor documentation** in CrateDB, especially lacking details on Kubernetes configurations and integrations. - Users find the **complex configuration** of CrateDB challenging, especially with Kubernetes and limited admin dashboard options. #### 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. [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/ (2,408 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) --- ### 11. [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/ (2,408 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) ### 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 commend the **lightning-fast performance** of KX, enabling efficient real-time dashboard creation with ease. - Users highlight the **exceptional performance** of KX, noting its speed and efficiency in handling complex data sets. - Users highlight the **extreme power and versatility** of KX products, facilitating efficient problem-solving with KDB/Q. - Users highlight the **powerful and versatile tools** of KX, praising their unmatched platform and support for efficiency. - Users appreciate the **real-time analytics capabilities** of KX, enabling swift, data-driven decisions in dynamic markets. **Cons:** - Users find the **learning curve steep** , requiring dedication, though KX offers helpful resources for new learners. - Users find the **difficult learning** curve of KX daunting initially, but it becomes manageable with experience. - Users find the **steep learning curve** of KX challenging due to limited external resources, though helpful training exists. - Users find KX licenses to be **expensive for occasional use** , making it difficult for hobby users and small organizations. - Users face **initial difficulties** learning KX due to limited online resources and integration challenges with other applications. #### What Are Recent G2 Reviews of KX? **"[The best ecosystem for quants and data engineers](https://www.g2.com/survey_responses/kx-review-10651130)"** **Rating:** 5.0/5.0 stars *— Alex T.* [Read full review](https://www.g2.com/survey_responses/kx-review-10651130) --- **"[KX is an incredible company with the best time-series database in the world.](https://www.g2.com/survey_responses/kx-review-11467454)"** **Rating:** 5.0/5.0 stars *— Kenan D.* [Read full review](https://www.g2.com/survey_responses/kx-review-11467454) --- ### 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/ (2,408 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/ (2,408 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-effectiveness and efficiency** of Azure Table Storage for managing large volumes of data. - Users find Azure Table Storage to be **cost-effective** , allowing economical storage and management of large data volumes. - Users value the **efficiency** of Azure Table Storage, praising its ability to manage large data volumes economically. - Users find Azure Table Storage to be the **amazing tool for resource management** , seamlessly integrating with other Microsoft services. - Users value the **seamless integration** of Azure Table Storage with other Microsoft services for efficient resource management. **Cons:** - Users experience **scalability issues** due to limited query support and lack of relational database features in Azure Table Storage. - Users note the **limited query support** of Azure Table Storage, making it ineffective for relational data scenarios. #### 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 flexibility. - Users value the **speed and flexibility** of Azure Cosmos DB, appreciating its vast features and excellent support. - Users value the **seamless integrations** with Microsoft services and APIs, enhancing flexibility and ease of use. - Users value the **impressive scalability** of Azure Cosmos DB, making resource management efficient and seamless. - Users value the **customization options** in Azure Cosmos DB, allowing tailored configurations for diverse use cases. **Cons:** - Users find Azure Cosmos DB **expensive** , noting that costs can escalate rapidly without proper storage optimization. - Users highlight the **high costs** associated with Azure Cosmos DB, especially if storage isn't optimized effectively. - Users find the **complexity of Azure Cosmos DB** challenging, especially regarding its confusing cost structure and limited features. - Users find the **complex usage** of Azure Cosmos DB challenging, requiring significant learning for non-experts. - Users note that costs can **escalate quickly** with Azure Cosmos DB if storage is not optimized and partitioned properly. #### 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 love the **ease of use** of Google Cloud BigTable, enjoying smooth UI and seamless data handling. - Users find Google Cloud BigTable to have **ease of use** , making implementation of features like VMs straightforward and efficient. - Users appreciate the **seamless integration** of Google Cloud BigTable with various services, enhancing their application development experience. - Users appreciate the **seamless application development capabilities** of Google Cloud BigTable, enabling efficient access to vast resources. - Users appreciate the **real-time data analytics** capabilities of Google Cloud BigTable for seamless big data access and processing. **Cons:** - Users find the **cost issues** of Google Cloud BigTable to be high and difficult to predict monthly expenses. - Users find the **pricing structure expensive** and unpredictable, making budgeting a challenging aspect of using Google Cloud BigTable. - Users express concerns about **billing issues** with Google Cloud BigTable, citing unpredictable costs and high pricing. - Users find Google Cloud BigTable's **complexity** challenging, noting the steep learning curve and overwhelming tools for developers. - Users find Google Cloud BigTable has a **learning difficulty** due to its complexity and limited coding language support. #### 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 find Tembo's platform to be **easy to use and navigate** , facilitating efficient data management for everyone. - Users value the **easy deployment and intuitive tools** of Tembo, enhancing efficiency and simplifying complex data management. - Users appreciate the **easy integrations** with various tools, streamlining workflows and enhancing data management efficiency. - Users find Tembo's **ease of setup** remarkable, allowing quick deployment and simplified integration with existing systems. - Users praise the **easy integrations** of Tembo, simplifying data unification and enhancing overall productivity with minimal effort. **Cons:** - Users find **limited flexibility** in Tembo due to insufficient customization options and occasional database connectivity issues. - Users feel that the **limited integration with AWS** restricts functionality and hampers cloud service flexibility. - Users express the need for more **cloud provider options** , highlighting limited integration with only AWS available. - Users find Tembo to be **expensive** , especially for small businesses and those needing advanced features. - Users find the **limited customization** options frustrating, affecting flexibility and overall user experience 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 (51 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 find Tinybird's **ease of use** instrumental for seamless data analytics integration and rapid development. - Users love the **easy integration and real-time analytics capabilities** of Tinybird, enhancing their data-driven projects seamlessly. - Users appreciate the **easy integrations** with apps like Confluent Cloud, enhancing their real-time analytics capabilities. - Users value the **ease of integration and quick setup** with Tinybird, enhancing their data analytics experience. - Users appreciate the **easy integrations** with apps, enabling fast development of real-time dashboards and accurate analytics. **Cons:** - Users struggle with **poor customer support** , experiencing delays and inadequate documentation that hinder effective use of Tinybird. - Users note that the **lack of features** in Tinybird limits data flow and complicates navigation for new users. - Users often struggle with the **steep learning curve** of Tinybird, finding it challenging to utilize its features effectively. - Users struggle with **learning difficulty** due to the complex interface and inadequate documentation for new users. - Users note the **limited customization** options in Tinybird, making it difficult 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) - **Company Website:** https://celerdata.com - **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** of CelerData Cloud, which greatly enhances their data transformation experience. - Users value the **incredibly fast query performance** of CelerData Cloud, greatly enhancing their data strategy and experience. - Users value the **incredibly fast query performance** of CelerData Cloud, complemented by excellent customer support. - Users value the **fast communication** provided by CelerData Cloud, enhancing their ability to transform data strategies effectively. - Users admire the **incredibly fast query performance** of CelerData Cloud, enhancing their data strategy efficiently. #### 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 appreciate the **analytics capabilities** of Hypertable, enabling easy scalability and support for multiple data types. - Users value the **large dataset handling** of Hypertable, emphasizing its scalability and support for diverse data types. - Users value the **scalability** of Hypertable, as it simplifies managing large datasets effectively across distributions. **Cons:** - Users face **complex initial setup** and security features with Hypertable, making it challenging to implement effectively. - Users find the **security issues** of Hypertable concerning, adding complexity to the initial setup process. #### 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 love the **clean and intuitive UI** of Tiger Data, making navigation and integration seamless and efficient. - Users value the **easy setup** and quick creation of instances with Tiger Data, enhancing their database experience significantly. - Users commend the **easy setup** of Tiger Data, facilitating quick scalable vector database creation and management. - Users appreciate the **easy data accessibility and visualization** provided by Tiger Data, enhancing decision-making speed and accuracy. - Users value the **high performance and user-friendly interface** of Tiger Data, enhancing their data management experience significantly. **Cons:** - Users find the pricing of Tiger Data to be **expensive** , especially for smaller projects or startups. - Users find the **expensive licensing** of Tiger Data a concern, especially for scaling budgets on larger projects. - Users express concern over **missing features** like advanced visualizers and sometimes face slow UI performance, impacting efficiency. - Users report a **poor UI** experience with slow load times, especially when handling large datasets and multiple tables. - Users experience **slow performance** with Tiger Data, particularly with its UI when handling large data sets and tables. #### 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) --- **"[Effective tool for data insights](https://www.g2.com/survey_responses/tiger-data-review-11740247)"** **Rating:** 4.0/5.0 stars *— Kartikey A.* [Read full review](https://www.g2.com/survey_responses/tiger-data-review-11740247) --- ### 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)