Best Relational Databases - Page 6

How Many Relational Databases Products Does G2 Track?

Total Products under this Category: 185

Category Stats (Sep 2026)

  • Average Rating: 4.26/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ER/Studio (+2.77%) - Among all products in this category, ER/Studio recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Relational Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,500+ Authentic Reviews
  • 185+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Relational Databases

G2 Grid® for Relational Databases plotting products by satisfaction and market presence

Highlighted products: Microsoft SQL Server, Oracle Database, Amazon Relational Database Service (RDS), Google Cloud SQL, SAP HANA Cloud, Supabase, MySQL, and EDB Postgres AI Database.

Underlying data: [Grid® JSON](https://www.g2.com/categories/relational-databases/grids.json?focus%5B%5D=microsoft-sql-server&focus%5B%5D=oracle-database&focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=google-cloud-sql&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=supabase-supabase&focus%5B%5D=mysql&focus%5B%5D=edb-postgres-ai-database)

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.

Average Rating: 4.6/5.0

Total Reviews: 7

How Do G2 Users Rate RaimaDB?

  • Ease of Use: 7.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.9/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 6.7/10 (Category avg: 8.6/10)

Who Is the Company Behind RaimaDB?

  • Seller: Raima
  • Company Website:
  • Year Founded: 1982
  • HQ Location: Seattle, US
  • Twitter: @RaimaDB
    715 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 57% Small, 14% Large

What Do G2 Reviewers Say About RaimaDB?

AI-generated summary from verified user reviews

Pros
  • Users commend the exceptional customer support of RaimaDB, highlighting its responsiveness and clarity in communication.
  • Users praise RaimaDB for its exceptional performance, delivering high-speed reliability and transparency in data handling.
  • Users praise RaimaDB for its exceptional speed, enabling high-performance transactional persistence for real-time integration tasks.
  • Users value the exceptional performance of RaimaDB, ensuring high-speed, reliable solutions for embedded systems.
  • Users appreciate the exceptional speed and reliability of RaimaDB, making it ideal for embedded systems.
Cons
  • Users find difficult learning curve due to complex APIs, debugging challenges, and lack of modern features in RaimaDB.
  • Users face feature limitations with RaimaDB, particularly in API flexibility and SQL capabilities, impacting usability and debugging.
  • Users find RaimaDB's required expertise challenging, as it demands technical knowledge that is increasingly rare.
  • Users find backup issues with RaimaDB due to a lack of robust management and inspection tools.
  • Users find RaimaDB to have a beginner-unfriendly experience, making it challenging for new users to engage effectively.

What Are Recent G2 Reviews of RaimaDB?

What Are G2 Users Discussing About RaimaDB?

SQLITE FORENSICS EXPLORER

Sqlite Forensics Explorer is a sqlite database evidence carving software

Average Rating: 4.3/5.0

Total Reviews: 6

How Do G2 Users Rate SQLITE FORENSICS EXPLORER?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind SQLITE FORENSICS EXPLORER?

  • Seller: Acquire Forensics
  • Year Founded: 2015
  • HQ Location: Holladay, US
  • Twitter: @acquireforensic
    3 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 33% Small

What Are Recent G2 Reviews of SQLITE FORENSICS EXPLORER?

Tinybird

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?

  • Ease of Use: 7.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Tinybird?

  • Seller: Tinybird
  • Year Founded: 2019
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    52 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Medium, 36% Small

What Do G2 Reviewers Say About Tinybird?

AI-generated summary from verified user reviews

Pros
  • Users find Tinybird to be incredibly easy to use, enabling seamless integration and efficient data analytics development.
  • Users value the ease of integration and real-time analytics offered by Tinybird, enhancing their data experience.
  • Users love the easy integrations of Tinybird, enabling seamless connections and fast development of real-time analytics.
  • Users appreciate Tinybird's ease of integration and exploration, making data analytics simple and efficient for developers.
  • Users value the easy integrations with apps like Confluent Cloud for streamlined real-time analytics and development.
Cons
  • Users report poor customer support, highlighting slow response times and insufficient documentation for new users.
  • Users note a lack of features in Tinybird, limiting integrations and hindering data flow and scalability.
  • Users experience a steep learning curve with Tinybird, making navigation and feature utilization challenging for newcomers.
  • Users experience a learning difficulty with Tinybird, facing challenges in navigation and utilizing its features effectively.
  • Users face limited customization with Tinybird, which restricts adaptability and complicates integration with other platforms.

What Are Recent G2 Reviews of Tinybird?

What Are G2 Users Discussing About Tinybird?

Volt Active Data

The Volt Active Data Platform enables companies to unlock the full value of their data and applications by making it possible to have scale without compromising on speed, accuracy, or consistency. Based on a simplified stack and an ingest-to-action layer that can perform sub 10-millisecond decisioning, Volt’s unique, no-compromises foundation gives enterprises the ability to maximize the ROI of their 5G, IoT, AI/ML, and other investments, ensure “five 9’s” uptime, prevent fraud and intrusion, deliver hyper-personalized customer engagement, and save on operational costs.

Average Rating: 4.3/5.0

Total Reviews: 6

How Do G2 Users Rate Volt Active Data?

  • Ease of Use: 7.5/10 (Category avg: 8.5/10)
  • Workload Management: 6.7/10 (Category avg: 8.3/10)
  • Data Schema: 6.7/10 (Category avg: 8.6/10)
  • Query Language: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Volt Active Data?

  • Seller: Volt Active Data
  • Year Founded: 2009
  • HQ Location: Bedford, US
  • Twitter: @VoltActiveData
    5,175 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    53 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of Volt Active Data?

What Are G2 Users Discussing About Volt Active Data?

WebScaleSQL

WebScaleSQL is a collaboration among engineers from several companies that face the same challenges in deploying MySQL at scale, and seek greater performance from a database technology tailored for their needs.

Average Rating: 4.2/5.0

Total Reviews: 9

How Do G2 Users Rate WebScaleSQL?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 7.8/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 7.9/10 (Category avg: 8.6/10)

Who Is the Company Behind WebScaleSQL?

  • Seller: WebScaleSQL
  • HQ Location: N/A
  • Twitter: @WebScaleSQL
    385 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Medium, 33% Small

What Do G2 Reviewers Say About WebScaleSQL?

AI-generated summary from verified user reviews

Pros
  • Users value the data analytics capabilities of WebScaleSQL, allowing for informed decision-making and customer insights.
  • Users appreciate the multi-cloud support of WebScaleSQL, enabling informed decisions and deeper customer insights.
  • Users value the data analytics capabilities of WebScaleSQL, enhancing decision-making and customer insights significantly.
  • Users value the multi-cloud support and analytics features of WebScaleSQL for informed decision-making and customer insights.

What Are Recent G2 Reviews of WebScaleSQL?

What Are G2 Users Discussing About WebScaleSQL?

CA IDMS

Achieve superior, cost-effective database performance with maximum flexibility using CA's proven, Web-enabled, high-performance mainframe relational database management system.

Average Rating: 3.9/5.0

Total Reviews: 7

How Do G2 Users Rate CA IDMS?

  • Ease of Use: 8.6/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind CA IDMS?

  • Seller: Broadcom
  • Year Founded: 1991
  • HQ Location: San Jose, CA
  • Twitter: @broadcom
    63,909 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    44,602 employees on LinkedIn®
  • Ownership: NASDAQ: CA

Who Uses This Product?

  • Company Size: 43% Large, 29% Medium

What Do G2 Reviewers Say About CA IDMS?

AI-generated summary from verified user reviews

Pros
  • Users value the fast and secure handling of large data volumes by CA IDMS, especially in enterprise systems.
  • Users find CA IDMS excellent for fast and secure database management, especially in large enterprise systems.
  • Users appreciate the data security of CA IDMS, ensuring reliable and fast management of large data volumes.
  • Users praise CA IDMS for its fast and secure data storage, making it ideal for large enterprise systems.
  • Users value the reliability of CA IDMS, making it ideal for large-scale enterprise systems and data handling.
Cons
  • Users find CA IDMS to be beginner unfriendly, citing its complexity and outdated interface as major obstacles.
  • Users find CA IDMS to have difficult learning curves, requiring specialized skills for effective management and use.
  • Users find CA IDMS inflexible, with a steep learning curve and outdated interface impacting usability.
  • Users find the learning curve steep with CA IDMS, citing its outdated interface and complexity as major challenges.
  • Users find CA IDMS' poor interface design challenging and less adaptable compared to modern databases.

What Are Recent G2 Reviews of CA IDMS?

What Are G2 Users Discussing About CA IDMS?

ExtremeDB

The eXtremeDB database combines exceptional performance, reliability and developer efficiency in a proven real-time embedded database engine.

Average Rating: 4.2/5.0

Total Reviews: 10

How Do G2 Users Rate ExtremeDB?

  • Ease of Use: 8.1/10 (Category avg: 8.5/10)
  • Workload Management: 9.4/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind ExtremeDB?

  • Seller: McObject
  • Year Founded: 2001
  • HQ Location: Federal Way, WA
  • Twitter: @LowLatencyDB
    4,836 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 30% Large

What Are Recent G2 Reviews of ExtremeDB?

Neon

Neon is a modern, developer-friendly Postgres service built for the cloud. Neon separates storage and compute to efficiently autoscale projects, support database branching, and provide “bottomless” storage.

Average Rating: 4.8/5.0

Total Reviews: 4

How Do G2 Users Rate Neon?

  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Workload Management: 7.5/10 (Category avg: 8.3/10)
  • Data Schema: 10.0/10 (Category avg: 8.6/10)
  • Query Language: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Neon?

  • Seller: Neon
  • Year Founded: 2021
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    172 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 50% Medium

What Do G2 Reviewers Say About Neon?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the availability provided by Neon, benefiting from hassle-free, managed database deployments.
  • Users value the managed database deployments of Neon, ensuring reliability without the hassle of self-hosting.
  • Users appreciate the management ease of Neon, enjoying effortless database deployments without the need for self-hosting.
Cons
  • Users find the limited customization at the free tier restricts database usage, though it's sufficient for personal needs.

What Are Recent G2 Reviews of Neon?

Splice Machine

The Splice Machine database is built on two technology stacks: Apache Derby, a Java-based, ANSI SQL Database, and HBase/Hadoop, a proven distributed computing infrastructure.

Average Rating: 4.6/5.0

Total Reviews: 4

How Do G2 Users Rate Splice Machine?

  • Ease of Use: 8.8/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Splice Machine?

  • Seller: Splice Machine
  • Year Founded: 2012
  • HQ Location: San Francisco, US
  • Twitter: @splicemachine
    2,310 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 25% Small

What Are Recent G2 Reviews of Splice Machine?

What Are G2 Users Discussing About Splice Machine?

Tibero

Tibero is an innovative database management system (DBMS*) that delivers optimal business value. It efficiently manages resources to achieve optimum performance.

Average Rating: 4.4/5.0

Total Reviews: 4

How Do G2 Users Rate Tibero?

  • Ease of Use: 7.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Tibero?

  • Seller: TmaxSoft
  • Year Founded: 1997
  • HQ Location: Chicago, US
  • Twitter: @TmaxSoft
    511 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    274 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Medium, 25% Large

What Are Recent G2 Reviews of Tibero?

What Are G2 Users Discussing About Tibero?

Apache Ignite

Apache Ignite is an in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.

Average Rating: 3.9/5.0

Total Reviews: 17

How Do G2 Users Rate Apache Ignite?

  • Ease of Use: 7.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Apache Ignite?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 35% Large, 35% Medium

What Are Recent G2 Reviews of Apache Ignite?

Clustrix

ClustrixDB is the distributed database that uniquely meets the growth, performance, and availability demands of today’s online retailers

Average Rating: 4.2/5.0

Total Reviews: 3

How Do G2 Users Rate Clustrix?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Clustrix?

  • Seller: MariaDB
  • Year Founded: 2014
  • HQ Location: Espoo, Finland
  • Twitter: @mariadb
    452,246 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    398 employees on LinkedIn®
  • Ownership: NYSE: MRDB

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Clustrix?

What Are G2 Users Discussing About Clustrix?

dbForge Documenter for SQL Server

dbForge Documenter for SQL Server is a tool that automatically generates documentation of an entire SQL Server database with a wide range of options to customize the generated documentation to meet specific requirements.

Average Rating: 4.2/5.0

Total Reviews: 3

How Do G2 Users Rate dbForge Documenter for SQL Server?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind dbForge Documenter for SQL Server?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    251 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Do G2 Reviewers Say About dbForge Documenter for SQL Server?

AI-generated summary from verified user reviews

Pros
  • Users value the documentation generation capability of dbForge Documenter for SQL Server, enhancing collaboration with developers and consultants.
  • Users value the flexibility in documentation formats provided by dbForge Documenter for SQL Server, enhancing collaboration.

What Are Recent G2 Reviews of dbForge Documenter for SQL Server?

FrontBase

Relational database server that offers backup of live databases, datastore encryption, replication/mirroring capabilities, and more.

Average Rating: 4.3/5.0

Total Reviews: 3

How Do G2 Users Rate FrontBase?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind FrontBase?

Who Uses This Product?

  • Company Size: 67% Medium, 33% Small

What Are Recent G2 Reviews of FrontBase?

What Are G2 Users Discussing About FrontBase?

HumongouS.io

HumongouS.io is a secure, modern and easy to use online MongoDB GUI. It is the best way to create a fully-fledged, entirely customizable online admin interface for your products. HumongouS.io has a beautiful and modern UI, is completely web based, works beautifully on mobile and allow teams to work collaboratively around the same database. It abstracts away the complexities of writing custom queries with a blazing fast Search engine, supports CRUD operations, import/export of data and Joins.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate HumongouS.io?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind HumongouS.io?

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of HumongouS.io?

What Are G2 Users Discussing About HumongouS.io?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated June 9, 2025