Top Free Relational Databases

How Many Relational Databases Products Does G2 Track?

Total Products under this Category: 184

Category Stats (Oct 2026)

  • Average Rating: 4.27/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ER/Studio (+1.88%) - Among all products in this category, ER/Studio recorded the largest rating increase compared to last month

Last updated: October 26, 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
  • 184+ 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, Supabase, Google Cloud SQL, SAP HANA Cloud, Amazon Relational Database Service (RDS), 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=supabase-supabase&focus%5B%5D=google-cloud-sql&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=mysql&focus%5B%5D=edb-postgres-ai-database)

Supabase

Supabase is an open-source backend-as-a-service (BaaS) platform that enables developers to build and scale applications efficiently without managing server infrastructure. Launched in 2020 as an alternative to Firebase, Supabase offers a suite of tools including a PostgreSQL database, authentication, real-time subscriptions, and storage capabilities. By leveraging the robustness of PostgreSQL, Supabase provides a scalable and secure foundation for modern web and mobile applications. Key Features and Functionality: - PostgreSQL Database: Each Supabase project includes a dedicated PostgreSQL database, offering full SQL support and advanced features such as JSON handling, full-text search, and vector support. - Instant APIs: Supabase automatically generates RESTful and GraphQL APIs based on your database schema, eliminating the need for manual coding and accelerating development. - Authentication and Authorization: The platform provides built-in user authentication with support for various sign-in methods, including email/password, magic links, and social logins. It also integrates seamlessly with PostgreSQL's Row Level Security for fine-grained access control. - Real-time Capabilities: Supabase enables real-time data synchronization via WebSockets, allowing applications to respond instantly to database changes. - Edge Functions: Developers can deploy serverless functions close to users for low-latency execution, facilitating scalable and efficient backend logic. - File Storage: Supabase offers scalable storage solutions for managing and serving files, complete with configurable access policies to ensure data security. Primary Value and User Solutions: Supabase addresses the challenges developers face in building and scaling applications by providing a comprehensive, open-source backend platform. It eliminates the complexities of managing server infrastructure, allowing developers to focus on creating feature-rich applications. With its real-time capabilities, robust authentication, and seamless integration with PostgreSQL, Supabase empowers developers to build secure, scalable, and responsive applications efficiently.

Average Rating: 4.6/5.0

Total Reviews: 238

How Do G2 Users Rate Supabase?

  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Workload Management: 7.8/10 (Category avg: 8.3/10)
  • Data Schema: 9.8/10 (Category avg: 8.6/10)
  • Query Language: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Supabase?

  • Seller: Supabase
  • Year Founded: 2020
  • HQ Location: Global, US
  • LinkedIn® Page: www.linkedin.com
    436 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 77% Small, 20% Medium

What Do G2 Reviewers Say About Supabase?

AI-generated summary from verified user reviews

Pros
  • Users find Supabase easy to use, enjoying its user-friendly interface and smooth integration with tools for app development.
  • Users appreciate the powerful design and easy integration of Supabase, enhancing their development experience significantly.
  • Users appreciate the user-friendly interface of Supabase, making it easy to set up and integrate smoothly.
  • Users love the easy integrations of Supabase, enhancing their workflow and speeding up project development seamlessly.
  • Users appreciate the seamless integrations of Supabase, enhancing the developer experience across various tools and projects.
Cons
  • Users feel that Supabase has beginner unfriendliness, citing complexity and limited resources for novice coders.
  • Users find the pricing expensive, especially for premium features that should be accessible to all users.
  • Users find Supabase has a high complexity that challenges novice coders and could benefit from better documentation.
  • Users face insufficient guidance in Supabase, making it challenging for novice coders to navigate the platform.
  • Users find that learning difficulties with Supabase arise due to its complexity and limited documentation for novices.

What Are Recent G2 Reviews of Supabase?

Amazon Relational Database Service (RDS)

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.

Average Rating: 4.5/5.0

Total Reviews: 864

How Do G2 Users Rate Amazon Relational Database Service (RDS)?

  • Ease of Use: 8.8/10 (Category avg: 8.5/10)
  • Workload Management: 8.7/10 (Category avg: 8.3/10)
  • Data Schema: 8.8/10 (Category avg: 8.6/10)
  • Query Language: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Amazon Relational Database Service (RDS)?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: DevOps Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Medium, 34% Large

What Do G2 Reviewers Say About Amazon Relational Database Service (RDS)?

AI-generated summary from verified user reviews

Pros
  • Users find Amazon RDS to be extremely easy to use, streamlining deployment and saving valuable setup time.
  • Users appreciate the effortless scalability of Amazon RDS, enhancing application performance during unexpected traffic spikes.
  • Users find RDS to be very secure and reliable, alleviating concerns about data loss and downtime.
  • Users appreciate the easy setup of Amazon RDS, enabling quick deployment and hassle-free management for their applications.
  • Users appreciate the automated backup services of Amazon RDS, allowing them to focus on application development without data loss worries.
Cons
  • Users find the cost of Amazon RDS quite high, especially with charges accruing for unused instances.
  • Users note that cost issues can escalate quickly, with unexpected charges making budgeting challenging.
  • Users experience limited control over configurations in Amazon RDS, restricting customization and flexibility for their projects.
  • Users find the complex naming conventions in AWS services frustrating, making it hard for newcomers to navigate.
  • Users find Amazon RDS to have limited customization, restricting advanced configurations for more complex needs.

What Are Recent G2 Reviews of Amazon Relational Database Service (RDS)?

What Are G2 Users Discussing About Amazon Relational Database Service (RDS)?

Google Cloud SQL

Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.

Average Rating: 4.5/5.0

Total Reviews: 355

How Do G2 Users Rate Google Cloud SQL?

  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Workload Management: 9.0/10 (Category avg: 8.3/10)
  • Data Schema: 9.1/10 (Category avg: 8.6/10)
  • Query Language: 9.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Google Cloud SQL?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Medium, 34% Small

What Do G2 Reviewers Say About Google Cloud SQL?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the efficiency and automation of Google Cloud SQL for hassle-free database management and maintenance.
  • Users value the seamless integration of Google Cloud SQL with Google Cloud services, enhancing scalability and performance.
  • Users appreciate the ease of use of Google Cloud SQL, simplifying database management without infrastructure worries.
  • Users value the easy integrations of Google Cloud SQL, enhancing efficiency and convenience for database management.
  • Users commend the scalability of Google Cloud SQL, appreciating its seamless integration and efficient management of databases.
Cons
  • Users find Google Cloud SQL to be expensive, especially for storage and smaller projects, making it less accessible.
  • Users find Google Cloud SQL to be expensive, especially as workloads increase, straining budgets and resources.
  • Users face scaling issues with Google Cloud SQL due to slow support and manual adjustments for changing workloads.
  • Users find the complex pricing of Google Cloud SQL challenging, leading to confusion and difficulty in cost prediction.
  • Users find Google's pricing to be confusing, especially with unexpected usage spikes affecting cost predictions.

What Are Recent G2 Reviews of Google Cloud SQL?

What Are G2 Users Discussing About Google Cloud SQL?

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IBM Db2

Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency transactions and real-time analytics equipped for the most demanding workloads. From microservices to AI workloads, Db2 is the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.

Average Rating: 4.1/5.0

Total Reviews: 600

How Do G2 Users Rate IBM Db2?

  • Ease of Use: 8.0/10 (Category avg: 8.5/10)
  • Workload Management: 8.5/10 (Category avg: 8.3/10)
  • Data Schema: 8.6/10 (Category avg: 8.6/10)
  • Query Language: 8.4/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM Db2?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 66% Large, 21% Medium

What Do G2 Reviewers Say About IBM Db2?

AI-generated summary from verified user reviews

Pros
  • Users highlight the high performance of IBM Db2, appreciating its reliability and efficiency in managing large datasets.
  • Users praise IBM Db2 for its exceptional reliability, consistently delivering strong performance even under heavy workloads.
  • Users commend the scalability of IBM Db2, ensuring excellent performance even with large datasets and enterprise workloads.
  • Users highlight the strong security of IBM Db2, making it a reliable choice for critical workloads across industries.
  • Users find IBM Db2 to be easy to use and integrate, enhancing daily tasks and overall efficiency.
Cons
  • Users often find the complex setup of IBM Db2 challenging, requiring significant time and effort to manage effectively.
  • Users find IBM Db2 to be expensive, with high licensing costs and significant resource demands impacting their budget.
  • Users face a steep learning curve with IBM Db2, making setup and administration challenging for newcomers.
  • Users find IBM Db2's setup complex, facing high costs and limited documentation that complicate the user experience.
  • Users find the difficult setup of IBM Db2 challenging, often leading to frustration during initial configuration and administration.

What Are Recent G2 Reviews of IBM Db2?

What Are G2 Users Discussing About IBM Db2?

YugabyteDB

YugabyteDB is AI-ready, turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the tradeoffs you get with legacy databases by uniquely combining enterprise-grade RDBMS capabilities with the horizontal scalability and resilience of cloud native architectures. YugabyteDB delivers a single logical database that can span across any cloud (private, public or hybrid). Industry-leading companies including Kroger, GM, Rakuten, Fiserv and Wells Fargo rely on YugabyteDB for mission-critical transactional applications. PostgreSQL Compatibility: YugabyteDB is more than just wire compatible with PostgreSQL, it is code compatible. YugabyteDB achieves this by reusing PostgreSQL’s query layer to achieve a high degree of compatibility with existing PostgreSQL applications or those that can be migrated to PostgreSQL. Developers can be immediately productive with the ecosystem of PostgreSQL-compatible frameworks, applications, drivers, and tools. Advanced Relational Database Capabilities: YugabyteDB delivers a comprehensive set of advanced RDBMS features like triggers, functions, stored procedures, strong secondary indexes, and distributed ACID transactions. This means that developers don't need to choose between the horizontal scalability of NoSQL systems and the ACID guarantees of traditional SQL systems. Resilience and High Availability: With YugabyteDB, critical services remain available during node, zone, region, and data center failures with fast failovers. YugabyteDB heals itself by re-replicating data automatically, and delivers zero downtime on maintenance tasks such as software upgrades, security patching, and distributed backups. Horizontal Scalability: Operations teams can effortlessly scale out even under heavy load without disruption or downtime by simply adding nodes to their YugabyteDB cluster. The database automatically rebalances load to use available resources. YugabyteDB’s shared nothing architecture is designed with no single point of failure or bottleneck. Geographic Distribution: YugabyteDB offers the most comprehensive and flexible deployment options in geo-distributed environments. Operators can make use of synchronous and asynchronous data replication and geo-partitioning to achieve desired consistency, resilience, performance, and compliance objectives. Security: YugabyteDB is built from the ground up with data security in mind. The database enables organizations to maintain a robust security posture with built-in controls such as LDAP authentication, role-based access control (RBAC), data encryption at rest and in transit (TLS), audit logging, and column-level permissions. Advanced features such as row level security (RLS) and column-level encryption are available for more advanced use cases. YugabyteDB is 100% open source, so download and start using the full set of features for free. You can also choose a flexible cloud DBaaS consumption option based on your needs: 1. YugabyteDB Aeon: Start with a free trial and enjoy a fully-managed DBaaS service that allows you to leave the day 2 operations and management work to YugabyteDB. 2. YugabyteDB Anywhere: Deploy a self-managed DBaaS in your environment with built-in automation to deploy, scale, and monitor YugabyteDB clusters at scale. YugabyteDB Voyager is an end-to-end modernization tool that can accelerate your cloud native adoption by simplifying the migration of both schema and data from databases including Oracle, PostgreSQL, MySQL, Aurora PostgreSQL, Azure SQL for PostgreSQL, and more. Learn more about YugabyteDB: https://www.yugabyte.com/ Sign up for YugabyteDB Aeon for free: https://cloud.yugabyte.com/

Average Rating: 4.5/5.0

Total Reviews: 62

How Do G2 Users Rate YugabyteDB?

  • Ease of Use: 9.0/10 (Category avg: 8.5/10)
  • Workload Management: 8.1/10 (Category avg: 8.3/10)
  • Data Schema: 8.6/10 (Category avg: 8.6/10)
  • Query Language: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind YugabyteDB?

  • Seller: Yugabyte, Inc.
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Sunnyvale, CA
  • Twitter: @Yugabyte
    9,272 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    497 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 45% Medium, 40% Small

What Do G2 Reviewers Say About YugabyteDB?

AI-generated summary from verified user reviews

Pros
  • Users value the easy scalability of YugabyteDB, allowing seamless expansion without significant downtime or complexity.
  • Users find YugabyteDB to be a highly reliable database, ensuring data safety and seamless operation even under stress.
  • Users value the high availability of YugabyteDB, enabling seamless operation and confidence in critical workloads.
  • Users appreciate the high availability of YugabyteDB, ensuring minimal downtime and supporting critical workloads effectively.
  • Users value the high performance and scalability of YugabyteDB, enabling efficient handling of increasing transaction volumes effortlessly.
Cons
  • Users find the operational complexity of YugabyteDB challenging, especially regarding multi-region management and advanced features.
  • Users note a steep learning curve with YugabyteDB, especially related to cluster setup and operational management.
  • Users find the complex setup of YugabyteDB challenging initially, requiring significant hands-on work compared to simpler databases.
  • Users find the setup and configuration complex, especially when managing distributed clusters compared to simpler systems.
  • Users experience slow performance with YugabyteDB, especially during complex queries and under heavy loads.

What Are Recent G2 Reviews of YugabyteDB?

Teradata Autonomous Knowledge Platform

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com.

Average Rating: 4.3/5.0

Total Reviews: 354

How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

  • Ease of Use: 8.3/10 (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: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Teradata Autonomous Knowledge Platform?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 69% Large, 22% Medium

What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

AI-generated summary from verified user reviews

Pros
  • Users highlight the extreme performance of Teradata Autonomous Knowledge Platform, emphasizing its speed in processing large data volumes.
  • Users value the high performance and scalability of Teradata for handling complex queries and data integration.
  • Users value the scalability of Teradata Autonomous Knowledge Platform, seamlessly integrating and managing vast data resources efficiently.
  • Users commend the extreme performance of Teradata, highlighting its speed in processing large datasets seamlessly.
  • Users value the fast processing of large datasets in Teradata, appreciating its stability and integration capabilities.
Cons
  • Users identify a steep learning curve for Teradata Autonomous Knowledge Platform, hindering new user adaptation and productivity.
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, especially for those less technically inclined.
  • Users find the complexity of the Teradata platform challenging, especially for non-technical users and new adopters.
  • Users struggle with the cost transparency of Teradata Autonomous Knowledge Platform, needing close management to avoid issues.
  • Users express concerns about the high cost of the Teradata Autonomous Knowledge Platform, highlighting affordability issues.

What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

TiDB

TiDB is an advanced open-source, distributed SQL database solution designed to help data-intensive businesses manage and scale their data operations seamlessly. Developed by PingCAP, TiDB combines the scalability of NoSQL databases with the full functionality of traditional relational database management systems (RDBMS). This unique architecture allows organizations to build petabyte-scale clusters while efficiently handling millions of tables, numerous concurrent connections, and frequent schema changes without experiencing downtime. The target audience for TiDB includes large enterprises, software-as-a-service (SaaS) providers, and digital-native companies that require robust data management capabilities. These organizations often face challenges related to data scalability, operational complexity, and the need for high availability. TiDB addresses these challenges by offering a solution that supports a wide range of workloads, including transactional, analytical, operational, and artificial intelligence (AI) tasks. Its multi-tenant architecture further enhances operational agility, allowing businesses to adapt to changing demands quickly. Key features of TiDB include seamless scalability, which enables organizations to expand their database infrastructure effortlessly as their data needs grow. The platform's MySQL compatibility ensures that developers can easily integrate TiDB into existing workflows and leverage familiar tools and platforms. Additionally, TiDB supports online DDL (Data Definition Language) operations, allowing for worry-free schema changes that do not disrupt ongoing processes. This operational flexibility is critical for businesses that require constant uptime and reliability. TiDB also prioritizes data security and availability, boasting built-in ACID (Atomicity, Consistency, Isolation, Durability) compliance and a remarkable 99.99% availability rate. The database adheres to various regulatory standards, including GDPR, SOC, HIPAA, and PCI, ensuring that organizations can trust their data management practices. Notable companies such as Databricks, Pinterest, and Plaid have adopted TiDB, allowing them to concentrate on growth and innovation rather than the complexities of data infrastructure management. With its AI-driven innovations and multi-cloud capabilities, TiDB stands out as a powerful solution for businesses looking to enhance their data management strategies. By providing unmatched agility, resilience, and security, TiDB empowers organizations to unlock their full potential in an increasingly data-driven world. For more information, please visit TiDB.io.

Average Rating: 4.6/5.0

Total Reviews: 66

How Do G2 Users Rate TiDB?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 9.0/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 9.3/10 (Category avg: 8.6/10)

Who Is the Company Behind TiDB?

  • Seller: PingCAP
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Sunnyvale
  • Twitter: @PingCAP
    7,268 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    507 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: DBA, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 32% Large, 27% Small

What Do G2 Reviewers Say About TiDB?

AI-generated summary from verified user reviews

Pros
  • Users value TiDB's seamless scalability, effortlessly managing increasing data and users while maintaining strong performance and consistency.
  • Users appreciate the ease of use of TiDB, benefiting from its simple implementation and smooth deployment.
  • Users highlight TiDB's horizontal scalability and strong consistency, making database management straightforward and efficient.
  • Users value the MySQL compatibility of TiDB, facilitating smooth adoption and seamless scaling as data grows.
  • Users value TiDB's high performance in handling vast data and executing analytical queries efficiently in real-time.
Cons
  • Users face a steep learning curve with TiDB's distributed architecture, complicating onboarding and performance tuning for newcomers.
  • Users experience performance issues with TiDB, particularly in vector search and resource requirements for testing and scaling.
  • Users notice slow performance in TiDB, especially in smaller deployments requiring excessive system resources for optimal use.
  • Users find the difficult learning curve of TiDB challenging, especially for teams transitioning from simpler database systems.
  • Users find TiDB's poor documentation challenging, complicating setup and usage for beginners and real-world applications.

What Are Recent G2 Reviews of TiDB?

InterSystems IRIS

InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes an Interoperability engine and modules to build AI solutions. InterSystems IRIS provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup.

Average Rating: 4.6/5.0

Total Reviews: 63

How Do G2 Users Rate InterSystems IRIS?

  • Ease of Use: 7.9/10 (Category avg: 8.5/10)
  • Workload Management: 9.1/10 (Category avg: 8.3/10)
  • Data Schema: 9.3/10 (Category avg: 8.6/10)
  • Query Language: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind InterSystems IRIS?

  • Seller: InterSystems
  • Year Founded: 1978
  • HQ Location: Cambridge, MA
  • Twitter: @InterSystems
    61,310 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,151 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Hospital & Health Care
  • Company Size: 46% Small, 34% Medium

What Do G2 Reviewers Say About InterSystems IRIS?

AI-generated summary from verified user reviews

Pros
  • Users value the powerful features and flexibility of InterSystems IRIS, enhancing overall performance and user experience.
  • Users find InterSystems IRIS to be very easy to use, with a clean interface and helpful documentation.
  • Users commend the excellent performance and resource efficiency of InterSystems IRIS, enhancing reliability and speed in data handling.
  • Users praise the excellent customer support from InterSystems IRIS, appreciating timely responses and helpful assistance.
  • Users value the easy integrations of InterSystems IRIS, enabling seamless connectivity with various systems and flexibility.
Cons
  • Users find the difficult learning curve of InterSystems IRIS challenging, particularly for those new to the platform.
  • Users note that IRIS is not cheap, with licensing costs and hardware requirements posing challenges for smaller projects.
  • Users find the insufficient documentation for advanced scenarios complicates learning and effective use of InterSystems IRIS.
  • Users find the learning curve steep, particularly with advanced features and complex configurations, which can hinder initial experiences.
  • Users find the poor documentation for advanced scenarios challenging, making it hard to navigate complex features.

What Are Recent G2 Reviews of InterSystems IRIS?

What Are G2 Users Discussing About InterSystems IRIS?

Knack

Knack is an AI-powered no-code platform for building custom, database-driven applications, internal tools, and portals. Businesses use Knack to create systems that manage data, automate workflows, and support day-to-day operations, all in one place. The platform combines a built-in relational database, AI app builder, customizable forms, and workflow automation. Users can define their data model, create user roles, and control access with granular permissions. Applications can be deployed as internal tools or external portals, and embedded into existing websites. Knack supports a wide range of use cases, including customer and vendor portals, custom CRMs, project and task management systems, inventory tracking, logistics and supply chain tools, membership and volunteer management, and government operations. Teams can start from scratch, from a template, or use AI to build fully custom applications tailored to their processes. Knack's healthcare-specific offering, Knack Health, allows organizations to build secure, HIPAA-compliant applications for patient intake, scheduling, care coordination, and operational workflows. The platform supports role-based permissions, record history logs, and secure data handling for protected health information (PHI), with a signed business associate agreement (BAA) available for covered entities. For more advanced use cases, developers can extend applications using a REST API, custom CSS, and JavaScript. Knack also supports integrations with 500+ third-party tools to fit into existing workflows. Knack is designed for flexibility and scale, making it a fit for SMBs, nonprofits, and enterprise teams that need systems tailored to how their business actually operates.

Average Rating: 4.3/5.0

Total Reviews: 112

How Do G2 Users Rate Knack?

  • Ease of Use: 8.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.5/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 7.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Knack?

  • Seller: Knack
  • Year Founded: 2010
  • HQ Location: New York, NY
  • Twitter: @knackhq
    1,923 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Construction, Information Technology and Services
  • Company Size: 57% Small, 31% Medium

What Do G2 Reviewers Say About Knack?

AI-generated summary from verified user reviews

Pros
  • Users value Knack for its user-friendliness, making it accessible even for those with basic coding knowledge.
  • Users love Knack's intuitive interface, making app development quick and easy without the complexities of Excel.
  • Users appreciate the quick responses from customer support, enhancing their overall experience with Knack.
  • Users find Knack's ease of learning impressive, enjoying intuitive design and quick onboarding support to get started.
  • Users value Knack's simplicity, finding it easy to configure and user-friendly for various tasks.
Cons
  • Users find the missing features like duplicate removal and user field limitations very challenging and frustrating.
  • Users find limited customization options in Knack, making it challenging to manage larger apps and enhance layouts.
  • Users find feature limitations in Knack, including issues with duplicate removal, page organization, and performance in advanced applications.
  • Users find the limited features of Knack hinder customization and integration with advanced analytics tools.
  • Users encounter feature issues with Knack, such as limited developer tools and inadequate filtering for page management.

What Are Recent G2 Reviews of Knack?

What Are G2 Users Discussing About Knack?

SQL Prompt

Redgate creates ingeniously simple software to help data professionals get the most value out of any database, anywhere, through the provision of end-to-end Database DevOps. More than 200,000 people globally, including 92% of the Fortune 100, trust Redgate to deliver ingeniously simple software. Writing and formatting SQL code by hand, even with IntelliSense, is frankly pretty dull. So we made SQL Prompt, which isn't. Available as an add-in for SQL Server Management Studio and Visual Studio, SQL Prompt strips away the repetition of coding. As well as autocompleting your code, SQL Prompt takes care of formatting, object renaming, and other distractions, so you can concentrate on how the code actually works. Whether you need to write, refactor, or explore database code, find out how SQL Promp

Average Rating: 4.7/5.0

Total Reviews: 22

How Do G2 Users Rate SQL Prompt?

  • Ease of Use: 9.6/10 (Category avg: 8.5/10)
  • Workload Management: 9.2/10 (Category avg: 8.3/10)
  • Data Schema: 9.8/10 (Category avg: 8.6/10)
  • Query Language: 9.8/10 (Category avg: 8.6/10)

Who Is the Company Behind SQL Prompt?

  • Seller: Redgate Software
  • Year Founded: 1999
  • HQ Location: Cambridge, United Kingdom
  • Twitter: @redgate
    16,100 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    555 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Large, 27% Small

What Do G2 Reviewers Say About SQL Prompt?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the time-saving features of SQL Prompt, finding it essential for efficient SQL development.
  • Users find SQL Prompt incredibly easy to use, greatly enhancing their workflow and saving time on tasks.
  • Users love the super-fast autocomplete of SQL Prompt, significantly enhancing their coding efficiency and experience.
  • Users value the seamless integration with SSMS, meeting DBA expectations effectively and enhancing their workflow.
  • Users love the super-fast query speed of SQL Prompt, enhancing their SQL Server experience significantly.
Cons
  • Users find the complex configuration process burdensome, especially when installing SQL Prompt on new computers.
  • Users find the difficult setup of SQL Prompt to be frustrating, especially when re-configuring or installing on new computers.
  • Users experience difficulties with SQL upgrades, reporting crashes after upgrading to SQL 2022 that need better management.
  • Users report upgrade issues with SQL Prompt, citing crashes after upgrading to SQL 2022, necessitating better handling.

What Are Recent G2 Reviews of SQL Prompt?

MariaDB

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: 221

How Do G2 Users Rate MariaDB?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.4/10 (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 MariaDB?

  • Seller: MariaDB
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Espoo, Finland
  • Twitter: @mariadb
    452,246 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    400 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Small, 32% Medium

What Do G2 Reviewers Say About MariaDB?

AI-generated summary from verified user reviews

Pros
  • Users find MariaDB to be easy to use, enhancing integration with various platforms and overall performance.
  • Users appreciate the easy integrations of MariaDB, allowing seamless connectivity with different platforms and systems.
  • Users value the easy backup capabilities of MariaDB, enhancing their data management and security processes seamlessly.
  • Users value the superior execution speed of MariaDB, especially when compared to MySQL, enhancing overall efficiency.
  • Users value the cost efficiency of MariaDB, enjoying its free access and high-performance features.
Cons
  • Users find MariaDB's beginner unfriendliness challenging initially due to its CLI interface, but improve with daily use.
  • Users struggle with connectivity issues in MariaDB, often facing integration failures without clear bug identification.
  • New users often face difficult learning curves with MariaDB's CLI, impacting their initial experience despite its eventual usability.
  • Users experience integration failures in MariaDB, often unable to diagnose the underlying issues effectively.
  • Users note feature limitations and initial discomfort with CLI, but find it better with daily use.

What Are Recent G2 Reviews of MariaDB?

What Are G2 Users Discussing About MariaDB?

IBM Informix

• Harness data with broad functionality and unlimited scalability. IBM Informix is a secure embeddable database, optimized for OLTP and Internet of Things (IoT) data. Informix has the unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data. Everyone from developers to global enterprises can benefit from its reliability, flexibility, ease of use and low total cost of ownership. • Optimize business decisions Perform analytics close to data sources to enhance local decision making. Access business intelligence faster with enhanced integration with various tools and applications. • Eliminate downtime Ensure always-on operations across your grid environment. Upgrade, maintain and configure the grid with no downtime. Successfully meet service-level agreements. • Improve development agility Support both structured and unstructured data with a hybrid database system for enhanced flexibility and easier development. • IBM Informix is available on-premise and on the IBM Cloud. IBM Informix on Cloud offers the complete feature set of on-premises Informix deployments. Run your OLTP queries and workloads on an optimized instance and use the Informix warehouse accelerator to configure in-memory query acceleration for predictive analytics. Get the benefits of Informix without the cost, complexity and risk of managing your own infrastructure. IBM Informix V14.10 enhances all editions, bringing improvements to performance, security, administration, and core database capabilities including support for online transaction processing (OLTP) and replication workloads, timeseries and spatial data. Discover why many of the world’s most innovative companies depend on IBM Informix.

Average Rating: 4.5/5.0

Total Reviews: 92

How Do G2 Users Rate IBM Informix?

  • Ease of Use: 9.1/10 (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: 9.1/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM Informix?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 32% Medium

What Are Recent G2 Reviews of IBM Informix?

What Are G2 Users Discussing About IBM Informix?

CockroachDB

Overview Cockroach Labs is the creator of CockroachDB, the cloud-native, resilient, distributed SQL database enterprises worldwide trust to run mission-critical AI and other applications that scale fast, avert and survive disaster, and thrive everywhere. It runs on the Big 3 clouds, on prem, and in hybrid configurations powering Fortune 500, Forbes Global 2000, and Inc. 5000 brands, and game-changing innovators, including OpenAI, CoreWeave, Adobe, NETFLIX, Booking.com, DoorDash, FANDUEL, Cisco Systems, P&G, UiPath, FORTINET, Roblox, EA, BestBuy, SpaceX, NVIDIA, The VA, Squarespace, The Home Depot, and Hewlett Packard Enterprise. Cockroach Labs has customers in 40+ countries across all world regions, 25+ verticals, and 50+ Use Cases. Cockroach Labs operates its own ISV Partner Ecosystem powering Payments, Identity Management (IDM/IAM), Banking & Wallet, Trading, and other high-demand use cases. Cockroach Labs is an AWS Partner of the Year finalist and has achieved AWS Competency Partner certifications in Data & Analytics and Financial Services (FSI). CockroachDB pricing is available at https://www.cockroachlabs.com/pricing/ Vector, RAG, and GenAI Workloads CockroachDB includes native support for the VECTOR data type and pgvector API compatibility, enabling storage and retrieval of high-dimensional embeddings. These vector capabilities are critical for Retrieval-Augmented Generation (RAG) pipelines and GenAI workloads that rely on similarity search and contextual embeddings. By supporting distributed vector indexing within the database itself, CockroachDB removes the need for external vector stores and allows AI applications to operate against a single, consistent data layer. C-SPANN Distributed Indexing At the core of CockroachDB’s vector search capabilities is the C-SPANN indexing engine. C-SPANN provides scalable approximate nearest neighbor (ANN) search across billions of vectors while supporting incremental updates, real-time writes, and partitioned indexing. This ensures low-latency retrieval in the tens of milliseconds, even under high query throughput. The algorithm eliminates central coordinators, avoids large in-memory structures, and leverages CockroachDB’s sharding and replication to deliver scale, resilience, and global consistency. Machine Learning and Apache Spark Integration CockroachDB integrates with modern ML workflows by supporting embeddings generated through frameworks such as AWS Bedrock and Google Vertex AI. Its compatibility with the PostgreSQL JDBC driver allows seamless integration with Apache Spark, enabling distributed processing and advanced analytics on CockroachDB data. PostgreSQL Compatibility and JSON Support CockroachDB speaks the PostgreSQL wire protocol, so applications, drivers, and tools designed to work with Postgres can connect to CockroachDB without modification, enabling seamless use of familiar SQL features and integration with the wider Postgres ecosystem. This includes support for advanced data types such as JSON and JSONB, which allow developers to store and query semi-structured data natively. Geospatial and Graph Capabilities CockroachDB also provides first-class geospatial data support, allowing developers to store, query, and analyze spatial data directly in SQL. For graph workloads, CockroachDB employs JSON flexibility to represent relationships and delivers query capabilities for graph-like traversals. This combination enables hybrid applications that merge relational, geospatial, document, and graph data within a single platform. Analytics, BI, and Integration To support high-performance analytics and BI, CockroachDB supports core analytical use cases and functions including Enterprise Data Warehouse, Lakehouse, and Event Analytics, and offers materialized views for precomputing complex joins and aggregations. Its PostgreSQL wire compatibility ensures direct connectivity with all relevant BI and analytics apps and tools including Amazon Redshift, Snowflake, Kafka, Google BigQuery, Salesforce Tableau, Databricks, Cognos, Looker, Grafana, Power BI, Qlik Sense, SAP, SAS, Sisense, and TIBCO Spotfire. Data scientists can interact with CockroachDB through Jupyter Notebooks, querying structured and semi-structured data and loading results for analysis. Change data capture (CDC) streams provide real-time updates to analytics pipelines and feature stores, keeping downstream systems fresh and reliable. Columnar vectorized execution accelerates query processing, optimizes transactional throughput, and minimizes latency for demanding distributed workloads. MOLT AI-Powered Migration Organizations often know their data infrastructure is not supporting the business, but find it too painful to change. CockroachDB’s MOLT (Migrate Off Legacy Technology) is designed to enable safe, minimal-downtime database migrations from legacy systems to CockroachDB. MOLT Fetch supports data migration from PostgreSQL, MySQL, SQL Server, and Oracle, with SQL Server and DB2 coming soon. CockroachDB also has a portfolio of data replication platform integrations including Precisely, Striim, Qlik, Confluent, IBM, etc. Together, these capabilities ensure that CockroachDB supports both operational and analytical workloads, bridging traditional SQL applications with emerging Gen AI and ML use cases.

Average Rating: 4.3/5.0

Total Reviews: 27

How Do G2 Users Rate CockroachDB?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.1/10 (Category avg: 8.3/10)
  • Data Schema: 8.1/10 (Category avg: 8.6/10)
  • Query Language: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind CockroachDB?

  • Seller: Cockroach Labs
  • Year Founded: 2015
  • HQ Location: New York, NY
  • Twitter: @CockroachDB
    13,571 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    724 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 55% Small, 34% Medium

What Do G2 Reviewers Say About CockroachDB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of management and reliability of CockroachDB, enabling them to focus on development without disruptions.
  • Users value the ease of use of CockroachDB, enjoying its straightforward SQL implementation and seamless scalability.
  • Users highlight CockroachDB's seamless performance and automatic scalability, ensuring reliable data management without operational headaches.
  • Users appreciate the scalability of CockroachDB, enabling seamless management of distributed databases across multiple locations.
  • Users value the automatic scaling and reliability of CockroachDB, making big data management effortless and efficient.
Cons
  • Users find the learning curve steep for CockroachDB, especially regarding configuration and understanding its unique operational aspects.
  • Users find CockroachDB's setup and configuration to have a steep complexity for beginners, impacting overall user experience.
  • Users find the difficult learning curve of CockroachDB challenging, especially for beginners trying to optimize configuration.
  • Users face feature limitations in CockroachDB due to a steep learning curve and less mature advanced functionalities.
  • Users note the complexity and steep learning curve of CockroachDB, which may hinder optimal configuration and understanding.

What Are Recent G2 Reviews of CockroachDB?

What Are G2 Users Discussing About CockroachDB?

SingleStore

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

Average Rating: 4.5/5.0

Total Reviews: 114

How Do G2 Users Rate SingleStore?

  • Ease of Use: 8.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.8/10 (Category avg: 8.3/10)
  • Data Schema: 9.3/10 (Category avg: 8.6/10)
  • Query Language: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind SingleStore?

  • Seller: SingleStore
  • Year Founded: 2011
  • HQ Location: San Francisco, CA
  • Twitter: @SingleStoreDB
    15,447 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    551 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Large, 37% Small

What Are Recent G2 Reviews of SingleStore?

What Are G2 Users Discussing About SingleStore?

Stackby

Stackby is a no-code work management platform that brings the best of spreadsheets and databases to enable anyone to create their own collaborative workflows for their teams. No-coding or training needed. Stackby merges spreadsheet functionalities with the capabilities of a relational database, offering search, filtering, grouping and sorting options, as well as the ability to generate custom forms and views. It is designed for teams of any size from one to over 1000, making it scalable for fast growing startups. It also has 500+ templates across Marketing, Sales, HR, Project Management, Startups and more. Over 50,000 companies globally use Stackby to manage their data and automate their processes, in amazing ways.

Average Rating: 4.6/5.0

Total Reviews: 83

How Do G2 Users Rate Stackby?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 10.0/10 (Category avg: 8.3/10)
  • Data Schema: 10.0/10 (Category avg: 8.6/10)
  • Query Language: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Stackby?

  • Seller: Relytree Inc.
  • Year Founded: 2018
  • HQ Location: San Francisco (and vicinity), California
  • Twitter: @StackbyHQ
    1,050 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Marketing and Advertising, Management Consulting
  • Company Size: 91% Small, 6% Medium

What Do G2 Reviewers Say About Stackby?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Stackby, enabling smooth workflow customization without technical expertise.
  • Users value the high level of customization in Stackby, enabling tailored workflows and efficient operations without technical skills.
  • Users love the flexibility of Stackby, combining spreadsheets and databases for customized, powerful workflow solutions.
  • Users love the automation feature in Stackby, enhancing workflow efficiency and supporting non-technical users effectively.
  • Users appreciate the customizability of Stackby, allowing effortless creation of tailored workflows and templates for various needs.
Cons
  • Users find Stackby has limited advanced features compared to Airtable or Notion, affecting workflow efficiency.
  • Users find missing advanced features in Stackby compared to Airtable or Notion, limiting their workflow capabilities.
  • Users find feature limitations in Stackby, especially compared to competitors like Airtable, impacting their workflows and experience.
  • Users notice integration issues, as Stackby lacks automation and deeper connections with popular tools compared to competitors.
  • Users find the limited advanced features in Stackby compared to Airtable or Notion somewhat restricting for power users.

What Are Recent G2 Reviews of Stackby?

What Are G2 Users Discussing About Stackby?

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