Top Free Relational Databases - Page 3

Supabase adds realtime and restful APIs to Postgres without a single line of code.

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.

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.

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.

QuintaDB is a powerful low-code platform to configure and automate business workflows. Collect, manage, analyze data in reports and integrate custom applications with minimal steps. Control your multiplatform apps from anywhere, at any time on PC, Android or iOS devices. The service is easy to use and doesn't require special knowledge and installation of additional software. Automate your business processes, manage, visualize and share your data into your custom applications.

Tessell is a cloud-native Database-as-a-Service (DBaaS) that functions seamlessly on both AWS and Azure. Tessell offers policy-driven self-service access, DevOps integration, production monitoring, lifecycle and user-friendly cloud management features to customers using PostgreSQL, MySQL, MS SQL Server, and Oracle database engines. With Tessell, users can enjoy these benefits without the hassle of deploying and maintaining the underlying infrastructure. Additionally, Tessell leverages the high-performance storage capabilities of the cloud to handle demanding production workloads effectively and maximize the economic advantages of database consolidation.

Yellowbrick is a high-performance, cloud-native data platform designed for hybrid multi-cloud and on-premises environments. It supports a wide variety of workloads, including traditional data warehousing, real-time streaming analytics, application analytics, and AI/ML workloads. Yellowbrick's architecture leverages the power of Kubernetes to deliver scalability, elasticity, and operational simplicity through SQL or a web interface, abstracting any user Kubernetes management. It provides unmatched speed and efficiency in SQL analytics, powered by the Direct Data Accelerator® and supports simultaneous querying and data loading with no impact on performance.

dbForge Source Control is a powerful SSMS add-in for managing SQL Server database changes in version control systems. The tool allows version-controlling schemas and reference data, roll back changes, and maintain the referential integrity of your SQL databases. The tool can also solve other database challenges, including deployment without losing data. Supports SQL Server 2022. Features - Source-control databases: shared vs dedicated database development model - Version-control a SQL database working folder - Manage database changes - Resolve conflicts - Version-control static data - Undo uncommitted changes - Track database changes - Automate database development with the DevOps approach

Our real-time analytics database, built from Apache Druid, enables developers to build the next generation of analytics applications. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics. Imply delivers the complete developer experience for Apache Druid. Founded by its original creators, Imply adds to the speed and scale of the database with committer-driven expertise, effortless operations, and cloud deployment to meet developers’ application requirements with ease. Backed by leading investors including Thoma Bravo, a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory - disrupting the $100B database market - with customers including Twitter, Salesforce, Atlassian, Reddit, and Intercontinental Exchange.

Infobright DB's high performance analytic database is designed for analyzing large volumes of machine-generated data

NuoDB is a distributed SQL database company that helps enterprise organizations solve the highly complex database challenges they face when trying to move enterprise-grade workloads to the cloud. For technical organizations adopting a cloud-first strategy and architecting for integrations with container-native, microservice-based environments, NuoDB is the only enterprise-ready SQL database solution that offers the same on-demand scalability as the cloud. NuoDB ensures that mission critical, SQL dependent applications are capable of maximizing performance by providing a distributed, continuously available, container-native solution. NuoDB is platform agnostic, capable of running in public clouds, private clouds, and on-premise. Through a robust, stand-alone platform or through integrations with Red Hat, Dassault Systems, and Temenos, NuoDB is already helping the most digitally advanced enterprise organizations achieve a data management architecture that extends the competitive advantages gained by cloud adoption.

dbForge Data Pump is an SSMS add-in for filling SQL databases with external source data and migrating data between systems. The tool supports import and export from 10+ widely used data formats (Text, MS Excel, XML, CSV, JSON etc.) and includes a number of advanced options and templates for recurring scenarios. Supports SQL Server 2022. Features Data Export: - Exporting rows - Errors handling - Saving export templates - Export from the command line - SQL export to 14 commonly used format - Selected data to be exported - Output settings - Customizable view - Configurable data format Data import: - Data import output - Import errors handling - Saving import templates - Import from the command line - SQL import from 9 widely used format - Import to a new table - Customizable import option - Configurable data format - Mapping options - Data import modes Data Import

dbForge Index Manager is a handy SSMS add-in for analyzing the status of SQL indexes and fixing issues with index fragmentation. Supports SQL Server 2022. The tool allows you to quickly collect index fragmentation statistics and detect databases that require maintenance. You can instantly rebuild and reorganize SQL indexes in visual mode or generate SQL script for the future use. dbForge Index Manager for SQL Server will significantly boost SQL Server performance without much effort! Features: - Script Generation - Routine Task Automation - Multiple Databases Scan - Maintenance Recommendations - Exporting Scan Results - Customizable Index Fragmentation Thresholds

An intuitive and convenient GUI for implementing automated unit testing in SQL Server Management Studio. dbForge SQL unit testing tool is based on the open-source tSQLt framework, so SQL developers can now benefit from writing unit tests in regular T-SQL. dbForge Unit Test functionality allows you to develop stable and reliable code that can be properly regression tested at the unit level. Supports SQL Server 2022. Features: - Customizable unit tests - Direct test execution - Access from Object Explorer - tSQLt management - Unit tests in T-SQL - Predefined unit tests - Test class management - CLI-powered test automation - Unit Test as part of your DevOps

dotConnect for SQLite is a high-end ADO.NET data provider that helps software developers implement easy access to SQLite databases in their applications. Our data provider allows integrating SQLite with .NET-based data-related technologies. It helps build all kinds of SQLite .NET applications and fully supports a wide range of SQLite-specific features, such as user-defined functions, CEROD, SQLiteCrypt, SQLite Encryption Extension (SEE), and others. - Broad compatibility with .NET platforms, including WPF, Blazor, MAUI, Windows Forms, etc. - ORM support: EF Core, Dapper, NHibernate, LinqConnect, etc. - Full compliance with ADO.NET - Advanced encryption methods - Integration with Visual Studio and design-time support - Regular updates and detailed documentation