Best Database Software for GitHub

Access and access management today have become more complex and frustrating. strongDM redesigns access around the people who need it, making it incredibly simple and usable while ensuring total security and compliance. We call it People-First Access. End users enjoy fast, intuitive, and auditable access to the resources they need. Administrators gain precise controls, eliminating unauthorized and excessive access permissions. IT, Security, DevOps, and Compliance teams can easily answer who did what, where, and when with comprehensive audit logs. It seamlessly and securely integrates with every environment and protocol your team needs, with responsive 24/7 support.

Google Cloud Platform (GCP) provides a range of managed database solutions, such as Cloud SQL, Cloud Spanner, and Cloud Firestore, tailored to meet diverse application requirements. These offerings streamline database administration while ensuring high levels of availability, scalability, and security. New users are welcomed with $300 in free credits, which they can use to explore, test, and deploy various workloads, facilitating an evaluation of how GCP's database services can fulfill their data storage and querying needs. GCP's database offerings are seamlessly integrated with other services, including BigQuery and Google Cloud Storage, fostering efficient data analytics processes. Additionally, businesses can opt for either relational or NoSQL databases, enabling them to choose the most suitable option for their unique use cases. The platform's automated scaling and management capabilities minimize operational burdens, allowing organizations to concentrate on application development instead of infrastructure management.

Manage your projects in a manner that suits you best using Airtable. This versatile collaboration tool merges the capabilities of a relational database with the straightforwardness of a spreadsheet, offering a seamless experience. It is compatible across various platforms and devices, ensuring that data is synchronized instantly. Users have the option to display their tasks through a variety of formats, such as grid, calendar, Kanban, gallery, or forms, making it easier to visualize their workflow. With its intuitive interface, Airtable enables teams to enhance productivity while maintaining organization.

Not a coder? Not a problem. Kintone's visual application builder lets you drag and drop your way to custom enterprise apps that do exactly what you need. You can start from scratch or customize a pre-built app template. Collaborate with your team to build, test, and improve your app until you find your perfect workflow process.

The easiest cloud platform for developers and teams. DigitalOcean makes it easy to deploy, manage, and scale cloud apps faster and more efficiently. DigitalOcean makes it easy to manage infrastructure for businesses and teams, no matter how many virtual machines you have. DigitalOcean App Platform: Create, deploy, scale and scale apps quickly with a fully managed solution. We will manage the infrastructure, dependencies, and app runtimes so you can quickly push code to production. You can quickly build, deploy, manage, scale, and scale apps using a simple, intuitive, visually rich experience. Apps are automatically secured We manage, renew, and create SSL certificates for you. We also protect your apps against DDoS attacks. We help you focus on the important things: creating amazing apps. We can manage infrastructure, databases, operating systems, applications, runtimes, and other dependencies.

Xano offers a fully-managed, scaleable infrastructure that powers your backend. You can also quickly create the business logic that powers your backend with Xano without writing a single line or use one our pre-made templates to launch quickly and without compromising security or scale. You can quickly create custom API endpoints with just one line of code. Our out-of-the box CRUD operations, Marketplace extensions and templates will accelerate your time to market. Your API is "ready-to use" so you can connect to any frontend immediately and concentrate on your business logic. Swagger automatically documents everything so that you can connect to any frontend easily. Xano uses PostgreSQL, which offers the flexibility of a relational and the Big data needs that a NoSQL solution. You can add features to your backend with just a few clicks. Or, you can use pre-made templates and extensions to jumpstart the project.

StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://sourceforge.net/projects/prometheus.mirror/

One area that has not benefited as much from DevOps is the database change process. It is time to bring CI/CD into the database. In the last few years, application release technology has advanced significantly. It used to take weeks, if not months, to release new software. Organizations have changed their workflows and processes so that it takes just days or even hours to release new software. Every software project must perform database schema migrations. There are many reasons why database updates are necessary. New features may require the addition of new attributes to existing tables, or completely new tables. Bug fixes can lead to changes in the names and data types of the database. Additional indexes may be required to address performance issues. Manual rework is still common in DevOps-adopted organizations when it comes to stored procedure and database schema changes.

Streamline the deployment processes for SQL Server, Oracle, and an additional 18 databases to enhance both the frequency and reliability of updates. This adaptable toolchain promotes seamless integration across various teams, allowing for rapid identification of errors while accelerating development through Continuous Integration. Gain comprehensive oversight of every modification made to your databases. Redgate Deploy empowers your teams to automate database development workflows, accelerating software delivery while maintaining high-quality code. By enhancing your existing continuous delivery framework for applications and leveraging Redgate’s premier tools alongside the Flyway migrations framework, Redgate Deploy effectively integrates DevOps practices into database management. Additionally, automate your database change deployments to facilitate quicker updates through your pipeline. To ensure both quality and uniformity, Redgate Deploy offers processes that can be consistently replicated at every phase, from version control right through to live deployment, ultimately fostering a more efficient development environment. With these capabilities, teams can focus on innovation while minimizing the risks associated with database changes.

dbForge Source Control for SQL Server is a robust add-in for SQL Server Management Studio (SSMS) that integrates version control into the familiar interface. It streamlines database change management across your team, ensuring a consistent software environment. Key Features: - Extensive Source Control System Support: Compatible with Git (and GitHub), - - Perforce (P4), Mercurial, SourceGear Vault, Subversion (SVN), and more. - Simplified Database Linking: Use dedicated wizards to easily link databases to source control systems. - Development Workflow Support: Accommodates both shared and dedicated development workflows. - Visual Source Control Management: Easily commit changes, roll back modifications, and resolve conflicts visually. - Enhanced Commit Functions: Include comments and highlight differences for better clarity. - Change History Access: Review the history of changes at any time. The user-friendly interface of dbForge Source Control ensures quick adoption and allows users to perform essential tasks directly within SSMS. This integration enhances processes, aiding database developers and managers in implementing effective DevOps practices for more efficient and accurate product delivery.

Prioritize application innovation rather than database oversight by utilizing the fully managed and intelligent Azure Database for PostgreSQL service. Effortlessly scale your workloads while maintaining confidence in performance. Benefit from remarkable high availability, guaranteed by a service-level agreement (SLA) that promises up to 99.99 percent uptime, and select between same-zone or zone-redundant high availability options, coupled with AI-driven performance insights and robust enterprise security features. Concentrate on application development with a PostgreSQL database offered as a managed service. The zone-redundant high availability feature streamlines maintenance, patching, and updates for your convenience. Set up your database in mere minutes and adjust compute or storage resources independently as needed. Reduce expenses with extensive database monitoring and optimization resources that ensure efficiency. Leverage intelligent performance recommendations to maintain optimal application functionality. Seamlessly migrate your data using a fully managed PostgreSQL database that supports the latest versions and technologies. Moreover, enhance your projects with popular PostgreSQL extensions, including Cron, PostGIS, PLV8, and more, to unlock a wider range of functionalities.

When PostgreSQL serves as the foundation of your enterprise and is a key data source, PeerDB offers an efficient, straightforward, and economical solution for replicating data from PostgreSQL to data warehouses, queues, and storage systems. It is engineered to function seamlessly at any scale and is specifically adapted for various data repositories. By utilizing replication messages sourced from the PostgreSQL replication slot, PeerDB adeptly replays schema updates while providing alerts for slot growth and active connections. It also includes native support for PostgreSQL toast columns and large JSONB columns, making it particularly advantageous for IoT applications. The platform features an optimized query architecture aimed at minimizing warehouse expenditures, which is especially beneficial for users of Snowflake and BigQuery. Additionally, it accommodates partitioned tables through both publication mechanisms. PeerDB ensures rapid and reliable initial data loads via transaction snapshotting and CTID scanning techniques. With features such as high availability, in-place upgrades, autoscaling, advanced logging, comprehensive metrics, and monitoring dashboards, as well as burstable instance types, it is also well-suited for development environments. Overall, PeerDB stands out as a versatile tool that effectively meets the diverse needs of modern data management.

Tembo is an intelligent AI teammate that automates engineering workflows by handling error detection, code crafting, and database optimization so developers can focus on building new features. It continuously monitors production systems and automatically converts errors into pull requests, streamlining the debugging process without manual intervention. Tembo also enhances database performance by finding and fixing slow queries and missing indexes in PostgreSQL and Supabase environments. Through integrations with popular platforms like GitHub, GitLab, Jira, and Linear, Tembo transforms tickets and error logs into working code, accelerating sprint planning and issue resolution. Its code explorer analyzes your entire codebase to identify technical debt, security vulnerabilities, and refactoring opportunities, helping maintain code quality. Upcoming features include backlog prioritization and personalized solutions that align with your team’s culture and practices. Users report significant gains in engineering velocity and productivity after adopting Tembo. Setting up the platform is quick and easy, enabling teams to automate routine tasks within minutes.

Say goodbye to chaotic spreadsheets with user-friendly databases. Stackby combines the ease of spreadsheets with the robust functionality of databases, along with seamless integrations to leading business APIs, allowing you to tailor your work tools to suit your needs. There's no need for coding or technical expertise—it's as straightforward as using a spreadsheet, yet you can transform it into a dynamic relational database that your team will appreciate. Whether you want to import data from Excel or Google Sheets or create a unique template, you can do so in just a few minutes. With more than 25 distinctive column data types, six different data views, an array of powerups, a marketplace for apps, and continually expanding features, Stackby enables you to develop custom no-code solutions that accelerate your team's productivity. Explore valuable powerups, create personalized reporting dashboards, and enhance your workflows with versatile building blocks designed to help your team achieve new goals. Embrace the power of customization and watch your productivity soar.

Launch a backend in under two minutes by starting with a Postgres database that includes features like authentication, instant APIs, real-time subscriptions, and storage capabilities. Accelerate your development process and direct your efforts toward enhancing your products. Each project utilizes a complete Postgres database, recognized globally as a reliable relational database. Implement user sign-ups and logins while ensuring data security through Row Level Security measures. Facilitate the storage, organization, and serving of large files, accommodating various media types such as videos and images. Customize your code and set up cron jobs seamlessly without the need to deploy or manage scaling servers. There are numerous example applications and starter projects available to help you get started quickly. The platform automatically introspects your database to generate APIs instantly, allowing you to avoid the tedious task of creating repetitive CRUD endpoints and concentrate on your product's development. Type definitions are automatically created from your database schema, enabling a more streamlined coding experience. You can also use Supabase directly in your browser without a complicated build process, and develop locally before deploying to production at your convenience. Manage your Supabase projects effectively right from your local machine, ensuring a smooth and efficient workflow throughout your development journey.

Bytebase provides a collaborative online platform designed for DBAs and developers to effectively oversee the database development lifecycle. It allows users to standardize database modifications through peer reviews, linting rules, and integration with GitOps. With its web-based IDE, users can execute ad-hoc SQL queries while ensuring data privacy is maintained. By simplifying administrative tasks and ensuring comprehensive policy control, Bytebase promotes compliance across all operations. The platform enhances the deployment process by facilitating database changes from non-production to production environments through a structured review workflow and optional GitOps integration. It features over 100 lint rules aimed at identifying SQL anti-patterns and promoting a consistent SQL style throughout the organization. Users can also batch change multiple databases across various environments and tenants within a single ticket, streamlining the process further. Developers can leverage existing workflows and manage change scripts using version control systems. Bytebase's lockless schema change feature significantly reduces database downtime, cutting it down from hours to mere seconds. Furthermore, Bytebase adopts a proactive security strategy, safeguarding your data through measures such as access control, data anonymization, watermarking, and detailed audit logging, ensuring a robust defense against potential threats. This combination of features not only enhances productivity but also fortifies the overall integrity of database management practices.

ProxySQL is engineered with a sophisticated multi-core framework that can handle hundreds of thousands of simultaneous connections while efficiently multiplexing them across numerous servers. It offers sharding capabilities based on user, schema, or table through its sophisticated query rule engine or customizable plugins. The development team is relieved from the need to alter queries generated by Object-Relational Mappers (ORMs) or packaged applications, as ProxySQL's dynamic query rewriting feature can adjust SQL statements as needed. The term "battle-tested" barely captures its resilience; ProxySQL has proven itself in the most demanding conditions. With performance as its core focus, the metrics speak for themselves. As an open-source, high-performance, and highly available proxy for MySQL and PostgreSQL, ProxySQL serves as a powerful SQL proxy solution, acting as a crucial intermediary between database clients and servers. This extensive array of features is designed to enhance and simplify database operations, ultimately allowing organizations to maximize their database infrastructure's effectiveness. The capabilities of ProxySQL ensure that organizations can achieve unparalleled efficiency and reliability in their database management tasks.

Olive is a cutting-edge platform that enables teams to create comprehensive internal tools and dashboards in just minutes by articulating their requirements in everyday language. It establishes secure connections to various databases, including PostgreSQL, MySQL, and MongoDB, as well as third-party applications such as CRMs and analytics services. By analyzing the database schema, Olive automatically generates essential queries and application code, ultimately providing a sleek, responsive web interface that features components for data listing, filtering, editing, and visualization. Users can effortlessly create admin panels, CRM functionalities, support systems, inventory management solutions, or any tailored workflows without needing to write code manually. Collaboration is made easy with features like organizational workspaces, role-based access controls, and single sign-on capabilities. The platform's progressive web app design ensures that users enjoy mobile-friendly interactions and can access tools even offline. Additionally, an extensible API, along with prompt-engineering support, facilitates advanced customization and seamless integration into existing continuous integration and continuous deployment pipelines. With Olive, teams can streamline their operations and enhance productivity like never before.

SchemaFlow is an innovative tool aimed at advancing AI-driven development by granting real-time access to PostgreSQL database schemas through the Model Context Protocol (MCP). It empowers developers to link their databases, visualize schema layouts using interactive diagrams, and export schemas in multiple formats including JSON, Markdown, SQL, and Mermaid. Featuring native MCP support via Server-Sent Events (SSE), SchemaFlow facilitates smooth integration with AI-Integrated Development Environments (AI-IDEs) such as Cursor, Windsurf, and VS Code, thereby ensuring that AI assistants are equipped with the latest schema data for precise code generation. Furthermore, it includes secure token-based authentication for MCP connections, automatic schema updates to keep AI assistants aware of modifications, and a user-friendly schema browser for effortless exploration of tables and their interrelations. By providing these features, SchemaFlow significantly enhances the efficiency of development processes while ensuring that AI tools operate with the most current database information available.