Find the best open source databases to power your applications. Explore powerful, flexible solutions for data storage, management & retrieval.
Databases · Low Code Platforms
API-first low-code platform with real-time collaboration and 6,000+ app integrations
Databases · Developer Tools
Fast, stable Redis GUI with cluster, SSH, and massive key support
AI Assistants · No Code Platforms · Databases
Open source Airtable alternative with AI, automations & self-hosting
Analytics · Databases
Build live dashboards from APIs & databases with AI-powered insights and embeddable reports
Databases · Analytics · Search
Blazing-fast open-source OLAP database for real-time analytics and AI
Databases · Developer Tools
Reactive database for live apps with pure TypeScript
Databases · Devops
Free PaaS to turn bare metal into a Kubernetes-powered cloud
Analytics · Databases · Search
Enterprise Data Warehouse for AI Agents with Vector & SQL Orchestration
Databases · Data Engineering · Developer Tools
Free browser-based ERD editor with SQL generation and migration support
Databases · Developer Tools
A truly Open Source MongoDB alternative built on PostgreSQL
File Storage · Search · Databases
Private cloud storage with AI semantic search and pluggable storage backends
Low Code Platforms · Databases
The modern relational spreadsheet that combines database power with spreadsheet simplicity.
Databases · Analytics
Scalable time-series database for real-time metrics and analytics
Developer Tools · Databases · AI Assistants
Reactive Python notebooks with SQL, AI, and Git-friendly execution
Developer Tools · Databases
Spreadsheet-like UI for PostgreSQL databases — self-hosted, no code needed
Invoicing Finance · Databases · Authentication
Self-hostable personal finance app built with Ruby on Rails and Hotwire
Search · Databases
Lightning-fast hybrid search engine with AI-powered retrieval for apps and websites
Analytics · Invoicing Finance · Databases
The AI Workspace for Finance: Connect Data, Run AI Agents, Build Analytics
Search · Databases
Full-text, vector, and hybrid search in under 2KB
Developer Tools · Databases
Open-source BaaS for Node.js with GraphQL, REST, and real-time data
Databases · Ecommerce · Authentication
Open Source Realtime Backend in 1 File
AI Assistants · Databases · Analytics
Run ML/AI and LLMs directly inside PostgreSQL with GPU acceleration
Search · Databases
High-performance vector search engine for AI applications
Low Code Platforms · Developer Tools · Databases
Low-code backend for Firebase & GCP with spreadsheet UI and cloud functions
CMS · Blogging · Databases
Open-source, real-time CMS with structured content and AI-powered operations
Databases · Search
Lightweight, schema-less search backend in Rust — 30MB RAM, microsecond responses
Developer Tools · Databases · Authentication
The open-source Firebase alternative built on Postgres
Search · Databases · Data Engineering
AI Search & RAG Without Moving Your Data
AI Assistants · Search · Databases
All-in-one search, recommendations, and RAG platform with hybrid vector search
Search · Databases · Developer Tools
Open Source Algolia + Pinecone Alternative with Blazing-Fast Search
No Code Platforms · Databases
Open Source Airtable Alternative & Self-Hosted BaaS
Search · Databases · Data Engineering
Open-source vector database for semantic, hybrid, and image search at scale
Databases are fundamental to nearly all modern software applications, acting as the organized storage for information that powers dynamic functionality. These systems allow developers to store, manage, and retrieve data efficiently, ensuring data integrity and consistency.
Typical features found in open source database solutions include:
Open source databases are critical for a range of applications, including web application backends, data analytics platforms, content management systems, and scientific research. They solve problems related to data persistence, scalability, performance, and reliability. Choosing an open source database offers benefits such as cost savings, community support, flexibility, and the ability to customize the system to specific needs. They allow developers complete control over their data environment.