Databases

A high-performance vector database and search engine for storing, filtering, and querying embeddings at scale.

Open-source Postgres extension for application developers adding vector similarity search, supporting exact and approximate retrieval, multiple distance measures, and reduced-precision vector storage.

Decentralized graph database and synchronization protocol enabling real-time P2P data sync with end-to-end encryption for developers building offline-first, privacy-preserving applications.

Fast, low-cost, scalable time-series database and monitoring solution compatible with Prometheus, suitable for long-term storage and use as Grafana data source.

High-performance open-source time-series database supporting high-throughput ingestion and low-latency SQL queries for real-time analytics and historical data storage for developers and enterprises.

Rust vector index library based on TurboQuant with Python bindings, supporting online writes, SIMD-accelerated search, and persistence for developers needing local vector storage for RAG.

Embeddable WASM build of Postgres distributed as a TypeScript library, letting developers run a persistent SQL database directly in browsers, Node.js, Bun, and Deno.

Embeds a lightweight, lightning-fast vector database directly inside applications, giving developers low-latency similarity search with scalable indexing and combined full-text and hybrid retrieval capabilities.

An open-source real-time analytics database with fast SQL, lakehouse acceleration, and hybrid vector and text search.

Embeddable high-performance key-value database written in pure Go, providing developers with concurrent ACID transactions and persistence as the underlying storage engine for Dgraph.

Ultra-lightweight vector database designed for personal devices and private local RAG. Combines graph indexing with on-demand recomputation to cut storage dramatically for privacy-conscious users.

Open-source MongoDB-compatible document database that translates MongoDB wire protocol queries into SQL backed by PostgreSQL for developers seeking a truly open alternative.

Open-source transactional distributed database offering linear scalability and proven fault tolerance on commodity hardware or cloud infrastructure without compromising performance for large-scale applications.

Container-native open-source storage platform providing persistent storage for Kubernetes stateful applications, including local volumes and highly available replicated storage for cluster operators.

Enterprise-grade open-source database middleware compatible with MySQL protocol, providing sharding, read-write splitting, and high availability for scaling massive datasets to the cloud.

Cloud-native enterprise data warehouse built in Rust on object storage, unifying large-scale analytics with vector and full-text search for AI workloads.

Streaming database for real-time agentic workloads unifying event ingestion, incremental computation, and low-latency queries to replace traditional stream-processing stacks for developers.

Multimodal data lake database for AI workloads offering vector search, dataset versioning, and streaming data loaders optimized for deep learning training pipelines.

Maintains a community-developed open-source relational SQL database forked from MySQL, supporting vector search, multiple storage engines, and clustered replication for small to large production deployments.

A Rust-built graph-vector database with native vector and full-text search for powering knowledge graphs, memory, and AI applications.

Postgres-compatible database rewritten in Rust with wire-protocol compatibility and passing regression tests, designed for high-throughput transactional and analytical workloads for developers and analysts.

Builds a high-performance storage engine for LLM inference and GPU training, accelerating massive KV-cache offloading and small-file reads and writes.

A distributed sync database that runs across frontend, serverless, and cloud with instant reactive state and multiplayer.

Unofficial native Windows port of the Redis key-value store, installable as a system service and supporting RDB persistence, AOF, and RedisJSON for Windows-based development and deployment.

Cross-platform lightweight vector-search engine designed as a pluggable module, providing shared graph indexes and quantization kernels that add similarity search to existing databases.

Embedded graph database designed for high-speed queries and scalable analytics, supporting Cypher queries with hybrid retrieval indexes for developers building knowledge and recommendation applications.

An embedded async database for serverless and edge runtimes that stores Arrow-native data as Parquet on S3.

Lightweight S3-compatible object-storage server distributed as a single binary with low memory use, encryption at rest, and a built-in web dashboard.

A super-fast on-device NoSQL database for Flutter apps with object persistence, queries, sync, and vector search.

A lakehouse-native graph engine with Git-style branching, merging, and workflows, supporting multimodal retrieval and versioned operational state for agent applications.

Open-source graph extension bringing graph-database capabilities to existing Postgres data, enabling graph search, traversal, and shortest-path queries without migration for Postgres users.

A fast on-device NoSQL and vector database for Swift on iOS and macOS with offline-first persistence and local search.