All Open Source Apps

Self-hosted Backend-as-a-Service for Node.js with REST, GraphQL, real-time Live Query, cloud code, and pluggable adapters for any infrastructure.

Distributed SQL database for real-time analytics at scale

Open-source vector database and search engine built in Rust for production-grade AI applications — from semantic search to RAG pipelines and recommendation systems.

A high-performance, open-source time-series database built for financial market data, IoT telemetry, and real-time analytics, combining a zero-GC Java/C++ core with SIMD-accelerated SQL and a WAL-to-Parquet storage engine.

Open-source, embedded vector database built on the Lance columnar format for fast multimodal search across billions of vectors, backed by Y Combinator (W23).

Embedded KV store built on object storage with zero replication cost

A graph-vector database built from scratch in Rust that unifies graph traversal, vector search, key-value, and relational storage into a single platform for AI applications.

Open-source time-series database built for real-time ingest, fast SQL queries, and embedded Python automation — powered by Apache Arrow and Parquet.

Federated AI search and RAG across 100+ enterprise sources—no data extraction, no vector database required.

A RocksDB-based NVMe/S3 cache purpose-built for AI inference workloads — a faster Redis replacement optimized for batch, low-latency, zero-copy reads and writes between data pipelines and inference apps.