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 BI tool with drag-and-drop dashboards, 20+ data source connectors, and AI-powered natural language queries — a self-hosted alternative to Tableau.

Open-source enterprise data warehouse unifying analytics, vector search, full-text search, and AI agent orchestration in a single Rust-built engine on S3.

Event-driven orchestration platform for data, AI, and infrastructure workflows — define everything in YAML, run anywhere 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 reporting platform to build live dashboards from SQL, NoSQL, APIs, and SaaS tools with an AI assistant that creates charts from natural language.

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

Born out of Y Combinator's S2023 batch, ParadeDB is a Postgres extension that delivers Elasticsearch-quality BM25 search and real-time analytics without a separate search cluster to manage.

Fast, lightweight, schema-less search backend in Rust — microsecond queries, 30MB RAM, no document storage required.

An incremental data indexing engine that keeps AI agent context perpetually fresh by reprocessing only what changed.

A temporal, verifiable graph database with git-like branching, integrated vector/text/geo search, and RDF/SPARQL/JSON-LD/openCypher support — benchmarked at 10.4x faster than the next database on the full Wikidata dump.

Embedded KV store built on object storage with zero replication cost

A distributed stream processing engine written in Rust that lets you write SQL to run stateful, real-time computations over data streams with subsecond results.

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.

Fast, stable Redis GUI with cluster, SSH, and massive key support

Design database schemas visually in your browser and export executable SQL for any major database — no account required.

A Rust-based real-time data processing engine for AI/ML feature computation, built on Apache DataFusion and Arrow — positioned as an alternative to Flink, Spark, Chronon, and OpenMLDB with unified streaming, batch, and request-time execution.

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.

A visual and textual programming platform for data prep and analysis where the node graph and the underlying Enso code are always perfectly in sync, built by an Alteryx co-founder on a GraalVM engine.

Self-hostable personal finance app that gives you full ownership of your financial data with a clean, minimal Rails-powered interface.

Run ML training and LLM inference natively inside PostgreSQL with GPU acceleration — no data movement required.