GalaxDB
VerifiedGalaxDB integrates SQL with automatic local embeddings in a single database binary.
What is GalaxDB?
GalaxDB operates as a unified system that handles structured records, JSON, full-text, and dense vectors within the same rows. Declaring an embedding model in table definitions triggers automatic vector computation on inserts, eliminating separate data pipelines and external API calls. The database supports semantic matching directly in SQL statements, reproducible historical queries through version tags, and one-command exports formatted for PyTorch consumption. Near-duplicate removal via locality-sensitive hashing further streamlines dataset preparation. Deployment works in either embedded Python mode or as a standalone server using the PostgreSQL wire protocol. The entire system is released under an open-source license and runs without cloud dependencies.
Key features
AI models GalaxDB uses
What you can use GalaxDB for
Unified AI Application Stack
Replace separate PostgreSQL, vector stores, caches, object storage, and embedding pipelines with a single binary that handles transactional rows, vector indexes, local embeddings, blobs, and lineage in one system.
Reproducible ML Training Workflows
Create version tags before training runs and query historical data snapshots with AT VERSION to ensure exact reproducibility and support compliance requirements like the EU AI Act.
Semantic Search Inside SQL
Perform vector similarity searches using SEMANTIC_MATCH directly in WHERE clauses, combined with standard SQL filters, ORDER BY, and LIMIT without client-side merging.
How to use GalaxDB
- 1Download the binary via curl from galaxdb.com/get
- 2Write a CREATE TABLE statement that includes EMBEDDING MODEL and DIM clauses
- 3Run INSERT statements to automatically trigger local embedding generation
- 4Query with SEMANTIC_MATCH or AT VERSION for semantic and time-travel results
- 5Export a training snapshot using CREATE VERSION TAG FOR TRAINING
GalaxDB pricing
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Open Source
- Apache 2.0
- Free forever
- Self-hosted
- v1.0.0-beta.1
Cloud Free
Popular- Free tier
- No credit card
- Join waitlist
Cloud v1.0
- Managed AI database
- One binary
- All features included
Editor's verdict
Pros
- +Replaces PostgreSQL, Pinecone, Redis, S3, and Airflow with single binary
- +Open source Apache 2.0 with self-hosted single-binary deployment
- +High performance (0.990 recall@10, 258K TPS, 4.49 GB/s scan)
Cons
- –Public beta release (v1.0.0-beta.1)
- –Cloud free tier requires waitlist signup
Our take: GalaxDB is a solid coding & dev choice. It's valued for replaces postgresql, pinecone, redis, s3, and airflow with single binary and open source apache 2.0 with self-hosted single-binary deployment. The main trade-off is public beta release (v1.0.0-beta.1). A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
It speaks the PostgreSQL wire protocol so existing psycopg2 code works unchanged and offers both embedded Python library mode and standalone server mode.
Summary
GalaxDB is a solid coding & dev choice. It's valued for replaces postgresql, pinecone, redis, s3, and airflow with single binary and open source apache 2.0 with self-hosted single-binary deployment. The main trade-off is public beta release (v1.0.0-beta.1). A good pick if you want capable AI without a high upfront cost.
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