Best Open-Source Databases for AI & ML Workloads
The best open-source databases for AI and ML workloads include vector databases (Milvus, Weaviate, Qdrant), time-series databases (TimescaleDB), graph databases (Neo4j), and high-performance analytics engines (ClickHouse), alongside PostgreSQL with pgvector as a reliable all-rounder. Each option serves different use cases like semantic search, predictive analytics, fraud detection, and large-scale model training. The right choice depends on your workload—whether it’s embeddings, temporal data, relationships, or high-speed analytics.