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4 options ranked by Trust Score · April 2026
About Weaviate
Open-source vector database with built-in ML model integration. Weaviate supports hybrid search (vector + BM25), multi-tenancy, and can run fully self-hosted or managed.
The leading distributed search and analytics engine. Elasticsearch powers full-text search, log aggregation (ELK stack), and complex analytics queries at scale. Powerful but operationally complex to self-host.
High-performance vector database written in Rust. Qdrant delivers exceptional speed and memory efficiency for large-scale vector search with a clean REST and gRPC API.
The open-source embedding database. Designed to be simple and developer-friendly for building LLM apps with persistent memory.
Managed vector database purpose-built for AI applications. Fully hosted with serverless scaling and a free tier (100k vectors). The fastest way to add semantic search or RAG to production.
Trust Scores are calculated weekly from real-world signals — npm/PyPI downloads, GitHub commits, stars, and Stack Overflow activity. Higher is more actively maintained and widely adopted.
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