LanceDB is an open-source embedded vector database built on the Lance columnar format for multimodal AI. It delivers near in-memory performance from disk with zero-copy architecture, supporting vector search, full-text search, and SQL. Native SDKs for Python, TypeScript, and Rust integrate with LangChain, LlamaIndex, and DuckDB. Backed by a $30M Series A, used by Harvey AI and Runway, with 18,000+ GitHub stars.
Best Elasticsearch Alternatives
3 editor-verified alternatives · Elasticsearch overview →
source: tools.alternatives · stored order · active records only; review scores are annotations and never change membership or order
turbopuffer is a serverless vector and full-text search engine built on object storage and vendor-positioned as roughly 10x cheaper than traditional vector databases. Used by Anthropic, Cursor, Notion, and Atlassian for production search workloads. Official site reports 4T+ documents, 10M+ writes/s, and 25k+ queries/s in production systems. Funded by Thrive Capital.
Ragie is a managed retrieval-augmented generation platform that handles document ingestion, indexing, and retrieval so developers can build grounded AI applications without managing vector databases or chunking pipelines. It connects to Google Drive, Notion, Slack, Confluence, and other enterprise data sources with simple APIs for hybrid search and entity extraction.
Open-source Elasticsearch alternatives
LanceDB — see all open-source developer tools.
Elasticsearch head-to-head
FAQ
What is the best Elasticsearch alternative?
LanceDB tops our editor-verified list of 3 Elasticsearch alternatives, scoring 86/100 in our hands-on review.
Are there open-source Elasticsearch alternatives?
Yes — LanceDB are open source.