{"ok":true,"source":"tensorfeed.ai","lastUpdated":"2026-04-30","count":12,"databases":[{"id":"pinecone","name":"Pinecone","type":"managed","hostingOptions":["cloud"],"freeTier":"2GB storage, 5 indexes, 1M vectors at 1536 dim","startingPriceUSDMonth":25,"pricingNote":"Standard tier from $25/month. Serverless billed per read/write/storage. Enterprise dedicated tier from ~$2k/month.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"unlimited","openSource":false,"license":"Proprietary","released":"2021","url":"https://www.pinecone.io","notes":"Most-deployed managed vector DB. Serverless tier removed instance sizing as a concern. Strong on metadata filtering + namespace multi-tenancy."},{"id":"turbopuffer","name":"Turbopuffer","type":"managed","hostingOptions":["cloud"],"freeTier":"1k namespaces, 10M vectors","startingPriceUSDMonth":0,"pricingNote":"Pure usage-based: $0.30 per 1M reads, $0.10 per 1M writes, $0.20 per GB-month object storage. No fixed tier.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"unlimited","openSource":false,"license":"Proprietary","released":"2024","url":"https://turbopuffer.com","notes":"10-100x cheaper than Pinecone at scale by storing vectors on object storage (S3/GCS) and caching hot data in memory. Cold reads slower; warm reads competitive with in-memory dbs."},{"id":"qdrant-cloud","name":"Qdrant Cloud","type":"hybrid","hostingOptions":["cloud","self-host"],"freeTier":"1GB cluster, single node","startingPriceUSDMonth":25,"pricingNote":"Cluster pricing from $25/month for the smallest paid tier. Self-hosted Qdrant is free under Apache-2.0.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":false,"maxVectorsPaid":"unlimited","openSource":true,"license":"Apache-2.0","released":"2021","url":"https://qdrant.tech","notes":"Strong open-source story; Apache-2.0 with feature-parity between cloud and self-host. Native sparse vector support (not just bm25 hybrid). Rust core."},{"id":"weaviate-cloud","name":"Weaviate Cloud","type":"hybrid","hostingOptions":["cloud","self-host"],"freeTier":"14-day sandbox","startingPriceUSDMonth":25,"pricingNote":"Standard tier from $25/month. Enterprise dedicated and serverless tiers available. Self-hosted Weaviate free under BSD-3.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"unlimited","openSource":true,"license":"BSD-3-Clause","released":"2019","url":"https://weaviate.io","notes":"Schema-first; first-class hybrid search and built-in modules for embedding generation, reranking, and generative answers. The closest thing to a \"RAG framework as a database.\""},{"id":"milvus-zilliz","name":"Milvus / Zilliz Cloud","type":"hybrid","hostingOptions":["cloud","self-host","embedded"],"freeTier":"5GB on Zilliz Cloud serverless","startingPriceUSDMonth":0,"pricingNote":"Zilliz Cloud serverless pure usage-based; dedicated clusters from ~$100/month. Milvus self-host free under Apache-2.0.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"tens of billions","openSource":true,"license":"Apache-2.0","released":"2019","url":"https://zilliz.com","notes":"Most battle-tested at very-large scale (10B+ vectors). GPU index option (CAGRA) for ultra-low-latency ANN. Embedded mode (Milvus Lite) for single-node test harnesses."},{"id":"chromadb","name":"Chroma","type":"hybrid","hostingOptions":["cloud","self-host","embedded"],"freeTier":"Cloud: $5 free credit. Self-host: free under Apache-2.0","startingPriceUSDMonth":0,"pricingNote":"Chroma Cloud usage-based: $2.50 per 1M writes, $0.075 per GB storage, $0.075 per 1M reads. Self-host or embedded is free.","hybridSearch":false,"metadataFiltering":true,"multiTenancy":false,"serverless":true,"maxVectorsPaid":"unlimited","openSource":true,"license":"Apache-2.0","released":"2023","url":"https://www.trychroma.com","notes":"Developer-first ergonomics. Best embedded option for single-process Python/JS apps; the default in many LangChain/LlamaIndex tutorials. Hybrid search not native (rerank externally)."},{"id":"pgvector","name":"pgvector (Postgres)","type":"oss","hostingOptions":["cloud","self-host","embedded"],"freeTier":"Same as your Postgres host (Supabase free tier, Neon free tier, etc)","startingPriceUSDMonth":0,"pricingNote":"Pricing follows your Postgres host. Supabase Pro from $25/month, Neon from $19/month, AWS RDS varies.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"limited by Postgres scaling","openSource":true,"license":"PostgreSQL","released":"2021","url":"https://github.com/pgvector/pgvector","notes":"Postgres extension. Best fit when your app already has Postgres and your vector workload is small to medium. Hybrid via tsvector + vector. HNSW + IVFFlat indexes."},{"id":"lancedb","name":"LanceDB","type":"hybrid","hostingOptions":["cloud","self-host","embedded"],"freeTier":"Cloud: 1 GB free. Self-host or embedded: free under Apache-2.0","startingPriceUSDMonth":0,"pricingNote":"LanceDB Cloud usage-based: $0.20 per GB-month storage, $0.30 per 1M reads. Embedded (in-process Rust + Python/JS bindings) free.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":false,"serverless":true,"maxVectorsPaid":"unlimited","openSource":true,"license":"Apache-2.0","released":"2023","url":"https://lancedb.com","notes":"Columnar Lance file format on object storage. Embedded mode rivals SQLite for ergonomics: zero-config, single binary. Strong analytics queries on the same table as vector search."},{"id":"mongodb-atlas","name":"MongoDB Atlas Vector Search","type":"managed","hostingOptions":["cloud"],"freeTier":"M0 cluster (512MB)","startingPriceUSDMonth":9,"pricingNote":"M10 cluster from $9/month with vector search included. Atlas Search billed by storage + queries on dedicated tiers.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"unlimited","openSource":false,"license":"Proprietary","released":"2023","url":"https://www.mongodb.com/products/platform/atlas-vector-search","notes":"Best fit when MongoDB is already your operational database. Hybrid via Atlas Search ($search) + vector ($vectorSearch) in one aggregation pipeline."},{"id":"vespa","name":"Vespa Cloud","type":"hybrid","hostingOptions":["cloud","self-host"],"freeTier":"$300 trial credit","startingPriceUSDMonth":0,"pricingNote":"Pure usage-based on Vespa Cloud (compute + storage). Self-hosted Vespa free under Apache-2.0.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":false,"maxVectorsPaid":"unlimited","openSource":true,"license":"Apache-2.0","released":"2017","url":"https://vespa.ai","notes":"Yahoo-built; powers very-large-scale search and recommendation systems (10B+ docs). Steepest learning curve in the catalog but the strongest hybrid retrieval and ranking story."},{"id":"elasticsearch","name":"Elasticsearch","type":"hybrid","hostingOptions":["cloud","self-host"],"freeTier":"Elastic Cloud 14-day trial","startingPriceUSDMonth":95,"pricingNote":"Elastic Cloud Standard from ~$95/month. Self-hosted via Elastic License v2 (free for most uses).","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"unlimited","openSource":false,"license":"Elastic License v2 / SSPL","released":"2022 (vector)","url":"https://www.elastic.co/elasticsearch","notes":"Best fit when you already use Elastic for log/text search and want vector co-located. Native HNSW. Full BM25 + vector hybrid scoring with first-class RRF."},{"id":"opensearch","name":"OpenSearch","type":"oss","hostingOptions":["cloud","self-host"],"freeTier":"AWS OpenSearch Serverless: pay-as-you-go from ~$50/mo minimum","startingPriceUSDMonth":0,"pricingNote":"AWS OpenSearch Service: ~$0.14/hour for the smallest instance. AWS OpenSearch Serverless minimum ~$50/month. Self-host free under Apache-2.0.","hybridSearch":true,"metadataFiltering":true,"multiTenancy":true,"serverless":true,"maxVectorsPaid":"unlimited","openSource":true,"license":"Apache-2.0","released":"2022 (vector)","url":"https://opensearch.org","notes":"Apache-2.0 fork of Elasticsearch 7.10. AWS-native with serverless option. Best fit for AWS-heavy stacks that want hybrid search without licensing entanglements."}]}