Qdrant alternatives
Depot pick for serious vector workloads with filters. Self-host or Cloud — either way you can leave.
Overall 8.59 (curated_estimate, high) · score asOf 2026-10-19 · last reviewed 2026-10-19. This is not an Elo and not a live price board. Provider · JSON
Jobs: managed-vector, self-host-vector, rag-memory, cheap-vector-scale, billion-scale-vector, hybrid-search-rag
| Provider | Why listed | Overall | Δ vs subject | asOf |
|---|---|---|---|---|
| Zilliz (Milvus) When you're truly at massive scale, Milvus/Zilliz earns its complexity. Don't start here for a chatbot MVP. | same_jtbd_runner, same_jtbd_pick · managed-vector, self-host-vector, cheap-vector-scale | 8.16high | -0.43 | 2026-09-14 |
| Supabase (pgvector) Depot default for most agent apps under ~25–50M vectors. Don't add Pinecone until Postgres actually hurts. | same_jtbd_pick, same_jtbd_runner · rag-memory, cheap-vector-scale, hybrid-search-rag | 8.64high | +0.05 | 2026-09-14 |
| Turbopuffer When your vector bill scares you and much of the corpus is cold, Turbopuffer is the interesting answer. | same_jtbd_runner, same_jtbd_pick · rag-memory, cheap-vector-scale, billion-scale-vector | 8.21high | -0.38 | 2026-09-14 |
| Weaviate Best when hybrid search and modularity matter. Cloud for convenience; self-host when lock-in anxiety spikes. | same_jtbd_runner, same_jtbd_pick · managed-vector, self-host-vector, hybrid-search-rag | 8.2high | -0.39 | 2026-09-14 |
| Upstash Vector Prototype/edge RAG peer when you already on Upstash. Prefer Qdrant/Pinecone for serious filtered production… | same_jtbd_runner · managed-vector, rag-memory, cheap-vector-scale | 8.15high | -0.44 | 2026-09-14 |
| Pinecone Still the zero-ops vector default. If you already run Postgres, try pgvector before paying Pinecone rents. | same_jtbd_runner · managed-vector, rag-memory, billion-scale-vector | 7.95high | -0.64 | 2026-09-14 |
| Upstash Redis Default serverless-edge-redis. Use classic Redis Cloud when you need always-on fat memory / Redis modules… | same_jtbd_runner · rag-memory | 8.49high | -0.1 | 2026-09-14 |
| Meilisearch Cloud Typesense/Algolia peer for product + RAG hybrid search. Prefer Typesense when hourly HA clusters are clearer… | same_jtbd_runner · hybrid-search-rag | 8.36high | -0.23 | 2026-09-14 |
| Typesense Cloud Hybrid search peer when you want Algolia-like DX without per-request fees. Sample $0.03/hr floor pinned… | same_jtbd_runner · hybrid-search-rag | 8.29high | -0.3 | 2026-09-14 |
| Algolia Enterprise product-search default. Prefer Typesense/OpenSearch when $/QPS dominates; vector DBs when pure… | same_jtbd_runner · hybrid-search-rag | 8.27high | -0.32 | 2026-09-14 |
| Redis Use as agent hot memory/cache, not as your only 100M-vector archive. | same_jtbd_runner · rag-memory | 8.07high | -0.52 | 2026-09-14 |
| Elasticsearch Serverless Enterprise hybrid/vector search when already in Elastic. Prefer Typesense/Meilisearch/Algolia for product… | same_jtbd_runner · hybrid-search-rag | 8.06high | -0.53 | 2026-09-14 |
Prices are not ranked on this page. For a job, use the sourced quote (separate input and output rows, Depot Pick unchanged): managed-vector, self-host-vector, rag-memory, cheap-vector-scale.
Alternatives are other catalog providers that share a JTBD as pick or runner-up. If fewer than three exist, same-category active providers fill the list and are labeled same_category. Overall deltas are catalog scores. kind=curated_estimate is not a lab measurement. Pricing rows are sourced or explicitly null. Do not parse pricingNotes. A single normalized USD figure is set only for a provider with exactly one token row.