Activeloop Deep Lake
Now positioned as Continual Learning Infrastructure, with three products: Deeplake Database, Hivemind Memory and Refinery Software Factory. Deep Memory feature optimises embedding space per use-case (+22% retrieval accuracy). Deep Lake PG unifies serverless Postgres (agent short-term state) + billion-scale vector search (long-term memory).
Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 50 cited facts, 6 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Multimodal vector + serverless Postgres vendor fix
- Tier
- T2
- Section
- Vector-database infrastructure
- Latest release
- v4.7.4 (2026-08-25) — deeplake (PyPI) registry fix
- License
- Apache-2.0 repo fix
- Pricing
- Hivemind Basic $0/month ($15 credits; 150k traces and 1.5M queries included, then $0.25 per 1k traces and 10k queries); Team $99/seat/month; Enterprise custom (own VPC) vendor fix
- Funding
- ~$20M total (Seed + $11M Series A) third-party fix
- Freshness
- 2026-10-29 fix
- Layer
- model-infra repo fix
- Developer activity
- OpenRank 0.36 (12-mo avg 3.1) · 3 participants — 2026-09 third-party fix
When to use
Optimised for: low-latency similarity search + scale
Anti-fit: not for relational / graph-heavy queries (vector-first by design)
Pros & cons
Pros
Multi-modal data lake (vectors + images + video) with version control — strong for ML data pipelines plus memory.
Cons
Less developer-API-friendly than Pinecone / Weaviate; positioning straddles ML training and runtime memory.
Claims & capabilities
+22% retrieval accuracy claim. Reports 80% cheaper than comparable vector DBs.
Technical surface
- API surface
- REST, SDK: Python, JS/TS
- Backend storage
- custom (Deep Lake columnar format on object storage)
- Deployment
- Both (self-hosted + managed cloud) — Apache-2.0 library and managed Deeplake cloud; Enterprise runs in your own VPC
- Embedding model
- multiple supported
- Multi-tenancy
- hard-isolation
- MCP
- no first-party MCP adapter published as of 2026-05; community connectors may exist.
- A2A
- no Google A2A (Agent2Agent) integration documented as of 2026-05.
- OpenTelemetry
- no first-party OpenTelemetry exporter documented; standard logs/metrics typically available.
Alternatives to Activeloop Deep Lake → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vector-database infrastructure in the catalog, ranked by inbound references.
- Qdrant T1
Distribution-Based Score Fusion + RRF. Sparse vectors native; filtering via ANN graph modification.
- Chroma T1
Limited native hybrid (users build RRF custom). Fast Rust core (v2.5). Acquired by Replit (definitive agreement announced 2026-10-23); Chroma Cloud is winding down (writes disabled 2026-11-22, reads disabled 2026-12-22) while open-source ChromaDB continues under Apache-2.0.
- pgvector T1
Stores embeddings alongside relational + full-text data. HNSW + IVFFlat ANN indexes. Used as agent conversation memory via LangChain + MCP. Foundation of Supabase AI and many self-hosted RAG stacks.
- Weaviate T1
Hybrid Search 2.0 with learned ranking. BM25 + vector in unified index.
- Milvus T1
Multi-vector columns (10 simultaneous). Native hybrid search (v2.5). CAGRA + Vamana GPU/CPU (v2.6).
- Pinecone T1
Managed vector DB. Cascading sparse + dense + rerank pipeline; pinecone-rerank-v0 .
Sources (49 cited facts, 6 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Multimodal vector + serverless Postgres vendor
- What it does & what's distinct Now positioned as Continual Learning Infrastructure, with three products: Deeplake Datab… vendor
- Claims / benefits +22% retrieval accuracy claim. Reports 80% cheaper than comparable vector DBs. vendor
- Modalities text + image vendor
- Created 2018 third-party
- Latest release v4.7.4 (2026-08-25) — deeplake (PyPI) registry
- License Apache-2.0 repo
- GitHub activeloopai/deeplake — ~9.3k stars, last commit 2026-05 repo
- Funding ~$20M total (Seed + $11M Series A) third-party
- Pricing Hivemind Basic $0/month ($15 credits; 150k traces and 1.5M queries included, then $0.25 … vendor
- Compliance SOC 2 Type II; SAML/RBAC features vendor
- Deployment Both (self-hosted + managed cloud) — Apache-2.0 library and managed Deeplake cloud; Ente… vendor
- HQ US third-party
- Founders / pedigree Davit Buniatyan (founder/CEO; Princeton origin) third-party
- Memory volume / scale no scale claim vendor
- Performance Deep Lake reports +22% retrieval accuracy vs Pinecone/Weaviate on enterprise RAG workloa… vendor
- API surface REST, SDK: Python, JS/TS vendor
- Backend storage custom (Deep Lake columnar format on object storage) vendor
- Multi-tenancy hard-isolation vendor
- Encryption at-rest + in-transit vendor
- SSO / RBAC SSO + RBAC vendor
- Embedding model multiple supported vendor
- Versioning immutable append-log vendor
- Schema evolution schema with migration vendor
- Namespace primitives per-tenant vendor
- Contradiction handling always overwrite (last-write-wins) vendor
- Forgetting policy none (permanent) vendor
- Webhooks / events no vendor
- Import / export Deep Lake format, Parquet, NumPy, COCO vendor
- Validated verticals RAG developers, agent builders (broad horizontal); financial-services, healthcare, legal… vendor
- Time to running <10min (managed cloud) to <1hr (self-host Docker) vendor
- Anti-fit not for relational / graph-heavy queries (vector-first by design) vendor
- Optimised for low-latency similarity search + scale vendor
- Adjacent infrastructure BYO embedding model + LLM; this IS the vector store vendor
- Pros Multi-modal data lake (vectors + images + video) with version control — strong for ML da… vendor
- Cons Less developer-API-friendly than Pinecone / Weaviate; positioning straddles ML training … vendor
- Project & sources activeloop.ai vendor
- cost-input-usd-per-mtok 0 vendor
- cost-output-usd-per-mtok 0 vendor
- cost-tier free vendor
- cost-pricing-model free-tier vendor
- cost-last-verified 2026-06-29 vendor
- adoption-accelerator yc-s18 third-party
- architecture-deployment-locus hybrid repo
- licensing-bucket open-core vendor
- positioning-platform-vs-product platform vendor
- taxonomy-three-layer-rollup model-infra repo
- developer-activity-opendigger {"activity":2.22,"as_of":"2026-09","openrank_12mo":3.1,"openrank_current":0.36,"particip… third-party
- sdk-languages python repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-27
- License “not applicable — not OSS” → “Apache-2.0” source
- Latest release “not applicable — not OSS” → “v4.7.4 (2026-08-25) — deeplake (PyPI)” source
- Pricing “Free + paid” → “Hivemind Basic $0/month ($15 credits; 150k traces and 1.5M queries included, then $0.25 per 1k traces and 10k queries); Team $99/seat/month; Enterprise custom (own VPC)” source
- Deployment “Both” → “Both (self-hosted + managed cloud) — Apache-2.0 library and managed Deeplake cloud; Enterprise runs in your own VPC” source
Related systems
Referenced by (2)
- LangChain (framework) integrates with — LangChain's all-providers integrations page lists DeepLake: "Vector database for deep learning applications". (verified 2026-10-29)
- LlamaIndex (framework) integrates with — LlamaIndex has an official vector store integration package llama-index-vector-stores-deeplake in its repo. (verified 2026-10-29)