Alternatives to turbopuffer
Serverless vector and full-text search on object storage
turbopuffer ranks #9 of 9 in Vector databases, with an Alt Score of 68. It is proprietary and available on the web. 13 of 13 checklist rows are verified against a public source.
turbopuffer is a serverless vector and full-text search database built on object storage, offered as a managed cloud service.
turbopuffer targets engineering teams building large-scale vector, full-text, and hybrid search applications (RAG, semantic search, recommendations) who want a managed, object-storage-native database instead of operating their own vector search infrastructure, from small usage-based projects up through enterprises needing BYOC, SSO, HIPAA, and SOC 2 compliance.
A cloud API for vector similarity search (SPFresh ANN index) and BM25 full-text search combined into hybrid search, with metadata filtering, unlimited namespaces for multi-tenancy, copy-on-write namespace branching, strongly consistent real-time upserts, and private-beta native embedding generation, priced by usage (storage, writes, queries) with a monthly minimum starting at $16/month on the Launch plan.
All durable data lives in object storage (S3/GCS/Azure Blob) as a write-ahead log plus an object-storage-native LSM tree; writes are group-committed to the WAL and then asynchronously indexed, while stateless, auto-scaling query and indexing nodes cache namespace data on NVMe SSD and in memory so that repeated queries to a namespace become fast after an initial cold read from object storage.
Why people leave turbopuffer
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Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
Chroma is an open-source embedding (vector) database for AI applications, with a hosted Chroma Cloud.
LanceDB is an open-source, embeddable serverless vector database built on the Lance columnar format, with a managed cloud.
Milvus is an open-source, horizontally scalable vector database, offered as managed Zilliz Cloud.
Qdrant is an open-source vector search engine and database with a managed cloud offering.
Pinecone is a fully managed, serverless vector database for building high-performance AI search and retrieval applications.
Vespa is an open-source big-data serving engine for search, recommendation and vector retrieval, with Vespa Cloud as the managed option.
pgvector is an open-source PostgreSQL extension that adds vector similarity search to an existing Postgres database.
Feature comparison
Rows come from the Vector databases checklist (17 rows). Human-verified cells only. ? means the value has not been verified.
| Vector databases checklist | turbopuffer | Chroma | LanceDB | Milvus | Qdrant | Pinecone |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
| Starts at | ||||||
| License | ||||||
| Platforms | ||||||
| Open source | ||||||
| Self-hostable | ||||||
| Fully managed cloud | ||||||
| Hybrid search (vector + keyword) | ||||||
| Metadata filtering | ||||||
| Horizontal scaling / sharding | ||||||
| Serverless option | ||||||
| Built-in embedding generation | ||||||
| Multi-tenancy / namespaces | ||||||
| Real-time upserts | ||||||
| SQL / existing-DB integration | ||||||
| Free tier | ||||||
| SDKs (Python/JS) |
Every fact and feature listed for turbopuffer is verified against its own pages. Each alternative is sourced on its own page.
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License Proprietary verified 2026-07-16
No open-source license or public source repository is published anywhere on the site; this FAQ answer confirms turbopuffer runs a closed, commercial-only model.
For the current phase of our company we have chosen a commercial-only model to maintain high quality support and rapid development.
https://turbopuffer.com/pricing -
Pricing model Usage-based verified 2026-07-16
Storage, writes, queries, and embeddings are all metered and billed by consumption, with a monthly minimum usage charge per plan (e.g. $16/month on Launch).
Queries are billed as the sum of two components: the amount of data queried and the amount of data returned.
https://turbopuffer.com/pricing -
Starts at $16/month verified 2026-07-16
$16/month is the minimum usage charge on the cheapest (Launch) plan; there is no free paid tier.
Launch plan minimum reduced from $64 → $16/month
https://turbopuffer.com/docs/roadmap -
Platforms Web verified 2026-07-16
turbopuffer is a cloud HTTP API/SaaS product accessed via REST and Python/TypeScript SDKs, managed through a web dashboard; there is no native desktop, mobile, or browser-extension client.
Create an API key from the Dashboard.
https://turbopuffer.com/docs/quickstart -
Status active verified 2026-07-16
Changelog lists a shipped feature (native embedding private beta) for July 2026, the current month, indicating ongoing active development.
Last updated: July 15, 2026
https://turbopuffer.com/docs/roadmap -
Open source No verified 2026-07-16
No public source repository exists; even the BYOC control-plane customer component is only 'source-available by request', not openly published.
For the current phase of our company we have chosen a commercial-only model to maintain high quality support and rapid development.
https://turbopuffer.com/pricing -
Self-hostable Partial verified 2026-07-16
BYOC runs turbopuffer's proprietary binaries inside the customer's own cloud account/VPC, but the turbopuffer team remains on-call and operates it through a control plane; it is not an independently s
Deploy turbopuffer into your Kubernetes cluster on AWS, GCP, or Azure with turbopuffer BYOC (Bring Your Own Cloud).
https://turbopuffer.com/docs/byoc -
Fully managed cloud Yes verified 2026-07-16
Default deployment is turbopuffer-hosted public multi-tenant clusters selected by region, confirming a standard fully managed cloud offering.
In addition to these public clusters, we run dedicated clusters in various other regions for single-tenancy customers and in any region inside your VPC in AWS, GCP and Azure (BYOC).
https://turbopuffer.com/docs/regions -
Hybrid search (vector + keyword) Yes verified 2026-07-16
turbopuffer supports vector search (for semantic relevance) and BM25 full-text search (for exact keyword matching).
https://turbopuffer.com/docs/concepts -
Metadata filtering Yes verified 2026-07-16
Filtering allows queries to restrict results to documents matching specific attribute conditions.
https://turbopuffer.com/docs/concepts -
Horizontal scaling / sharding Partial verified 2026-07-16
Query/indexing compute nodes auto-scale with demand (docs/concepts), but a single namespace is capped at 500M docs/2TB, so scaling beyond that requires manual application-level sharding across namespa
Requires manually sharding into multiple namespaces (e.g. id % N) to comply with per-namespace limits.
https://turbopuffer.com/docs/limits -
Serverless option Yes verified 2026-07-16
turbopuffer never uses the literal word 'serverless', but its only offering is a pay-per-use API backed by stateless, auto-scaling compute with no servers to provision or manage.
Compute nodes are stateless. This means any node can serve queries for any namespace.
https://turbopuffer.com/docs/architecture -
Built-in embedding generation Partial verified 2026-07-16
Native embeddings are in private beta. Please reach out to us if you're interested.
https://turbopuffer.com/docs/embedding -
Multi-tenancy / namespaces Yes verified 2026-07-16
You can create unlimited namespaces, and each namespace has its own vector index, full-text search index, attribute index, or a combination.
https://turbopuffer.com/docs/concepts -
Real-time upserts Yes verified 2026-07-16
turbopuffer provides strong consistency by default: if you perform a write, a subsequent query will immediately see the write.
https://turbopuffer.com/docs/concepts -
SQL / existing-DB integration No verified 2026-07-16
turbopuffer is accessed only through its own JSON HTTP API and client SDKs; no docs page mentions a SQL interface, foreign data wrapper, or existing-database integration.
The API uses JSON encoding for both request and response payloads.
https://turbopuffer.com/docs/api-overview -
Free tier No verified 2026-07-16
The cheapest available plan (Launch) carries a $16/month minimum usage charge; no $0 free plan is listed among the three plans (Launch, Scale, Enterprise).
Minimum Usage $16/month
https://turbopuffer.com/pricing -
SDKs (Python/JS) Yes verified 2026-07-16
The same page also shows the JS/TS SDK install command: '// $ npm install @turbopuffer/turbopuffer'.
# $ pip install turbopuffer
https://turbopuffer.com/docs/quickstart
FAQ
Yes. Pinecone and pgvector have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.
Chroma, LanceDB and Milvus — every license claim links its source.