turbopuffer
turbopuffer: A broad hosted retrieval database for teams building AI search at cloud scale. Ranked #13 of 27 in Vector Databases by our editors (8.1/10); pricing: Paid; best for teams needing scalable cloud vector infrastructure.
At a glance
- Editor score8.1 / 10
- PricingPaid
- Best forTeams needing scalable cloud vector infrastructure
- Free planNo
- Paid from$16/mo
- DeploymentBoth
- Facts checked22 Sep 2026
Where it wins
- Dense, sparse, BM25, hybrid, and filtered search in one database
- Native embeddings, branching, sharding, and BYOC deployment
- SDKs for Python, TypeScript, Go, Java, Ruby, and C#
Where it doesn't
- No free plan; Launch has a $16 monthly minimum commitment
- Scale starts at $256/month and Enterprise at $4,096/month
- BYOC is available through a commercial arrangement and is not open source
Our verdict on turbopuffer
turbopuffer is a hosted search database for AI applications, semantic search, recommendations, and other retrieval workloads. It combines dense vector approximate-nearest-neighbor search, exact kNN over filtered subsets, sparse vectors, full-text BM25, hybrid search, and metadata filtering. Teams can access it through an HTTP API, web-based service, and client libraries for Python, TypeScript, Go, Java, Ruby, and C#. Native embedding integrations and deployment options across AWS, Google Cloud, and Microsoft Azure make it suited to teams building cloud-based retrieval systems.
Pricing is organized into three paid monthly plans. Launch costs $16 per month as a minimum usage commitment and includes all database features, multi-tenancy, a SOC 2 report, a GDPR-ready DPA, community Slack, and email support. Scale costs $256 per month and adds a HIPAA-ready BAA, single sign-on, audit logs, a private Slack channel, and support hours from 8-5. Enterprise is listed at >=$4,096 per month plus a 35% usage premium, with multi-tenancy, single-tenancy, BYOC, private networking, CMEK per namespace, and 24/7 support. There is no free plan.
The standout strength is breadth within one retrieval system: dense and sparse vectors, BM25, hybrid queries, filtering through inverted indexes, native document and query embedding, copy-on-write namespace branching, and sharding up to 256 TB. BYOC deployment on customer Kubernetes clusters adds an option for teams that need infrastructure placement across AWS, GCP, or Azure. Choose turbopuffer when a project needs multiple search methods, namespace-based organization, and a broad SDK or cloud fit. A narrower vector-only service may be a better choice for teams seeking a free entry tier, open-source software, or a simpler pricing structure.
Your product? Our editors can test turbopuffer in depth and publish a review, labelled as paid · from $149/mo →
turbopuffer pricing
All 3 turbopuffer plans and prices →
turbopuffer fact sheet
| Free plan | No |
|---|---|
| Paid from | $16/mo |
| Deployment | Both |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Sparse vectors | Yes |
| Maximum dimensions | 10752 dimensions |
| Index types | SPFresh |
| SDK languages | Python, TypeScript/JavaScript, Go, Java/Kotlin, Ruby, C#/.NET |
| Money-back guarantee | 30 days |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR, HIPAA, SSO/SAML |
| Support | Email, Community, Docs · 24/7 |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Paid (source) |
| Website | turbopuffer.com |
| Facts checked | 22 Sep 2026 |
Alternatives to turbopuffer
- ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
- Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
- VikingDBA cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.9.1
See all turbopuffer alternatives →
Also Ranked In
turbopuffer is ranked in 4 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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