Head-to-head · Vector Databases
Upstash Vector vs turbopuffer
Upstash Vector leads on 1 check, turbopuffer on 1, and 3 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreUpstash Vector · 6.7/10
- Free planonly Upstash Vector
Upstash Vector scores higher on our rubric for vector databases: 6.7 against 6.6 out of 10; our editors rank them #13 and #14.
Upstash Vector offers free plan; turbopuffer doesn't. On deployment, turbopuffer gives you Both where Upstash Vector offers Cloud. turbopuffer leads on maximum dimensions: 10752 dimensions versus 3072 dimensions.
Upstash Vector is the better fit for low-cost serverless vector workloads. turbopuffer is the better fit for teams needing scalable cloud vector infrastructure.
- Upstash Vector fits best
Low-cost serverless vector workloads
- turbopuffer fits best
Teams needing scalable cloud vector infrastructure
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Side by side
| Feature | Upstash Vector 6.7/10 Visit ↗ | turbopuffer 6.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 6.7 | 6.6 |
| Ranking | #13 in Vector Databases | #14 in Vector Databases |
| Best for | Low-cost serverless vector workloads | Teams needing scalable cloud vector infrastructure |
| Pricing model | Free plan + paid | Paid |
| Starting price | Not published | $16/mo |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Community, Docs | Email, Community, Docs · 24/7 |
| Compliance | GDPR | SOC 2, GDPR, HIPAA, SSO/SAML |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Upstash Vector 3/3 · turbopuffer 3/3 | ||
| Hybrid search | ✓ | ✓ |
| Metadata filtering | ✓ | ✓ |
| Sparse vectors | ✓ | ✓ |
| Specs | ||
| Deployment | Cloud | Both |
| Maximum dimensions | 3072 dimensions | 10752 dimensions (best) |
| Index types | DiskANN, FreshDiskANN | SPFresh |
| SDK languages | Python, TypeScript, Go, PHP | Python, TypeScript/JavaScript, Go, Java/Kotlin, Ruby, C#/.NET |
| Our review | ||
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| Our verdict | Upstash Vector is a fully managed, serverless vector database for developers building semantic search, retrieval-augmented generation, and other AI applications. It supports REST access and official SDKs for Python, TypeScript, Go, and… Read the review → |
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,… Read the review → |
Strengths and trade-offs
Upstash Vector — where it wins
- Free plan includes 10,000 daily queries and updates
- Supports dense, sparse, and hybrid vector indexes
- REST API, namespaces, filtering, and DiskANN search
Where it doesn't
- Free plan allows only 1 GB of total data
- Verified integration coverage is limited to the Vercel AI SDK
- Higher-capacity plan pricing is not shown in the published plan details
turbopuffer — 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
- Upstash Vector6.7/10 · Free plan · paid from $0.40
A low-cost serverless vector database with hybrid search and flexible usage pricing.
Visit Upstash VectorFull verdict → - turbopuffer6.6/10 · From $16/mo
A broad hosted retrieval database for teams building AI search at cloud scale.
Visit turbopufferFull verdict →
All vector databases comparisons → · Full ranking →
Guides on vector databases
- An Honest Comparison of Open-Source Vector DatabasesAug 2026
- A Detailed Guide to Indexing Algorithms in Vector DatabasesAug 2026
- Using PostgreSQL as a Vector Database in RAG: A Production GuideAug 2026
Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update

