Head-to-head · Vector Databases
Chroma vs Upstash Vector
Chroma leads on 1 check, Upstash Vector on 1, and 4 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreChroma · 8.0/10
- Lowest starting priceUpstash Vector · $60/mo
- Free planboth
Chroma scores higher on our rubric for vector databases: 8.0 against 7.9 out of 10; our editors rank them #14 and #15.
Upstash Vector is cheaper to start at $60/mo against $250/mo. On deployment, Chroma gives you Both where Upstash Vector offers Cloud. Chroma leads on maximum dimensions: 4096 dimensions versus 3072 dimensions.
Chroma is the better fit for AI teams needing multimodal retrieval integrations. Upstash Vector is the better fit for low-cost serverless vector workloads.
- Chroma fits best
AI teams needing multimodal retrieval integrations
- Upstash Vector fits best
Low-cost serverless vector workloads
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Side by side
| Feature | Chroma 8.0/10 Visit ↗ | Upstash Vector 7.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.0 | 7.9 |
| Ranking | #14 in Vector Databases | #15 in Vector Databases |
| Best for | AI teams needing multimodal retrieval integrations | Low-cost serverless vector workloads |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $250/mo | $60/mo (best) |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Web, Windows, macOS, Linux, iOS, Android | Web |
| Support | Email, Community, Docs | Email, Community, Docs |
| Compliance | SOC 2 | GDPR |
| Integrations | 18 integrations | 6 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Chroma 3/3 · Upstash Vector 3/3 | ||
| Hybrid search | ✓ | ✓ |
| Metadata filtering | ✓ | ✓ |
| Sparse vectors | ✓ | ✓ |
| Specs | ||
| Deployment | Both | Cloud |
| Maximum dimensions | 4096 dimensions (best) | 3072 dimensions |
| Index types | VectorIndex, SparseVectorIndex, FtsIndex, StringInvertedIndex, IntInvertedIndex, FloatInvertedIndex, BoolInvertedIndex | DiskANN, FreshDiskANN |
| SDK languages | Python, TypeScript, Rust, Kotlin, Swift | Python, TypeScript, Go, PHP |
| Our review | ||
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| Our verdict | Chroma is an open-source database and search infrastructure for AI applications. It stores documents, embeddings, and metadata for workloads such as agentic search, code search, and retrieval-augmented applications. Teams can run it… Read the review → |
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 → |
Strengths and trade-offs
Chroma — where it wins
- Supports dense, sparse, hybrid, full-text, regex, and metadata search
- Connects with eight AI platforms, including OpenAI and Hugging Face
- Offers local, self-hosted, and managed serverless deployment options
Where it doesn't
- Team pricing starts at $250/month before usage-based charges
- Enterprise pricing is custom rather than publicly listed
- Some Cloud limits, including maximum dimensions, depend on quotas
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
- Chroma8.0/10 · Free plan
A flexible vector database for multimodal retrieval, with a free tier and paid usage costs.
Visit ChromaFull verdict → - Upstash Vector7.9/10 · Free plan
A low-cost serverless vector database with hybrid search and flexible usage pricing.
Visit Upstash VectorFull verdict →
All vector databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update

