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Head-to-head · Vector Databases

Pinecone vs Upstash Vector

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Pinecone #10 in Vector Databases 8.4/10 Free plan · 21-day trial Free planFree trial✓ 3 of 3 features Visit Pinecone
Upstash Vector #15 in Vector Databases 7.9/10 Free plan Free plan✓ 3 of 3 features Visit Upstash Vector

Pinecone leads on 0 checks, Upstash Vector on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorePinecone · 8.4/10
  • Free planboth
  • Free trialonly Pinecone

Pinecone scores higher on our rubric for vector databases: 8.4 against 7.9 out of 10; our editors rank them #10 and #15.

Pinecone is the better fit for teams wanting a mature managed vector service. Upstash Vector is the better fit for low-cost serverless vector workloads.

  • Pinecone fits best

    Teams wanting a mature managed vector service

  • Upstash Vector fits best

    Low-cost serverless vector workloads

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Side by side

Feature Pinecone 8.4/10 Visit ↗ Upstash Vector 7.9/10 Visit ↗
At a glance
Editor score 8.4 7.9
Ranking #10 in Vector Databases #15 in Vector Databases
Best for Teams wanting a mature managed vector service Low-cost serverless vector workloads
Pricing model Free plan + paid Free plan + paid
Starting price — $60/mo
Free plan ✓ ✓
Free trial 21 days —
Deployment Cloud Cloud
Platforms Web Web
Support Community, Docs Email, Community, Docs
Compliance SOC 2, GDPR, HIPAA, SSO/SAML GDPR
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Pinecone 3/3 · Upstash Vector 3/3
Hybrid search ✓ ✓
Metadata filtering ✓ ✓
Sparse vectors ✓ ✓
Specs
Deployment Cloud Cloud
Maximum dimensions Not checked yet 3072 dimensions
Index types Ananas, PQFS, IVF with PQFS DiskANN, FreshDiskANN
SDK languages Python, JavaScript, Java, Go, C# Python, TypeScript, Go, PHP
Our review
Pros
  • Dense, sparse, full-text, and hybrid search in one service
  • Metadata filtering, integrated embeddings, and automatic indexing
  • Enterprise options include BYOC, private endpoints, and audit logs
  • Free plan includes 10,000 daily queries and updates
  • Supports dense, sparse, and hybrid vector indexes
  • REST API, namespaces, filtering, and DiskANN search
Cons
  • Paid plans start at $20 per month
  • Standard and Enterprise have monthly minimum usage
  • The product is not open source
  • 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
Our verdict

Pinecone is a fully managed vector database for engineering teams building AI applications. It stores and retrieves dense and sparse vectors, supports metadata filtering, and provides semantic, lexical, full-text, and hybrid search. Its…

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 →
  1. PineconeVector Databases 8.4Free plan · 21-day trial
  2. Upstash VectorVector Databases 7.9Free plan

Strengths and trade-offs

  • Pinecone — where it wins

    • Dense, sparse, full-text, and hybrid search in one service
    • Metadata filtering, integrated embeddings, and automatic indexing
    • Enterprise options include BYOC, private endpoints, and audit logs

    Where it doesn't

    • Paid plans start at $20 per month
    • Standard and Enterprise have monthly minimum usage
    • The product is not open source
  • 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

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update