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Pinecone vs Weaviate

The same facts the Atlas reads for every tool, side by side, each with its page and date. No winner: which fits depends on the job.

Pinecone logoPineconepinecone.ioStores and retrieves vector embeddings at scale for retrieval-augmented generation and agent knowledge systems.From $20/moWidely usedActively maintainedWeaviate logoWeaviateweaviate.ioVector database that stores, indexes, and searches high-dimensional vectors for retrieval-augmented generation and semantic search.From $45/moEstablishedActively maintained
Where they differcomputed from the facts below

Where they differ

Pinecone≈ 91K
Weaviate≈ 5.3K

visits a month · estimate · log scale

  • 17×Pinecone gets about 17× the visits of Weaviate.visit estimates, read 2026-09-17
  • $20Pinecone starts lower: $20/mo against $45/mo.pricing pages, read 2026-09-17 and 2026-09-17
  • FreeBoth have a free plan.pricing pages, read 2026-09-17 and 2026-09-17
  • SOC 2Both name SOC 2 on their pages.their trust and security pages
PineconeWeaviate

Price & plans

Price & plansPineconeWeaviate
PriceFree plan · From $20/mopricing page, read 2026-09-17Free plan · From $45/mopricing page, read 2026-09-17
Free planYespricing page, read 2026-09-17Yespricing page, read 2026-09-17
Paid plans from$20/mopricing page, read 2026-09-17$45/mopricing page, read 2026-09-17
Free trialfree trialpricing pagenot on their pricing page

Who it's for & what it does

Who it's for & what it doesPineconeWeaviate
What it isStores and retrieves vector embeddings at scale for retrieval-augmented generation and agent knowledge systems.Vector database that stores, indexes, and searches high-dimensional vectors for retrieval-augmented generation and semantic search.
ForAI teams building retrieval-augmented generation systems and agentic applicationsAI teams and developers building production search, RAG, and agent applications
What people do with it
  • Store and retrieve vector embeddings for semantic search
  • Compile enterprise data into governed knowledge for AI agents
  • Monitor index performance and manage vector database operations
  • Store and search high-dimensional vectors at scale
  • Build retrieval-augmented generation systems
  • Query databases using natural language
How it runsHosted only · APIAPI · SDK
ShelfRetrieval (RAG)Retrieval (RAG)

Use & momentum

Use & momentumPineconeWeaviate
UseWidely usedEstablished
Visits≈ 91k visits/moestimate, read 2026-09-17≈ 5.3k visits/moestimate, read 2026-09-17
iPhone appiPhone & iPad · 0★ from 0 ratingsiPhone & iPad · updated 2026-04-08none found
ActivityActively maintainedrelease 2 days ago · site updated yesterday · 5 open rolesActively maintainedsite updated yesterday

Your data & compliance

Your data & compliancePineconeWeaviate
CertificationsSOC 2 Type II · HIPAA · GDPRtheir wordsSOC 2 Type II · ISO 27001 · HIPAAtheir words

For developers: API & MCP

For developers: API & MCPPineconeWeaviate
OpenAPI spec47 pathsthe specnone found
Status pageall systems operationalstatus.pinecone.ionone found

The company

The companyPineconeWeaviate
Founded2019per their sitenot on record
Peoplenot on record~90per their About page
Raisednot on record$50M · Series Bper their About page
HeadquartersNew York, USper their siteAmsterdam, NLper their site
Questions this page answers
  • What is the difference between Pinecone and Weaviate?

    Pinecone: Stores and retrieves vector embeddings at scale for retrieval-augmented generation and agent knowledge systems. Weaviate: Vector database that stores, indexes, and searches high-dimensional vectors for retrieval-augmented generation and semantic search.

  • Which is cheaper, Pinecone or Weaviate?

    Pinecone starts at $20/mo (pricing page, 2026-09-17); Weaviate starts at $45/mo (pricing page, 2026-09-17). Plans and limits differ; both pages are linked above.

  • Which is more widely used, Pinecone or Weaviate?

    Pinecone: about 91k visits/mo; Weaviate: about 5.3k (estimates, 2026-09-17).

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.