Pinecone
Serverless vector database with pay-per-use pricing
Overview
Pinecone is a fully managed, serverless vector database for similarity search, RAG and recommendations — auto-scaling storage and query capacity so teams skip running their own vector infrastructure.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 3 Sep 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- 1 serverless index, 2GB storage
- 1 project
- No SLA or RBAC
- Write/read-unit + storage-based billing
- Multiple projects and indexes
- Community + email support
- RBAC, SSO, audit logging
- Uptime SLA
- Dedicated support
- Runs in customer's cloud account
- Custom capacity reservations
- Enterprise compliance controls
Use cases
What you can produce with Pinecone
- Serverless auto-scaling vector indexes
- Sub-second similarity search at billions of vectors
- Multi-cloud (AWS, Azure, GCP) serverless deployment
- Python, JavaScript, Java, Go SDKs
- Metadata filtering and hybrid (sparse+dense) search
- Namespaces for multi-tenant isolation
- Integrations with LangChain, LlamaIndex, and major embedding providers
Pinecone remains the reference point for managed vector databases: serverless architecture that auto-scales without index-sizing decisions, sub-second queries at billions of vectors, and SDKs across Python, JS and Java that make it one of the fastest ways to stand up production retrieval. It's raised $138M total, reached an estimated $26.6M ARR in 2025 (up 66% year over year), and serves roughly 4,000 customers including Notion and Gong — real production scale, not a demo product.
The complaints cluster around cost and lock-in. The Standard plan's $50/month minimum has pushed hobbyists and small projects toward self-hosted alternatives like Chroma or pgvector, and serverless indexes on AWS are still limited to the us-east-1 region, which matters for teams needing data locality outside the US. It's the safest default for teams that want managed reliability over ops burden; self-hosters with predictable, small-scale workloads will find it pricier than necessary.
What people say
Pinecone carries 39 reviews on G2 as one of the more established names in the vector-database category, and the pattern in both G2 and AWS Marketplace reviews is consistent: users like the ease of setup — index creation in under 30 seconds by Pinecone's own account, echoed in reviewer comments about low operational overhead — and the low-latency similarity search that removes the need to hand-tune an ANN index yourself.
The recurring criticism is pricing, and it sharpened after Pinecone moved its Standard plan to a $50/month minimum on top of usage-based rates for writes, reads and storage. A Reddit thread titled roughly "Pinecone's new $50/mo minimum just nuked my hobby project" captured the reaction from smaller users, several of whom said they were evaluating self-hosted alternatives like Chroma or pgvector instead. AWS Marketplace reviewers echo this: the product itself gets praised, but per-project economics get flagged as steep once usage grows past hobby scale.
A second complaint, smaller but recurring, is regional availability — serverless indexes on AWS are limited to us-east-1, and reviewers based outside the US (India was mentioned specifically in one review) said they'd adopt Pinecone more readily with local serverless regions. Multi-cloud serverless has expanded to Azure and GCP per Pinecone's own announcements, but the AWS region constraint remains a live issue for latency- or data-residency-sensitive teams.
On the business side, Pinecone has raised $138M total funding across three rounds, last disclosed at a $750M valuation, with Andreessen Horowitz, ICONIQ Growth and Menlo Ventures among backers. Estimated 2025 revenue was $26.6M ARR, up from $16M in 2023 — real growth, though modest next to newer entrants that have raised far more in a single round (Reducto's $75M Series B, for instance). There have also been reports the company explored a potential sale amid rising competition in the vector-database market, worth knowing as a maturity signal even though Pinecone continues to ship (multi-cloud serverless, new pricing tiers) as an independent company.
Bottom line from the review pattern: reliable, fast, easy to integrate, and the default a lot of teams reach for first — but budget past the free tier carefully, and check the AWS region constraint if you're outside the US.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Pinecone's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Pinecone unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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