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 These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete.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
ASEAN Perspective
Pinecone in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
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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