by Pinecone Systems, Inc.
Managed vector database for search, RAG and agent memory.
Pick Pinecone if you want retrieval running without operating a cluster and can accept a hosted, closed service. It replaces a self-run vector store for small teams. Skip it if you need read-after-write consistency or self-hosting. It lists 8 regions, and a free Starter plan covers prototypes.
A serverless managed vector index with hosted embedding, reranking and an Assistant service behind one API.
Teams that build on Pinecone's index format and hosted models face a re-embedding and migration job to leave, while open-source rivals and Postgres extensions weaken that lock-in.
Main trade-off
Documented as eventually consistent, with flat metadata rules and monthly minimums on the paid production plans.
| Plan | Storage | Price |
|---|---|---|
| StarterCloud · Trying the product and small applications · US East (N. Virginia), AWS us-east-1 | 2 GB | $0/mo |
| BuilderCloud · Solo developers and small teams · All available regions | 10 GB | $20/mo |
| StandardCloud · Production applications at any scale · All available regions | — | $50/mo |
| EnterpriseCloud · Mission-critical production applications · All available regions | — | $500/mo |
Starter is free. Builder is a flat $20 a month. Standard has a $50 monthly minimum and Enterprise a $500 monthly minimum, then pay as you go. Bring Your Own Cloud is quoted by sales.
Standard and Enterprise include 100 GB of egress a month, then $0.10 per GB. Cross-region restores add a per-GB transfer fee.
As stated by the provider. Ask for the current report before you rely on one.
Pinecone is a managed vector database sold as a serverless service on AWS, GCP and Azure. It stores embeddings and answers similarity queries for search and retrieval-augmented generation. Its differentiator is hosted embedding and reranking models on the same bill, and it publishes a 99.95% uptime SLA for Enterprise.
Serverless indexes
Indexes sit on distributed object storage, and Standard bills storage at $0.33 per GB a month plus read and write units.
Dense, sparse and full-text indexes
All four plans support dense, sparse and full-text index types, so one service covers semantic and keyword retrieval.
Hosted embedding and reranking
Pinecone Inference serves embedding and reranking models, with 5M embedding tokens a month included on Starter (10M through 31 December 2026).
Dedicated Read Nodes
Standard and Enterprise can reserve query infrastructure for an index, which Pinecone says removes noisy neighbours and read rate limits.
Bring Your Own Cloud
Pinecone runs inside your own cloud account and VPC, which Pinecone says needs no SSH, VPN or inbound access.
Postgres extension
pg_pinecone, released 27 October 2026, adds Pinecone search to an existing Postgres database without changing tables.
Enterprise access controls
RBAC and SAML SSO arrive on Standard, and Enterprise adds audit logs, SCIM, service accounts and customer managed keys.
Starter is free, Builder is a flat $20 a month, and Standard and Enterprise have minimum monthly spends of $50 and $500 before pay as you go. On Standard, storage is $0.33 per GB a month, writes are $4 to $4.50 per million and reads are $16 to $18 per million, depending on cloud and region. Enterprise raises writes to $6 to $6.75 and reads to $24 to $27 per million, and egress is $0.10 per GB after 100 GB a month.
Yes. The Starter plan is free and includes up to 2 GB of storage, 2M write units and 1M read units a month, and up to 5 indexes. It runs only in AWS us-east-1 and has community support on Discord. Standard also offers a 3 week trial that includes $300 in credits.
Its pricing page lists 8 regions: AWS us-east-1, us-west-2, eu-west-1, eu-central-1 and ap-southeast-1, GCP us-central1 and europe-west4, and Azure eastus2. Starter is limited to AWS us-east-1. Builder and above can pick any available cloud and region.
Not always. Pinecone's known limitations page states the service is eventually consistent, so there can be a slight delay before upserted records are available to query. It suggests checking index stats to see whether the vector count matches what you expect before querying.
Pinecone's security page shows SOC 2, GDPR and ISO 27001 badges and lets customers request a HIPAA business associate agreement. HIPAA is a paid add-on on Standard and included on Enterprise. Enterprise also adds audit logs, private endpoints and customer managed encryption keys.
Pinecone is a fully managed vector database. You send it embeddings, it stores and indexes them, and your application queries by similarity for semantic search, recommendations and retrieval-augmented generation. Pinecone Systems was founded in 2019 by Edo Liberty, a former research director at AWS and Yahoo, and is headquartered in New York. The company says more than 10,000 customers and 1 million developers use it.
The product is serverless: indexes sit on object storage and you are billed on storage, read units and write units rather than on servers you size. Beyond the core database, Pinecone sells hosted embedding and reranking models, an Assistant service for chat and agent apps, Dedicated Read Nodes for steady query load, and Bring Your Own Cloud, which runs Pinecone inside your own cloud account. It also released pg_pinecone in October 2026, an open-source Postgres extension that brings its search into a database you already run. It plugs into frameworks such as LlamaIndex and LangChain, and its hosted model catalogue includes models from OpenAI and Cohere.
It fits product teams that want retrieval running without operating a cluster: a small team shipping a RAG feature, or a company that needs a managed index with role-based access, SSO and backups. It runs on AWS, GCP and Azure, the clouds of Amazon Web Services, Google and Microsoft. The full list of peers is in the vector database directory, and the guide to AI search and retrieval infrastructure weighs it against them.
Choose Pinecone if a hosted, closed service suits you and you want retrieval running without a cluster to operate. Choose an open-source rival you can run yourself, such as Weaviate, Qdrant or Chroma, if you need to self-host, and choose an embedded option such as LanceDB if you want the database inside your app. Pinecone's own comparison pages name pgvector, Elasticsearch and Vertex AI Vector Search as the alternatives it expects buyers to weigh. If you need hard read-after-write consistency, read the known limitations first, because Pinecone documents its index as eventually consistent.
Plans, regions, the uptime commitment and the compliance list on this page are read from Pinecone Systems, Inc.'s own pages and documentation. The verdict is Hokai's reading of them, not the provider's claim.