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Pinecone−63 Strong negative

GILD Review

GILD's call and the buying facts behind it.

From GILD research

Should we adopt Pinecone?

When is Pinecone's managed vector database worth its plan minimums and hosted-only model?

  1. 30-Second TakePick Pinecone if your team wants hosted vector search and your data can sit in Pinecone's regions.
  2. Best fitTeams that want hosted vector search with embedding and reranking built in, and accept a hosted service in Pinecone's listed regions.GILD Review
  3. Consider another workflowIf your data already lives in Postgres or must stay on your own servers, pgvector or a self-hosted Qdrant keeps it there. Confident AI and WSO2 moved their vectors to pgvector, and OpenFn is moving its embeddings to Postgres to manage one database.GILD Review

Drawn from 64 sources and 4 operator insights

GILD analysis

Pinecone Review

Pinecone gives a team a managed vector database with hybrid search, hosted embedding and reranking, namespaces and Enterprise controls, billed by read units, write units and storage past monthly minimums. Practitioners praise having nothing to run, and report the US$50 Standard minimum on light use, growing bills, SDK and Terraform defects, and the lack of on-premises or in-country hosting. Adopt it when a hosted store fits your data rules and you have priced your workload at Standard rates.

  • Vector Databases
  • AI Costs

The decision

Best fit
Teams that want hosted vector search with embedding and reranking built in, and accept a hosted service in Pinecone's listed regions.
Consider another workflow
If your data already lives in Postgres or must stay on your own servers, pgvector or a self-hosted Qdrant keeps it there. Confident AI and WSO2 moved their vectors to pgvector, and OpenFn is moving its embeddings to Postgres to manage one database.
Adoption condition
A workload priced in read and write units at Standard rates, SDK versions pinned and tested, and Enterprise if you need SCIM, private endpoints or Bring Your Own Cloud, or Enterprise or the HIPAA add-on for audit logs.

Basis: Pinecone's pricing page, documentation, security page, Trust Center and Master Subscription Agreement stored on November 1, 2026, four named deployment accounts (Shortwave, Omi, Confident AI and OpenFn), and 40 public accounts from people using Pinecone. Not a GILD performance benchmark.

Buying & deployment factsWhat a team building on it should verify before production traffic grows.
How you buy it

Free to US$500 minimum

Starter is US$0 and Builder US$20 a month flat. Standard and Enterprise bill usage past their minimums.

Source 1, Pinecone, Understanding cost: Understanding costSource 5, Pinecone, Pricing: PricingSource 3, Pinecone, Upgrade billing plan: Upgrade billing plan

Details

Starter costs US$0 a month, Builder US$20 a month flat, and Standard and Enterprise carry monthly minimums of US$50 and US$500. On Standard and Enterprise, customers are charged for usage beyond the monthly minimum. Builder blocks additional usage beyond its limits. A Standard trial gives US$300 in credits over 21 days, one per organization. Pay by credit or debit card, or through a supported cloud marketplace if your organization is on the Starter plan. Builder is card only.

Cost drivers

US$16 to US$18

Per million read units on Standard, plus write units, storage at US$0.33 per GB and egress.

Source 1, Pinecone, Understanding cost: Understanding costSource 5, Pinecone, Pricing: PricingSource 17, Pinecone, Bring Your Own Cloud: Bring Your Own Cloud

Details

Serverless usage is metered by read units, write units, storage and egress. Imports, backups, embedding and reranking are billed on their own. Standard lists storage at US$0.33 per GB a month, write units at US$4 to US$4.50 per million and read units at US$16 to US$18 per million, varying by cloud and region. A query uses 1 read unit for every 1 GB of namespace size, with a minimum of 0.25.

Where it runs

Managed or your cloud

AWS, GCP and Azure regions. Starter runs in us-east-1 only, and BYOC needs Enterprise.

Source 7, Pinecone, Index configuration: Index configurationSource 18, Pinecone, Object limits: Object limitsSource 6, docs.pinecone.io, Bring Your Own Cloud: deploy: Bring Your Own Cloud: deploySource 17, Pinecone, Bring Your Own Cloud: Bring Your Own Cloud

Details

Pinecone runs on fully managed infrastructure. Indexes run on 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 indexes run in AWS us-east-1 only, and a serverless index's cloud and region can't be changed after it is created. Bring Your Own Cloud deploys the data plane in your own AWS, GCP or Azure account, requires the Enterprise plan and does not support integrated embedding and inference.

What to verify

SCIM on Enterprise

SSO on Standard and Enterprise. Audit logs need Enterprise or the US$190 HIPAA add-on.

Source 25, Pinecone, SCIM with Okta: SCIM with OktaSource 24, Pinecone, SSO with Okta: SSO with OktaSource 26, Pinecone, Configure audit logs: Configure audit logsSource 1, Pinecone, Understanding cost: Understanding cost

Details

SSO is available on Standard and Enterprise. SCIM is listed on Enterprise. Audit logs are available only on Enterprise or with the HIPAA compliance add-on, which costs US$190 per month on Standard with a 6-month minimum. Pinecone is SOC2 Type II certified and HIPAA compliant, with a BAA available upon request. You can bring your own vectors, and dense vectors can have up to 20,000 dimensions.

Sourced from Pinecone documentation