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Managed services - verified

Pinecone

Pinecone is listed under managed services (deployment type: managed serverless). First listed price, in its own unit: Free, plan price (Starter). Max dimensions: 20,000 (dense vectors). Stated: hybrid and sparse search, built-in embedding and built-in reranking. Read from the vendor's own pages on October 18, 2026.

Read from docs.pinecone.io, pinecone.io. Docs - Pricing - Compare every vector database

Status

Availability label

GA

“aws us-east-1 (Virginia) Starter, Builder, Standard, Enterprise General availability”
docs.pinecone.io

How Pinecone charges

Every price Pinecone states, in its own unit, with the quote and where it comes from. Nothing is converted.

9 price rows in each product's own unit, grouped by unit and sorted only inside a unit
PriceUnit, as statedQuote and sourceWhere it comes from
Plan price or monthly minimum
Freeplan price (Starter)
“Starter For trying out and for small applications. Start for Free Free”
pinecone.io
-
$20plan price per month, flat (Builder)
“Builder NEW For solo developers and small teams. Get Started $20/month flat”
pinecone.io
-
$50minimum usage per month (Standard)
“You'll be charged a minimum of $50/month. Once your usage exceeds this amount, you'll pay as you go.”
pinecone.io
-
$500minimum usage per month (Enterprise)
“You'll be charged a minimum of $500/month. Once your usage exceeds this amount, you'll pay as you go.”
pinecone.io
-
Per GB-month stored
$0.33per GB-month storage (Standard and Enterprise)
“Storage Up to 2 GB Up to 10 GB Unlimited $0.33/GB/mo Unlimited $0.33/GB/mo”
pinecone.io
-
Per 1M read or write units
$4-$4.50per 1M write units (Standard; varies by cloud and region)
“Unlimited $4-$4.50 per million (varies by cloud and region)”
pinecone.io
-
$6-$6.75per 1M write units (Enterprise; varies by cloud and region)
“Unlimited $6-$6.75 per million (varies by cloud and region)”
pinecone.io
-
$16-$18per 1M read units (Standard; varies by cloud and region)
“Unlimited $16-$18 per million (varies by cloud and region)”
pinecone.io
-
$24-$27per 1M read units (Enterprise; varies by cloud and region)
“Unlimited $24-$27 per million (varies by cloud and region)”
pinecone.io
-

Plan labels in brackets come from the pricing table's column headings, which the quoted cell text does not always repeat.

Free tier and limits

Free tier

Starter plan includes up to 1M read units per month (with storage up to 2 GB and up to 2M write units per month)inferred

Our reading: The Starter figures are the first column of the pricing table, mapped by the pricing table's column order; the quoted row does not name the plans.

“Read Units Up to 1M/mo Up to 2M/mo”
pinecone.io
“Storage Up to 2 GB Up to 10 GB”
pinecone.io
“Write Units Up to 2M/mo Up to 5M/mo”
pinecone.io
Limits

Namespaces per serverless index: 100 (Starter) to 1,000,000 (Enterprise)

“Namespaces per serverless index vary by plan (100 on Starter to 1,000,000 on Enterprise).”
docs.pinecone.io

Search and indexing

Max dimensions

20,000

Applies to: dense vectors

“Max dimensionality for dense vectors 20,000”
docs.pinecone.io
Distance metrics

euclidean, cosine, dotproduct

“Euclidean Querying indexes with this metric returns a similarity score equal to the squared Euclidean distance between the result and query vectors.”
docs.pinecone.io
“Cosine This is often used to find similarities between different documents.”
docs.pinecone.io
“Dotproduct This multiplies two vectors to measure how similar they are.”
docs.pinecone.io
Index types
Not stated

The indexing and index-configuration docs checked describe serverless dense, sparse and full-text indexes but do not name the ANN algorithm used.

Hybrid and sparse search

Yes: BM25 full-text search, sparse vectors and dense vectors in one index

“A single index can serve full-text search (BM25 with Lucene queries), semantic search, and sparse-vector search together, often covering what previously required two indexes.”
docs.pinecone.io
Metadata filtering

Yes

“Pinecone indexes metadata for filtering, so a query can include a metadata filter to limit the search.”
docs.pinecone.io
Multi-tenancy

Namespaces (one per tenant)

“Multitenancy: When you need to isolate data between customers, you can use one namespace per customer and target each customer's writes and queries to their dedicated namespace.”
docs.pinecone.io

Built-in embedding and reranking

Built-in embedding

Yes

“You can either use Pinecone's integrated embedding models to convert your data to vectors automatically, or use an external embedding model and bring your own vectors to Pinecone.”
docs.pinecone.io
Built-in reranking

Yes

“To rerank initial results as an integrated part of a query, without any extra steps, use the Search with text operation with the rerank parameter, including the hosted reranking model you want to use”
docs.pinecone.io

Deployment, license and SDKs

Regions and clouds

AWS (us-east-1, us-west-2, eu-west-1, eu-central-1, ap-southeast-1), GCP (us-central1, europe-west4), Azure (eastus2)

“aws us-east-1 (Virginia) Starter, Builder, Standard, Enterprise General availability aws us-west-2 (Oregon) Builder, Standard, Enterprise General availability aws eu-west-1 (Ireland) Builder, Standard, Enterprise General availability aws eu-central-1 (Frankfurt) Builder, Standard, Enterprise General availability aws ap-southeast-1 (Singapore) Builder, Standard, Enterprise General availability gcp us-central1 (Iowa) Builder, Standard, Enterprise General availability gcp europe-west4 (Netherlands) Builder, Standard, Enterprise General availability azure eastus2 (Virginia) Builder, Standard, Enterprise General availability”
docs.pinecone.io
BYOC and self-host

BYOC listed on the Enterprise planinferred

Our reading: Read as the Enterprise plan: the quoted list opens with Everything in Standard, the pricing page's lead-in for the tier above Standard.

“Everything in Standard 99.95% Uptime SLA Bring Your Own Cloud (BYOC)”
pinecone.io
License
Not stated

No open-source license is stated on the pricing or documentation pages checked.

SDKs

Python, Node.js, Java, Go

“Official Pinecone SDKs provide convenient access to the Pinecone APIs. Python SDK Node.js SDK Java SDK Go SDK”
docs.pinecone.io

Vendor-stated claims

Performance, scale and SLA figures as Pinecone states them. Not measured.

99.95% uptime SLA on Enterprisevendor-statedinferred

Our reading: Read as the Enterprise plan: the quoted list opens with Everything in Standard, the pricing page's lead-in for the tier above Standard.

“Everything in Standard 99.95% Uptime SLA”
pinecone.io

Research notes

The pricing page lists a new Builder plan ($20/month flat) between Starter and Standard. Starter-plan indexes are limited to AWS us-east-1. As of API version 2026-07 the REST create-index call is schema-only (docs: "As of API version 2026-07, POST /indexes in the REST API is schema-only"). The Java SDK targeting API 2026-04 and 2026-07 is listed as "Coming soon".

FAQ

How much does Pinecone cost?

In Pinecone's own units: Free (plan price (Starter)); $20 (plan price per month, flat (Builder)); $50 (minimum usage per month (Standard)); $500 (minimum usage per month (Enterprise)); $0.33 (per GB-month storage (Standard and Enterprise)); $4-$4.50 (per 1M write units (Standard; varies by cloud and region)); $6-$6.75 (per 1M write units (Enterprise; varies by cloud and region)); $16-$18 (per 1M read units (Standard; varies by cloud and region)); $24-$27 (per 1M read units (Enterprise; varies by cloud and region)). As of October 18, 2026; prices are not converted.

What is the maximum vector dimension in Pinecone?

20,000 (dense vectors), per the vendor: "Max dimensionality for dense vectors 20,000"

Does Pinecone support hybrid search?

Yes: BM25 full-text search, sparse vectors and dense vectors in one index, per the vendor: "A single index can serve full-text search (BM25 with Lucene queries), semantic search, and sparse-vector search together, often covering what previously required two indexes."

Does Pinecone have built-in embedding or reranking?

Embedding: Yes. Reranking: Yes.

Sources

Last verified from each vendor's own docs, pricing pages, READMEs and license files; every quote was string-matched against the page that day. This is a dated snapshot, not a benchmark: prices are shown in each product's own unit and change without notice, so check the linked source before you commit.

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