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Pinecone

Vector database for machine learning

As of 30 August 2026, Pinecone has a free plan and paid plans start at $20/month. Pinecone is a fully managed vector database designed for machine learning applications. Softwr lists it under Machine Learning. Pinecone is launched in 2019, available on Web.

Overview

What Pinecone does

Pinecone is a fully managed vector database designed for machine learning applications. It provides fast and scalable similarity search for embeddings, enabling semantic search, recommendation systems, and retrieval-augmented generation at production scale.

What people use it for

  • Vector database for AI/ML applications
  • Semantic search implementation
  • Recommendation systems
  • RAG (Retrieval-Augmented Generation) architectures

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Pinecone.

  • Reads and writes are billed on separate meters, and reads are far more expensive, at $16 to $18 per million against $4 to $4.50 for writes on Standard
  • Unit prices vary by region, so the same workload costs different amounts in different places
  • The Standard plan carries a $50 monthly minimum and Enterprise $500, charged whether or not the usage reaches it
  • Enterprise pays more per unit as well as more in minimum, at $24 to $27 per million reads against Standard's $16 to $18
  • Indexes and namespaces are capped by plan, at 5 indexes on the free tier and 20 on Standard
  • RBAC and SSO require the Standard plan

Cross-shopped

What people choose instead of Pinecone

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

Pricing

What Pinecone costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Starter

Free

  • 2GB storage
  • 2M write units/month
  • 1M read units/month
  • Dense/Sparse/Full-Text indexes
  • Console metrics
  • Community Discord support

Builder

$20 /mo

  • 10GB storage
  • 5M write units
  • 2M read units
  • 5 projects
  • Up to 5 users
  • Prometheus/Datadog monitoring

Standard

$50 /mo

  • Unlimited storage ($0.33/GB/month)
  • 20 indexes per project
  • 100K namespaces
  • Dedicated Read Nodes
  • Backup/restore capability
  • RBAC (Role-Based Access Control)

Enterprise

$500 /mo

  • 99.95% uptime SLA
  • BYOC (Bring Your Own Cloud) option
  • Private endpoints
  • Customer-managed encryption
  • Audit logs
  • HIPAA compliance

Capabilities

Features

  • Vector similarity search

  • Metadata filtering

  • Namespace partitioning

  • Real-time updates

  • Hybrid search

  • OpenAI

    Integration with OpenAI

  • Cohere

    Integration with Cohere

  • LangChain

    Integration with LangChain

  • LlamaIndex

    Integration with LlamaIndex

  • Hugging Face

    Integration with Hugging Face

  • Web support

    Available on web

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Does Pinecone offer a free plan?

Yes, Pinecone's Starter tier is free and includes 2GB storage, 2M write units/month, 1M read units/month, and supports up to 2 users and 1 project.

Source
What are Pinecone's storage costs on the Standard plan?

On the Standard plan, storage costs $0.33/GB per month. Read units cost $16-18 per million units; write units cost $4-4.50 per million units.

Source
What support options does Pinecone provide?

Starter tier includes community Discord support. Builder tier includes free support. Standard tier support costs $29/month for Developer or $250/month for Pro. Enterprise tier includes Pro support.

Source

Behind it

Who makes Pinecone

Company
Pinecone
Based in
San Francisco, California
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Softwr does not host reviews and shows no star rating for Pinecone, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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