Pinecone is a managed vector database for machine learning applications. Build semantic search, recommendations, and RAG applications with high-performance similarity search.

Available on: Web

Louis Corneloup Updated May 26, 2026 · how we evaluate Source pinecone.io ↗

Ratings Across the Web

4.2 (68 reviews)

Pinecone holds an aggregate rating of 4.2 out of 5 from 68 reviews across G2 and Trustpilot, last checked August 29, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

Vector database
Semantic search
Similarity search
RAG support
Dedicated Read Nodes
SAML SSO
HIPAA compliance
Private networking
Audit logs
BYOC deployment

Pricing Plans

Pricing checked Oct 10, 2026

Pinecone plans and prices, checked October 2026
Plan	Price	Details
Starter	$0	Up to 2 GB storage 2M write units/month 1M read units/month +4 more Show less 5 indexes max Community support (Discord) Pinecone Database, Inference, Assistant Console metrics
Standard	$50	$0.33/GB storage $4-16 per million read/write units Dedicated Read Nodes +5 more Show less 20 indexes per project 100K namespaces per index SAML SSO and API Key RBAC Backup and restore Prometheus metrics
Enterprise	$500	Everything in Standard 99.95% uptime SLA Private networking +5 more Show less Customer-managed encryption keys Audit logs Admin APIs HIPAA compliance Pro support

Calculate your cost View full pricing

Is Pinecone worth the price?

Good value

Pinecone's pricing model is fair and offers good flexibility.

The Starter tier is generous for initial exploration, while the Standard tier at $50/month provides a solid foundation for growing applications with usage-based storage and read/write units. It's best for developers and startups looking to integrate vector search without a huge upfront commitment, scaling up as needed.

Hidden Costs & Gotchas

Usage-based fees for storage, reads, writes on Standard

Full Pinecone pricing: every plan, hidden costs and alternatives

Reviews

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4.2/5

Across 68 verified user reviews on G2, Trustpilot

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

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Pinecone FAQ

How does Pinecone support machine learning applications?

Pinecone is a managed vector database specifically designed for machine learning applications. It enables high-performance similarity search, which is crucial for building features like semantic search and recommendation engines.

Which teams would benefit most from using Pinecone?

Teams developing AI-powered applications, particularly those focused on semantic search, recommendations, or RAG (Retrieval Augmented Generation), would find Pinecone most beneficial. Its fully managed nature simplifies the infrastructure burden for these teams.

How is Pinecone priced?

Pinecone offers a free tier for users to get started. For more extensive usage and additional features, paid plans are available.

What kind of applications can be built using Pinecone?

Pinecone allows users to build applications requiring high-performance similarity search, such as semantic search, recommendation systems, and RAG applications. It provides the necessary database infrastructure for these machine learning use cases.

What are the main trade-offs when considering Pinecone?

While Pinecone offers fast queries and is great for AI, a potential trade-off to consider is that its usage can become expensive. This is a factor to weigh against its fully managed benefits.

How does Pinecone compare to Weaviate?

Pinecone, like Weaviate, is a vector database designed for machine learning applications, offering high-performance similarity search. Pinecone emphasizes its fully managed nature and fast queries for AI-driven use cases.

Source: pinecone.io

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