Skip to content
Toolradar
Pinecone logo

Pinecone

Claim this toolEditor reviewed

Managed vector database for semantic search and RAG

Vector DatabasesData & DatabasesCloud & Infrastructure
Visit Website
Reviews onG2
39 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Fully managed

Biggest con

Can get expensive

TL;DR - Pinecone

  • Vector database for AI applications
  • Semantic search at scale
  • Integrates with LangChain and more
Pricing: Free plan available
Best for: Growing teams
4.6/5 across review platforms

What is Pinecone?

Editorial review
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

how we evaluateSourcepinecone.io ↗

Pros & Cons

Pros

  • Fully managed
  • Great for AI
  • Fast queries

Cons

  • Can get expensive

Ratings Across the Web

4.6(39 reviews)

Pinecone holds an aggregate rating of 4.6 out of 5 from 39 reviews across G2, last checked March 18, 2026.

G239 reviews
4.6/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Vector databaseSemantic searchSimilarity searchRAG supportDedicated Read NodesSAML SSOHIPAA compliancePrivate networkingAudit logsBYOC deployment

Pricing Plans

Pricing checked Aug 19, 2026

Starter

Free

  • Up to 2 GB storage
  • 2M write units/month
  • 1M read units/month
  • 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
  • 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
  • Customer-managed encryption keys
  • Audit logs
  • Admin APIs
  • HIPAA compliance
  • Pro support
Calculate your costView full pricing

Is Pinecone worth the price?

80/100

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

Dedicated Read Nodes add to Standard cost

Enterprise tier requires custom quote

How Pinecone Compares to Competitors

Compared to Qdrant, which offers a free tier and usage-based pricing that can be competitive, Pinecone's $50 Standard tier provides a clear entry point with dedicated features. Weaviate also has a free tier and usage-based cloud, but Pinecone's explicit tiering might be simpler for some to budget, especially with the $300 trial credits.

Reviews

Improve Your Thinking Patterns Using ChatGPT cover
$99Free with your review

Review Pinecone, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review
4.6/5

Across 39 verified user reviews on G2

Add your hands-on experience using the offer above to help the next buyer.

Best Pinecone Alternatives

Top alternatives based on features, pricing, and user needs.

View full list →
Elasticsearch logo
ElasticsearchFreemium

Distributed search and analytics

4.5
OpenSearch logo
OpenSearchFreemium

Open-source search and analytics suite

4.4
Weaviate logo
WeaviateFreemium

Open-source vector database with ML

4.4
Milvus logo
MilvusFree

Open-source vector database for AI

4.7
Qdrant logo
QdrantFreemium

Vector database for similarity search

4.5
Chroma logo
ChromaPaid

Open-source vector database for AI applications

4.2
See all vector databases tools →

Still deciding?

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

All Pinecone alternatives6+ tools ranked, pricing + verdict per pickPinecone vs ElasticsearchHead-to-head: features, pricing, who winsPinecone vs OpenSearchHead-to-head: features, pricing, who winsPinecone vs WeaviateHead-to-head: features, pricing, who wins

Explore More

Best Vector Databases ToolsBest Data & Databases ToolsBest Cloud & Infrastructure ToolsBest Free Vector DatabasesBest Free Data & DatabasesBest Free Cloud & Infrastructure

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

Guides & Articles

Best Vector Databases in 2026

Features Pinecone

Best RAG Tools and Frameworks in 2026

Features Pinecone

Best Synthetic Data Tools 2026

Expert guide