Pinecone

Build knowledgeable AI

★★★★★ 4.9/5 from 67 reviews

Databases and backend frameworks AI Infrastructure Tools Cloud Computing Platforms AI Databases

What is Pinecone?

A vector database that makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

Pros & Cons

Pros

Ease of use
Scalability
High-performance vector database
AI integration
Cost effective
Efficient vector search
Fast performance
Developer-friendly
Serverless architecture
Fully managed
Reliable
Context aware
Semantic accuracy
Simple API

Cons

Closed source
Limited index types

Tool Details

Categories	Databases and backend frameworks, AI Infrastructure Tools, Cloud Computing Platforms, AI Databases
Website	www.pinecone.io
Became Popular	April 22, 2023
Platforms	Web
Social	Twitter · LinkedIn

Recent Reviews (9)

bnkd Mar 14, 2025

★★★★★

We used Pinecone for fast, scalable vector search to power NeuraVid’s AI-driven video retrieval. Unlike traditional databases, Pinecone is optimized for vector searches (ANN - Approximate Nearest Neighbor). As NeuraVid processes huge volumes of video embeddings, Pinecone’s fully managed infrastructure scales automatically, handling billions of vectors efficiently & we don't have to worry about it.

Scalability High-performance vector database Fully managed Efficient vector search

Kei Apr 7, 2025

★★★★★

We use Pinecone as our vector database to power Glasp’s AI Clone and Learning Memory. It’s incredibly fast, scalable, and reliable—perfect for managing embeddings from users’ highlights and notes. It enables real-time search and retrieval, making the AI Clone feel personal and instant. Compared to other options, Pinecone’s performance and ease of integration stood out.

Shusuke Dec 9, 2024

★★★★★

We rely on Pinecone to enhance Lambda's AI-driven data insights and semantic search capabilities. Its scalable and efficient vector database allows us to manage and query large datasets with precision, enabling intelligent search and personalized recommendations.

Rachel Nov 5, 2025

★★★★☆

I didn't actually start with Pinecone, but I'm so glad that I ended up there.

Was using trieve until they were purchased by mintlify. So glad I was "nudged along" to switch. Way more powerful AI integration Scalability Ease of use Cant say there's much I'd change other than it's a bit complicated at first.

蒋

蒋伟 Feb 25, 2025

★★★★★

High-Performance Vector Database: Pinecone is optimized for handling vector embeddings, making it ideal for machine learning and AI applications that require fast and efficient similarity search. Scalability: Pinecone is designed to scale effortlessly, allowing users to manage large datasets and high query loads without compromising performance. Ease of Use: Pinecone offers a simple API and managed service, reducing the complexity of deploying and maintaining a vector database, which is particularly beneficial for developers and data scientists.

Scalability Ease of use Simple API High-performance vector database

Tim Sep 30, 2024

★☆☆☆☆

This "database" did not have a non SAAS version, is not open source and did not support the index types or scale that I needed. I switched to Milvus.

Closed source Limited index types

Clint Feb 18, 2024

★★★★★

Effortless, we use it to support an AI agent in one of our tools. Serverless has reduced costs to a fraction!

AI integration Serverless architecture Ease of use Cost effective

Дмитрий Sep 26, 2024

★★★★★

Integrating Pinecone into my existing stack was straightforward, and the performance has been stellar.