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Pinecone Reviews

Vendor: Pinecone
4.1 out of 5

What is Pinecone?

Featured Pinecone reviews

Pinecone mindshare

As of October 2025, the mindshare of Pinecone in the Vector Databases category stands at 7.5%, down from 8.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Pinecone7.5%
Chroma10.8%
Supabase Vector10.0%
Other71.7%
Vector Databases

PeerResearch reports based on Pinecone reviews

TypeTitleDate
CategoryVector DatabasesOct 16, 2025Download
ProductReviews, tips, and advice from real usersOct 16, 2025Download
ComparisonPinecone vs Microsoft Azure Cosmos DBOct 16, 2025Download
ComparisonPinecone vs Elastic SearchOct 16, 2025Download
Suggested products
TitleRatingMindshareRecommending
Elastic Search4.14.5%97%76 interviewsAdd to research
Redis4.45.0%100%23 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise1
By reviewers
By visitors reading reviews
Company SizeCount
Small Business111
Midsize Enterprise74
Large Enterprise219
By visitors reading reviews

Top industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
8%
Manufacturing Company
7%
Comms Service Provider
7%
University
6%
Educational Organization
6%
Retailer
5%
Healthcare Company
5%
Performing Arts
4%
Government
3%
Legal Firm
3%
Recreational Facilities/Services Company
3%
Pharma/Biotech Company
2%
Media Company
2%
Non Profit
2%
Outsourcing Company
2%
Insurance Company
2%
Construction Company
2%
Hospitality Company
2%
Energy/Utilities Company
2%
Security Firm
1%
Real Estate/Law Firm
1%
Logistics Company
1%
Wellness & Fitness Company
1%
Transportation Company
1%
Consumer Goods Company
1%
Marketing Services Firm
1%
Venture Capital & Private Equity Firm
1%
Wholesaler/Distributor
1%

Compare Pinecone with alternative products

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Pinecone customers

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Pinecone Reviews Summary
Author infoRatingReview Summary
Chief Technology Advisor at Kovaad technologies Pvt Ltd5.0I've been using Pinecone to store and retrieve chat transcripts, and it's easy to integrate, fast, and reliable. It greatly improved our AI's personalization, though I wish it allowed metadata-based search for better filtering.
SDE at Alphablocks4.0I use Pinecone as a vector database for chatbots and AI applications due to its effective semantic search capabilities. However, it lacks feedback on deletions and has slow search speeds. I compared it with Weaviate and chose both for projects.
Artificial Intelligence Consultant at GlobalLogic4.0I used Pinecone with an Azure database to create a chatbot that accessed public media. Pinecone's managed service is its standout feature, offering flexibility and ease of use. However, it could be more budget-friendly. We chose it over other solutions for its superior UI.
Chief Executive Officer at Nyx CodeCraft4.0We built an ERP dashboard using Pinecone for its reliability and comprehensive use. The tool excels in data collection and retrieval, though its onboarding process could be improved. Previously, we used PG vector for prototype testing before settling on Pinecone.
Machine Learning Engineer at a consumer goods company with 51-200 employees4.0I like Pinecone for its data storage features and free learning options. It supports research and server interaction, though local support for testing could improve. While it's a good tool, I've used it minimally and consider alternatives.
Data Science Trainee at a consultancy with 11-50 employees4.0I used Pinecone to streamline token generation for my chatbot's functionality, finding its private local host feature especially valuable. However, I prefer accessing the environment directly without requiring a login and API key. Previously, I used Corner DB.
Full-stack Engineer at a security firm with 201-500 employees4.0In my company, we utilize Pinecone to store industry documents for a RAG application, valuing its similarity and maximal marginal relevance search features. However, its storage isn't serverless and relies on pod-based capacity, which needs improvement.