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Pinecone Reviews

Vendor: Pinecone
4.1 out of 5
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What is Pinecone?

Pinecone is a powerful tool for efficiently storing and retrieving vector embeddings. It is highly praised for its scalability, speed, and ease of integration with existing workflows. 

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Pinecone is the #7 ranked solution in top Vector Databases solutions. PeerSpot users give Pinecone an average rating of 8.2 out of 10. Pinecone is most commonly compared to Elastic Search: Pinecone vs Elastic Search. Pinecone is popular among the large enterprise segment, accounting for 54% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 15% of all views.
Buyer's Guide
Pinecone
October 2025
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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 30, 2025Download
ProductReviews, tips, and advice from real usersOct 30, 2025Download
ComparisonPinecone vs Microsoft Azure Cosmos DBOct 30, 2025Download
ComparisonPinecone vs Elastic SearchOct 30, 2025Download
Suggested products
TitleRatingMindshareRecommending
Elastic Search4.14.5%97%78 interviewsAdd to research
Redis4.45.0%100%23 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Pinecone excels with similarity search, maximal marginal relevance, semantic search, managed service, and private local host features. Users appreciate easy integration, robust SDKs, quick setup, and good indexing. Generous free tier aids startups. Pinecone supports flexible data dimensions and privacy through namespaces. Integration with Python, JavaScript, and TypeScript is robust. Authentication is strong. Organizations notice improved efficiency, personalization in chats, and satisfied trainees with Pinecone's vector database. Its features enhance user interaction with stored data.
  • "Pinecone has positively impacted our organization by enhancing efficiency for the team, and the long-term effect has been that the chats have become much more personalized due to the memory added through a vector database."
  • "Pinecone has positively impacted our organization by enhancing efficiency for the team, and the long-term effect has been that the chats have become much more personalized due to the memory added through a vector database."
  • "The best thing about Pinecone is its private local host feature. It displays all the maintenance parameters and lets us view the data sent to the database. We can also see the status of the CD and which application it corresponds to."

Room for Improvement

Pinecone requires improvement in onboarding, user-friendliness, and storage structure, transitioning from pod-based to serverless. There is a need for faster search performance, especially when using metadata tags. Confirmation for vector deletions is lacking, impacting user experience. The tool should be more budget-friendly and simplify the login process. Metadata-based search capability is sought, and better embeddings along with increased sizes would enhance functionality for various use cases.
  • "One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata."
  • "One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata."
  • "Pinecone can be made more budget-friendly."

ROI

Users have reported significant improvements in their productivity and efficiency, with the product streamlining their workflow and saving them valuable time. 

The advanced search and organization features have been praised for their effectiveness in quickly finding and retrieving information. 

Additionally, users have highlighted the seamless integration with other tools and platforms, further enhancing their overall experience. 

Pricing

Enterprise users have mixed experiences with Pinecone's pricing. Some find it initially expensive, paying $70 per index, but appreciate its affordable pay-as-you-go model, reducing costs to $4 for similar use cases. Others feel it significantly increases budgets compared to open-source options, despite offering no setup costs. Users acknowledge it as a cost-effective solution compared to other vector databases, with licensing and pricing seen as decent depending on storage needs.
  • "Pinecone is not cheap; it's actually quite expensive. We find that using Pinecone can raise our budget significantly. On the other hand, using open-source options is more budget-friendly."
  • "I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."
  • "The solution is relatively cheaper than other vector DBs in the market."

Popular Use Cases

Organizations primarily utilize Pinecone as a vector database to store and retrieve data, including industry documents, PDFs, and chat data. It is employed for applications such as ERP dashboards, chatbots, and semantic search. Pinecone is integrated with tools like Azure and Redis for enhanced functionality, handling tasks like data augmentation, embedding publications, and acting as long-term memory storage. Its stability and reliability make it a favored choice.

Service and Support

have praised the company for their prompt and helpful responses to inquiries and issues. The support team is described as knowledgeable and friendly, providing effective solutions to customers' problems. 

Deployment

Pinecone's initial setup is praised for its simplicity and efficiency. Users experience easy installation whether on-premises or in the cloud, with commands and libraries simplifying the process. They mention quick deployment and straightforward integration, highlighting the importance of configuring endpoints and pushing metadata to the database. Pinecone's flexible functionality, low setup cost, and decent pricing based on storage usage contribute to a positive experience, with users finding the installation process smooth and uncomplicated.

Scalability

Pinecone demonstrates strong scalability with seamless integration and efficient metadata management. Multiple teams easily manage workloads, encountering no significant issues. Users cite Pinecone's capability to efficiently store and index numerous items, ensuring fast retrievals, often within microseconds. Various teams, from development to SaaS project groups, find it straightforward to adjust their database configurations, experiencing no errors during updates. Adding users and handling increased tasks is effortless, highlighting Pinecone's robust scalability features across diverse environments.

Stability

Pinecone is perceived as stable, earning an eight out of ten for stability. Users rely on it for enterprise tasks, noting its reliability without downtime or major latency issues. Occasionally, there are breakdowns, such as server crashes during data retrieval, but they are infrequent. Despite minor errors, Pinecone is appreciated for its ease of use and user-friendly nature when compared to other databases.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Pinecone Buyer's Guide for additional reliable information.

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 Enterprise221
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%
Educational Organization
6%
University
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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Learn more about Pinecone

Users find it particularly useful for similarity search, recommendation systems, and natural language processing. 

Its efficient search capabilities, seamless integration with existing systems, and ability to handle large-scale datasets make it a valuable tool for data analysis and retrieval.

Pinecone customers

1. Airbnb 2. DoorDash 3. Instacart 4. Lyft 5. Pinterest 6. Reddit 7. Slack 8. Snapchat 9. Spotify 10. TikTok 11. Twitter 12. Uber 13. Zoom 14. Adobe 15. Amazon 16. Apple 17. Facebook 18. Google 19. IBM 20. Microsoft 21. Netflix 22. Salesforce 23. Shopify 24. Square 25. Tesla 26. TikTok 27. Twitch 28. Uber Eats 29. WhatsApp 30. Yelp 31. Zillow 32. Zynga

Related questions

  • 44
When evaluating Vector Databases, what aspect do you think is the most important to look for?
  • 14
Why is Vector Databases important for companies?

Product Categories

Product Categories
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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.