Try our new research platform with insights from 80,000+ expert users

Pinecone vs Weaviate Enterprise Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 2, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Pinecone
Ranking in Vector Databases
6th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Weaviate Enterprise Cloud
Ranking in Vector Databases
17th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2025, in the Vector Databases category, the mindshare of Pinecone is 7.4%, down from 8.4% compared to the previous year. The mindshare of Weaviate Enterprise Cloud is 2.3%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Pinecone7.4%
Weaviate Enterprise Cloud2.3%
Other90.3%
Vector Databases
 

Featured Reviews

Pcg Guripati - PeerSpot reviewer
Faced challenges with metadata filtering but have achieved reliable long-term memory for chat applications
We were looking at multiple options for a vector database, and we found Pinecone to be the easiest to integrate into our solution. Plus, it has a very generous free tier, which helps us as a startup. The best features Pinecone offers are quick setup and good indexing for us. The retrieval mechanisms are fast, and the integration with Python as with JavaScript and TypeScript libraries that Pinecone provides are very robust. Authentication is also very good. The namespaces feature allows us to break down or store data for each user separately, reducing interference and maintaining privacy as an important feature. 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. We are seeing that the trainees getting trained on the platform are more satisfied with the results or messages generated by AI.
Use Weaviate Enterprise Cloud?
Share your opinion
report
Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.
872,922 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
8%
Manufacturing Company
7%
Comms Service Provider
7%
Comms Service Provider
12%
Computer Software Company
10%
Media Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise1
No data available
 

Questions from the Community

What do you like most about Pinecone?
We chose Pinecone because it covers most of the use cases.
What needs improvement with Pinecone?
One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata. This can cause problems because while vector indexing or vector search is good, if you populat...
What is your primary use case for Pinecone?
My main use case for Pinecone involves storage of chat data, specifically chat transcripts, and retrieval of matched chat messages. We store chat transcripts as vectors in Pinecone. When we have a ...
Ask a question
Earn 20 points
 

Overview

 

Sample 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
1. KLM Royal Dutch Airlines 2. Rabobank 3. Philips 4. ING Bank 5. ABN AMRO Bank 6. Booking.com 7. TomTom 8. Randstad 9. Heineken 10. Shell 11. Unilever 12. ASML 13. Ahold Delhaize 14. DSM 15. AkzoNobel 16. VodafoneZiggo 17. NXP Semiconductors 18. Signify 19. Wolters Kluwer 20. Adyen 21. Aegon 22. Arcadis 23. ASR Nederland 24. BAM Group 25. Boskalis 26. Corbion 27. Fugro 28. Galapagos 29. GrandVision 30. IMCD Group 31. Kendrion 32. OCI
Find out what your peers are saying about Microsoft, Elastic, LanceDB and others in Vector Databases. Updated: October 2025.
872,922 professionals have used our research since 2012.