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Chroma vs Pinecone comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 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

Chroma
Ranking in Vector Databases
9th
Average Rating
8.6
Reviews Sentiment
5.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Pinecone
Ranking in Vector Databases
7th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Vector Databases category, the mindshare of Chroma is 10.8%, down from 15.4% compared to the previous year. The mindshare of Pinecone is 7.5%, down from 8.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Pinecone7.5%
Chroma10.8%
Other81.7%
Vector Databases
 

Featured Reviews

Sameer Bhangale - PeerSpot reviewer
Used for RAG (Retrieval-augmented generation) and provides good documentation
If I have to deploy my application in a scalable environment with lots of data and users, I sometimes need to create multiple instances of my database or have a distributed database across different machines. Using Kubernetes, I can quickly increase the horizontal spread of Milvus because it is containerized and readily available. I don't have to do anything by myself. New users can go to Chroma's 'Get Started' page and follow it like a tutorial. Then, they will be ready to use the solution. Chroma has helped us reduce the overall project post production time. Overall, I rate the solution an eight out of ten.
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.

Quotes from Members

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

Pros

"The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it."
"It's very easy to set up and runs easily."
"We chose Pinecone because it covers most of the use cases."
"The product's setup phase was easy."
"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
"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."
"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 most valuable feature of Pinecone is its managed service aspect. There are many vector databases available, but Pinecone stands out in the market. It is very flexible, allowing us to input any kind of data dimensions into the platform. This makes it easy to use for both technical and non-technical users."
"The semantic search capability is very good."
 

Cons

"I think Chroma doesn't have a ready-made containerized image available."
"The hybrid algorithm needs improvement."
"I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly."
"Pinecone can be made more budget-friendly."
"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."
"The tool does not confirm whether a file is deleted or not."
"One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata."
"Onboarding could be better and smoother."
"One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata."
"The product fails to offer a serverless type of storage capacity."
 

Pricing and Cost Advice

"The current version is an open-source."
"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 have experience with the tool's free version."
"The solution is relatively cheaper than other vector DBs in the market."
"I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
10%
University
8%
Computer Software Company
15%
Financial Services Firm
8%
Manufacturing Company
7%
Comms Service Provider
7%
 

Company Size

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

Questions from the Community

What do you like most about Chroma?
The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it.
What needs improvement with Chroma?
The hybrid algorithm needs improvement.
What is your primary use case for Chroma?
We collect customer's feedback, and then we present it to the clients.
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 ...
 

Comparisons

 

Overview

 

Sample Customers

1. Google 2. Netflix 3. Amazon 4. Facebook 5. Microsoft 6. Apple 7. Twitter 8. Spotify 9. Adobe 10. Uber 11. Airbnb 12. LinkedIn 13. Pinterest 14. Snapchat 15. Dropbox 16. Salesforce 17. IBM 18. Intel 19. Oracle 20. Cisco 21. HP 22. Dell 23. Samsung 24. Sony 25. LG 26. Panasonic 27. Philips 28. Toshiba 29. Nokia 30. Motorola 31. Xiaomi 32. Huawei
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
Find out what your peers are saying about Chroma vs. Pinecone and other solutions. Updated: September 2025.
872,778 professionals have used our research since 2012.