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Chroma vs Pinecone comparison

Chroma and Pinecone are both solutions in the Vector Databases category. Chroma is ranked #2 with an average rating of 8.5, while Pinecone is ranked #6 with an average rating of 8.0. Chroma holds a 15.7% mindshare in VD, compared to Pinecone’s 8.6% mindshare. Additionally, 100% of Chroma users are willing to recommend the solution, compared to 100% of Pinecone users who would recommend it.
Chroma
Read 2 Chroma reviews
  • 2,836 Views
  • 2,723 Comparison Views
100% willing to recommend
Pinecone
Read 6 Pinecone reviews
  • 1,660 Views
  • 1,524 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Chroma and Pinecone based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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To learn more, read our detailed Chroma vs. Pinecone Report (Updated: October 2024).
Buyer's Guide
Chroma vs. Pinecone
October 2024
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Helped 823,875 peers since 2012
 

Categories and Ranking

Chroma
Ranking in Vector Databases
2nd
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Pinecone
Ranking in Vector Databases
6th
Average Rating
8.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Vector Databases category, the mindshare of Chroma is 15.7%, up from 12.5% compared to the previous year. The mindshare of Pinecone is 8.6%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
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Aakash Kushwaha - PeerSpot reviewer
Helps retrieve data, relatively cheaper, and provides useful documentation
Suppose I want to delete a vector from Pinecone or a multi-vector from a single document. Pinecone does not provide feedback on whether a document is deleted or not. In SQL and NoSQL databases, if we delete something, we get a response that it is deleted. The tool does not confirm whether a file is deleted or not. I have raised the issue with support. If we have 10,000 vectors in our index and do not use a metadata tag, it will take one to three seconds to complete a search. When I try to search using a metadata tag, the speed is still the same. The search speed must be much faster because I specify which vectors I need the data from.
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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."
"The product's setup phase was easy."
"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."
"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."
"We chose Pinecone because it covers most of the use cases."
"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
 

Cons

"The hybrid algorithm needs improvement."
"I think Chroma doesn't have a ready-made containerized image available."
"The tool does not confirm whether a file is deleted or not."
"Pinecone can be made more budget-friendly."
"Onboarding could be better and smoother."
"The product fails to offer a serverless type of storage capacity."
"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."
"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."
 

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."
"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."
"I have experience with the tool's free version."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
10%
University
9%
Computer Software Company
17%
Financial Services Firm
10%
Educational Organization
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

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.
See all answers
What needs improvement with Chroma?
The hybrid algorithm needs improvement.
See all answers
What is your primary use case for Chroma?
We collect customer's feedback, and then we present it to the clients.
See all answers
What do you like most about Pinecone?
We chose Pinecone because it covers most of the use cases.
See all answers
What needs improvement with Pinecone?
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.
See all answers
What is your primary use case for Pinecone?
I've used Pinecone to streamline token generation for my chatbot's functionality. Specifically, I used it for the OpenNeeam Building.
See all answers
 

Comparisons

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LanceDB vs Chroma
Compared 33% of the time
Faiss vs Chroma Logo
Faiss vs Chroma
Compared 22% of the time
Redis vs Chroma Logo
Redis vs Chroma
Compared 9% of the time
PostgreSQL vs Chroma Logo
PostgreSQL vs Chroma
Compared 9% of the time
Vespa vs Chroma Logo
Vespa vs Chroma
Compared 0% of the time
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OpenSearch vs Pinecone Logo
OpenSearch vs Pinecone
Compared 37% of the time
Faiss vs Pinecone Logo
Faiss vs Pinecone
Compared 14% of the time
Elastic Search vs Pinecone Logo
Elastic Search vs Pinecone
Compared 12% of the time
LanceDB vs Pinecone Logo
LanceDB vs Pinecone
Compared 9% of the time
More Pinecone Competitors
 

Product Reports

Buyer's Guide
Vector Databases
December 2024
Chroma reportDownload Chroma product report
Buyer's Guide
Pinecone
November 2024
Pinecone reportDownload Pinecone product report
 

Learn More

Video not available
Chroma
Pinecone
 

Overview

Chroma is a versatile tool that enhances visual display quality, offering features such as color accuracy improvement, brightness adjustment, and image settings fine-tuning. 

It creates vibrant and immersive visual experiences, making it valuable for content creators, gamers, and design professionals. 

Chroma's customizable lighting options and seamless integration with other devices are highly praised, allowing users to personalize their setups and create visually stunning effects. 

Its compatibility with various devices ensures a cohesive and immersive user experience.

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. 

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.

 

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
Buyer's Guide
Chroma vs. Pinecone
October 2024
Free Report: Chroma vs. Pinecone
Find out what your peers are saying about Chroma vs. Pinecone and other solutions. Updated: October 2024.
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