Cassandra vs Chroma comparison

Apache and Chroma are both solutions in the Vector Databases category. Apache is ranked #14 with an average rating of 8.1, while Chroma is ranked #8 with an average rating of 8.5. Apache holds a 2.1% mindshare in VD, compared to Chroma’s 9.7% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of Chroma users who would recommend it.

Cassandra

Read 25 Cassandra reviews

2,061 Views
701 Comparison Views

92% willing to recommend

Chroma

Read 2 Chroma reviews

4,556 Views
4,556 Comparison Views

100% willing to recommend

Cassandra

Chroma

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 5, 2025

Cassandra and Chroma compete in the data storage and processing field. Cassandra is preferred for scalability, yet Chroma stands out with its premium features and enhanced capabilities, justifying its higher price.

Features: Cassandra provides distributed data management, fault tolerance, and handles large-scale data effectively. Chroma offers advanced analytics, an intuitive interface, and integration with machine learning tools.

Ease of Deployment and Customer Service: Cassandra's deployment model offers flexibility and comprehensive support. Chroma provides a streamlined cloud-based process with high-standard customer service ensuring quick integration.

Pricing and ROI: Cassandra is cost-effective with quicker ROI due to lower initial setup costs. Chroma, although higher priced, offers substantial long-term value with its powerful features and high performance.

To learn more, read our detailed Cassandra vs. Chroma Report (Updated: December 2025).

Buyer's Guide

Cassandra vs. Chroma

December 2025

Download the complete report

Helped 879,259 peers since 2012

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

Cassandra

Ranking in Vector Databases

14th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (6th)

Chroma

Ranking in Vector Databases

8th

Average Rating

8.6

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2025, in the Vector Databases category, the mindshare of Cassandra is 2.1%, up from 1.6% compared to the previous year. The mindshare of Chroma is 9.7%, down from 15.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
Chroma	9.7%
Cassandra	2.1%
Other	88.2%

Vector Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

Read full review

Sameer Bhangale

Leader, Data Science Practice at a computer software company with 5,001-10,000 employees

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.

Read full review

Quotes from Members

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

Pros

"I am getting much better performance than relational databases."

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."

"Our primary use case for the solution is testing."

"Some of the valued features of this solution are it has good performance and failover."

"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."

"The solution's database capabilities are very good."

"Can achieve continuous data without a single downtime because of node to node ring architecture."

More Cassandra pros

"It's very easy to set up and runs easily."

"The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it."

Cons

"The secondary index in Cassandra was a bit problematic and could be improved."

"Cassandra could be more user-friendly like MongoDB."

"Fine-tuning was a bit of a challenge."

"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProxy, which should better handle consumption for high-level concurrency."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

"The disc space is lacking. You need to free it up as you are working."

More Cassandra cons

"I think Chroma doesn't have a ready-made containerized image available."

"The hybrid algorithm needs improvement."

Pricing and Cost Advice

"I use the tool's open-source version."

"We pay for a license."

"I don't have the specific numbers on pricing, but it was fairly priced."

"We are using the open-source version of Cassandra, the solution is free."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"The current version is an open-source."

See which vendors are best for you

Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.

See recommendations

879,259 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

Retailer

Comms Service Provider

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

No data available

Questions from the Community

What do you like most about Cassandra?

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-ti...

See all answers

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

See all answers

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

See all answers

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

Comparisons

ClickHouse vs Cassandra

Compared 13% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 13% of the time

Couchbase Enterprise vs Cassandra

Compared 9% of the time

ScyllaDB vs Cassandra

Compared 7% of the time

Microsoft Azure Cosmos DB vs Cassandra

Compared 3% of the time

More Cassandra Competitors

LanceDB vs Chroma

Compared 20% of the time

Supabase Vector vs Chroma

Compared 13% of the time

Microsoft Azure Cosmos DB vs Chroma

Compared 11% of the time

Redis vs Chroma

Compared 10% of the time

Marqo vs Chroma

Compared 2% of the time

More Chroma Competitors

Product Reports

Buyer's Guide

Cassandra

December 2025

Download Cassandra product report

Buyer's Guide

Vector Databases

December 2025

Download Chroma product report

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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.

Chroma

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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

Buyer's Guide

Cassandra vs. Chroma

December 2025

Free Report: Cassandra vs. Chroma

Find out what your peers are saying about Cassandra vs. Chroma and other solutions. Updated: December 2025.

DOWNLOAD NOW

879,259 professionals have used our research since 2012.

See our Cassandra vs. Chroma report.

See our list of best Vector Databases vendors.

We monitor all Vector Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.