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ClickHouse vs Redis comparison

 

Comparison Buyer's Guide

Executive Summary

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

ClickHouse
Ranking in Vector Databases
11th
Average Rating
8.8
Reviews Sentiment
7.8
Number of Reviews
10
Ranking in other categories
Open Source Databases (8th)
Redis
Ranking in Vector Databases
5th
Average Rating
8.8
Reviews Sentiment
8.1
Number of Reviews
21
Ranking in other categories
NoSQL Databases (7th), In-Memory Data Store Services (1st)
 

Mindshare comparison

As of February 2025, in the Vector Databases category, the mindshare of ClickHouse is 2.5%, up from 1.0% compared to the previous year. The mindshare of Redis is 5.3%, down from 7.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

Dmitriy Yugin - PeerSpot reviewer
Can set it up on computer and run queries without depending on the cloud
The tool is open-source, so you don't need to pay for the software itself. However, you need to consider hardware costs and maintenance. A small company can install it on a company computer. For larger companies, you might need to hire a team for maintenance and consider data safety and privacy issues. Integrating ClickHouse with other tools in our data stack was easy. It has native connections to many tools, such as Google and Amazon cloud solutions, and can easily connect with other databases. For beginners, the ease of use depends on your background. If you're familiar with relational databases, it's easy. If not, you might need to read the documentation or ask for support.
Yaseer Arafat - PeerSpot reviewer
Unmatched Performance and Scalability for Modern Applications
Redis has room for improvement in a few areas. Enhanced tools for managing and monitoring clusters would be beneficial, as would built-in security mechanisms like advanced encryption and granular access controls. Simplifying setup and configuration could make Redis more accessible to new users. Introducing more enterprise-grade features, such as better multi-tenancy support and improved backup and restore capabilities, would also be advantageous. For the next release, it would be great to see enhanced cluster management tools, native multi-region supports for better data redundancy, integrated analytics for deeper insights, AI and ML integration features, and improved developer experience through enhanced SDKs and tools.

Quotes from Members

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

Pros

"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"ClickHouse is much faster than traditional databases like MySQL and MongoDB. Its column-row searching strategy makes it very efficient. With ClickHouse, we can manage multiple databases, automatically insert data from other databases and delete data as needed. It supports real-time query performance, allowing simultaneous data insertion and retrieval. ClickHouse has improved significantly over the past two years, adding more functions and queries, as well as top functionality."
"It's easier to work with big data and calculations using the product."
"If you have a real-time basis, you should take a look at ClickHouse because it works on a vector database, and the querying is super fast compared to traditional databases."
"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"The tool is column-based and infinitely scalable."
"ClickHouse is open source with no vendor lock-in, providing excellent freedom to choose any vendor without restrictions."
"The ability to fetch and save data quickly is valuable."
"Redis is a simple, powerful, and fast solution."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"The performance of Redis is very fast."
"What I like best about Redis is its fast and easy use. It has interesting algorithms like HyperLogLog and provides useful features. It's also good for implementing scalable rate limiting."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"It is particularly efficient for cloud-based storage and operations."
"The solution is fast, provides good performance, and is not too expensive."
 

Cons

"There aren't too many improvements I'd suggest for ClickHouse as it covers all my needs. There are just a few technical issues. For example, sometimes, when you want to get unique values and use certain tables, they don't work as expected. But it's not a major problem."
"There are some areas where ClickHouse could improve. Specifically, we encountered incompatibilities with its SQL syntax when migrating queries from MySQL or SQL to ClickHouse. This difference in details made it challenging to figure out the exact issues. Additionally, we faced difficulties due to the lack of a proper Django driver for ClickHouse, unlike MySQL, which Django supports out of the box."
"We had a lot of troubles while deploying a whole cluster."
"Initially, I faced challenges integrating ClickHouse, particularly with inserting data from ActiveMQ, which caused duplicates. However, after adjusting the ClickHouse settings, the issue was resolved and there were no more duplicates."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"I would like ClickHouse to work more on integration with third-party tools."
"Redis should have an option to operate without Docker on a local PC."
"There is a lack of documentation on the scalability of the solution."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"Redis could be improved by introducing a GUI to display key-value pair database information, as it is currently a CLI tool with no visual representation."
"Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud."
"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
"If we use a lot of data, it will eventually cost us a lot."
 

Pricing and Cost Advice

"For pricing, if you use the self-hosted version, it would be free. Cloud services pricing would be an eight out of ten. I try to minimize costs but still have to monitor usage."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"The tool is free."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"We used the free, community version of ClickHouse."
"The tool is open-source."
"Redis is not an overpriced solution."
"Redis is an open-source solution. There are not any hidden fees."
"We saw an ROI. It made the processing of our transactions faster."
"Redis is an open-source product."
"The tool is open-source. There are no additional costs."
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Top Industries

By visitors reading reviews
Computer Software Company
25%
Educational Organization
16%
Financial Services Firm
12%
Manufacturing Company
10%
Financial Services Firm
22%
Computer Software Company
15%
Educational Organization
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with ClickHouse?
There aren't too many improvements I'd suggest for ClickHouse as it covers all my needs. There are just a few technical issues. For example, sometimes, when you want to get unique values and use ce...
What is your primary use case for ClickHouse?
I used ClickHouse to collect data, put it in the database, and then analyze it to find insights. The main advantage is that I can install it on my computer instead of using cloud-based solutions, s...
What do you like most about Redis?
Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...
What needs improvement with Redis?
Redis could be improved by introducing a GUI to display key-value pair database information, as it is currently a CLI tool with no visual representation. Additionally, better documentation is neede...
What is your primary use case for Redis?
I use Redis as a tool in building projects, specifically for in-memory caching. My backend API uses Redis to cache information retrieved from the database.
 

Comparisons

 

Also Known As

No data available
Redis Enterprise
 

Overview

 

Sample Customers

Information Not Available
1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips
Find out what your peers are saying about ClickHouse vs. Redis and other solutions. Updated: January 2025.
838,713 professionals have used our research since 2012.