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

ClickHouse vs Redis comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

ClickHouse
Ranking in Vector Databases
11th
Average Rating
8.8
Number of Reviews
9
Ranking in other categories
Open Source Databases (8th)
Redis
Ranking in Vector Databases
4th
Average Rating
8.8
Number of Reviews
16
Ranking in other categories
NoSQL Databases (8th), In-Memory Data Store Services (1st)
 

Featured Reviews

Dmitriy Yugin - PeerSpot reviewer
Jul 8, 2024
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.
Chethan Rao S - PeerSpot reviewer
Apr 17, 2024
Performs much better than traditional databases, integrates well and lot of learning resources available
It improved the performance. For example, data structures like hashmaps in Redis make it a very fast database – much faster than traditional SQL databases. It can perform at significantly higher speeds. Latencies are very low. Our primary focus wasn't on saving money but on improving performance for that specific feature. So, performance has been the key improvement. Every calculation happened in real time. It improved the performance 10X. In our company, we have limited resources, so we can't manage the database ourselves. We use services from Azure for that. So, Redis integrates well with those services. We use Azure Cache for Redis.

Quotes from Members

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

Pros

"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"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 tool is column-based and infinitely scalable."
"We faced a challenge with deploying ClickHouse onto Kubernetes. Recently, we've been using ClickHouse Cloud, and the main issue is the high cost of the cloud service. The pricing isn't very competitive, especially for startups. I would instead buy a server and self-host if I have enough disk space. Besides that, ClickHouse has done very well, with clear goals and effective execution."
"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."
"The best thing about the tool is that I can set it up on my computer and run queries without depending on the cloud. This is why I use it every day."
"The ability to fetch and save data quickly is valuable."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"The online interface is very fast and easy to use."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"I use Redis mostly to cache repeated data that is required."
"The solution is fast, provides good performance, and is not too expensive."
"The in-memory data makes it fast."
"The product offers fast access to my database."
 

Cons

"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."
"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."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"The aggregation capability is a valuable feature. It's highly efficient, allowing us to review entire transaction histories and user activities in the market. We've tried MongoDB, Postgres, MariaDB, and BigQuery, but ClickHouse is the most cost-efficient solution for collecting data at high speeds with minimal cost. We even used ClickHouse Cloud for a month, and it proved to be a great setup, especially for startups looking to handle big data. For example, if there is a need for 2-4 terabytes of data and around 40 billion rows with reasonable computing speed and latency, ClickHouse is ideal. Regarding the real-time query performance of ClickHouse, when using an API server to query it, I achieved query results in less than twenty milliseconds in some of my experiments with one billion rows. However, it depends on the scenario since ClickHouse has limitations in handling mutations. Additionally, one of ClickHouse's strengths is its compression capability. Our experimental server has only four terabytes, and ClickHouse effectively compresses data, allowing us to store large amounts of data at high speed. This compression efficiency is a significant advantage of using ClickHouse."
"If you join our team, it should be easy for you to use ClickHouse, especially if you are a developer. However, you need to read the documentation and understand the problems you are trying to solve."
"We had a lot of troubles while deploying a whole cluster."
"I would like ClickHouse to work more on integration with third-party tools."
"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."
"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."
"It's actually quite expensive."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud."
"There is a lack of documentation on the scalability of the solution."
"The solution's pricing for a local installation is very expensive."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
 

Pricing and Cost Advice

"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"The tool is open-source."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"The tool is free."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"We used the free, community version of ClickHouse."
"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."
"Redis is not an overpriced solution."
"We saw an ROI. It made the processing of our transactions faster."
"Redis is an open-source product."
"Redis is an open-source solution. There are not any hidden fees."
"The tool is open-source. There are no additional costs."
report
Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.
814,649 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
28%
Educational Organization
18%
Manufacturing Company
9%
University
8%
Financial Services Firm
20%
Computer Software Company
15%
Educational Organization
7%
Manufacturing Company
7%
 

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 improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud. It would be helpful if Redis could provide a one-stop solution for all data varieties, whi...
What is your primary use case for Redis?
I used Redis for a one-time implementation while working on a college project. I implemented it locally on a machine and used it for a vector search.
 

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: October 2024.
814,649 professionals have used our research since 2012.