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ClickHouse vs Redis comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

Review summaries and opinions

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

ROI

Sentiment score
6.8
ClickHouse boosts productivity with cost and time savings, enhancing database performance and developer efficiency significantly despite unspecified savings.
Sentiment score
7.3
Redis boosts performance and reduces costs, enhancing API latency and productivity while allowing focus on feature development.
I estimate we save four to five hours per person per week due to this efficiency, translating to around 20 to 25 hours saved monthly for each individual.
AIML engineer at a tech services company with 11-50 employees
We could reduce the amount of employees needed when we migrated to ClickHouse Cloud.
Founder at a tech services company with 11-50 employees
With ClickHouse, we didn't need to spend much on resources, cutting costs by around 25 to 30%.
Associate software architect at a tech services company with 11-50 employees
We reduced the database read load by around 30 to 40 percent and improved API response time by 20 to 30 percent, specifically for frequently accessed endpoints.
SDE 2 at Virtusa
We have seen a positive return on investment from using Redis, mainly through improved application performance, reduced database load, and lower operational overhead.
Senior Software Engineer at a consultancy with 1-10 employees
 

Customer Service

Sentiment score
6.6
ClickHouse offers knowledgeable support, with cloud users praising responsiveness, while community resources aid open-source user self-reliance.
Sentiment score
6.4
Redis users rarely need support due to stability, relying on documentation and community, with mixed experiences reported.
If more timely support could be provided during critical issues, situations could have been resolved much more quickly, saving considerable time.
Senior Data Engineer at a transportation company with 501-1,000 employees
When we faced any challenges, the ClickHouse support team provided helpful resolutions.
AIML engineer at a tech services company with 11-50 employees
We utilize AVN ClickHouse, which is effectively managed by AVN, providing bug fixes and developing new functionalities along with architecture reviews.
Distinguished AI Leader at Walmart Global Tech at Walmart
By simply referring to their documentation, we have been able to fix our bugs and general issues.
Senior Software Engineer at a consultancy with 1-10 employees
Since Redis is quite stable and well-documented, we have not needed much support, but when required, the response has been helpful.
SDE 2 at Virtusa
 

Scalability Issues

Sentiment score
8.1
ClickHouse is praised for its scalability, efficiently handling large data volumes in distributed systems with solutions like AWS and Kubernetes.
Sentiment score
7.8
Redis excels in scalability and efficiency, handling high traffic with clustering and sharding, benefiting enterprise application demands.
The vertical scalability is impressive, with high insert throughput, allowing millions of rows per second with low latency.
AIML engineer at a tech services company with 11-50 employees
ClickHouse is highly scalable.
Software Analyst at CLSA
The scalability of ClickHouse is great.
Senior Software Engineer at a wholesaler/distributor with 1,001-5,000 employees
The in-memory architecture provides consistently low-latency access even as data access patterns and request volume increase.
Senior Software Engineer at a consultancy with 1-10 employees
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
Data Engineer at a photography company with 1,001-5,000 employees
With features such as clustering and replication, it can handle high traffic and a large database very effectively.
SDE 2 at Virtusa
 

Stability Issues

Sentiment score
7.7
ClickHouse offers stable, efficient performance for large data sets, with some concerns about memory use and development inconsistencies.
Sentiment score
7.9
Redis is lauded for its stability, reliable caching performance, and robust architecture, supported by strong community and managed services.
I can confidently say that it is very consistent and stable even when handling high volume loads and real-time streaming analytics across financial and operational domains.
AIML engineer at a tech services company with 11-50 employees
ClickHouse handles large volumes of data efficiently.
Software Analyst at CLSA
ClickHouse is stable, as we did not encounter stability issues in production.
Software Development Engineer at a tech vendor with 201-500 employees
Redis has consistently provided fast and predictable performance, particularly for caching and high-frequency data access scenarios.
Senior Software Engineer at a consultancy with 1-10 employees
Redis is fairly stable.
Data Engineer at a photography company with 1,001-5,000 employees
 

Room For Improvement

ClickHouse users seek improved documentation, integration enhancements, better cloud pricing, and solutions for operational complexity and SQL compatibility issues.
Redis users seek improvements in cache management, user interface, observability, scalability, security setup, and cloud integrations for enhanced usability.
Another challenge is the lack of robust support for transactional databases, which limits its use as a primary database.
Software Analyst at CLSA
ClickHouse should be able to import data from other types of sources like Parquet and Iceberg tables and all the new upcoming data formats.
Senior Software Engineer at Karvy Fintech
My experience with ClickHouse's documentation is that it needs improvement; I think it can be made more beginner-friendly, while the community support is really good.
Founder at a tech services company with 11-50 employees
Making security features and enterprise governance capabilities easier to configure out of the box would help organizations adopt Redis more confidently for larger and more critical workloads.
Senior Software Engineer at a consultancy with 1-10 employees
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
Data Engineer at a photography company with 1,001-5,000 employees
Redis itself does not enforce consistency with the primary database, so developers need to carefully design cache invalidation strategies.
Software Engineer at ValueMomentum
 

Setup Cost

ClickHouse offers flexible, cost-efficient pricing with open-source and cloud options, though lacks Windows support, balancing cost and performance.
Enterprise Redis costs vary by deployment model, with self-managed being cost-effective and cloud services charging for memory usage.
My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option.
Founder at a tech services company with 11-50 employees
ClickHouse is open source with no hidden fees, offering cost-effective data management.
Software Analyst at CLSA
I found ClickHouse's pricing to be efficient in comparison to other services such as Redshift.
AIML engineer at a tech services company with 11-50 employees
The main value comes from the performance improvements, reduced database load, and increased scalability that Redis provides.
Senior Software Engineer at a consultancy with 1-10 employees
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
Data Engineer at a photography company with 1,001-5,000 employees
The pricing is reasonable for the performance provided.
SDE 2 at Virtusa
 

Valuable Features

ClickHouse provides fast, scalable data storage and retrieval with seamless integration, open-source flexibility, and strong community support.
Redis is preferred for speed and reliability, offering low latency, high throughput, and efficient scaling with minimal configuration.
ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%.
Senior Software Engineer at Karvy Fintech
For cost optimization, after deploying the cluster on-premises and using S3 Express, approximately 5x cost savings were achieved on data storage.
Senior Data Engineer at a transportation company with 501-1,000 employees
ClickHouse positively impacted our organization by absorbing the whole logging system without hassle, storing logs for six months efficiently.
Associate software architect at a tech services company with 11-50 employees
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
Data Engineer at a photography company with 1,001-5,000 employees
First is its in-memory preference, as Redis is extremely fast, making it ideal for caching and session management where low latency is critical.
Software Engineer at ValueMomentum
By offloading frequent reads from the database and enabling fast in-memory cache access, it reduced latency, improved throughput, and helped maintain stability during peak loads.
SDE 2 at Virtusa
 

Categories and Ranking

ClickHouse
Ranking in Vector Databases
8th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
21
Ranking in other categories
Open Source Databases (3rd)
Redis
Ranking in Vector Databases
3rd
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
27
Ranking in other categories
NoSQL Databases (3rd), Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), AI Software Development (9th)
 

Mindshare comparison

As of August 2026, in the Vector Databases category, the mindshare of ClickHouse is 5.7%, up from 3.9% compared to the previous year. The mindshare of Redis is 6.8%, up from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Redis6.8%
ClickHouse5.7%
Other87.5%
Vector Databases
 

Featured Reviews

reviewer2785038 - PeerSpot reviewer
Senior Data Engineer at a transportation company with 501-1,000 employees
Data observability has enabled real‑time analytics and cost savings but needs smoother inserts and cleanup
ClickHouse could be improved concerning data insertion, especially given the high amount of data handled. Constant efforts are made to optimize the features on its own, but with merges and inserts, only a single insert query can be performed allowing for the input of only 100,000 rows per second. It would be beneficial to insert more data and have configurations that are less user-operated. Ideally, ClickHouse would optimize itself to handle these processes automatically, reducing the need to contact the ClickHouse support team for infrastructure optimization. Additionally, delays are experienced when trying to delete databases with corrupt data, taking too much time and causing major outages, which necessitate contacting multiple teams across continents for resolution. The community surrounding ClickHouse also seems limited, providing a reliance on documentation, and there is a scarcity of developers working with ClickHouse, which hinders growth. If ClickHouse were more user-friendly and technically feasible, it would likely see greater expansion in usage.
RituRaj - PeerSpot reviewer
SDE 2 at Virtusa
Caching has improved response times and reduces database load for high-traffic applications
Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use. Better built-in tools for observability would help teams manage it more effectively at scale. Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved.One practical challenge I experienced is managing memory efficiently. Since Redis is in-memory, we need to carefully configure eviction policies and monitor usage. Debugging cache-related issues such as stale data or cache invalidation can sometimes be tricky. Additionally, tuning memory usage and eviction policies needs to be planned very carefully.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
12%
Outsourcing Company
9%
Comms Service Provider
9%
Financial Services Firm
23%
Computer Software Company
9%
Comms Service Provider
6%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise6
Large Enterprise10
 

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?
My experience with pricing, setup cost, and licensing was such that the setup costs were just my own bandwidth, while licensing and pricing were done by other members of the team so it was abstract...
What needs improvement with ClickHouse?
ClickHouse can be improved on the documentation side, and there is one small constraint that is mentioned in ClickHouse documentation, which is a partition limit of ten thousand that we hit, so if ...
What is your primary use case for ClickHouse?
My main use case for ClickHouse is data ingestion and for its OLAP properties, as we had use cases where database locks were slowing us down and because ClickHouse does not have that, we chose to u...
What needs improvement with Redis?
Making management easier, especially for teams operating large Redis clusters, would be helpful. More advanced built-in observability, performance insights, and automated recommendations would help...
What is your primary use case for Redis?
Redis is used primarily as a caching layer to provide a high-performance caching solution that improves application response times and reduces load on backend services and databases. We use it main...
What advice do you have for others considering Redis?
There are a couple of things to consider when using Redis. It is a supporting layer, not a main database. Identifying specific use cases where Redis can provide the most value, such as caching, ses...
 

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: June 2026.
908,800 professionals have used our research since 2012.