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ClickHouse vs DataStax Enterprise 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
6.5
DataStax Enterprise boosts ROI with reduced deployment time, 99.9% uptime, faster product development, and support for version updates.
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 have seen a return on investment with DataStax Enterprise as we saved a lot of money and time, despite investing more on infrastructure; our ongoing business success with a 99.9% uptime helps us earn more.
Senior database engineer at ToTheNew
Earlier it was around 15 months, and we have been able to deploy and scale our application within 10 months.
Software Developer at a consultancy with 11-50 employees
If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this.
Senior Software Engineer at Deloitte
 

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
8.9
DataStax Enterprise's support is responsive, proactive, and efficient, scoring 9/10 for excellent escalation and emergency handling.
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
Real-time transaction processing, both reads and writes, is where DataStax Enterprise shines the most.
Senior Software Engineer at Deloitte
I would rate the customer support nine out of 10.
Senior Engineer at a financial services firm with 10,001+ employees
one of my colleagues contacted them and found it to be pretty efficient
Software Developer at a consultancy with 11-50 employees
 

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
8.3
DataStax Enterprise excels in scalability, auto-scaling, and fault tolerance, optimizing resource use for multi-region deployments.
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
DataStax Enterprise's scalability is very fast with linear scalability and hence is very scalable.
Senior Software Engineer at Deloitte
The active-active architecture helped us really scale and provide data to both Singapore and Indian users.
Senior Engineer at a financial services firm with 10,001+ employees
It auto-scales, and as user demands increase, we can gather more compute resources from the cloud and speed up the servers.
Software Developer at a consultancy with 11-50 employees
 

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
9.1
DataStax Enterprise is praised for its stability and reliability, efficiently supporting organizations with terabyte to petabyte scalability.
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
DataStax Enterprise provides enough stability for our organization, and scaling can be done up to terabytes and petabytes.
Senior Engineer at a financial services firm with 10,001+ employees
 

Room For Improvement

ClickHouse users seek improved documentation, integration enhancements, better cloud pricing, and solutions for operational complexity and SQL compatibility issues.
DataStax Enterprise should improve hybrid integration, compatibility, support, cost-effectiveness, setup ease, OpsCenter UI, and functionality.
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
Better compatibility with prior versions in terms of codebases should also be improved.
Senior Software Engineer at Deloitte
For example, it can implement some cost optimization where the license can be expensive, and compared to open-source Cassandra, cost is a concern.
Senior Engineer at a financial services firm with 10,001+ employees
I believe that DataStax Enterprise could be improved by working more on making the OpsCenter user interface more user-friendly, particularly regarding the fonts and overall UI.
Senior database engineer at ToTheNew
 

Setup Cost

ClickHouse offers flexible, cost-efficient pricing with open-source and cloud options, though lacks Windows support, balancing cost and performance.
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
For smaller organizations working under a tight budget, it might not be very affordable compared to other alternatives.
Senior Software Engineer at Deloitte
 

Valuable Features

ClickHouse provides fast, scalable data storage and retrieval with seamless integration, open-source flexibility, and strong community support.
DataStax Enterprise offers scalability, security, real-time replication, multi-cloud support, and ease for SQL users, enhancing productivity and uptime.
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
The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers.
Senior Software Engineer at Deloitte
I can confirm that the outcomes of using DataStax Enterprise show that our database uptime has increased drastically to around 99.9%.
Senior database engineer at ToTheNew
DataStax Enterprise has positively impacted my organization because during research for a NoSQL database, developers are very positive about using DataStax Enterprise because of its really easy setup and the querying to the database is very efficient.
Software Developer at a consultancy with 11-50 employees
 

Categories and Ranking

ClickHouse
Ranking in Vector Databases
7th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
21
Ranking in other categories
Open Source Databases (3rd)
DataStax Enterprise
Ranking in Vector Databases
15th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
5
Ranking in other categories
NoSQL Databases (10th)
 

Mindshare comparison

As of May 2026, in the Vector Databases category, the mindshare of ClickHouse is 5.6%, up from 3.6% compared to the previous year. The mindshare of DataStax Enterprise is 1.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
ClickHouse5.6%
DataStax Enterprise1.8%
Other92.6%
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.
Suzanne  Kimono - PeerSpot reviewer
Senior Software Engineer at Deloitte
Continuous data access has ensured high uptime and has supported real-time transactional processing
The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
14%
Outsourcing Company
8%
Comms Service Provider
8%
Retailer
11%
Media Company
11%
Financial Services Firm
11%
Manufacturing Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise8
No data available
 

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 is your experience regarding pricing and costs for DataStax Enterprise?
My experience with pricing, setup cost, and licensing indicates that the cost is a bit affordable, especially for my organization. However, for smaller organizations working under a tight budget, i...
What needs improvement with DataStax Enterprise?
DataStax Enterprise can provide other solutions that are well-suited for other use cases such as an auditing system or writing systems. Additionally, many other details can be provided for monitori...
What is your primary use case for DataStax Enterprise?
My main use case for DataStax Enterprise is handling the high-volume transactional data in a distributed system. I work on an application where we need to store and process a large amount of real-t...
 

Overview

 

Sample Customers

Information Not Available
ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target
Find out what your peers are saying about ClickHouse vs. DataStax Enterprise and other solutions. Updated: April 2026.
892,678 professionals have used our research since 2012.