CelerData vs ClickHouse comparison

Why PeerSpot?

The compared CelerData and ClickHouse solutions aren't in the same category. CelerData is ranked #13 in CA , with an average rating of 8.7, and holds a 2.3% mindshare in the category. ClickHouse is ranked #3 in OSD , with an average rating of 8.5, and holds a 6.3% mindshare. Additionally, 100% of CelerData users are willing to recommend the solution, compared to 100% of ClickHouse users who would recommend it.

CelerData

Read 3 CelerData reviews

1,251 Views
113 Comparison Views

100% willing to recommend

ClickHouse

Read 21 ClickHouse reviews

7,967 Views
4,143 Comparison Views

100% willing to recommend

CelerData

ClickHouse

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 23, 2025

ClickHouse and CelerData compete in analytical database management systems. CelerData appears to have the upper hand due to its superior features, although ClickHouse is cost-effective and excels in support.

Features: ClickHouse focuses on real-time analytics, distributed processing, and massively parallel query performance. CelerData offers an intuitive interface, powerful data integration tools, and extensive data transformation features, with robust support for complex queries, highlighting its strong data handling capabilities.

Ease of Deployment and Customer Service: ClickHouse provides straightforward deployment with extensive documentation and community support, making setup simple. CelerData supports a flexible deployment model with excellent direct support, ensuring smooth resolution of deployment challenges.

Pricing and ROI: ClickHouse is cost-effective with minimal upfront investment, yielding high ROI through efficient large-scale data handling. CelerData requires a higher initial cost but justifies it with substantial ROI through advanced features and comprehensive data management.

To learn more, read our detailed Cloud Analytics Report (Updated: October 2026).

Buyer's Guide

Cloud Analytics

October 2026

Download the complete report

Helped 919,894 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

CelerData

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Analytics (13th)

ClickHouse

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (3rd), Vector Databases (8th)

Mindshare comparison

CelerData and ClickHouse aren’t in the same category and serve different purposes. CelerData is designed for Cloud Analytics and holds a mindshare of 2.3%.
ClickHouse, on the other hand, focuses on Open Source Databases, holds 6.3% mindshare, up 5.7% since last year.

Cloud Analytics Mindshare Distribution
Product	Mindshare (%)
CelerData	2.3%
IBM Turbonomic	21.8%
Spot by Flexera	15.9%
Other	60.0%

Cloud Analytics

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
ClickHouse	6.3%
MySQL	12.7%
PostgreSQL	11.8%
Other	69.2%

Open Source Databases

Featured Reviews

Jorge Novo

Senior Database Engineer at a healthcare company with 10,001+ employees

Centralized analytics has improved real-time campaign reporting and accelerated dashboard insights

CelerData can be improved in several areas. I have identified issues where the transportation and documentation do not reflect the reality of the models, and I found data points issues related to bugs in the code, so for the open-source version, CelerData needs to be more consistent and reliable compared to the cloud version. Regarding CelerData's AI capabilities, I believe the governance and security need to be tested and integrated, and it is still too early in development to make a good determination. Concerning CelerData's AI capabilities, the accuracy and reliability of output depend significantly on the quality of log troubleshooting, which I believe is one of the most important parts.

Read full review

reviewer2785038

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.

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 appreciate CelerData for the agility we have to ingest data."

"CelerData has positively impacted my organization because we improved the production of new analytics; we improved the production by 30%."

"CelerData has positively impacted my organization by providing faster response times on reports, especially for real-time data, and I am finally able to centralize all integrated data from different systems for dashboards and reporting."

"We moved away from Redshift to ClickHouse because of the integration and the flexibility that it provides, which best suited our use case."

"With ClickHouse, since data is stored in a columnar way, we get aggregation functions that are much faster than transactional databases, such as SQL Server, and the cost efficiency is also much reduced compared to Cosmos DB since we use it on-premises, the cost is nearly cut, which is very useful for us."

"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."

"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."

"ClickHouse is very easy to use; one of the good features is that it has joins, which were not present in Druid, and Druid was quite expensive, especially with our applications at Sam's Club utilizing ClickHouse very quickly."

"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."

"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."

"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."

More ClickHouse pros

Cons

"I have identified issues where the transportation and documentation do not reflect the reality of the models, and I found data points issues related to bugs in the code, so for the open-source version, CelerData needs to be more consistent and reliable compared to the cloud version."

"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."

"Too many issues exist for beginners to set up ClickHouse. Many parameters must be configured, such as maximum scatter part settings that determine when writing to a table stops."

"ClickHouse can be improved, and the main challenge I see is its operational complexity."

"ClickHouse could be improved with self-hosting capabilities and better documentation for how to host it at scale."

"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."

"I would like ClickHouse to work more on integration with third-party tools."

"We had a lot of troubles while deploying a whole cluster."

"ClickHouse could be improved further in several areas."

More ClickHouse cons

Pricing and Cost Advice

Information not available

"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."

"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."

"The tool is open-source."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Analytics solutions are best for your needs.

See recommendations

919,894 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Construction Company

44%

Outsourcing Company

13%

Financial Services Firm

Comms Service Provider

Financial Services Firm

15%

Comms Service Provider

11%

Outsourcing Company

11%

Computer Software Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for CelerData?

I have no comments regarding pricing, setup cost, and licensing.

See all answers

What needs improvement with CelerData?

See all answers

What is your primary use case for CelerData?

My main use case for CelerData is data analytics. I primarily use CelerData for data analytics at CVS Health, examining models for future campaigns and using different data types and subsets to gen...

See all answers

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...

See all answers

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 ...

See all answers

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...

See all answers

Comparisons

Densify vs CelerData

Compared 35% of the time

Sisense vs CelerData

Compared 16% of the time

IBM Turbonomic vs CelerData

Compared 15% of the time

More CelerData Competitors

VictoriaMetrics vs ClickHouse

Compared 9% of the time

OpenSearch vs ClickHouse

Compared 9% of the time

PostgreSQL vs ClickHouse

Compared 6% of the time

InfluxDB vs ClickHouse

Compared 6% of the time

Cassandra vs ClickHouse

Compared 6% of the time

More ClickHouse Competitors

Product Reports

Buyer's Guide

Cloud Analytics

October 2026

Download CelerData product report

Buyer's Guide

ClickHouse

October 2026

Download ClickHouse product report

Overview

CelerData offers a comprehensive analysis solution designed for businesses needing real-time insights and analytics, focusing on improving data-driven decision-making and operational performance.

CelerData stands out for providing real-time analytics capabilities, allowing companies to harness large data sets effectively. It is designed to address complex analytical scenarios and handle significant data volumes with ease, helping businesses make informed decisions quickly, optimizing resource allocation, and boosting performance. Integrating seamlessly into existing infrastructures, CelerData enhances the speed and scalability of data processing and analysis, enabling organizations to adapt to ever-evolving market demands.

What are the key features of CelerData?

Real-Time Analytics: Process large volumes of data at high speed.
Scalability: Adapt easily to increasing data demands.
Integration: Seamlessly fits into existing systems.
Data Security: Prioritizes protection and privacy of data.

What benefits should users consider?

Efficient Decision Making: Speeds up the decision-making process.
Cost-Effective: Reduces infrastructure costs through optimized resources.
Increased Productivity: Enhances operational efficiency.
ROI: Delivers a high return on investment by improving overall performance.

Industries such as finance, healthcare, and retail leverage CelerData to enhance their data analytics capabilities. In finance, it assists in real-time transaction monitoring, while healthcare uses it for patient data analysis. Retail sectors benefit from inventory and customer behavior analytics, driving better customer service and satisfaction.

CelerData

ClickHouse is renowned for its speed, scalability, and real-time query performance. Its compatibility with SQL standards enhances flexibility while enabling integration with popular tools.

ClickHouse leverages a column-based architecture for efficient data compression and real-time analytics. It seamlessly integrates with tools like Kafka and Tableau and is effective in handling large datasets due to its cost-efficient aggregation capabilities. With robust data deduplication and strong community backing, users can access comprehensive documentation and up-to-date functionality. However, improvements in third-party integration, cloud deployment, and handling of SQL syntax differences are noted, impacting ease-of-use and migration from other databases.

What features make ClickHouse outstanding?

Speed and Scalability: Enables rapid deployment and scalability, particularly on Kubernetes.
SQL Compatibility: Aligns with SQL standards for flexible database management.
Column-based Structure: Offers efficient data compression and quick query performance.
Integration Support: Works with Kafka, Tableau, and other popular platforms.
Data Deduplication: Manages complex data duplication efficiently.

What benefits should users consider?

Cost-Efficiency: Reduces expenses while managing large datasets effectively.
Real-Time Analytics: Provides fast data processing for real-time insights.
Flexibility: Offers multiple integration points and compatibility options.
Robust Documentation: Backed by an active development community, ensuring comprehensive support.

ClickHouse is deployed in sectors like telecommunications for passive monitoring and is beneficial for data analytics, logging Clickstream data, and as an ETL engine. Organizations harness it for machine learning applications when combined with GPT. With the ability to be installed independently, it's an attractive option for avoiding cloud service costs.

Find out what your peers are saying about IBM, SAP, Spot - A Flexera company and others in Cloud Analytics. Updated: October 2026.

DOWNLOAD NOW

919,894 professionals have used our research since 2012.

We monitor all Cloud Analytics 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.