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

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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).

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Cloud Analytics

October 2026

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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.

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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.

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Quotes from Members

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

Pros

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

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

"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."

"ClickHouse Cloud saves a lot of time for our DevOps engineers since there isn't much deployment involved and everything is served directly, leading to increased efficiency and productivity."

"There is no better option than ClickHouse in all OLAP-based databases, so I think it is best to use ClickHouse in that regard."

"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."

"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."

"ClickHouse provides great query speeds because it is an OLAP database, so naturally, it provides higher speeds."

"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."

"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."

"Regarding performance, we tried multiple solutions when Kibana was failing, including PostgreSQL, MySQL, and even MongoDB for log ingestion of huge volumes, but ClickHouse outperformed all databases we tested, leading us to choose it for further use cases."

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."

"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."

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

"ClickHouse could be improved further in several areas."

"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."

"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."

"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."

"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."

"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."

More ClickHouse cons

Pricing and Cost Advice

Information not available

"The tool is free."

"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."

"The tool is open-source."

"We used the free, community version of ClickHouse."

"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."

"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."

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Top Industries

By visitors reading reviews

Construction Company

45%

Outsourcing Company

13%

Financial Services Firm

Comms Service Provider

Financial Services Firm

16%

Computer Software Company

11%

Outsourcing Company

10%

Comms Service Provider

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.

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What needs improvement with CelerData?

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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...

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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...

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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 ...

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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

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Compared 42% of the time

Sisense vs CelerData

Compared 16% of the time

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OpenSearch vs ClickHouse

Compared 9% of the time

VictoriaMetrics vs ClickHouse

Compared 8% 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

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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.

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