ClickHouse vs CloudBeaver AWS comparison

The compared ClickHouse and DBeaver solutions aren't in the same category. ClickHouse is ranked #3 in OSD , with an average rating of 8.6, and holds a 6.6% mindshare in the category. DBeaver is ranked #13 in DBMS , with an average rating of 8.0, and holds a 0.1% mindshare. Additionally, 100% of ClickHouse users are willing to recommend the solution, compared to 100% of DBeaver users who would recommend it.

ClickHouse

Read 21 ClickHouse reviews

4,435 Views
2,040 Comparison Views

100% willing to recommend

CloudBeaver AWS

Read 1 CloudBeaver AWS review

355 Views
7 Comparison Views

100% willing to recommend

ClickHouse

CloudBeaver AWS

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Executive SummaryUpdated on Nov 23, 2025

ClickHouse and CloudBeaver AWS compete in the data management and analytics solutions space. ClickHouse seems to have the upper hand in terms of affordability and speed, while CloudBeaver AWS offers a broader range of features.

Features: ClickHouse provides fast query processing, scalability, and efficient handling of large datasets. CloudBeaver AWS offers collaboration with multi-database support and an integrated platform for diverse database management.

Ease of Deployment and Customer Service: ClickHouse has a straightforward deployment process focusing on community support. CloudBeaver AWS offers a flexible cloud-based model easing maintenance and scalability and emphasizes comprehensive support services for smooth operations.

Pricing and ROI: ClickHouse is cost-effective, offering excellent performance at a lower setup cost. CloudBeaver AWS may have a higher initial cost but provides value through its extensive feature set and support, suggesting a longer-term ROI.

To learn more, read our detailed Open Source Databases Report (Updated: March 2026).

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March 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

ClickHouse

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (3rd), Vector Databases (7th)

CloudBeaver AWS

Average Rating

8.0

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (13th)

Mindshare comparison

While both are Databases solutions, they serve different purposes. ClickHouse is designed for Open Source Databases and holds a mindshare of 6.6%, up 2.8% compared to last year.
CloudBeaver AWS, on the other hand, focuses on Database Management Systems (DBMS), holds 0.1% mindshare.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
ClickHouse	6.6%
PostgreSQL	14.4%
Firebird SQL	11.9%
Other	67.1%

Open Source Databases

Database Management Systems (DBMS) Mindshare Distribution
Product	Mindshare (%)
CloudBeaver AWS	0.1%
Oracle Database	24.3%
SAP HANA	17.4%
Other	58.2%

Database Management Systems (DBMS)

Featured Reviews

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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Barath

DevOps engineer at a tech services company with 51-200 employees

Centralized database access has improved security, governance, and collaboration across teams

While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved. Enhanced support for more advanced query visualization and analytics features would be useful for our data teams. Performance optimization for very large datasets could also help. More granular auditing and alerting features would strengthen the security perspective. In terms of security, I can improve more of the features of CloudBeaver AWS. I could bring in encryption functionality and also store the database credentials in the AWS Secret Manager to integrate it with more AWS services. An additional area that could be improved is the user interface for managing multiple databases, including a more streamlined interface for managing multiple connections, better handling of long-running queries, and deeper integration with AWS services and other services to support larger teams with complex workflows. Instead of manually installing CloudBeaver AWS, I could directly attach it to the CI/CD pipeline. That would increase productivity. I could easily and directly connect the database endpoint to CloudBeaver AWS, which would be a more time-saving method, rather than manually going to the CloudBeaver AWS console and entering each database endpoint, username, password, and database name. In addition, it would be valuable if I could combine the AWS SSM Manager with CloudBeaver AWS to connect easily using localhost. That would be beneficial for configuring a bastion host. Some environments, companies, or organizations prefer using a bastion host over a VPN, so for them, that would be a great addition.

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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

"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."

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

"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."

"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."

"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 has reduced our storage cost and improved our 99th percentile latency by 40%."

"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."

More ClickHouse pros

"CloudBeaver AWS has positively impacted our organization in terms of productivity and value addition by reducing the burden of connecting to the database."

Cons

"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."

"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."

"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 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 further in several areas."

"The open-source version of ClickHouse is not very scalable."

"I chose nine out of ten because, as I mentioned, the improvement side and the ten thousand partition limit created issues that we were hitting quite frequently, but with some schema manipulations we did manage to find a workaround, although that could have been avoided had things been better documented on how we could have solved this problem in a different approach, which took some bandwidth."

"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."

More ClickHouse cons

"While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved."

Pricing and Cost Advice

"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."

"The tool is open-source."

"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."

"ClickHouse has an open-source version, which is free to use and has almost all the features."

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

15%

Outsourcing Company

Comms Service Provider

Construction Company

42%

Comms Service Provider

Financial Services Firm

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	4
Large Enterprise	8

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...

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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...

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What needs improvement with CloudBeaver AWS?

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What is your primary use case for CloudBeaver AWS?

My main use case for CloudBeaver AWS is connecting to databases on AWS, and I typically use it to make it easy for our employees to connect to the database in the easiest manner.

See all answers

What advice do you have for others considering CloudBeaver AWS?

For teams considering CloudBeaver AWS, I recommend starting by clearly defining your access security requirements since role-based access and IAM integrations are key strengths of the platform. Tak...

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Compared 7% of the time

MySQL vs ClickHouse

Compared 6% of the time

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Product Reports

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ClickHouse

April 2026

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Buyer's Guide

Database Management Systems (DBMS)

March 2026

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Overview

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.

ClickHouse

CloudBeaver AWS is a multi-user web tool for managing databases, built to work with Amazon Web Services (AWS). It allows teams to collaborate easily and take advantage of AWS infrastructure. This edition is especially useful for teams and organizations using AWS cloud environments. It provides a shared, web-based platform for managing databases, making it easier to collaborate, access, and manage data while using AWS infrastructure.

DBeaver

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March 2026

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