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ClickHouse vs Elastic Search comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

ClickHouse
Ranking in Vector Databases
11th
Average Rating
8.8
Number of Reviews
9
Ranking in other categories
Open Source Databases (8th)
Elastic Search
Ranking in Vector Databases
1st
Average Rating
8.2
Number of Reviews
64
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (11th), Search as a Service (1st)
 

Featured Reviews

Dmitriy Yugin - PeerSpot reviewer
Jul 8, 2024
Can set it up on computer and run queries without depending on the cloud
The tool is open-source, so you don't need to pay for the software itself. However, you need to consider hardware costs and maintenance. A small company can install it on a company computer. For larger companies, you might need to hire a team for maintenance and consider data safety and privacy issues. Integrating ClickHouse with other tools in our data stack was easy. It has native connections to many tools, such as Google and Amazon cloud solutions, and can easily connect with other databases. For beginners, the ease of use depends on your background. If you're familiar with relational databases, it's easy. If not, you might need to read the documentation or ask for support.
Saurav Kumar - PeerSpot reviewer
Mar 15, 2024
Provides us with the capability to execute multiple queries according to our requirements
I can describe a project where we use Elasticsearch, Logstash, and Kibana (ELK stack) for our archiving objectives. I work in the security department of a Fintech company in the payment industry. We use the ELK stack to connect our internal systems with the bank's systems and we used Beats for data…

Quotes from Members

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

Pros

"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 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 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."
"It's easier to work with big data and calculations using the product."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"The tool is column-based and infinitely scalable."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"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."
"It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good."
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"Data indexing of historical data is the most beneficial feature of the product."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"It is a stable and good platform."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
 

Cons

"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."
"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."
"If you join our team, it should be easy for you to use ClickHouse, especially if you are a developer. However, you need to read the documentation and understand the problems you are trying to solve."
"We had a lot of troubles while deploying a whole cluster."
"I would like ClickHouse to work more on integration with third-party tools."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"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."
"The real-time search functionality is not operational due to its impact on system resources."
"The UI point of view is not very powerful because it is dependent on Kibana."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."
"There are challenges with performance management and scalability."
"There are some features lacking in ELK Elasticsearch."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"They're making changes in their architecture too frequently."
 

Pricing and Cost Advice

"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."
"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."
"The tool is free."
"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."
"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
"The solution is free."
"​The pricing and license model are clear: node-based model."
"The price of Elastic Enterprise is very, very competitive."
"The solution is less expensive than Stackdriver and Grafana."
"This product is open-source and can be used free of charge."
"ELK has been considered as an alternative to Splunk to reduce licensing costs."
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Top Industries

By visitors reading reviews
Computer Software Company
28%
Educational Organization
18%
Manufacturing Company
9%
University
8%
Computer Software Company
18%
Financial Services Firm
16%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with ClickHouse?
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 ce...
What is your primary use case for ClickHouse?
I used ClickHouse to collect data, put it in the database, and then analyze it to find insights. The main advantage is that I can install it on my computer instead of using cloud-based solutions, s...
What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
I would rate the pricing a seven out of ten, with one being high price and ten being low price. It could be cheaper for certain use cases, but since it gets the job done, no complaints for the pric...
What needs improvement with ELK Elasticsearch?
Elastic Search needs better guides for developers. Better guides for development.
 

Comparisons

 

Also Known As

No data available
Elastic Enterprise Search, Swiftype, Elastic Cloud
 

Overview

 

Sample Customers

Information Not Available
T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Find out what your peers are saying about ClickHouse vs. Elastic Search and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.