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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
Reviews Sentiment
7.2
Number of Reviews
65
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (11th), Search as a Service (1st)
 

Featured Reviews

Dmitriy Yugin - PeerSpot reviewer
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
Provides us with the capability to execute multiple queries according to our requirements
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 analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical.

Quotes from Members

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

Pros

"It's easier to work with big data and calculations using the product."
"The tool is column-based and infinitely scalable."
"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."
"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."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"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 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 gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"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."
"The product is scalable with good performance."
"It's a stable solution and we have not had any issues."
"The initial installation and setup were straightforward."
"It is easy to scale with the cluster node model.​"
"The UI is very nice, and performance wise it's quite good too."
 

Cons

"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."
"I would like ClickHouse to work more on integration with third-party tools."
"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."
"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."
"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."
"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."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"There is an index issue in which the data starts to crash as it increases."
"Elastic Search needs to improve its technical support. It should be customer-friendly and have good support."
"Elastic Enterprise Search's tech support is good but it could be improved."
"We have an issue with the volume of data that we can handle."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"The reports could improve."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
 

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."
"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."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"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."
"We used the free, community version of ClickHouse."
"An X-Pack license is more affordable than Splunk."
"There is a free version, and there is also a hosted version for which you have to pay. We're currently using the free version. If things go well, we might go for the paid version."
"The cost varies based on factors like usage volume, network load, data storage size, and service utilization. If your usage isn't too extensive, the cost will be lower."
"​The pricing and license model are clear: node-based model."
"We are using the free version and intend to upgrade."
"The tool is not expensive. Its licensing costs are yearly."
"ELK has been considered as an alternative to Splunk to reduce licensing costs."
"This product is open-source and can be used free of charge."
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Top Industries

By visitors reading reviews
Computer Software Company
27%
Educational Organization
17%
Financial Services Firm
9%
Manufacturing Company
9%
Computer Software Company
18%
Financial Services Firm
15%
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 am not directly involved with pricing or setup costs. While I know a portion is open-source, a paid version might be necessary.
What needs improvement with ELK Elasticsearch?
An improvement would be to have an interface that allows easier navigation and tracing of logs. The current system requires manually inputting dates to verify alerts. A visual timeline that pinpoin...
 

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.
816,406 professionals have used our research since 2012.