Try our new research platform with insights from 80,000+ expert users

ClickHouse vs InfluxDB comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

ClickHouse
Ranking in Open Source Databases
8th
Average Rating
8.8
Number of Reviews
9
Ranking in other categories
Vector Databases (11th)
InfluxDB
Ranking in Open Source Databases
11th
Average Rating
7.8
Number of Reviews
9
Ranking in other categories
Non-Relational Databases (5th), Network Monitoring Software (61st), IT Infrastructure Monitoring (51st), NoSQL Databases (6th)
 

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.
PedroCampos - PeerSpot reviewer
Aug 25, 2022
A powerful, lightweight time series database with a simple query language and easy setup
Influx has TICK Stack, which contains multiple services and multiple products that work together. InfluxDB is just a time series database, and it works really well. I haven't yet had the time to look into the new stack based on Influx 2.0, but currently, as a time series database, InfluxDB is working the way it is supposed to work. In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version. I would also like to have high availability features, such as replication, active-active, etc. If they can put an extra plugin or service on top of it, it would be something interesting. I am not sure if they have high availability to make it data center-aware for clustering. For example, I am not sure whether you can have it at different locations with big clusters that are location-aware. Even in their documentation or presentation, they talk too little about high availability and extended clusters with different locations. They might already have it in the newer versions. We have Influx 1.8 in our production in the stage and internal workloads environments. The other products in their ecosystem, such as Chronograf, can be improved. Chronograf is a dashboarding or visualization layer product, and that, for sure, can be improved.

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."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"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 tool is column-based and infinitely scalable."
"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."
"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 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."
"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"The solution is very powerful."
"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."
 

Cons

"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 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."
"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."
"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."
"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."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."
"The solution's UI can be more user-friendly."
"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."
"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."
"The solution doesn't have much of a user interface."
"The error logging capability can be improved because the logs are not very informative."
"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
 

Pricing and Cost Advice

"ClickHouse has an open-source version, which is free to use and has almost all the features."
"We used the free, community version of ClickHouse."
"The tool is free."
"The tool is open-source."
"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 Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"InfluxDB recently increased its price. It is very expensive now."
"We are using the open-source version of InfluxDB."
"InfluxDB is open-source, but there are additional costs for scaling."
"The tool is an open-source product."
report
Use our free recommendation engine to learn which Open Source Databases solutions are best for your needs.
814,649 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
28%
Educational Organization
18%
Manufacturing Company
9%
University
8%
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Educational Organization
8%
 

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 InfluxDB?
InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data ...
What needs improvement with InfluxDB?
InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data coll...
What is your primary use case for InfluxDB?
I use the solution to store and manage data from various sensors in a production environment. I have developed a system where data from these sensors is communicated through an OPC UA receiver and ...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Find out what your peers are saying about ClickHouse vs. InfluxDB and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.