We performed a comparison between Citus Data and MySQL based on real PeerSpot user reviews.
Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."
"Its distributed processing capabilities are a standout feature. It requires minimal changes to get up and running if you already have a system on PostgreSQL. Citus can run in its natural state."
"It's very straightforward to implement the solution. It took us two days to set up everything."
"The solution is great for small applications in particular."
"My main reason for using MySQL for this small customer database company and for some kinds of scientific projects was that I had to do the installation myself. I didn't have a database administration team behind me. Therefore, I was looking for something very easy to handle. MySQL is easy to install, connect, and do all such things."
"MySQL is a popular database platform for businesses because it is extremely easy to use."
"The solution is free to use, which is its most valuable aspect."
"The main advantage is the very large user base. This enables users to fix about any issue by answering any question."
"While MySQL offers strong basic functionality."
"What I really like about MySQL is the opportunity to search for information and organize it any way I like."
"Apart from the features that are in the enterprise part, we find the database to be valuable. The connectors and the backup features are valuable as well. We use the basic database. We don't really use the extra features. Our clients like the security features in the database."
"There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward."
"More features in monitoring and the reporting could make it better."
"Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues."
"The auto-tuning and NDB cluster has some limitations regarding foreign keys."
"MySQL is not easily scalable on cost effective consumer grade hardware."
"The availability of tools could be improved in the MySQL open-source platform. They can provide more analytical tools. I haven't had any particularly difficult issues to troubleshoot on MySQL, but in the past, on Microsoft SQL Server, I had to troubleshoot some difficult issues, and better tools were in place to see what was going on in real-time on the server. So, that's the bit that is lacking on the MySQL open-source platform."
"When I run into issues, I really have to research how to fix them."
"MySQL could be improved by adding more automation."
"In the next release, I would like to see the scalability features improved to allow you to configure it and reduce the complexity with the configuration, making it easier for the end-user to scale. Make it as simple as it can be."
"The solution could improve the monitoring. At the present time, you need to use third-party monitoring solutions."
"It could be more secure."
Citus Data is ranked 18th in Relational Databases Tools with 3 reviews while MySQL is ranked 4th in Relational Databases Tools with 140 reviews. Citus Data is rated 8.0, while MySQL is rated 8.2. The top reviewer of Citus Data writes "Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management". On the other hand, the top reviewer of MySQL writes "Good beginner base but it should have better support for backups". Citus Data is most compared with CockroachDB, YugabyteDB, Amazon Aurora, SQL Server and SingleStore, whereas MySQL is most compared with Firebird SQL, PostgreSQL, MariaDB, Teradata and SQL Server. See our Citus Data vs. MySQL report.
See our list of best Relational Databases Tools vendors.
We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.