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."
"It's very straightforward to implement the solution. It took us two days to set up everything."
"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."
"MySQL is easy to integrate. It works with just about every language."
"The main advantage is the very large user base. This enables users to fix about any issue by answering any question."
"It is easy to use. It is simple to implement, which makes it suitable for our projects because we have deadlines. MySQL is also open-source, which is another plus point."
"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."
"The one interesting thing about this product is that it is open source. It comes from an open source product. MySQL has been positioned as open source, but it also provides support."
"I like MySQL's feature that helps to automate things."
"MySQL's most significant attribute is its capability to create, modify, and maintain databases. This is crucial and advantageous in procedures, such as SOAR. Therefore, all SQL functions are beneficial to any backend developer or developer who requires data storage."
"MySQL is easy and convenient for me. I don't need to rely on anyone. I can write the code and extract the information. It is fast if you know how to use it. The solution is not expensive, and most of the developers know how to use it. It is easy to create tables. The solution is stable and has good performance. The connection with AWS gives regular updates, which is manual otherwise and a nightmare."
"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."
"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."
"More features in monitoring and the reporting could make it better."
"Integration is a key feature in need of improvement."
"If it had something similar to Microsoft’s DTS engine then it would be the best database system out there."
"There should be more tools to manage the on-premises version and more automation features."
"The auto-tuning and NDB cluster has some limitations regarding foreign keys."
"It is not as powerful as SQL Server. It can be more powerful. It is not scalable and has certain limitations, which is not the case with SQL Server."
"It could be a little bit simpler to use."
"The user interface could be more user friendly. Mainly because most of the times we see black and white digital lines. Something like Python."
"I would like to have features that allow us to jump between the cloud and our on-premises system."
Citus Data is ranked 18th in Relational Databases Tools with 3 reviews while MySQL is ranked 4th in Relational Databases Tools with 142 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.
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