We performed a comparison between Amazon Aurora and Citus Data 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."The most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling."
"We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities."
"The most valuable feature is that the maintainability is offloaded to the service provider. I don't have to maintain a database or do any administrative tasks, which comes in handy."
"The most valuable feature is the ability to do multiple-read and single-write. These are the kinds of features that we were interested in, and Aurora takes care of that natively."
"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."
"Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code."
"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."
"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."
"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."
"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."
"It is a bit costly. The features are quite good, and I wouldn't say it requires any technical improvements. But from a cost perspective, some clients wouldn't go for Aurora because of that."
"There is improvement needed to have more developer focus. Additionally, it would be helpful to have a stand-alone solution outside of Amazon. Amazon has a tendency to favor developing web-based clients, which may not always provide the fastest or most responsive solution as desired."
"The product's distributed query process for MySQL needs improvement."
"I would like to see more AI-related features in future releases."
"It would have been helpful if they had provided some benchmarking numbers."
"The pricing could improve. It should be reduced."
"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."
Amazon Aurora is ranked 10th in Relational Databases Tools with 7 reviews while Citus Data is ranked 18th in Relational Databases Tools with 3 reviews. Amazon Aurora is rated 7.8, while Citus Data is rated 8.0. The top reviewer of Amazon Aurora writes "Easy-to-manage platform with a valuable auto-scaling feature ". On the other hand, the top reviewer of Citus Data writes "Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management". Amazon Aurora is most compared with SQL Server, Oracle Database, MariaDB, CockroachDB and YugabyteDB, whereas Citus Data is most compared with YugabyteDB, CockroachDB, SQL Server, MySQL and SingleStore. See our Amazon Aurora vs. Citus Data report.
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