Amazon Aurora vs Citus Data comparison

Amazon Web Services (AWS) and Citus Data are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #10 with an average rating of 8.1, while Citus Data is ranked #22 with an average rating of 7.5. Amazon Web Services (AWS) holds a 3.6% mindshare in SQL, compared to Citus Data’s 1.8% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Citus Data users who would recommend it.

Amazon Aurora

Read 12 Amazon Aurora reviews

3,747 Views
3,388 Comparison Views

100% willing to recommend

Citus Data

Read 3 Citus Data reviews

1,481 Views
1,116 Comparison Views

100% willing to recommend

Amazon Aurora

Citus Data

Comparison Buyer's Guide

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Executive Summary

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.

To learn more, read our detailed Amazon Aurora vs. Citus Data Report (Updated: December 2024).

Buyer's Guide

Amazon Aurora vs. Citus Data

December 2024

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Categories and Ranking

Amazon Aurora

Ranking in Relational Databases Tools

10th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Citus Data

Ranking in Relational Databases Tools

22nd

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.6%, down from 4.3% compared to the previous year. The mindshare of Citus Data is 1.8%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

Rajitha Jatothu

Aws Devops Engineer at LTIMindtree

Achieve high performance with fault-tolerant and highly available database management

Aurora is a key pillar for us, offering performance and availability. It is faster than RDS and supports multi-region clusters and scalability. One feature we value is Aurora's ability to provide a reader endpoint, allowing applications to connect without tracking replicas. It supports auto-scaling and offers several options for monitoring and optimizing database performance. Aurora's fault tolerance and ability to handle multiple replicas contribute to its reliability and high performance.

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Arucy Lionel

Co-Founder at Afriziki

Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management

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. Currently, setting up a multi-node environment is challenging. It's a bit tricky. Installation on each PostgreSQL node can lead to communication issues between nodes. An automatic rebalancing feature would be a significant improvement. Currently, I have to manually command the rebalance. It would be more convenient if it was rebalanced automatically. The dashboard and monitoring capabilities are good, but it would be helpful to have an integrated availability dashboard.

Read full review

Quotes from Members

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

Pros

"Amazon Aurora stands out for its ease of use in a managed environment, inbuilt security, continuous backups, numerous read replicas, multi-region automated replication, and seamless integration with other AWS services."

"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 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."

"Aurora's features that I find the most beneficial include its database backup strategy, performance options, and input-output operations."

"We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities."

"Aurora is a key pillar for us, offering performance and availability."

"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."

"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."

More Amazon Aurora pros

"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."

Cons

"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."

"The product's distributed query process for MySQL needs improvement."

"Room for improvement might be in the UI, integrations, or data working capabilities for better user experience."

"It would have been helpful if they had provided some benchmarking numbers."

"I would like to see more AI-related features in future releases."

"The pricing could improve. It should be reduced."

"While Amazon Aurora meets your current scaling and storage needs, there is room for improvement in cryptography and scalability compared to other databases."

More Amazon Aurora cons

"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."

"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."

Pricing and Cost Advice

"There is no need to buy a license for the product. We can pay as per the use case."

"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."

"It is quite expensive."

"The price could be lower compared to its competitors."

"I would rate the pricing a six out of ten, with ten being expensive."

"It is an expensive solution."

"Citus Data is an open-source product."

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

14%

Government

Manufacturing Company

Computer Software Company

19%

Financial Services Firm

13%

Manufacturing Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon Aurora?

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.

See all answers

What is your experience regarding pricing and costs for Amazon Aurora?

While the setup cost of Aurora is not explicitly discussed, managing cloud pricing effectively is key to understanding overall expenditures. There is a preference to reduce costs per hour to encour...

See all answers

What needs improvement with Amazon Aurora?

Aurora’s finance aspects could be improved, particularly in reducing the per-hour use cost. This would help more users accept Aurora. I also faced challenges due to the static memory provisioning s...

See all answers

What do you like most about Citus Data?

You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well.

See all answers

What needs improvement with Citus Data?

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.

See all answers

What advice do you have for others considering Citus Data?

I rate the product a seven out of ten.

See all answers

Comparisons

SQL Server vs Amazon Aurora

Compared 41% of the time

Oracle Database vs Amazon Aurora

Compared 21% of the time

MariaDB vs Amazon Aurora

Compared 10% of the time

SAP HANA vs Amazon Aurora

Compared 6% of the time

YugabyteDB vs Amazon Aurora

Compared 4% of the time

More Amazon Aurora Competitors

YugabyteDB vs Citus Data

Compared 35% of the time

CockroachDB vs Citus Data

Compared 33% of the time

SQL Server vs Citus Data

Compared 6% of the time

MySQL vs Citus Data

Compared 6% of the time

Vertica vs Citus Data

Compared 4% of the time

More Citus Data Competitors

Product Reports

Buyer's Guide

Amazon Aurora

December 2024

Download Amazon Aurora product report

Buyer's Guide

Relational Databases Tools

December 2024

Download Citus Data product report

Learn More

Amazon Web Services (AWS)

Citus Data

Overview

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

Citus is a distributed database that extends PostgreSQL, allowing you to continue using all the powerful Postgres features while still scaling.

Whether you're running into a ceiling on a single node, or need more performance for real-time analytical queries Citus can help.

Sample Customers

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel

Cloud Flare, Agari, Mix Rank, Heap

Buyer's Guide

Amazon Aurora vs. Citus Data

December 2024

Free Report: Amazon Aurora vs. Citus Data

Find out what your peers are saying about Amazon Aurora vs. Citus Data and other solutions. Updated: December 2024.

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