Amazon Aurora vs YugabyteDB comparison

Amazon Web Services (AWS) and Yugabyte are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.4, while Yugabyte is ranked #28. Amazon Web Services (AWS) holds a 3.1% mindshare in SQL, compared to Yugabyte’s 1.6% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution.

Amazon Aurora

Read 18 Amazon Aurora reviews

2,651 Views
2,356 Comparison Views

100% willing to recommend

YugabyteDB

689 Views
631 Comparison Views

Amazon Aurora

YugabyteDB

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Executive Summary

We performed a comparison between Amazon Aurora and YugabyteDB based on real PeerSpot user reviews.

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Relational Databases Tools

May 2025

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Review summaries and opinions

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

Categories and Ranking

Amazon Aurora

Ranking in Relational Databases Tools

7th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

YugabyteDB

Ranking in Relational Databases Tools

28th

Average Rating

0.0

Number of Reviews

Ranking in other categories

Open Source Databases (18th)

Mindshare comparison

As of May 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.1%, down from 4.2% compared to the previous year. The mindshare of YugabyteDB is 1.6%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

Adnan Shafiq

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

High availability and geographical redundancy ensure reliable performance and cost efficiency

Amazon Aurora ( /products/amazon-aurora-reviews ) provides up to fifteen to sixteen read replicas. It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR. As a managed service, maintenance tasks like backup and restore are handled by AWS ( /products/amazon-aws-reviews ), saving my organization significant time and money. Additionally, its fast cloning feature allows us to create a new clone from a large database swiftly, similar to a zero-copy cloning feature in Snowflake ( /products/snowflake-reviews ). This makes Amazon Aurora a compelling choice for my organization.

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

13%

Government

Insurance Company

Financial Services Firm

23%

Computer Software Company

18%

Manufacturing Company

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.

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

Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost. I rated it as two to three on a scale where ten is very expensive.

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What needs improvement with Amazon Aurora?

Amazon Aurora should upgrade its base PostgreSQL ( /products/postgresql-reviews ) versions more frequently and offer all PostgreSQL extensions. Keeping extensions up-to-date with PostgreSQL release...

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Comparisons

SQL Server vs Amazon Aurora

Compared 34% of the time

Oracle Database vs Amazon Aurora

Compared 23% of the time

MariaDB vs Amazon Aurora

Compared 8% of the time

Citus Data vs Amazon Aurora

Compared 7% of the time

CockroachDB vs Amazon Aurora

Compared 5% of the time

More Amazon Aurora Competitors

Citus Data vs YugabyteDB

Compared 29% of the time

CockroachDB vs YugabyteDB

Compared 21% of the time

PostgreSQL vs YugabyteDB

Compared 13% of the time

SQL Server vs YugabyteDB

Compared 9% of the time

EDB Postgres Advanced Server vs YugabyteDB

Compared 8% of the time

More YugabyteDB Competitors

Product Reports

Buyer's Guide

Amazon Aurora

May 2025

Download Amazon Aurora product report

Buyer's Guide

Open Source Databases

May 2025

Download YugabyteDB product report

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.

Amazon Web Services (AWS)

YugabyteDB is a high-performance distributed SQL database for powering global, internet-scale applications. ... As a cloud native database, it can be deployed across public and private clouds as well as in Kubernetes environments with ease. YugabyteDB is developed and distributed as an Apache 2.0 open source project.

Yugabyte

Sample Customers

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

Admiral, Abra Controls, Justuno, Midoin, KeepWorks

Buyer's Guide

Relational Databases Tools

May 2025

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