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Amazon Aurora Serverless vs MariaDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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 Serverless
Ranking in Relational Databases Tools
21st
Average Rating
9.0
Reviews Sentiment
8.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
MariaDB
Ranking in Relational Databases Tools
9th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
62
Ranking in other categories
Open Source Databases (8th)
 

Mindshare comparison

As of July 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 1.2%, up from 0.3% compared to the previous year. The mindshare of MariaDB is 3.5%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
MariaDB3.5%
Amazon Aurora Serverless1.2%
Other95.3%
Relational Databases Tools
 

Featured Reviews

Anibal Palacios - PeerSpot reviewer
CTO at a consultancy with 11-50 employees
Database availability has improved with quick recovery and enhanced network setup
I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options Aurora is used as it is an easier solution for our requirements and offers high availability. It allows us to…
AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Has supported web application data needs but requires design adjustments to manage complex queries efficiently
Complex queries in MariaDB where the query needs to parse thousands of lines or data values face some performance issues. For small and medium-size volume, it is pretty good. If it goes beyond certain data and complex queries, we see performance issues. We tried the advanced replication feature between different regions, replicating data specifically residing on MariaDB to two different regions of MariaDB data, and there were some technical snags in terms of slowness and longer processing time. Point-in-time recovery in MariaDB is good for small databases. When data volume increases beyond 5 GB or 10 GB per day or runs into double-digit GBs, we found some performance issues. For data below 10 GB, it works fine. Performance is the primary focus area for MariaDB, particularly during transactions or complex query jobs where slow performance is observed. MariaDB is scalable and easy to scale.

Quotes from Members

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

Pros

"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure, and it is highly scalable with a favorable pricing model that greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth."
"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure."
"Aurora could improve its affordability, even though its price is very completive compared to DBs as SLQ Server."
"Amazon Aurora Serverless helps in reducing costs by allowing scalable solutions that split read and write endpoints, effectively managing database load and saving on capacity costs compared to our previous solution."
"Aurora makes it easier for me to create an environment within the network, offering faster recovery and 100% availability by replicating databases across two availability zones, and its scalability features for peak workloads are very beneficial."
"Amazon Aurora Serverless is easy to scale, offering a cluster-based shared scaling model with options for Autoscale."
"The product is easy to use and not hard to learn, therefore, when someone asks me for a good DB to use, then I tell them about MariaDB."
"I have found the solution to be easy to use from the get go, around five months back."
"The documentation is quite straightforward."
"The performance is very good."
"This solution is user-friendly."
"The solution's features have effectively met our operational requirements as a standard SQL database."
"MariaDB performs well as the backend database for our cloud-based telephony solution."
"The product has good documentation and you can find many examples online."
 

Cons

"Amazon Aurora Serverless could benefit from a few more security features, particularly in terms of its accessibility."
"Amazon Aurora could improve its detailed monitoring, especially in CloudWatch, to provide more precise query level insights."
"Aurora could improve its affordability, as it is currently considered a bit expensive."
"The stability could always continue to be improved upon."
"The maintenance and performance could be a bit better."
"The performance could be a bit better."
"It doesn't have the same level of maturity metrics as Postgres."
"The features available are very basic."
"Lacks time series data and additional driving support would be helpful."
"It would be good to have tools for debugging procedures and functions."
"An improvement would be scaling it up to the levels of Oracle, especially when it comes to resilience, so that we can do higher transactions for two databases or power our operation."
 

Pricing and Cost Advice

Information not available
"The tool is open-source."
"The price could be less expensive."
"The licensing cost is approximately $4000.00 per year and the licensing is based on the software and the number of posts that you make."
"It's an open-source solution."
"This is an open-source product, which can be used free of charge."
"The cost is quite good. You can have the open source, free version, which has adequate capacity."
"When it comes to MariaDB, it should have a more cost-effective license."
"It is free of charge."
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Top Industries

By visitors reading reviews
Computer Software Company
31%
Financial Services Firm
9%
Comms Service Provider
7%
Manufacturing Company
7%
Computer Software Company
11%
Financial Services Firm
9%
Comms Service Provider
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise12
Large Enterprise26
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Aurora Serverless?
In my experience, Aurora is a bit expensive. The costs depend on the size of the database.
What needs improvement with Amazon Aurora Serverless?
Aurora could improve its affordability, as it is currently considered a bit expensive. There is room to make it more cost-effective for users even though its price is very completive compared to DB...
What is your primary use case for Amazon Aurora Serverless?
I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options.
What is your experience regarding pricing and costs for MariaDB?
MariaDB is in the pricey range, especially for huge databases handling terabytes of data. The cost depends on the volume of data and different features enabled during configuration, such as backup ...
What needs improvement with MariaDB?
Sometimes, complex queries that were supported in Oracle are not available in MariaDB. Advanced indexing is not available. Oracle is very advanced compared to MariaDB, and those advanced features a...
What is your primary use case for MariaDB?
My client has been using MariaDB for the last four years. We are using MariaDB in the cloud.
 

Overview

 

Sample Customers

Information Not Available
Google, Wikipedia, Tencent, Verizon, DBS Bank, Deutsche Bank, Telefónica, Huatai Securities
Find out what your peers are saying about Amazon Aurora Serverless vs. MariaDB and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.