Amazon Aurora vs MariaDB comparison

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Amazon Aurora

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Executive SummaryUpdated on Jun 3, 2026

MariaDB and Amazon Aurora are prominent competitors in the relational database market. While MariaDB stands out for its cost-effectiveness and open-source nature, Amazon Aurora is preferred by enterprises that need high performance and seamless integration with AWS.

Features: MariaDB is appreciated for its affordability, simplicity in configuration, and its open-source ecosystem, which supports scalability and complex queries. It is favored for easy integration and its streamlined SQL capabilities. Conversely, Amazon Aurora is recognized for superior performance and speed, featuring automatic scaling and high availability, making it a valuable asset for AWS-integrated services. Its ability to manage multiple read replicas is a significant advantage for users seeking reliable performance.

Room for Improvement: MariaDB requires advancements in enterprise-level features, particularly in security and scalability, with a need for better handling of complex queries and replication processes. Amazon Aurora customers point to high costs as a challenge, as well as the need for improved vectorization for data science applications and UI enhancements. Better cryptographic features and frequent support for PostgreSQL extensions are also recommended.

Ease of Deployment and Customer Service: MariaDB provides excellent support for on-premises deployment, often preferred for environments benefiting from its open-source model and community resources. Users typically manage setups independently. In contrast, Amazon Aurora offers a cloud-oriented solution, appealing to those needing managed services with rapid scalability, backed by dedicated support and seamless integration within the AWS ecosystem.

Pricing and ROI: MariaDB's strength lies in its cost-effectiveness as it is open-source and free, making it an attractive choice for budget-conscious users seeking to avoid high licensing fees associated with other solutions like Oracle. Amazon Aurora, while more expensive, offers justifiable costs through increased performance and operational efficiencies, offering savings in management overhead and including built-in functionalities without additional licensing fees. Aurora's pricing is seen as acceptable due to its enhanced functionality when used within the AWS framework.

To learn more, read our detailed Amazon Aurora vs. MariaDB Report (Updated: June 2026).

Amazon Aurora vs. MariaDB

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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:

ROI

Sentiment score

5.0

Users switching to Amazon Aurora reduced costs by 30%, improved performance, and saved $60,000 yearly, enhancing efficiency.

Sentiment score

6.6

MariaDB offers cost savings, secure AI data handling, SQL integration, and community-driven features, benefiting up to 90% of users.

Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.

For more quotes and insights, download the Amazon Aurora report

Digital Services & Engagement Senior Manager at AXA

Since it handles vector storage and similarity searches natively alongside your relational data, I can seamlessly combine precise SQL filters with vector queries, which guarantees that the data retrieved for my AI application is always up-to-date and consistent.

For more quotes and insights, download the MariaDB report

Student at Raisoni Group

Customer Service

Sentiment score

5.6

Amazon Aurora customer service varies, with effective support for high-tier plans but limited help for non-business users.

Sentiment score

6.2

MariaDB offers enterprise support but most users rely on clear documentation and community assistance to resolve issues.

Technical support from Amazon is rated very highly.

Digital Services & Engagement Senior Manager at AXA

The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.

For more quotes and insights, download the Amazon Aurora report

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

They came and tuned our queries with one-to-one assistance.

Prabhat-Ranjan

Architect at LTIMindtree

Compared to MongoDB, there are some platform deficiencies, but the support team shouldn't bear that burden.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Scalability Issues

Sentiment score

7.9

Amazon Aurora's exceptional scalability effortlessly handles large data volumes, ensuring high performance and growth with minimal operational disruptions.

Sentiment score

6.8

MariaDB is scalable, excelling in small to medium setups but needing extra tools and configuration for larger environments.

This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.

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

Regarding scalability and the ability to scale, I would give it a 9.5 out of ten.

For more quotes and insights, download the Amazon Aurora report

Principal Engineer at a tech vendor with 10,001+ employees

A specific challenge I have faced is troubleshooting performance degradation during heavy write transaction tables.

For more quotes and insights, download the MariaDB report

Student at Raisoni Group

Stability Issues

Sentiment score

7.5

Amazon Aurora is stable and reliable, with high user ratings and effective management of MySQL and PostgreSQL availability.

Sentiment score

7.7

MariaDB is stable and reliable, though specific configurations like clustering may pose occasional stability issues.

I would rate the stability of Amazon Aurora as a nine out of ten.

Principal Engineer at a tech vendor with 10,001+ employees

It offers a stable environment, ensuring consistent performance.

For more quotes and insights, download the Amazon Aurora report

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

We haven't found issues with the stability of MariaDB.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Room For Improvement

Amazon Aurora needs improved pricing, performance, scalability, developer features, documentation, compatibility, integration, and regular updates for user satisfaction.

MariaDB enhances integration and UI but needs improved stability, replication, views, BI tool integration, and complex query performance.

Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.

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

If Amazon improves this vectorization, it would be much more useful for data science and AI projects.

Principal Engineer at a tech vendor with 10,001+ employees

There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.

For more quotes and insights, download the Amazon Aurora report

Digital Services & Engagement Senior Manager at AXA

MariaDB is scalable and easy to scale.

Co-Founder at Vsigma IT Labs Pvt Ltd

The key area where MariaDB could be improved is its native GUI tooling; while the command-line interface works perfectly fine, the built-in visual tools for administration, management, and query design feel outdated compared to some competitors.

For more quotes and insights, download the MariaDB report

Student at Raisoni Group

Oracle is very advanced compared to MariaDB, and those advanced features are not available in MariaDB.

Prabhat-Ranjan

Architect at LTIMindtree

Setup Cost

Amazon Aurora's pricing is justified by its speed and features, with costs based on memory, storage, and usage.

MariaDB is a cost-effective, open-source database solution offering a free Community Edition and affordable enterprise alternatives to Oracle.

Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.

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

The pricing is reasonable and not overly expensive.

For more quotes and insights, download the Amazon Aurora report

Digital Services & Engagement Senior Manager at AXA

The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.

Rubens Oliveira

Data & Solution Archtect at Enkel

MariaDB is in the pricey range, especially for huge databases handling terabytes of data.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Valuable Features

Amazon Aurora offers high performance, auto-scaling, AWS integration, with MySQL/PostgreSQL compatibility and managed architecture for efficient database management.

MariaDB is reliable and scalable, offering open-source benefits, SQL compliance, excellent performance, and broad community support for various needs.

The functions I have found most valuable in Amazon Aurora PostgreSQL are features that are not available in normal RDS PostgreSQL, particularly for scaling and restoration purposes in the event of failure.

Principal Engineer at a tech vendor with 10,001+ employees

Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.

Digital Services & Engagement Senior Manager at AXA

It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.

For more quotes and insights, download the Amazon Aurora report

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

Encryption is available in MariaDB, so we are secure for transmitting data without concern about moving over networks.

Prabhat-Ranjan

Architect at LTIMindtree

Being able to store unstructured JSON directly into a column while still using standard SQL functions such as JSON_EXTRACT to query specific keys has saved me from having to constantly alter our database schemas.

Student at Raisoni Group

Configuration, setup, and schema design are good features in MariaDB.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Categories and Ranking

Amazon Aurora

Ranking in Relational Databases Tools

6th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (6th)

MariaDB

Ranking in Relational Databases Tools

9th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Open Source Databases (8th)

Mindshare comparison

As of June 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.2%, up from 2.9% compared to the previous year. The mindshare of MariaDB is 3.5%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Amazon Aurora	3.2%
MariaDB	3.5%
Other	93.3%

Relational Databases Tools

Featured Reviews

Cloud database has delivered high performance and cost savings for data recovery and growth

Principal Engineer at a tech vendor with 10,001+ employees

Amazon can make better access levels and reduce costs for Amazon Aurora. A cost reduction would support multiple teams to adopt this solution since the cost is currently higher. Comparatively, we have the feature of scaling and everything we need. If you launch PostgreSQL on-premises, you need to have a separate DBA for maintenance and everything. If Amazon reduces the cost of Amazon Aurora, it would support large team adoption. A great feature to see in the next version of Amazon Aurora would be improvements in vectorization. In our PostgreSQL, we have pg_vector that helps with vectorizing many of the tables and that is used for data science projects. If Amazon improves this vectorization, it would be much more useful for data science and AI projects.

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Has supported web application data needs but requires design adjustments to manage complex queries efficiently

Co-Founder at Vsigma IT Labs Pvt Ltd

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.

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

University

10%

Computer Software Company

Manufacturing Company

Computer Software Company

11%

Financial Services Firm

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	12
Large Enterprise	26

Questions from the Community

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

The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper. However, when you manage the administration more closely, you can control costs better with Amazon Aurora. ...

What needs improvement with Amazon Aurora?

What is your primary use case for Amazon Aurora?

Amazon Aurora is a service provided by AWS, and we received support from AWS for our implementation. The direction we are moving toward is specifically Amazon Aurora PostgreSQL.

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.

YugabyteDB vs Amazon Aurora

Comparisons

Compared 12% of the time

Oracle Database vs Amazon Aurora

Compared 12% of the time

SQL Server vs Amazon Aurora

Compared 9% of the time

Oracle Database Cloud Service vs Amazon Aurora

Compared 9% of the time

Oracle MySQL Cloud Service vs Amazon Aurora

Compared 5% of the time

More Amazon Aurora Competitors

MySQL vs MariaDB

Compared 13% of the time

PostgreSQL vs MariaDB

Compared 11% of the time

Firebird SQL vs MariaDB

Compared 11% of the time

SQL Server vs MariaDB

Compared 8% of the time

CockroachDB vs MariaDB

Compared 3% of the time

More MariaDB Competitors

Product Reports

Amazon Aurora

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Overview

Amazon Aurora offers a relational database service with high availability and compatibility with MySQL and PostgreSQL. It is designed for efficient scalability and seamless integration within AWS, making it optimal for applications requiring robust performance and reliability.

Amazon Aurora distinguishes itself through its managed maintenance, ensuring high operational efficiency. It provides users with the ability to auto-scale their database resources, allowing businesses to maintain cost efficiency without sacrificing performance. The service includes robust disaster recovery options and supports up to sixteen read replicas, which are critical for mission-critical applications. Users benefit from smooth, cross-region replication and integration capabilities with other AWS services, enhancing data reliability and accessibility.

What are the most important features of Amazon Aurora?

Multiple-read and single-write capabilities: Offers versatile data handling for improved performance.
Seamless SQL standardization: Ensures compatibility with existing systems.
Auto-scaling: Adjusts resources dynamically based on workload demands.
High performance: Provides efficient data processing and fast response times.
Integration with AWS services: Enhances functionality through a secure ecosystem.

What benefits and ROI should users consider?

Cost management: Efficient scaling reduces unnecessary expenditure.
Reliability: Fault tolerance and replication ensure data availability.
Operational efficiency: Managed maintenance lowers administrative overhead.
Scalability: Supports seamless service adaptation to changing business needs.

Amazon Aurora is extensively used across various industries such as finance, e-commerce, and healthcare, supporting internal applications with its relational database prowess. Many organizations leverage its serverless capabilities and cost-effective scalability for developing business intelligence and payment processing solutions. The seamless migration assistance from Oracle databases further underscores its appeal for enterprises looking to optimize database performance and reduce operational costs.

Amazon Web Services (AWS)

MariaDB is a robust database solution known for its scalability, speed, and user-friendliness. It supports seamless integration and provides reliable performance in handling large datasets, offering strong community backing alongside its open-source nature.

MariaDB is renowned for efficiently managing large databases and complex relationships while being stable and easy to integrate. With advanced features like replication, encryption, and SQL compatibility, it offers fast query processing. Its straightforward installation and management processes facilitate seamless enterprise integrations and ensure high performance in real-time data scenarios. However, enhancements in enterprise integration, clustering, and scalability are necessary. Addressing challenges with complex queries, security, and user experience would be advantageous, alongside offering robust technical support and a competitive pricing model.

What are the key features of MariaDB?

Scalability: Handles large databases and complex relationships effectively.
User-Friendliness: Offers easy integration and management.
Speed: Provides fast query processing using multi-core processing efficiently.
Advanced Features: Includes replication, encryption, and SQL compatibility.
Open-Source: Encourages strong community support and continuous improvement.

What benefits should users consider when evaluating MariaDB?

Performance: High performance in real-time data processing.
Integration: Seamless integration with enterprise systems and SaaS applications.
Community Support: Strong open-source community for troubleshooting and development.
Cost-Effectiveness: Competitive pricing compared to proprietary databases.
Compatibility: MySQL compatibility for easier transitions and migrations.

MariaDB is extensively utilized in backend support for cloud telephony platforms, ERP systems, and financial software, being crucial for web application development and data storage. Entities favor its compatibility with MySQL for complex join queries and its support for structured data management in SaaS applications.

Sample Customers

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

Google, Wikipedia, Tencent, Verizon, DBS Bank, Deutsche Bank, Telefónica, Huatai Securities

Amazon Aurora vs. MariaDB