Head-to-head · Sql Databases
MariaDB Server vs Amazon Aurora
MariaDB Server leads on 1 check, Amazon Aurora on 0, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreMariaDB Server · 6.9/10
- Free planonly MariaDB Server
MariaDB Server scores higher on our rubric for sql databases: 6.9 against 6.7 out of 10; our editors rank them #5 and #6.
MariaDB Server offers free plan; Amazon Aurora doesn't.
MariaDB Server is the better fit for free, self-hosted MySQL-compatible databases. Amazon Aurora is the better fit for AWS users needing managed, resilient SQL.
- MariaDB Server fits best
Free, self-hosted MySQL-compatible databases
- Amazon Aurora fits best
AWS users needing managed, resilient SQL
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Side by side
| Feature | MariaDB Server 6.9/10 Visit ↗ | Amazon Aurora 6.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 6.9 | 6.7 |
| Ranking | #5 in Sql Databases | #6 in Sql Databases |
| Best for | Free, self-hosted MySQL-compatible databases | AWS users needing managed, resilient SQL |
| Pricing model | Free | Paid |
| Starting price | Not published | Not published |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Self-hosted | Cloud |
| Platforms | Linux, Windows | Web |
| Support | Community, Docs | Email, Live chat, Phone, Tickets, Community, Docs · 24/7 |
| Integrations | 5 integrations | 9 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features MariaDB Server 0/1 · Amazon Aurora 0/1 | ||
| Managed backups | Not published | Not published |
| Specs | ||
| Deployment options | Not published | Not published |
| SQL standard support | Not published | Not published |
| Included storage | Not published | Not published |
| Availability SLA | Not published | Not published |
| Replication options | Not published | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | MariaDB Server is an open source, SQL-based relational database for developers and organizations that need a self-hosted option compatible with common MySQL-based applications. It supports transactional workloads, analytics and embedded… Read the review → |
For teams running transactional, SaaS, enterprise, or globally distributed applications on AWS, Amazon Aurora provides managed relational database infrastructure rather than servers to operate. Its database engines are compatible with… Read the review → |
Strengths and trade-offs
MariaDB Server — where it wins
- GPLv2 open source licensing and a free plan
- Read scaling, primary-replica replication and Galera clustering
- Connectors for C, Java, ODBC, Python and Node.js
Where it doesn't
- Self-hosted deployment requires managing the database environment
- Listed platforms are limited to Linux and Windows
- Support channels are community and documentation
Amazon Aurora — where it wins
- Storage spans three Availability Zones, with automatic replica failover.
- Supports up to 15 read replicas, continuous backups, and point-in-time recovery.
- Offers provisioned and serverless configurations with AWS integrations.
Where it doesn't
- Cloud-only deployment ties database hosting to AWS.
- Usage-based charges vary with engine, configuration, Region, storage, and I/O.
- Optional features are billed separately, making costs configuration-dependent.
- MariaDB Server6.9/10 · Free plan
A self-hosted, MySQL-compatible database with replication, clustering and multiple connectors.
Visit MariaDBFull verdict → - Amazon Aurora6.7/10 · Paid
A managed AWS database for teams that need resilient SQL and AWS service integrations.
Visit Amazon AuroraFull verdict →
More comparisons
- MySQL vs MariaDB Server
- PostgreSQL vs MariaDB Server
- Microsoft SQL Server vs MariaDB Server
- Oracle Database vs MariaDB Server
- MariaDB Server vs IBM Db2
- MariaDB Server vs SQLite
- Amazon Aurora vs IBM Db2
- Amazon Aurora vs SQLite
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update







