Databases · head to head
Amazon Aurora vs Mathesar

Amazon Aurora
Databases
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -

Mathesar
Spreadsheets
Spreadsheet style interface that edits an existing PostgreSQL database directly, with no schema of its own
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Mathesar there is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Mathesar covers Direct PostgreSQL editing.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Amazon Aurora and Mathesar actually diverge.
| Attribute | Amazon Aurora | Mathesar |
|---|---|---|
| Pricing model | usage-based | Open source, no licence fee |
| Platforms | AWS Cloud | Web, Linux |
| Category | Databases | Spreadsheets |
| Founded | 2006 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
Only in Mathesar
- Direct PostgreSQL editing
- PostgreSQL permissions
- Schema editing
- Data exploration
- Relationship navigation
- Import of tabular files
- Self hosted only
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Mathesar
- Data storagenot Mathesar
- Application backendnot Mathesar
- Reportingnot Mathesar
- Data analyticsnot Mathesar
Mathesar
- A nonprofit or research group whose data is already in PostgreSQL and whose staff cannot write SQLnot Amazon Aurora
- Giving analysts a safe editing interface governed by database roles that already existnot Amazon Aurora
- Replacing a hand built Django or Rails admin screen that nobody wants to maintainnot Amazon Aurora
- Editing production reference data where an export, edit and reimport cycle would risk losing concurrent changesnot Amazon Aurora
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amazon Aurora
- Aurora requires AWS ecosystem knowledge and integration with other AWS services
- Pricing can become expensive with high-traffic applications using many read replicas
- Limited support for non-relational data types compared to NoSQL alternatives
Mathesar
- There is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.
- It works only with PostgreSQL, so a MySQL, SQL Server or SQLite estate is excluded outright.
- There are no automations, no webhooks and effectively no integration catalogue, so it edits data and does nothing else.
- Because it writes to the live database, a careless bulk edit or column type change is a production change with no staging step and no undo.
- Development is grant and community funded rather than commercially funded, so roadmap pace and long term continuity carry a different risk profile from a venture backed vendor.
Pricing, plan by plan
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Mathesar
Free- Self hosted open sourceFree
- No licence fee
- No hosted option offered
- Connects to your existing PostgreSQL database
Which should you pick?
Choose Amazon Aurora if
- You need mysql/postgresql compatible.
- You want to start without paying.
- You work on AWS Cloud.
- You also want 5x mysql performance.
Choose Mathesar if
- You need direct postgresql editing.
- You want to start without paying.
- You work on Web, Linux.
- You also want postgresql permissions.
Questions people ask
- Is Amazon Aurora or Mathesar better?
- Neither clearly leads. Amazon Aurora starts at Free and Mathesar at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Mathesar?
- Amazon Aurora starts at Free and Mathesar at Free.
- Does Amazon Aurora or Mathesar run on more platforms?
- Amazon Aurora runs on AWS Cloud. Mathesar runs on Web, Linux.
- Can I use Amazon Aurora for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amazon Aurora best used for?
- Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Mathesar is typically brought in for.
- What can Amazon Aurora do that Mathesar cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Mathesar covers Direct PostgreSQL editing, PostgreSQL permissions, Schema editing, Data exploration.
Answered from the vendors’ own pages
Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?
Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.
SourceMathesar: Is there a cloud version?
No. Self hosting is the only option, and that is a deliberate project decision rather than a gap waiting to be filled.
Amazon Aurora: What uptime SLA does Amazon Aurora provide?
Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.
SourceMathesar: How does it handle permissions?
Through PostgreSQL roles and privileges directly, so there is no second permission model to keep in step.
Amazon Aurora: How much does Amazon Aurora cost?
Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.
SourceMathesar: What is the row limit?
Whatever PostgreSQL can handle. Mathesar adds no storage layer of its own.
Amazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceMathesar: Does it support databases other than PostgreSQL?
No.
Amazon Aurora: How many read replicas does Aurora support?
Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.
SourceMathesar: Can it replace Airtable?
Only for editing and exploring data. There are no automations, apps or integrations.
Related pages
More on Amazon Aurora
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- Mathesar vs Vitess
- Mathesar vs BigQuery
- Mathesar vs CosmosDB
- Mathesar vs Microsoft SQL Server
- Mathesar vs Baserow
- Mathesar vs NocoDB
- Mathesar vs Teable
- Mathesar vs Rowy
- Mathesar vs SeaTable
- Mathesar vs APITable
- Mathesar vs Google Sheets
- Mathesar vs Zoho Sheet
- Mathesar vs Sigma Computing
- Mathesar vs Redash
- Mathesar vs Fibery
- Mathesar vs Budibase
- Mathesar vs Equals
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