Database & Data Management · head to head
Microsoft SQL Server vs Amazon Aurora
Microsoft SQL Server
Database & Data Management
Enterprise-grade relational database management system
- From
- Free
- Rated
- -
Amazon Aurora
Database & Data Management
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Microsoft SQL Server licensing and on-premises deployment costs are high compared to open-source alternatives, with Enterprise Edition exceeding $60,000 for minimum core requirements; Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services
- They diverge on capability: Microsoft SQL Server covers T-SQL, Amazon Aurora covers MySQL/PostgreSQL Compatible.
Where they differ
Only the attributes on which Microsoft SQL Server and Amazon Aurora actually diverge.
| Attribute | Microsoft SQL Server | Amazon Aurora |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure | AWS Cloud |
| Founded | 1989 | 2006 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 Microsoft SQL Server
- T-SQL
- ACID Compliance
- Advanced Security
- In-memory OLTP
- Columnstore Indexes
- Always On Availability
- Machine Learning Services
- Azure
Only in Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
What people use each for
The jobs each tool is most often brought in to do.
Microsoft SQL Server
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
Amazon Aurora
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
Both are used for transaction processing, data storage, application backend, reporting, data analytics, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Microsoft SQL Server
- Licensing and on-premises deployment costs are high compared to open-source alternatives, with Enterprise Edition exceeding $60,000 for minimum core requirements
- Performance monitoring toolset is insufficient for hybrid cloud environments requiring real-time analytics across multiple deployment types
- Heavy I/O resource consumption can saturate disk volumes and degrade performance when processing large transaction workloads
- Always On availability groups with up to 8 secondary replicas are limited to Enterprise edition only; Standard supports only basic availability groups with 2 replicas
- CPU and memory scaling is capped at 4 sockets or 32 cores on Standard edition, limiting deployments requiring higher compute capacity
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
Pricing, plan by plan
Microsoft SQL Server
Free- ExpressFree
- 4 cores maximum
- 1.4 GB memory per instance
- 50 GB database size limit
- DeveloperFree
- All Enterprise features
- Non-production use only
- Standard$3945/per 2-core pack
- 32 core maximum per instance
- 256 GB buffer pool memory
- Basic availability groups with 2 replicas
- Enterprise$15123/per 2-core pack
- Unlimited scaling
- Always On with up to 8 secondaries
- Advanced security and HA features
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Which should you pick?
Choose Microsoft SQL Server if
- You need t-sql.
- You want to start without paying.
- You work on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure.
- You also want acid compliance.
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.
Questions people ask
- Is Microsoft SQL Server or Amazon Aurora better?
- Neither clearly leads. Microsoft SQL Server starts at Free and Amazon Aurora at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Microsoft SQL Server or Amazon Aurora?
- Microsoft SQL Server starts at Free and Amazon Aurora at Free.
- Does Microsoft SQL Server or Amazon Aurora run on more platforms?
- Microsoft SQL Server runs on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure. Amazon Aurora runs on AWS Cloud.
- Can I use Microsoft SQL Server for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Microsoft SQL Server best used for?
- Microsoft SQL Server is most often used for transaction processing, data storage, application backend, reporting.
- What can Microsoft SQL Server do that Amazon Aurora cannot?
- Microsoft SQL Server covers T-SQL, ACID Compliance, Advanced Security, In-memory OLTP. Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database.
Answered from the vendors’ own pages
Microsoft SQL Server: What is the pricing model for SQL Server?
SQL Server uses core-based licensing with per-2-core pack pricing. Enterprise Edition costs approximately $15,123 per 2-core pack (minimum 8 cores). Standard Edition costs approximately $3,945 per 2-core pack. Developer and Express editions are free. Software Assurance adds 25-35% annually for upgrades and support.
SourceAmazon 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.
SourceMicrosoft SQL Server: Does SQL Server run on Linux?
Yes. SQL Server 2017 and later run on Linux (Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu), Docker containers, and Windows with feature parity including Always On availability groups, Active Directory authentication, and encryption.
SourceAmazon 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.
SourceMicrosoft SQL Server: Is there a free edition of SQL Server?
Yes. SQL Server Express is free and includes all functionality of Enterprise edition for development and testing, with limits of 4 cores, 1,410 MB memory per instance, and 50 GB per database. Developer edition is also free for non-production use.
SourceAmazon 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.
SourceMicrosoft SQL Server: Can SQL Server be deployed offline?
Yes. SQL Server can be installed from offline media on machines without internet access. Microsoft provides complete offline installation packages for SQL Server, SSMS, and supporting components, making deployment in isolated or air-gapped environments feasible.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceMicrosoft SQL Server: What high availability options does SQL Server provide?
SQL Server offers Always On availability groups (Enterprise only), Always On failover cluster instances, database mirroring, log shipping, and for disaster recovery, failover servers in Azure and Accelerated Database Recovery for faster recovery after failures.
SourceAmazon Aurora: How many read replicas does Aurora support?
Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.
Source