Databases · head to head
Amazon Aurora vs Snowflake

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

Snowflake
Machine Learning
The AI Data Cloud for enterprise data warehousing
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Snowflake no flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Snowflake covers Separated Compute/Storage.
Where they differ
Only the attributes on which Amazon Aurora and Snowflake actually diverge.
| Attribute | Amazon Aurora | Snowflake |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | AWS Cloud | Web, API |
| Category | Databases | Machine Learning |
| Founded | 2006 | 2012 |
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 Snowflake
- Separated Compute/Storage
- Near-zero Maintenance
- Data Sharing
- Time Travel
- Cloning
- Multi-cluster Warehouse
- Semi-structured Data
- dbt
Both cover
- Web support
- Aws support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Snowflake
- Data storagenot Snowflake
- Application backendnot Snowflake
- Reportingnot Snowflake
- Data analyticsnot Snowflake
Snowflake
- Cloud data warehousing and SQL analyticsnot Amazon Aurora
- Data engineering and ELT pipelinesnot Amazon Aurora
- Data sharing and marketplacenot Amazon Aurora
- AI/ML workloads via Snowpark and Cortexnot Amazon Aurora
- BI backend for tools such as Tableau and Power BInot 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
Snowflake
- No flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
- Free trial is capped at $400 in credits or 30 days, whichever comes first, not a perpetual free tier
- During the trial, certain features (external network access, hybrid tables, Openflow) are capped at 10 credits/day until a payment method is added
- Total cost combines compute credits, storage, and data transfer billed separately
Pricing, plan by plan
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Snowflake
Free- Standard$undefined/mo
- Consumption-based, per-credit pricing
- Enterprise$undefined/mo
- Consumption-based, per-credit pricing
- Business Critical$undefined/mo
- Consumption-based, per-credit pricing
- Virtual Private Snowflake$undefined/mo
- Consumption-based, per-credit pricing
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 Snowflake if
- You need separated compute/storage.
- You want to start without paying.
- You work on Web, API.
- You also want near-zero maintenance.
Questions people ask
- Is Amazon Aurora or Snowflake better?
- Neither clearly leads. Amazon Aurora starts at Free and Snowflake at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Snowflake?
- Amazon Aurora starts at Free and Snowflake at Free.
- Does Amazon Aurora or Snowflake run on more platforms?
- Amazon Aurora runs on AWS Cloud. Snowflake runs on Web, API.
- 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 Snowflake is typically brought in for.
- What can Amazon Aurora do that Snowflake cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Snowflake covers Separated Compute/Storage, Near-zero Maintenance, Data Sharing, Time Travel. Both handle Web support, Aws support.
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.
SourceSnowflake: How is Snowflake priced?
Snowflake uses a consumption based model. Compute is billed in credits and storage is charged monthly on the average amount stored after compression. Capacity can be bought on demand or pre-paid.
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.
SourceSnowflake: What Snowflake editions are there?
Snowflake sells four editions: Standard as the entry level offering, Enterprise for high growth and large scale customers, Business Critical for regulated industries handling sensitive data, and Virtual Private Snowflake for a completely isolated environment.
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.
SourceSnowflake: Does Snowflake publish a per credit price?
Not on its pricing options page. Snowflake directs buyers to its Credit Consumption Table and a pricing calculator for the rates, which vary by edition, region and cloud provider.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
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.
SourceRelated pages
More on Amazon Aurora
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