Database & Data Management · head to head
DataStax vs Amazon Aurora
DataStax
Database & Data Management
The real-time data company for AI applications
- 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: DataStax dataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier; Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services
- They diverge on capability: DataStax covers Cassandra Compatible, Amazon Aurora covers MySQL/PostgreSQL Compatible.
Where they differ
Only the attributes on which DataStax and Amazon Aurora actually diverge.
| Attribute | DataStax | Amazon Aurora |
|---|---|---|
| Pricing model | freemium | usage-based |
| Platforms | Web, Aws, Azure, Gcp | AWS Cloud |
| Category | Unknown | Database & Data Management |
| Founded | 2010 | 2006 |
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 DataStax
- Cassandra Compatible
- Vector Search
- Serverless
- Multi-cloud
- Streaming
- CDC
- GraphQL API
- LangChain
Only in Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
Both cover
- Web support
- Aws support
What people use each for
The jobs each tool is most often brought in to do.
DataStax
- Real-time applicationsnot Amazon Aurora
- Content managementnot Amazon Aurora
- User profilesnot Amazon Aurora
- Mobile backendsnot Amazon Aurora
- Cachingnot Amazon Aurora
Amazon Aurora
- Transaction processingnot DataStax
- Data storagenot DataStax
- Application backendnot DataStax
- Reportingnot DataStax
- Data analyticsnot DataStax
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DataStax
- DataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
- DataStax's Astra DB documentation directs Standard plan customers to IBM's watsonx.data pricing for exact consumption-based rates following the DataStax/IBM deal, rather than publishing them on DataStax's own site
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
DataStax
Free- FreeFree
- 5GB storage
- 40M read/write ops
- Vector search
- Pay As You GoFree
- Usage-based pricing
- Multi-region
- Enterprise support
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 DataStax if
- You need cassandra compatible.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want vector search.
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 DataStax or Amazon Aurora better?
- Neither clearly leads. DataStax 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, DataStax or Amazon Aurora?
- DataStax starts at Free and Amazon Aurora at Free.
- Does DataStax or Amazon Aurora run on more platforms?
- DataStax runs on Web, Aws, Azure, Gcp. Amazon Aurora runs on AWS Cloud.
- Can I use DataStax for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DataStax best used for?
- DataStax is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what Amazon Aurora is typically brought in for.
- What can DataStax do that Amazon Aurora cannot?
- DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud. Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. 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.
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.
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.
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.
Source