Databases · head to head
Amazon Aurora vs Estuary

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

Estuary
Databases
Real-time data integration combining streaming, CDC, and batch
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Estuary per-GB pricing adds up quickly for high-volume scenarios
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Estuary covers Real-time data delivery.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Amazon Aurora and Estuary actually diverge.
| Attribute | Amazon Aurora | Estuary |
|---|---|---|
| Pricing model | usage-based | Usage-based per GB plus per-connector cost |
| Platforms | AWS Cloud | Cloud, Private Cloud, BYOC |
| Founded | 2006 | 2019 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 Estuary
- Real-time data delivery
- Change data capture
- Batch processing
- Data transformation
- Pre-built connectors
- Multiple deployments
- RBAC and monitoring
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Estuary
- Data storagenot Estuary
- Application backendnot Estuary
- Reportingnot Estuary
- Data analyticsnot Estuary
Estuary
- Real-time data replication to data warehousesnot Amazon Aurora
- Change data capture from operational databasesnot Amazon Aurora
- Feeding analytics and BI systems with fresh datanot Amazon Aurora
- Powering real-time AI and ML data pipelinesnot 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
Estuary
- Per-GB pricing adds up quickly for high-volume scenarios
- No transparent per-connector volume discounts below 6 connectors
- Limited to data movement; transformation capabilities are basic
- BYOC and private deployment requires enterprise plan
- Smaller ecosystem compared to established alternatives
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
Estuary
Free- DeveloperFree
- 10 GB per month
- 2 connector instances maximum
- No credit card required
- Cloud$0.5/GB
- $0.50 per GB of data moved
- $100 per connector monthly (6+ connectors $50 each)
- 200+ connectors
- Enterprise$null/custom
- Volume-based discounts
- SOC 2 and HIPAA compliance
- SSO authentication
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 Estuary if
- You need real-time data delivery.
- You want to start without paying.
- You work on Cloud, Private Cloud, BYOC.
- You also want change data capture.
Questions people ask
- Is Amazon Aurora or Estuary better?
- Neither clearly leads. Amazon Aurora starts at Free and Estuary at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Estuary?
- Amazon Aurora starts at Free and Estuary at Free.
- Does Amazon Aurora or Estuary run on more platforms?
- Amazon Aurora runs on AWS Cloud. Estuary runs on Cloud, Private Cloud, BYOC.
- 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 Estuary is typically brought in for.
- What can Amazon Aurora do that Estuary cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Estuary covers Real-time data delivery, Change data capture, Batch processing, Data transformation.
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.
SourceEstuary: What is included in the free Developer plan?
Developer plan ($0/month) includes 10 GB of data per month and up to 2 connector instances, no credit card required.
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.
SourceEstuary: How is data pricing calculated on Cloud plan?
Cloud plan charges $0.50 per GB of data moved plus $100/month per connector for the first 6 connectors, then $50/month for additional connectors.
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.
SourceEstuary: What discount is available when adding 6+ connectors?
When using 6 or more connectors, the per-connector cost drops to $50/month from $100/month, saving $50 per additional connector.
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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- Estuary vs FaunaDB
- Estuary vs Cockroach Labs
- Estuary vs Azure SQL
- Estuary vs DataStax
- Estuary vs ScyllaDB
- Estuary vs MariaDB
- Estuary vs Aiven
- Estuary vs Apache Druid
- Estuary vs Couchbase
- Estuary vs QuestDB
- Estuary vs Vitess
- Estuary vs BigQuery
- Estuary vs CosmosDB
- Estuary vs Microsoft SQL Server
- Estuary vs Fivetran HVR
- Estuary vs ClickHouse
- Estuary vs Materialize
- Estuary vs Firebase Realtime Database
- Estuary vs SingleStore
- Estuary vs Tinybird
- Estuary vs Timeplus
- Estuary vs NATS
- Estuary vs Apache Pinot
- Estuary vs Apache Flink
- Estuary vs Apache Kafka
