Software · head to head
Amazon Aurora vs Clay

Amazon Aurora
Software
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -
The short version
- Only Amazon Aurora has a free tier, so it costs nothing to try first.
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Clay two separate meters run at once, actions and data credits, and a plan can exhaust either independently
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Clay covers Data enrichment.
Where they differ
Only the attributes on which Amazon Aurora and Clay actually diverge.
| Attribute | Amazon Aurora | Clay |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | AWS Cloud | Web |
| Founded | 2006 | 2021 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 Clay
- Data enrichment
- Contact management
- Workflow automation
- Integration
- API access
- Salesforce
- HubSpot
- Zapier
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Clay
- Data storagenot Clay
- Application backendnot Clay
- Reportingnot Clay
- Data analyticsnot Clay
Clay
- Enriching prospect lists from multiple data providers in one tablenot Amazon Aurora
- Building automated outbound research and outreach workflowsnot 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
Clay
- Two separate meters run at once, actions and data credits, and a plan can exhaust either independently
- Data credit overage is sold at a 30% premium over the plan rate, so exceeding the allowance costs more per unit than planning for it
- The free plan allows 500 actions, 100 data credits and 200 rows per table
- The entry paid plan starts at $167 a month, and both paid prices are starting figures rather than fixed
- The free plan cannot buy overage at all, so hitting the limit stops work rather than billing for it
Pricing, plan by plan
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Clay
On request- Pricing upon request$undefined/month
- Data enrichment
- Integration
- Support
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.
Questions people ask
- Is Amazon Aurora or Clay better?
- Neither clearly leads. Amazon Aurora starts at Free and Clay at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Clay?
- Amazon Aurora has a free tier; the other does not. Paid plans start at Free for Amazon Aurora and On request for Clay.
- Does Amazon Aurora or Clay run on more platforms?
- Amazon Aurora runs on AWS Cloud. Clay runs on Web.
- Can I use Amazon Aurora for free?
- Yes. Amazon Aurora has a free tier, so you can try it without paying. Clay starts at On request.
- 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 Clay is typically brought in for.
- What can Amazon Aurora do that Clay cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Clay covers Data enrichment, Contact management, Workflow automation, Integration. Both handle Web 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.
SourceRelated pages
More on Amazon Aurora
Keep looking
Other head to heads
- Amazon Aurora vs Cockroach Labs
- Amazon Aurora vs PostgreSQL
- Amazon Aurora vs Airtable
- Amazon Aurora vs Elasticsearch
- Amazon Aurora vs PlanetScale
- Amazon Aurora vs Azure SQL
- Amazon Aurora vs ClickHouse
- Amazon Aurora vs Couchbase
- Amazon Aurora vs DuckDB
- Amazon Aurora vs DynamoDB
- Amazon Aurora vs MariaDB
- Amazon Aurora vs Oracle Database
- Amazon Aurora vs Amazon RDS
- Amazon Aurora vs Amazon Redshift
- Amazon Aurora vs Apache Druid
- Amazon Aurora vs Cassandra
- Amazon Aurora vs CouchDB
- Amazon Aurora vs Firebolt
- Amazon Aurora vs Outreach
- Amazon Aurora vs Gong
- Amazon Aurora vs Seismic
- Amazon Aurora vs Pipedrive
- Amazon Aurora vs HubSpot
- Amazon Aurora vs Salesforce
- Amazon Aurora vs Bitrix24
- Amazon Aurora vs Capsule
- Amazon Aurora vs Clari
- Amazon Aurora vs Freshsales
- Amazon Aurora vs Streak
- Amazon Aurora vs Zoho CRM
- Amazon Aurora vs Affinity
- Amazon Aurora vs Agile CRM
- Amazon Aurora vs Apollo.io
- Amazon Aurora vs Capsule CRM
- Amazon Aurora vs Clearbit
- Amazon Aurora vs Cloze
- Clay vs Cockroach Labs
- Clay vs PostgreSQL
- Clay vs Airtable
- Clay vs Elasticsearch
- Clay vs PlanetScale
- Clay vs Azure SQL
- Clay vs ClickHouse
- Clay vs Couchbase
- Clay vs DuckDB
- Clay vs DynamoDB
- Clay vs MariaDB
- Clay vs Oracle Database
- Clay vs Amazon RDS
- Clay vs Amazon Redshift
- Clay vs Apache Druid
- Clay vs Cassandra
- Clay vs CouchDB
- Clay vs Firebolt
- Clay vs Outreach
- Clay vs Gong
- Clay vs Seismic
- Clay vs Pipedrive
- Clay vs HubSpot
- Clay vs Salesforce
- Clay vs Bitrix24
- Clay vs Capsule
- Clay vs Clari
- Clay vs Freshsales
- Clay vs Streak
- Clay vs Zoho CRM
- Clay vs Affinity
- Clay vs Agile CRM
- Clay vs Apollo.io
- Clay vs Capsule CRM
- Clay vs Clearbit
- Clay vs Cloze

