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Software · head to head

Amazon Aurora vs Datadog

Amazon Aurora logo

Amazon Aurora

Software

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Datadog logo

Datadog

Software

Modern monitoring & security

From
$15/month
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; Datadog consumption-based pricing model makes costs hard to predict and can scale quickly
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Datadog covers Infrastructure monitoring.

Where they differ

Only the attributes on which Amazon Aurora and Datadog actually diverge.

Attributes where Amazon Aurora and Datadog differ
AttributeAmazon AuroraDatadog
Starting priceFree$15/month
Pricing modelusage-basedUnknown
Free tierYesNo
PlatformsAWS CloudWeb, Linux, Windows, macOS
Founded20062010

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 Datadog

  • Infrastructure monitoring
  • Application performance monitoring
  • Log management
  • Real user monitoring
  • Synthetic monitoring
  • Security monitoring
  • Network monitoring
  • Serverless monitoring

What people use each for

The jobs each tool is most often brought in to do.

Amazon Aurora

  • Transaction processingnot Datadog
  • Data storagenot Datadog
  • Application backendnot Datadog
  • Reportingnot Datadog
  • Data analyticsnot Datadog

Datadog

  • Infrastructure monitoringnot Amazon Aurora
  • Application performancenot Amazon Aurora
  • Security monitoringnot Amazon Aurora
  • Log analysisnot Amazon Aurora
  • Cloud monitoringnot 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

Datadog

  • Consumption-based pricing model makes costs hard to predict and can scale quickly
  • Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
  • No free tier for production monitoring
  • High costs for organizations with large amounts of log data or high-cardinality metrics

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

Datadog

$15/month
  • Infrastructure Monitoring$15/month
    • Host monitoring
    • Basic dashboards
  • APM$31/month
    • Application performance monitoring
    • Trace collection
  • Log Management$0.1/gb
    • Log indexing
    • Search and filter

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 Datadog if

  • You need infrastructure monitoring.
  • You work on Web, Linux, Windows, macOS.
  • You also want application performance monitoring.

Questions people ask

Is Amazon Aurora or Datadog better?
Neither clearly leads. Amazon Aurora starts at Free and Datadog at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Datadog?
Amazon Aurora has a free tier; the other does not. Paid plans start at Free for Amazon Aurora and $15/month for Datadog.
Does Amazon Aurora or Datadog run on more platforms?
Amazon Aurora runs on AWS Cloud. Datadog runs on Web, Linux, Windows, macOS.
Can I use Amazon Aurora for free?
Yes. Amazon Aurora has a free tier, so you can try it without paying. Datadog starts at $15/month.
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 Datadog is typically brought in for.
What can Amazon Aurora do that Datadog cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring.

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.

Source
Datadog: How is Datadog pricing structured?

Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.

Source
Amazon 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.

Source
Datadog: Does Datadog offer a free tier?

Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.

Source
Amazon 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.

Source
Datadog: What integrations does Datadog support?

Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.

Source
Amazon Aurora: Can Amazon Aurora scale automatically?

Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.

Source
Datadog: Can Datadog monitor Kubernetes clusters?

Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.

Source
Amazon 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
Datadog: How can I reduce Datadog costs?

Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.

Source

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