Log Management · head to head
Airbrake vs Amazon Aurora

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: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services
- They diverge on capability: Airbrake covers Error tracking, Amazon Aurora covers MySQL/PostgreSQL Compatible.
Where they differ
Only the attributes on which Airbrake and Amazon Aurora actually diverge.
| Attribute | Airbrake | Amazon Aurora |
|---|---|---|
| Platforms | Web, Api | AWS Cloud |
| Category | Log Management | Database & Data Management |
| Founded | 2008 | 2006 |
Identical on both: starting price (Free), pricing model (usage-based), 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 Airbrake
- Error tracking
- Performance monitoring
- Deploy tracking
- Custom notifications
- API
- Webhooks
- REST
- Api support
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
What people use each for
The jobs each tool is most often brought in to do.
Airbrake
- Error and exception monitoring for web applicationsnot Amazon Aurora
- Performance monitoring alongside error trackingnot Amazon Aurora
- Alerting a team when a deploy introduces a spike in errorsnot Amazon Aurora
- Tracking errors across multiple projects in one accountnot Amazon Aurora
Amazon Aurora
- Transaction processingnot Airbrake
- Data storagenot Airbrake
- Application backendnot Airbrake
- Reportingnot Airbrake
- Data analyticsnot Airbrake
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Airbrake
- Data retention is 30 days on every plan, including the $799 a month Business tier
- The entry plan at $19 a month covers 25,000 errors and 7,500 events
- Errors beyond the plan quota are billed on demand
- Audit logs and spike forgiveness require the Pro tier
- The lowest tier is limited to 1 user and 1 team
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
Airbrake
Free- FreeFree
- Error tracking
- Performance monitoring
- Deploy tracking
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 Airbrake if
- You need error tracking.
- You want to start without paying.
- You work on Web, Api.
- You also want performance monitoring.
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 Airbrake or Amazon Aurora better?
- Neither clearly leads. Airbrake 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, Airbrake or Amazon Aurora?
- Airbrake starts at Free and Amazon Aurora at Free.
- Does Airbrake or Amazon Aurora run on more platforms?
- Airbrake runs on Web, Api. Amazon Aurora runs on AWS Cloud.
- Can I use Airbrake for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Airbrake best used for?
- Airbrake is most often used for error and exception monitoring for web applications, performance monitoring alongside error tracking, alerting a team when a deploy introduces a spike in errors, tracking errors across multiple projects in one account. Of those, error and exception monitoring for web applications and performance monitoring alongside error tracking are not what Amazon Aurora is typically brought in for.
- What can Airbrake do that Amazon Aurora cannot?
- Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. 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
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- Airbrake vs Datadog Logs
- Airbrake vs Coralogix
- Airbrake vs Grafana Loki
- Airbrake vs CloudWatch
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- Airbrake vs PlanetScale
- Airbrake vs Azure SQL
- Airbrake vs ClickHouse
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- Airbrake vs DuckDB
- Airbrake vs DynamoDB
- Airbrake vs MariaDB
- Airbrake vs Oracle Database
- Airbrake vs Amazon RDS
- Airbrake vs Amazon Redshift
- Airbrake vs Apache Druid
- Airbrake vs Cassandra
- Airbrake vs CouchDB
- Airbrake vs Firebolt
- Amazon Aurora vs Elastic Stack
- Amazon Aurora vs New Relic
- Amazon Aurora vs Datadog Logs
- Amazon Aurora vs Coralogix
- Amazon Aurora vs Grafana Loki
- Amazon Aurora vs CloudWatch
- Amazon Aurora vs Dynatrace
- Amazon Aurora vs InfluxDB
- Amazon Aurora vs AppDynamics
- Amazon Aurora vs Axiom
- Amazon Aurora vs Azure Monitor
- Amazon Aurora vs Better Stack
- Amazon Aurora vs Bugsnag
- Amazon Aurora vs Dynatrace Logs
- Amazon Aurora vs Elastic
- Amazon Aurora vs Elastic APM
- Amazon Aurora vs Elasticsearch Service
- Amazon Aurora vs ELK Stack
- 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

