Database & Data Management · head to head
Amazon Aurora vs Packer

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: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Packer packer 1.10.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Packer covers Image building.
Where they differ
Only the attributes on which Amazon Aurora and Packer actually diverge.
| Attribute | Amazon Aurora | Packer |
|---|---|---|
| Pricing model | usage-based | open-source |
| Platforms | AWS Cloud | Linux, Windows, Mac |
| Category | Database & Data Management | Cloud & Infrastructure |
| Founded | 2006 | 2013 |
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 Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
Only in Packer
- Image building
- Multi-platform support
- Provisioners
- Builders
- Post-processors
- Variables
- Data sources
- Validation
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Packer
- Data storagenot Packer
- Application backendnot Packer
- Reportingnot Packer
- Data analyticsnot Packer
Packer
- Building identical machine images for multiple clouds from one templatenot Amazon Aurora
- Baking golden AMIs and VM images into a CI pipelinenot Amazon Aurora
- Creating immutable infrastructure artifacts consumed by Terraformnot 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
Packer
- Packer 1.10.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
- The Additional Use Grant forbids offering Packer to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions of Packer
- Each version converts to the MPL 2.0 Change License only four years after that version is first published, and the Change Date is set separately per version
- Alternative licensing for uses outside the grant must be arranged with the licensor rather than taken under the public licence
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
Packer
Free- Open SourceFree
- Multi-platform image building
- Template-driven
- Provisioner 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.
Choose Packer if
- You need image building.
- You want to start without paying.
- You work on Linux, Windows, Mac.
- You also want multi-platform support.
Questions people ask
- Is Amazon Aurora or Packer better?
- Neither clearly leads. Amazon Aurora starts at Free and Packer at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Packer?
- Amazon Aurora starts at Free and Packer at Free.
- Does Amazon Aurora or Packer run on more platforms?
- Amazon Aurora runs on AWS Cloud. Packer runs on Linux, Windows, Mac.
- 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 Packer is typically brought in for.
- What can Amazon Aurora do that Packer cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Packer covers Image building, Multi-platform support, Provisioners, Builders.
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
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 Grafana Cloud
- Amazon Aurora vs Neon
- Amazon Aurora vs DigitalOcean
- Amazon Aurora vs AWS (Amazon Web Services)
- Amazon Aurora vs Lambda (AWS Serverless)
- Amazon Aurora vs Deno Deploy
- Amazon Aurora vs Heroku
- Amazon Aurora vs Hetzner Cloud
- Amazon Aurora vs Linode
- Amazon Aurora vs Pulumi
- Amazon Aurora vs Render
- Amazon Aurora vs Upstash
- Amazon Aurora vs Vagrant
- Amazon Aurora vs Vultr
- Amazon Aurora vs Akamai
- Amazon Aurora vs Alibaba Cloud
- Amazon Aurora vs Chef
- Amazon Aurora vs Contabo
- Packer vs Cockroach Labs
- Packer vs PostgreSQL
- Packer vs Airtable
- Packer vs Elasticsearch
- Packer vs PlanetScale
- Packer vs Azure SQL
- Packer vs ClickHouse
- Packer vs Couchbase
- Packer vs DuckDB
- Packer vs DynamoDB
- Packer vs MariaDB
- Packer vs Oracle Database
- Packer vs Amazon RDS
- Packer vs Amazon Redshift
- Packer vs Apache Druid
- Packer vs Cassandra
- Packer vs CouchDB
- Packer vs Firebolt
- Packer vs Grafana Cloud
- Packer vs Neon
- Packer vs DigitalOcean
- Packer vs AWS (Amazon Web Services)
- Packer vs Lambda (AWS Serverless)
- Packer vs Deno Deploy
- Packer vs Heroku
- Packer vs Hetzner Cloud
- Packer vs Linode
- Packer vs Pulumi
- Packer vs Render
- Packer vs Upstash
- Packer vs Vagrant
- Packer vs Vultr
- Packer vs Akamai
- Packer vs Alibaba Cloud
- Packer vs Chef
- Packer vs Contabo
