Cloud · head to head
Packer vs Serverless Framework

Serverless Framework
Cloud
Build and deploy serverless applications on AWS Lambda
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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; Serverless Framework exclusive to AWS Lambda - no support for other cloud providers
- They diverge on capability: Packer covers Image building, Serverless Framework covers YAML configuration.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Packer and Serverless Framework actually diverge.
| Attribute | Packer | Serverless Framework |
|---|---|---|
| Pricing model | open-source | Unknown |
| Platforms | Linux, Windows, Mac | AWS Lambda, AWS API Gateway, AWS CloudFormation |
| Founded | 2013 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
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 Packer
- Image building
- Multi-platform support
- Provisioners
- Builders
- Post-processors
- Variables
- Data sources
- Validation
Only in Serverless Framework
- YAML configuration
- Single command deployment
- Extensible plugin ecosystem
- Multi-language support
- Unified dashboard
- Built-in metrics and alerts
What people use each for
The jobs each tool is most often brought in to do.
Packer
- Building identical machine images for multiple clouds from one templatenot Serverless Framework
- Baking golden AMIs and VM images into a CI pipelinenot Serverless Framework
- Creating immutable infrastructure artifacts consumed by Terraformnot Serverless Framework
Serverless Framework
- Deploying APIs and microservices to AWS Lambdanot Packer
- Building event-driven applications with serverless functionsnot Packer
- Managing multi-language serverless projectsnot Packer
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Serverless Framework
- Exclusive to AWS Lambda - no support for other cloud providers
- Paid tier requires credit system that can be confusing for budgeting
- Plugin ecosystem quality varies significantly
Pricing, plan by plan
Packer
Free- Open SourceFree
- Multi-platform image building
- Template-driven
- Provisioner support
Serverless Framework
Free- FreeFree
- For organizations with under $2M annual revenue
- All Framework features included
- Pay-As-You-Go$4/credit
- 1 credit = 1 Service Instance or 50K Traces or 4M Metrics
- Standard rate for larger organizations
- Reserved Credits$1/credit
- Discounts up to 74% off (1-year), 77% off (2-year), 80% off (3-year)
- Additional 10% off for upfront payment
Which should you pick?
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.
Choose Serverless Framework if
- You need yaml configuration.
- You want to start without paying.
- You work on AWS Lambda, AWS API Gateway, AWS CloudFormation.
- You also want single command deployment.
Questions people ask
- Is Packer or Serverless Framework better?
- Neither clearly leads. Packer starts at Free and Serverless Framework at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Packer or Serverless Framework?
- Packer starts at Free and Serverless Framework at Free.
- Does Packer or Serverless Framework run on more platforms?
- Packer runs on Linux, Windows, Mac. Serverless Framework runs on AWS Lambda, AWS API Gateway, AWS CloudFormation.
- Can I use Packer for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Packer best used for?
- Packer is most often used for building identical machine images for multiple clouds from one template, baking golden amis and vm images into a ci pipeline, creating immutable infrastructure artifacts consumed by terraform. Of those, building identical machine images for multiple clouds from one template and baking golden amis and vm images into a ci pipeline are not what Serverless Framework is typically brought in for.
- What can Packer do that Serverless Framework cannot?
- Packer covers Image building, Multi-platform support, Provisioners, Builders. Serverless Framework covers YAML configuration, Single command deployment, Extensible plugin ecosystem, Multi-language support.
Answered from the vendors’ own pages
Packer: How much does HashiCorp Packer cost?
Packer does not publish specific pricing on its website. The open-source Packer tool is free, while HCP Packer (HashiCorp's cloud-hosted version) offers a free trial, but detailed pricing requires contacting HashiCorp.
SourceServerless Framework: When do I have to pay for Serverless Framework?
The Serverless Framework CLI v4+ is free for organizations earning under $2 million annually. Organizations earning more must purchase credits at $4 per credit standard rate or reserved credits starting at $1 per credit with volume discounts.
SourceServerless Framework: What cloud providers does Serverless Framework support?
Serverless Framework is exclusive to AWS Lambda. It does not support other cloud providers like Azure or Google Cloud.
SourceServerless Framework: What does one credit cover?
One credit equals 1 Service Instance, 50,000 Traces, or 4 Million Metrics.
SourceRelated pages
More on Serverless Framework
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