graphql-ttl-transformer
Enable DynamoDB's TTL feature for auto-deleting old entries in AWS Amplify API.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is graphql-ttl-transformer?
The graphql-ttl-transformer is an open-source tool that enables developers to leverage DynamoDB's Time-To-Live (TTL) feature within their GraphQL APIs built with AWS Amplify. This allows automatic deletion of outdated data, streamlining database management and improving performance.
Key differentiator
“The graphql-ttl-transformer uniquely integrates with AWS Amplify to enable automatic deletion of outdated entries in DynamoDB, streamlining database maintenance and enhancing performance for time-sensitive applications.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The tool is relatively new with few contributors and limited documentation.
Setting up the transformer requires a deep understanding of both GraphQL and DynamoDB configurations, leading to potential integration issues.
The tool may introduce additional latency due to the need for transforming data between GraphQL and DynamoDB formats, especially with large volumes of data.
The transformer is tightly coupled with AWS services, making it difficult to migrate or use with other cloud providers or database systems.
Fit analysis
Who is it for?
✓ Best for
Teams working with AWS Amplify who need to manage time-sensitive data efficiently
Projects requiring automatic deletion of outdated records in DynamoDB
Developers looking to improve performance by removing unnecessary data entries
✕ Not a fit for
Applications that do not use AWS Amplify or DynamoDB
Scenarios where manual management of data expiration is preferred over automated solutions
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with graphql-ttl-transformer
Step-by-step setup guide with code examples and common gotchas.