DatriseAI-first ETL

GitHub Amazon DynamoDB

AI-first ETL from GitHub into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads GitHub into Amazon DynamoDB

Datrise syncs GitHub's repositories, issues, pull requests, commits, and workflow runs into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

GitHub: Developer platform for repos, issues, and delivery workflows.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How GitHub entities map to Amazon DynamoDB

GitHub entityAmazon DynamoDB objectNotes
repositoriesgithub_repositoriesid PK · custom fields → nested map/list attributes
issuesgithub_issuesid PK · linked to github_repositories
pull requestsgithub_pull_requestsid PK · linked to github_repositories
commitsgithub_commitsid PK · linked to github_repositories

FAQ

How does Datrise handle GitHub's custom fields in Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the GitHub to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

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