DatriseAI-first ETL

Unleash to Amazon DynamoDB Integration

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

How Datrise loads Unleash into Amazon DynamoDB

Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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

Unleash: Open-source feature flags and rollout strategies.

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

How Unleash entities map to Amazon DynamoDB

Unleash entityAmazon DynamoDB objectNotes
feature togglesunleash_feature_togglesid PK · custom fields → nested map/list attributes
strategiesunleash_strategiesid PK · linked to unleash_feature_toggles
environmentsunleash_environmentsid PK · linked to unleash_feature_toggles
projectsunleash_projectsid PK · linked to unleash_feature_toggles

FAQ

How does Datrise handle Unleash'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 Unleash 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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