DatriseAI-first ETL

MoEngage Amazon DynamoDB

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

How Datrise loads MoEngage into Amazon DynamoDB

Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals 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

MoEngage: Customer engagement source for campaigns and retention metrics.

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

How MoEngage entities map to Amazon DynamoDB

MoEngage entityAmazon DynamoDB objectNotes
engagement eventsmoengage_engagement_eventsISO-8601 string or epoch number attributes events
campaign performancemoengage_campaign_performanceid PK · linked to moengage_engagement_events
retention behavior signalsmoengage_retention_behavior_signalsid PK · linked to moengage_engagement_events

FAQ

How does Datrise handle MoEngage'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 MoEngage 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

Early access

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