DatriseAI-first ETL

Metabase to Amazon DynamoDB Integration

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

How Datrise loads Metabase into Amazon DynamoDB

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions 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

Metabase: Self-service BI over existing databases.

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

How Metabase entities map to Amazon DynamoDB

Metabase entityAmazon DynamoDB objectNotes
questionsmetabase_questionsid PK · custom fields → nested map/list attributes
dashboardsmetabase_dashboardsid PK · linked to metabase_questions
collectionsmetabase_collectionsid PK · linked to metabase_questions
cardsmetabase_cardsid PK · linked to metabase_questions

FAQ

How does Datrise handle Metabase'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 Metabase 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

Connect Metabase to Amazon DynamoDB the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.