Amazon DynamoDB to Sisense Integration
AI-first ETL from Amazon DynamoDB into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon DynamoDB into Sisense
Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Amazon DynamoDB: Serverless key-value and document store on AWS.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Amazon DynamoDB entities map to Sisense
| Amazon DynamoDB entity | Sisense object | Notes |
|---|---|---|
| tables | source_dynamodb_tables | id PK · custom fields → flattened columns for the cube |
| items | source_dynamodb_items | id PK · linked to source_dynamodb_tables |
| partition keys | source_dynamodb_partition_keys | id PK · linked to source_dynamodb_tables |
| sort keys | source_dynamodb_sort_keys | id PK · linked to source_dynamodb_tables |
FAQ
How does Datrise handle Amazon DynamoDB's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Amazon DynamoDB to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for Amazon DynamoDB
- Amazon DynamoDB → ThoughtSpot
- Amazon DynamoDB → Qlik
- Amazon DynamoDB → Mode
- Amazon DynamoDB → Redash
- Amazon DynamoDB → Chartio
- Amazon DynamoDB → Holistics
- Amazon DynamoDB → Birst
- Amazon DynamoDB → GoodData
- Amazon DynamoDB → Klipfolio
- Amazon DynamoDB → MicroStrategy
- Amazon DynamoDB → Spotfire
- Amazon DynamoDB → Yellowfin
Early access
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