Apache Spark to Amazon DynamoDB Integration
AI-first ETL from Apache Spark into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Amazon DynamoDB
Datrise syncs Apache Spark's jobs, stages, tasks, executors, SQL queries, and application metrics 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
Apache Spark: Distributed engine for large-scale data processing.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Apache Spark entities map to Amazon DynamoDB
| Apache Spark entity | Amazon DynamoDB object | Notes |
|---|---|---|
| jobs | apache_spark_jobs | id PK · custom fields → nested map/list attributes |
| stages | apache_spark_stages | id PK · linked to apache_spark_jobs |
| tasks | apache_spark_tasks | id PK · linked to apache_spark_jobs |
| executors | apache_spark_executors | id PK · linked to apache_spark_jobs |
FAQ
How does Datrise handle Apache Spark'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 Apache Spark 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
More destinations for Apache Spark
More sources for Amazon DynamoDB
- Apify → Amazon DynamoDB
- Appfollow → Amazon DynamoDB
- Apple Search Ads → Amazon DynamoDB
- Ashby → Amazon DynamoDB
- Autopilot → Amazon DynamoDB
- AWS CloudTrail → Amazon DynamoDB
- Azure Table Storage → Amazon DynamoDB
- Azure Blob Storage → Amazon DynamoDB
- Babelforce → Amazon DynamoDB
- BigCommerce → Amazon DynamoDB
- Google BigQuery → Amazon DynamoDB
- Branch → Amazon DynamoDB
Early access
Connect Apache Spark to Amazon DynamoDB the easy way
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