Apache Spark to Apache Superset Integration
AI-first ETL from Apache Spark into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Apache Superset
Datrise syncs Apache Spark's jobs, stages, tasks, executors, SQL queries, and application metrics into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Apache Spark: Distributed engine for large-scale data processing.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Apache Spark entities map to Apache Superset
| Apache Spark entity | Apache Superset object | Notes |
|---|---|---|
| jobs | apache_spark_jobs | id PK · custom fields → flattened columns for the explore UI |
| 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 Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Apache Spark to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Apache Spark
More sources for Apache Superset
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- Apple Search Ads → Apache Superset
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- Autopilot → Apache Superset
- AWS CloudTrail → Apache Superset
- Azure Table Storage → Apache Superset
- Azure Blob Storage → Apache Superset
- Babelforce → Apache Superset
- BigCommerce → Apache Superset
- Google BigQuery → Apache Superset
- Branch → Apache Superset
Early access
Connect Apache Spark to Apache Superset 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.