Apache Spark to Birst Integration
AI-first ETL from Apache Spark into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Birst
Datrise syncs Apache Spark's jobs, stages, tasks, executors, SQL queries, and application metrics into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Apache Spark: Distributed engine for large-scale data processing.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Apache Spark entities map to Birst
| Apache Spark entity | Birst object | Notes |
|---|---|---|
| jobs | apache_spark_jobs | id PK · custom fields → flattened columns |
| 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Apache Spark to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Apache Spark
- Apache Spark → GoodData
- Apache Spark → Klipfolio
- Apache Spark → MicroStrategy
- Apache Spark → Spotfire
- Apache Spark → Yellowfin
- Apache Spark → PostgreSQL
- Apache Spark → MySQL
- Apache Spark → Microsoft SQL Server
- Apache Spark → Oracle Database
- Apache Spark → Snowflake
- Apache Spark → Google BigQuery
- Apache Spark → Amazon Redshift
Early access
Connect Apache Spark to Birst 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.