Apache Spark to Oracle Database Integration
AI-first ETL from Apache Spark into Oracle Database. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Oracle Database
Datrise syncs Apache Spark's jobs, stages, tasks, executors, SQL queries, and application metrics into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.
Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.
Endpoints
Apache Spark: Distributed engine for large-scale data processing.
Oracle Database: Enterprise RDBMS with advanced partitioning and HA.
How Apache Spark entities map to Oracle Database
| Apache Spark entity | Oracle Database object | Notes |
|---|---|---|
| jobs | apache_spark_jobs | id PK · custom fields → JSON or CLOB 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 Oracle Database?
Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.
How does the Apache Spark to Oracle Database sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.
Related pipelines
More destinations for Apache Spark
- Apache Spark → Snowflake
- Apache Spark → Google BigQuery
- Apache Spark → Amazon Redshift
- Apache Spark → Databricks SQL Warehouse
- Apache Spark → ClickHouse
- Apache Spark → DuckDB
- Apache Spark → Amazon Athena
- Apache Spark → Amazon S3 Data Lake
- Apache Spark → Azure Data Lake Storage
- Apache Spark → Azure Synapse
- Apache Spark → Spreadsheets
- Apache Spark → Airtable
More sources for Oracle Database
- Apify → Oracle Database
- Appfollow → Oracle Database
- Apple Search Ads → Oracle Database
- Ashby → Oracle Database
- Autopilot → Oracle Database
- AWS CloudTrail → Oracle Database
- Azure Table Storage → Oracle Database
- Azure Blob Storage → Oracle Database
- Babelforce → Oracle Database
- BigCommerce → Oracle Database
- Google BigQuery → Oracle Database
- Branch → Oracle Database
Early access
Connect Apache Spark to Oracle Database the easy way
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