Apache Spark → Spreadsheets
AI-first ETL from Apache Spark into Spreadsheets. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Spreadsheets
Datrise syncs Apache Spark's records, events, and configuration objects into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.
Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.
Ideal for lightweight, shareable reporting for non-technical teams.
Endpoints
Apache Spark: SaaS or API data source for analytics and warehouse sync.
Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.
How Apache Spark entities map to Spreadsheets
| Apache Spark entity | Spreadsheets object | Notes |
|---|---|---|
| records | apache_spark_records | id PK · custom fields → JSON-stringified cells for nested fields |
| events | apache_spark_events | ISO-8601 text or serial date cells events |
| configuration objects | apache_spark_configuration_objects | id PK · linked to apache_spark_records |
FAQ
How does Datrise handle Apache Spark's custom fields in Spreadsheets?
Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.
How does the Apache Spark to Spreadsheets sync stay up to date?
It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.
Related pipelines
More destinations for Apache Spark
- Apache Spark → Airtable
- Apache Spark → CSV Files
- Apache Spark → MongoDB
- Apache Spark → Supabase
- Apache Spark → Neon
- Apache Spark → PlanetScale
- Apache Spark → Amazon DynamoDB
- Apache Spark → Looker
- Apache Spark → Looker Studio
- Apache Spark → Microsoft Power BI
- Apache Spark → Tableau
- Apache Spark → Apache Superset
More sources for Spreadsheets
- Apify → Spreadsheets
- Appfollow → Spreadsheets
- Apple Search Ads → Spreadsheets
- Ashby → Spreadsheets
- Autopilot → Spreadsheets
- Autopilot Activities → Spreadsheets
- Aws Cloudtrail → Spreadsheets
- Azure Table Storage → Spreadsheets
- Azureblobstorage → Spreadsheets
- Babelforce → Spreadsheets
- Bigcommerce → Spreadsheets
- Bigquery → Spreadsheets
Early access
Connect Apache Spark to Spreadsheets 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.