Apache Spark → Neon
AI-first ETL from Apache Spark into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Neon
Datrise syncs Apache Spark's records, events, and configuration objects into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Apache Spark: SaaS or API data source for analytics and warehouse sync.
Neon: Serverless Postgres destination with branching and autoscaling.
How Apache Spark entities map to Neon
| Apache Spark entity | Neon object | Notes |
|---|---|---|
| records | apache_spark_records | id PK · custom fields → jsonb columns |
| events | apache_spark_events | timestamptz 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Apache Spark to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Apache Spark
- 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
- Apache Spark → Metabase
- Apache Spark → Amazon QuickSight
- Apache Spark → Domo
- Apache Spark → Sisense
- Apache Spark → ThoughtSpot
Early access
Connect Apache Spark to Neon 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.