SparkPost to Apache Superset Integration
AI-first ETL from SparkPost into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads SparkPost into Apache Superset
Datrise syncs SparkPost's messages, transmissions, delivery events, bounces, suppressions, and sending domains 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
SparkPost: Transactional email delivery and deliverability metrics.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How SparkPost entities map to Apache Superset
| SparkPost entity | Apache Superset object | Notes |
|---|---|---|
| messages | sparkpost_messages | id PK · custom fields → flattened columns for the explore UI |
| transmissions | sparkpost_transmissions | id PK · linked to sparkpost_messages |
| delivery events | sparkpost_delivery_events | temporal columns for time-series charts events |
| bounces | sparkpost_bounces | id PK · linked to sparkpost_messages |
FAQ
How does Datrise handle SparkPost'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 SparkPost to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
Connect SparkPost 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.