Sap Fieldglass → ClickHouse
AI-first ETL from Sap Fieldglass into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sap Fieldglass into ClickHouse
Datrise syncs Sap Fieldglass's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Sap Fieldglass: SaaS or API data source for analytics and warehouse sync.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Sap Fieldglass entities map to ClickHouse
| Sap Fieldglass entity | ClickHouse object | Notes |
|---|---|---|
| records | sap_fieldglass_records | id PK · custom fields → JSON or Map columns |
| events | sap_fieldglass_events | DateTime64 events |
| configuration objects | sap_fieldglass_configuration_objects | id PK · linked to sap_fieldglass_records |
FAQ
How does Datrise handle Sap Fieldglass's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Sap Fieldglass to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
Related pipelines
More destinations for Sap Fieldglass
- Sap Fieldglass → DuckDB
- Sap Fieldglass → Amazon Athena
- Sap Fieldglass → Amazon S3 Data Lake
- Sap Fieldglass → Azure Data Lake Storage
- Sap Fieldglass → Azure Synapse
- Sap Fieldglass → Spreadsheets
- Sap Fieldglass → Airtable
- Sap Fieldglass → CSV Files
- Sap Fieldglass → MongoDB
- Sap Fieldglass → Supabase
- Sap Fieldglass → Neon
- Sap Fieldglass → PlanetScale
Early access
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