Salesloft → ClickHouse
AI-first ETL from Salesloft into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into ClickHouse
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution 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
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Salesloft entities map to ClickHouse
| Salesloft entity | ClickHouse object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | DateTime64 events |
| conversation signals | salesloft_conversation_signals | id PK · linked to salesloft_cadence_activity |
| revenue workflow execution | salesloft_revenue_workflow_execution | id PK · linked to salesloft_cadence_activity |
FAQ
How does Datrise handle Salesloft'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 Salesloft 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.
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