CleverTap to Mode Integration
AI-first ETL from CleverTap into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads CleverTap into Mode
Datrise syncs CleverTap's users, events, campaigns, segments, journeys, and push deliveries into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
CleverTap: Mobile analytics and lifecycle engagement.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How CleverTap entities map to Mode
| CleverTap entity | Mode object | Notes |
|---|---|---|
| users | clevertap_users | id PK · custom fields → flattened columns for SQL and notebooks |
| events | clevertap_events | temporal columns events |
| campaigns | clevertap_campaigns | id PK · linked to clevertap_users |
| segments | clevertap_segments | id PK · linked to clevertap_users |
FAQ
How does Datrise handle CleverTap's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the CleverTap to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for CleverTap
Early access
Connect CleverTap to Mode 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.