Maximizer CRM → ClickHouse
AI-first ETL from Maximizer CRM into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Maximizer CRM into ClickHouse
Datrise syncs Maximizer CRM's contacts, accounts, deals, activities, and lifecycle events 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
Maximizer CRM: CRM for SMB teams managing pipeline, contacts, and customer activity.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Maximizer CRM entities map to ClickHouse
| Maximizer CRM entity | ClickHouse object | Notes |
|---|---|---|
| contacts | maximizer_contacts | id PK · custom fields → JSON or Map columns |
| accounts | maximizer_accounts | id PK · linked to maximizer_contacts |
| deals | maximizer_deals | id PK · linked to maximizer_contacts |
| activities | maximizer_activities | DateTime64 events |
FAQ
How does Datrise handle Maximizer CRM'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 Maximizer CRM 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 Maximizer CRM
- Maximizer CRM → DuckDB
- Maximizer CRM → Amazon Athena
- Maximizer CRM → Amazon S3 Data Lake
- Maximizer CRM → Azure Data Lake Storage
- Maximizer CRM → Azure Synapse
- Maximizer CRM → Spreadsheets
- Maximizer CRM → Airtable
- Maximizer CRM → CSV Files
- Maximizer CRM → MongoDB
- Maximizer CRM → Supabase
- Maximizer CRM → Neon
- Maximizer CRM → PlanetScale
Early access
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