Aha to ClickHouse Integration

How Datrise loads Aha into ClickHouse

Datrise syncs Aha's features, releases, initiatives, ideas, goals, and epics 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

Aha: Product roadmapping and release planning.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Aha entities map to ClickHouse

Aha entity	ClickHouse object	Notes
features	`aha_features`	id PK · custom fields → JSON or Map columns
releases	`aha_releases`	id PK · linked to aha_features
initiatives	`aha_initiatives`	id PK · linked to aha_features
ideas	`aha_ideas`	id PK · linked to aha_features

FAQ

How does Datrise handle Aha'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 Aha 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

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