LaunchDarkly to ClickHouse Integration
AI-first ETL from LaunchDarkly into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads LaunchDarkly into ClickHouse
Datrise syncs LaunchDarkly's feature flags, environments, targeting rules, evaluations, segments, and flag changes 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
LaunchDarkly: Feature flag management and progressive rollouts.
ClickHouse: Columnar OLAP engine for fast aggregations.
How LaunchDarkly entities map to ClickHouse
| LaunchDarkly entity | ClickHouse object | Notes |
|---|---|---|
| feature flags | launchdarkly_feature_flags | id PK · custom fields → JSON or Map columns |
| environments | launchdarkly_environments | id PK · linked to launchdarkly_feature_flags |
| targeting rules | launchdarkly_targeting_rules | id PK · linked to launchdarkly_feature_flags |
| evaluations | launchdarkly_evaluations | id PK · linked to launchdarkly_feature_flags |
FAQ
How does Datrise handle LaunchDarkly'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 LaunchDarkly 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 LaunchDarkly
- LaunchDarkly → DuckDB
- LaunchDarkly → Amazon Athena
- LaunchDarkly → Amazon S3 Data Lake
- LaunchDarkly → Azure Data Lake Storage
- LaunchDarkly → Azure Synapse
- LaunchDarkly → Spreadsheets
- LaunchDarkly → Airtable
- LaunchDarkly → CSV Files
- LaunchDarkly → MongoDB
- LaunchDarkly → Supabase
- LaunchDarkly → Neon
- LaunchDarkly → PlanetScale
Early access
Connect LaunchDarkly to ClickHouse the easy way
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