LaunchDarkly to Azure Synapse Integration
AI-first ETL from LaunchDarkly into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads LaunchDarkly into Azure Synapse
Datrise syncs LaunchDarkly's feature flags, environments, targeting rules, evaluations, segments, and flag changes into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
LaunchDarkly: Feature flag management and progressive rollouts.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How LaunchDarkly entities map to Azure Synapse
| LaunchDarkly entity | Azure Synapse object | Notes |
|---|---|---|
| feature flags | launchdarkly_feature_flags | id PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the LaunchDarkly to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
Related pipelines
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