DatriseAI-first ETL

Unleash to Azure Synapse Integration

AI-first ETL from Unleash into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Unleash into Azure Synapse

Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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

Unleash: Open-source feature flags and rollout strategies.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Unleash entities map to Azure Synapse

Unleash entityAzure Synapse objectNotes
feature togglesunleash_feature_togglesid PK · custom fields → NVARCHAR(MAX) JSON columns
strategiesunleash_strategiesid PK · linked to unleash_feature_toggles
environmentsunleash_environmentsid PK · linked to unleash_feature_toggles
projectsunleash_projectsid PK · linked to unleash_feature_toggles

FAQ

How does Datrise handle Unleash'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 Unleash 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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