DatriseAI-first ETL

Firebase to Azure Synapse Integration

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

How Datrise loads Firebase into Azure Synapse

Datrise syncs Firebase's users, collections, documents, auth events, app events, and security rules 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

Firebase: App backend with auth, storage, and analytics.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Firebase entities map to Azure Synapse

Firebase entityAzure Synapse objectNotes
usersfirebase_usersid PK · custom fields → NVARCHAR(MAX) JSON columns
collectionsfirebase_collectionsid PK · linked to firebase_users
documentsfirebase_documentsid PK · linked to firebase_users
auth eventsfirebase_auth_eventsdatetime2 events

FAQ

How does Datrise handle Firebase'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 Firebase 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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