DatriseAI-first ETL

Firebase Realtime Database Azure Synapse

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

How Datrise loads Firebase Realtime Database into Azure Synapse

Datrise syncs Firebase Realtime Database's records, events, and configuration objects 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 Realtime Database: SaaS or API data source for analytics and warehouse sync.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Firebase Realtime Database entities map to Azure Synapse

Firebase Realtime Database entityAzure Synapse objectNotes
recordsfirebase_realtime_database_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsfirebase_realtime_database_eventsdatetime2 events
configuration objectsfirebase_realtime_database_configuration_objectsid PK · linked to firebase_realtime_database_records

FAQ

How does Datrise handle Firebase Realtime Database'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 Realtime Database to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

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