DatriseAI-first ETL

Firebase Realtime Database to Microsoft SQL Server Integration

AI-first ETL from Firebase Realtime Database into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Firebase Realtime Database into Microsoft SQL Server

Datrise syncs Firebase Realtime Database's nodes, child paths, JSON values, write events, references, and security rules into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Firebase Realtime Database: JSON tree database with realtime synchronization.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Firebase Realtime Database entities map to Microsoft SQL Server

Firebase Realtime Database entityMicrosoft SQL Server objectNotes
nodesfirebase_realtime_database_nodesid PK · custom fields → NVARCHAR(MAX) JSON columns
child pathsfirebase_realtime_database_child_pathsid PK · linked to firebase_realtime_database_nodes
JSON valuesfirebase_realtime_database_json_valuesid PK · linked to firebase_realtime_database_nodes
write eventsfirebase_realtime_database_write_eventsdatetime2 events

FAQ

How does Datrise handle Firebase Realtime Database's custom fields in Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the Firebase Realtime Database to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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