DatriseAI-first ETL

Google Cloud Storage to Azure Synapse Integration

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

How Datrise loads Google Cloud Storage into Azure Synapse

Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes 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

Google Cloud Storage: Object storage for files and data lake exports on GCP.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Google Cloud Storage entities map to Azure Synapse

Google Cloud Storage entityAzure Synapse objectNotes
bucketsgoogle_cloud_storage_f_bucketsid PK · custom fields → NVARCHAR(MAX) JSON columns
objectsgoogle_cloud_storage_f_objectsid PK · linked to google_cloud_storage_f_buckets
prefixesgoogle_cloud_storage_f_prefixesid PK · linked to google_cloud_storage_f_buckets
object metadatagoogle_cloud_storage_f_object_metadataid PK · linked to google_cloud_storage_f_buckets

FAQ

How does Datrise handle Google Cloud Storage'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 Google Cloud Storage 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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