Dremio to Azure Synapse Integration

How Datrise loads Dremio into Azure Synapse

Datrise syncs Dremio's datasets, tables, reflections, query jobs, sources, and table schemas 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

Dremio: Lakehouse query engine over open table formats.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Dremio entities map to Azure Synapse

Dremio entity	Azure Synapse object	Notes
datasets	`dremio_datasets`	id PK · custom fields → NVARCHAR(MAX) JSON columns
tables	`dremio_tables`	id PK · linked to dremio_datasets
reflections	`dremio_reflections`	id PK · linked to dremio_datasets
query jobs	`dremio_query_jobs`	id PK · linked to dremio_datasets

FAQ

How does Datrise handle Dremio'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 Dremio 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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