DatriseAI-first ETL

Toggl to Azure Synapse Integration

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

How Datrise loads Toggl into Azure Synapse

Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users 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

Toggl: Time tracking with projects, clients, and reports.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Toggl entities map to Azure Synapse

Toggl entityAzure Synapse objectNotes
time entriestoggl_time_entriesid PK · custom fields → NVARCHAR(MAX) JSON columns
projectstoggl_projectsid PK · linked to toggl_time_entries
clientstoggl_clientsid PK · linked to toggl_time_entries
workspacestoggl_workspacesid PK · linked to toggl_time_entries

FAQ

How does Datrise handle Toggl'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 Toggl 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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