Glassfrog to Microsoft SQL Server Integration
AI-first ETL from Glassfrog into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Glassfrog into Microsoft SQL Server
Datrise syncs Glassfrog's circles, roles, people, accountabilities, projects, and governance records 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
Glassfrog: Holacracy roles, circles, and governance records.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Glassfrog entities map to Microsoft SQL Server
| Glassfrog entity | Microsoft SQL Server object | Notes |
|---|---|---|
| circles | glassfrog_circles | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| roles | glassfrog_roles | id PK · linked to glassfrog_circles |
| people | glassfrog_people | id PK · linked to glassfrog_circles |
| accountabilities | glassfrog_accountabilities | id PK · linked to glassfrog_circles |
FAQ
How does Datrise handle Glassfrog'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 Glassfrog 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
More destinations for Glassfrog
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- Glassfrog → DuckDB
- Glassfrog → Amazon Athena
- Glassfrog → Amazon S3 Data Lake
- Glassfrog → Azure Data Lake Storage
- Glassfrog → Azure Synapse
- Glassfrog → Spreadsheets
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Early access
Connect Glassfrog to Microsoft SQL Server the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.