FullStory → Microsoft SQL Server
AI-first ETL from FullStory into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads FullStory into Microsoft SQL Server
Datrise syncs FullStory's sessions, events, funnels, frustration signals, and user properties 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
FullStory: Digital experience analytics with session replay context.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How FullStory entities map to Microsoft SQL Server
| FullStory entity | Microsoft SQL Server object | Notes |
|---|---|---|
| sessions | fullstory_sessions | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| events | fullstory_events | datetime2 events |
| funnels | fullstory_funnels | id PK · linked to fullstory_sessions |
| frustration signals | fullstory_frustration_signals | id PK · linked to fullstory_sessions |
FAQ
How does Datrise handle FullStory'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 FullStory 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 FullStory
- FullStory → Oracle Database
- FullStory → Snowflake
- FullStory → Google BigQuery
- FullStory → Amazon Redshift
- FullStory → Databricks SQL Warehouse
- FullStory → ClickHouse
- FullStory → DuckDB
- FullStory → Amazon Athena
- FullStory → Amazon S3 Data Lake
- FullStory → Azure Data Lake Storage
- FullStory → Azure Synapse
- FullStory → Spreadsheets
More sources for Microsoft SQL Server
- GitHub → Microsoft SQL Server
- GitLab → Microsoft SQL Server
- Google Drive → Microsoft SQL Server
- Google Search Console → Microsoft SQL Server
- Harvest → Microsoft SQL Server
- Iterable → Microsoft SQL Server
- Klaviyo → Microsoft SQL Server
- Adobe Commerce (Magento) → Microsoft SQL Server
- Mixpanel → Microsoft SQL Server
- NetSuite → Microsoft SQL Server
- Pardot → Microsoft SQL Server
- Pendo → Microsoft SQL Server
Early access
Connect FullStory to Microsoft SQL Server the easy way
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