Parquet File to Microsoft SQL Server Integration
AI-first ETL from Parquet File into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Parquet File into Microsoft SQL Server
Datrise syncs Parquet File's row groups, columns, schemas, partitions, file batches, and column statistics 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
Parquet File: Columnar Parquet files from lakes and exports.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Parquet File entities map to Microsoft SQL Server
| Parquet File entity | Microsoft SQL Server object | Notes |
|---|---|---|
| row groups | parquet_file_row_groups | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| columns | parquet_file_columns | id PK · linked to parquet_file_row_groups |
| schemas | parquet_file_schemas | id PK · linked to parquet_file_row_groups |
| partitions | parquet_file_partitions | id PK · linked to parquet_file_row_groups |
FAQ
How does Datrise handle Parquet File'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 Parquet File 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 Parquet File
- Parquet File → Oracle Database
- Parquet File → Snowflake
- Parquet File → Google BigQuery
- Parquet File → Amazon Redshift
- Parquet File → Databricks SQL Warehouse
- Parquet File → ClickHouse
- Parquet File → DuckDB
- Parquet File → Amazon Athena
- Parquet File → Amazon S3 Data Lake
- Parquet File → Azure Data Lake Storage
- Parquet File → Azure Synapse
- Parquet File → Spreadsheets
More sources for Microsoft SQL Server
- Particle → Microsoft SQL Server
- Partnerstack → Microsoft SQL Server
- PayPal Transactions → Microsoft SQL Server
- Paystack → Microsoft SQL Server
- Pepperjam → Microsoft SQL Server
- Persistiq → Microsoft SQL Server
- Pinterest Ads → Microsoft SQL Server
- Pivotal Tracker → Microsoft SQL Server
- Plaid → Microsoft SQL Server
- Platform Purple → Microsoft SQL Server
- Plausible → Microsoft SQL Server
- Polygon Stock API → Microsoft SQL Server
Early access
Connect Parquet File 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.