How to integrate Snowflake in Microsoft Azure Synapse Analytics (formerly Azure SQL Data Warehouse)

Learn how to integrate Snowflake and Microsoft Azure Synapse Analytics (formerly Azure SQL Data Warehouse) and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Snowflake data into Microsoft Azure Synapse Analytics (formerly Azure SQL Data Warehouse) and analyze it with your BI Tool.
How to integrate Snowflake in Microsoft Azure Synapse Analytics (formerly Azure SQL Data Warehouse) with Pipes


About Snowflake

Snowflake is a high performing cloud data warehouse. It can either be used to store your data in it or / and to use it as a data source.

About Microsoft Azure Synapse Analytics (formerly Azure SQL Data Warehouse)

Microsoft Azure is a leading cloud computing infrastructure and platform created by Microsoft for building, managing, and deploying services and applications through Microsoft-managed global data centers. Azure Synapse is an analytics service bringing together enterprise data warehousing and Big Data analytics. Synapse offers a unified experience to ingest, prepare, manage and serve data for immediate BI and machine learning needs.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Snowflake, Microsoft Azure Synapse Analytics (formerly Azure SQL Data Warehouse) and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.