Simplify your Azure SQL Data Warehouse migration
When it comes to replicating your data to Azure SQL Data Warehouse, conventional ETL isn’t the only game in town.
Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.
This is where Stitch can help.
The agile ETL alternative
Stitch delivers a lean alternative to conventional ETL that helps you pipe your data directly into Azure SQL Data Warehouse.
You can transform your data in many ways once it’s in your data warehouse, so we modify it only to the point that it’s compatible with Azure SQL Data Warehouse. You can define transformations in SQL and run them in the data warehouse at query time or as needed.
Fastest path to Azure SQL Data Warehouse
You already have data stored in individual silos on SaaS platforms and internal databases. Now it’s time to extract its maximum value and deliver actionable BI to your team. Azure SQL Data Warehouse provides a repository against which you can run analytics, and Stitch provides the fastest path to Azure SQL Data Warehouse.
Stitch lets you extract data from more than 90 sources and replicate it to Azure SQL Data Warehouse. Our approach is simple, straightforward, and ready to go right out of the box. No need to wait — get your data to Azure SQL Data Warehouse today.