Or Hasson
SEP 18, 2019
icon
5 min read
Don’t miss a thing!
You can unsubscribe anytime

It’s a big week for Rivery as we announce a significant addition to our list of database integrations.

From today, customers using Azure SQL Data Warehouse will be able to connect and load all their data with Rivery. All our integrations are now also available for SQL data warehouse.

This means that all your data, including that from third party sources (such as advertising data, CRM, and social data), can be easily and automatically loaded to your data warehouse with Rivery.

Azure SQL Data Warehouse lets users quickly implement a high-performance, globally available, and secure cloud data warehouse.

It enables to scale compute and storage, while pausing and resuming your data warehouse through a massively parallel processing architecture designed.

Users can seamlessly create a hub for analytics along with native connectivity with data integration and visualization services, all while using existing SQL skills. 

This new addition is important for our enterprise customers using Microsoft’s cloud & data stack.

Last year we made Rivery compatible with Azure Data Lake. Now, in addition to supporting Redshift, BigQuery and Snowflake, we’re opening our services to teams relying on Azure SQL Data Warehouse.

As a platform-agnostic tool, we want to make sure our tools help you make the most of your data. We have simplified the way you process, extract, and manipulate data – regardless of your cloud provider or your warehouse of choice.

Our mission is to help our customers to help them gain the best business insights, removing costly hurdles associated to data management.

So now you can unlock new insights from your data with Azure SQL Data Warehouse and Rivery.

With a fully managed cloud data warehouse, plus Rivery’s capabilities to orchestrate & connect all data sources and automate the ETL process.

Are you already using Azure SQL Data Warehouse? If you’d like to learn more about how Rivery can help your team improve your data processes get in touch.

Minimize the firefighting.
Maximize ROI on pipelines.

icon icon