Amazon Redshift
Amazon Redshift can analyze huge volumes of data
at near-limitless scale, but leveraging its immense
processing power requires equally large considerations
for loading data into the platform consistently.
Data Migration to Redshift ETL Automation
Your data is growing in volume and complexity faster than ever, and you’re ready to make the move to Redshift, where you’ll be able to scale beyond your wildest expectations. But this is no small undertaking. WhereScape automates the development of end-to-end data pipelines in Amazon Redshift with built-in best practices.
Big Data, No Big Deal: Redshift Optimized by WhereScape RED
WhereScape Data Automation for Amazon Redshift
95 %
Time Savings
on hand-coding development, refactoring and management tasks.
8x
Developer Productivity
in implementing and managing infrastructure through automation.
6x
Return on Investment
by avoiding failures, filling skill gaps and adding built-in best practices.
Automate Your Data Integration with
Redshift ETL Automation
Redshift can handle volumes of data unlike any other, but it needs that data—fast. Make your continuous data integration error free with the help of WhereScape Automation. It removes friction so you can turn raw data into insights you can leverage faster than ever before.
Fully Leverage the Capabilities of
Redshift Architecture
Cloud scalability is an exciting prospect, but to take advantage of this limitless size you need to make a lot of small choices—which means a lot opportunities for inefficient organizational decisions and human errors. WhereScape’s wizards and automatic code generation tools reduce risks and the costs that mistakes can incur.