Automate delivery
of data to clients based on their individual needs

Learn More

Consolidate data from
cloud applications

Learn More

Extract reporting data from CRM & Accounting

For Porch, an online home improvement marketplace, running their content management system requires a lot of upfront data integration. Porch selected CloverETL to handle the job, using it for core integration as well as analytical workloads.

Eric Schleicher, Porch.com, CTO   →  Watch Video

Replace legacy
Warehouse Builder with a more flexible tool
Replace scripts
with visual logic
Send data from DBs and files into
AWS Redshift data lake

Learn More

In order to combine their data sources into Tableau quickly and with minimal labor, it was necessary for the small digital insights team within EE to choose a data integration platform that could handle their data rapidly and offered stellar support.

Dwayne Browne, EE, Digital Insights Manager   →  Watch Video

Pull aggregated data from Hadoop into a DWH near real-time
Transform financial transaction data into
unified format
Automate processing of large number of Excel files

We need something for our junior team members to easily manage. Our current Python scripts are getting too complicated.

Pull Point Of Sale XML data into an eCommerce system
Validate data
quality before analytics

Learn More

Prepare geospatial data for analytics

Learn More

Data integration software and ETL tools provided by the CloverETL platform offer solutions for such data management tasks such as data integration, data migration, or data quality. CloverETL is a vital part of such enterprise solutions as data warehousing, business intelligence (BI) or master data management (MDM). CloverETL’s flagship applications are CloverETL Designer and Server. CloverETL Designer is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverETL Server is an enterprise ETL runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, clustering, or cloud data integration.