CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed.
Rapid Data Integration.
Achieving true, rapid data integration means much more than just raw data processing power.
Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.
Powerful and responsive core software engine that delivers results quickly.
Intuitive visual commands and controls that work the way you think
Simple and fast to set up and run due to open-source, Java-based design.
Well-designed code with a smaller footprint than “big software” means fewer computing resources and less budget required.
Powerful data quality tools mean higher quality data and less time spent fixing mistakes and working with bad data.
Variety of highly configurable components to build your data transformations.
The ability to get answers directly from the people who built the software, without layers of support representatives.
Reduced time on internal approvals and haggling with big software companies over licensing fees.
CloverETL builds upon the Un*x philosophy: Give creative users a set of generic and highly configurable tools that work together and let them build solutions with it. With this approach, things like changes to the environment, format updates, or business logic decisions do not require rigorous overhaul.
It doesn’t matter whether you’re a seasoned ETL developer or a skilled business user. CloverETL is designed to require no upfront training, studying, or lengthy documentation to use. Just start putting components next to each other and you’re good to go.
CloverETL visualizes data flows and helps you do things in a simple drag&drop “click here and there” interface. You don’t need to be a programmer to connect even the craziest data sources or to perform operations like sorting, filtering, mapping different data formats, and more. However, some things are better solved with a few lines of code than dozens of components. You can also do that.
Although coding is not required in most scenarios, sometimes a few lines of code do a job more efficiently than a few dozen components. CloverETL lets you put pieces of CTL or Java code into components to express complex logic or extend their capabilities. What’s cool is that you can always get back to the normal visual workflow.
Our engine-based execution core uses a proprietary pipeline for parallel data processing to ensure maximum data throughput. Moving to the Server Cluster, parallel processing of a single transformation enables an unrivaled performance boost and deployment into a scalable cloud ecosystem.
Integrate data-related processes into the CloverETL platform. Remove the hassle with unmanageable shell scripting, external schedulers, and third-party tools. With Jobflows, bring everything into one unified environment.
Do you have any tips for using CloverETL Rapid Data Integration? Please add them to this list.
Please vote up or down any tips that are already here. Thank you!
Do you know any CloverETL Rapid Data Integration alternatives?
Please add the names of each tool to this list and help others to find them and try them out.
Please vote up or down any alternative so we find the most popular ones. Thank you!
We hope you enjoy CloverETL Rapid Data Integration. To search for any other online tool please use our search box at the top of the page.
If you have benefited from what you have learned here we hope you will consider sharing this page with your social media friends by using one of the sharing buttons out on the left. Thank you!
If you have any questions about CloverETL Rapid Data Integration please ask in the comment boxes below either Google+ or click over to Facebook. If you know lots about CloverETL Rapid Data Integration or any other tool featured in The Web Tools Wiki then please let us know in the comments as well. We will connect with you and give you editing rights. We often pay regular editors for their time.