Low-cost, high-value data integration

Harvester Integrator provides robust, high-performance data movement capabilities, including extracting, transforming and loading (ETL) data into target applications. Built upon open source technology, the product is a low-cost, high value solution for accelerating data integration projects while reducing project costs and related risk.

Full-featured solution

Harvester Integrator is a full-featured ETL solution which includes:

• Proven enterprise-class performance and scalability;
• A rich transformation library with over 100 out-of-the-box mapping objects;
• Broad data source support for packaged applications, including more than 30 open source and proprietary database platforms, flat files, Excel documents, and more;
• Integration with the Pentaho BI Suite for Enterprise Information Integration (EII), advanced scheduling, and process integration;
• Advanced data warehousing support for Slowly Changing and Junk Dimensions;
• Data cleansing plug-in objects; and
• An extensible architecture.

Easy to use

Our graphical, drag-and-drop interface and extensible standards-based architecture enables you to increases productivity and ensure that you will never be forced to adopt proprietary methodologies into your ETL solution.

Harvester Integrator’s metadata-driven approach means you specify what you want to do and easily accomplish the task. Create complex transformations and jobs in a graphical, drag-and-drop environment without having to generate any custom code.

Harvester Integrator utilizes metadata from Harvester for mappings and business rules. Harvester Integrator is then used to implement and optimize the business rules through ETL transformations and run-time jobs.

Cloud ready

Harvester Integrator is available in a cloud-ready platform. It can be deployed on a distributed computing platform using multi-server, multi-threaded resources to distribute the processing required to complete a job or set of data transformations.

Example Uses

Harvester Integrator provides significant value for the following initiatives:

• Data migration between applications
• Exports of data to other databases or text files
• Data cleansing by applying complex conditions in data transformations
• Exploration of data in existing databases (tables, views, etc.)
• Information enrichment by integrating data from various sources
• Data warehouse population

Key Benefits

• Seamless integration with Sypherlink Harvester which facilitates automated discovery and mapping
• Rapid development and testing of ETL transformations
• Data Integration projects completed on time and budget
• Project risk mitigation