Harvester™ accelerates information integration and data sharing by automating the discovery and mapping process.

Every data sharing and integration initiative first requires an understanding of what data is present and where relationships exist between data sources. All downstream implementation efforts rely on this "mapping process" to be completed as quickly, accurately, and efficiently as possible to prevent the need for expensive rework and to maximize the return on investment for information management initiatives.

Sypherlink Harvester automates much of the data discovery and mapping process, providing knowledge of what data is available and how key data relates across multiple sources.

Harvester utilizes a patented technology to analyze, evaluate and provide confidence scoring on the similarities and compatibilities among field names, field attributes, referential data and physical data values. It then presents these relationships within a powerful user interface for review, approval and modification.

Data and Metadata Discovery
Harvester automatically discovers select data and metadata from a variety of data sources including relational, non-relational and non-traditional data sources. Information discovered - including database names, table names, field names, field attribute information, primary keys and foreign keys information - is leveraged during Harvester's matching process to determine where the most probable relationships exist.

Sophisticated Heuristics
Harvester utilizes its unique technology and applies sophisticated heuristics to analyze, evaluate and provide confidence scoring on the similarities and compatibilities between field names, field attributes, and actual data.

Mapping User Interface
Harvester’s Relationship Manager is an intuitive user interface which provides a single, holistic view of an enterprise's data sources and related schemas, and the relationship maps between the data sources. Relationship Manager also makes quick work of mapping the exceptions found during the automated discovery and mapping process.

Integration into Complementary Technology
Application Links allow the field-level mapping relationships created within Harvester to be seamlessly integrated into third-party data manipulation and modeling tools, making integration simple and transparent. Regardless of the combination of tools, Sypherlink’s technology accelerates the implementation; reduces risk, cost and resources; and maximizes value of development and reengineering efforts.