Data Hub for Live Systems

A data hub is a central repository designed to store and manage data from multiple sources within an organization. It functions as a single point of access for data, facilitating data integration, management, and governance throughout the organization.

Datavault Builder automates every facet of creating a data hub, streamlining the process significantly.

Employing a model-driven approach, Datavault Builder ensures your integrated data is not only meaningful but also capable of agile expansion. This method effectively reduces your Total Cost of Ownership (TCO) and guarantees maintainability for the future.

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The top rated tool in many categories

Why you need a Data Hub

There are several reasons why your company might need a data hub:

Improved Data Integration: A data hub streamlines the integration of data from various sources, providing users with consistent and reliable access. This enhances the accuracy and completeness of data, while also reducing the time and effort needed to access and utilize data.

Enhanced Data Management: By offering a centralized location for data storage, organization, and management, a data hub simplifies data management across the organization. It supports the enforcement of data quality and governance standards, ensuring data is consistently and compliantly used.

Data-Driven Decision Making: A data hub offers a comprehensive overview of an organization’s data, enabling informed, data-driven decision making and fostering business growth.

Support for Data Analytics and Reporting: With a centralized location for data analytics and reporting, a data hub makes it easier to access and analyze data from multiple sources.

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One tool solving the complete challenge

Central Data Storage: Offers full historization, providing complete access to all historical data.

Guided Editor for Modeling: Enhances collaboration between IT and business teams.

Customizable Business Rules: Allows for the integration of conflicting data sets.

Near-Real-Time Processing: Ensures information is always current.

Flexible Extension with New Sources: Utilizes the data vault modeling technique for adaptability.

Supported Source Data: Compatible with any JDBC-capable database, including MS SQL, Access, Excel, Oracle, IBM DB2, Teradata, Hadoop Hive, and more.

Output Options: Offers a Dimensional Model, Excel Files, or Flat Tables, accessible via a database connection or as a file export (JDBC, ODBC, CSV, Excel).

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