Data Hub for Live Systems

A data hub is a central repository that stores and manages data from multiple sources within an organization. It serves as a single point of access for data and enables data integration, data management, and data governance across the organization.

The Datavault Builder automates every aspect of the creation of a data hub.

By using a model-driven approach your integrated data becomes meaningful and can be expanded in an agile way. This approach reduces your TCO and ensures maintainability in the years to come.

Get your free personal presentation

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:

To improve data integration: A data hub can help to integrate data from multiple sources and make it available to users in a consistent and reliable manner. This can improve the accuracy and completeness of data, as well as reduce the time and effort required to access and use data.

To facilitate data management: A data hub can help to manage data across the organization by providing a central location for storing, organizing, and managing data. It can also help to enforce data quality and governance standards, and ensure that data is used in a consistent and compliant manner.

To enable data-driven decision making: A data hub can provide a comprehensive view of the data available within an organization, enabling data-driven decision making and supporting business growth.

To support data analytics and reporting: A data hub can provide a central location for data analytics and reporting, making it easier to access and analyze data from multiple sources.

Trusted by Customers

One tool solving the complete challenge

Central data storage with full historization, giving true access to all historic data
Guided Editor for modelling, bringing IT and Business stronger together
customizable Business Rules, allowing integration of conflicting data sets
Near-Real-Time processing for up-to-date information
Flexible Extension with new sources, based on data vault modelling technique
Supported Source Data: Any JDBC-capable Database (such as MS SQL/Access/Excel, Oracle, IBM DB2, TeraData, Hadoop Hive, …)
Output: Dimensional Model, Excel Files or Flat Tables, accessible over a database connection or as a file export (JDBC, ODBC, CSV, Excel)

GDPR Cookie Consent with Real Cookie Banner