Data Governance
By combining metadata and data in real-time, data governance is implemented in a comprehensive data management framework for sustainble success.
Whether you want to build a semantic data access layer or simply replicate data in a central data warehouse, we have the right solution for you.
A new way to access, model, govern, and deliver data through the cloud.
The unique combination of data virtualization and replication built to enable flexible and modern data architectures.
Self-service data pipelines to extract, transform and load data from any source to your central data warehouse.
Explore how you can use the Data Virtuality Platform in different scenarios.
Learn more about the Data Virtuality Platform or to make your work with Data Virtuality even more successful.
Read, watch and learn what our customers achieved with Data Virtuality.
Find insightful webinars, whitepapers and ebooks in our resource library.
Learn how to use the Data Virtuality Platform with hands-on courses.
In this on-demand webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
A fully managed hardware and software stack management so you can fully focus on using the data
The Data Virtuality Platform marries two distinct technologies to create an entirely new manner of integrating data
By combining metadata and data in real-time, data governance is implemented in a comprehensive data management framework for sustainble success.
Data Mesh is a new socio-technical data management paradigm which challenges the traditional monolithic data architectures.
Logical Data Warehouse enables most analytical use cases through integration of real-time and historical data from various sources using SQL.
Organizations highly depend on trusted data to provide great customer experience. Start with customer data integration for a customer 360 view.
Data fabric allows to accelerate and enable more business use cases through metadata, automation, and orchestration.
Data management capabilities incl. Integration, governance, and MDM are a crucial part of any hybrid- and multi-cloud architecture initiative.
A semantic layer provides central access to data and the business logic for self-service BI and data science in a secured and governed manner.
A central data access layer to cleansed, enriched, and governed data for all data consumers.
A data platform gives healthcare providers the transparency and automation needed to improve operational processes such as patient flow.
The business needs of retailers and E-Commerces for complete and clean data that can be trusted are versatile: customer 360, lean inventory, etc.
Modern data architectures help financial services to meet the increasing requirements driven by digitalization and regulation.
Leipzig
Katharinenstrasse 15 | 04109 | Germany
Munich
Trimburgstraße 2 | 81249 | Germany
San Francisco
2261 Market Street #4788 | CA 94114 | USA
Follow Us on Social Media
Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.