Starting November 12th, 2021, we will rename our data virtualization solution to “Data Virtuality Platform” (former Logical Data Warehouse). This move is in line with our overall strategy to align our own growth with the needs, requirements, and use cases of our customers and users.
In accordance with customer feedback and the market trends, we have improved and enhanced the Data Virtuality Platform so our customers can challenge the traditional monolithic data architectures while maintaining governance, security, and scalability. It started with the Logical Data Warehouse use case and has now evolved to further modern data architectures such as data fabric, data mesh, and unified data platform. By uniquely combining the two data integration approaches, data virtualization and ETL, the Data Virtuality Platform gives the flexibility to choose the data integration approach needed to best meet today’s and tomorrow’s business needs.
Furthermore, while the Logical Data Warehouse was almost purely focused on analytical use cases, the Data Virtuality Platform also enables transactional use cases. We are seeing an increase in the requests coming in from our customers that are shifting from analytical to a mixture of analytical and transactional use cases, e.g. loan approval management in financial institutions and patient flow operations in the healthcare industry.
These learnings are augmenting our self-perception within the market and will be impacting our roadmap going forward. We are currently working hard on new functionalities, so please stay tuned for some big announcements that will come up.
DATA VIRTUALITY PLATFORM
The Data Virtuality Platform (DV Platform) is a step up in the evolution of data integration, combining the best of data virtualization and ELT/ETL in a single, comprehensive data management solution:
- The data virtualization engine allows to retrieve data using a single query language, get query response, and assemble different data models or views of the data – all in almost real-time.
- Physical data integration is a robust part of the DV Platform that ensures fast query response while decoupling performance from the source data stores and moving the data to the physical repository.
In this manner, the effort-intensive physical transfer of the data is minimized and simplified, effectively removing lengthy data movement delays from the critical path of data integration projects. The final result is easy data access without fundamentally changing the existing environment.