Frequently Asked Questions

The Data Virtuality Platform uniquely combines data virtualization and data replication and thereby provides data teams the flexibility to always choose the right method for the specific requirement. It provides high-performance real-time data integration through smarter query optimization and data historization and master data management through advanced ETL in a single tool. The Data Virtuality Platform is an enabler for modern data architectures such as Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. 

Data virtualization allows to easily connect, deliver, and access data without extensive technical knowledge. Data can be manipulated, joined, and calculated independently from its source format and physical location. Thereby, time-to-solution can be improved drastically (by up to 5 times). New ideas can be tested through rapid prototyping, giving more flexibility and allowing faster test cycles before moving to productive environments.

Learn more about data virtualization in this blog post Data Virtualization: The Complete Overview

The Data Virtuality Platform is a horizontal solution that can be used across multiple industries. The companies using our solution have the same need: easily integrate data from multiple sources so it can be quickly turned into insights. Here are some examples, more can be found in our solutions section.

Financial Services: Built on top of the existing or as a new infrastructure, the Data Virtuality Platform can help to quickly adapt to the ever changing regulatory requirements such as BCBS 239, SFTR, Solvency II, and GDPR and drive digital use cases.

Healthcare: An integrative data platform that aggregates data from different systems for transparency and automation of workflows can be built with the Data Virtuality Platform. Better management of patient-flow helps to reduce costs, lower staff turnover rates, and more efficient management/planning of the bed occupancy.

Retail and E-Commerce: Customer 360, lean inventory management, personalized customer discounts, data privacy protection, and many more use cases can be enabled with the Data Virtuality Platform by bridging data silos across hybrid- and multi-cloud environments, integrating big data, IoT, streaming, etc., and using data management capabilities for data governance.

Companies of different sizes and industries with data integration or delivery challenges buy our solution. What differentiates us in the market is that at Data Virtuality, we believe that data integration and delivery should be available and affordable not only for enterprises but also for smaller sized companies. That’s why we work very closely with both segments, enterprises and SMEs (small- and medium-sized enterprises) to help them meet their needs in regards to data.

Yes, we offer connectors to the different clouds of Amazon, Google, and Microsoft Azure. You can find an extensive list of possible data sources here.

We can connect to all popular BI tools such as PowerBI, Tableau, Looker, and Qlik. Please find the extensive list here.

Yes, we do support Rest API and you can expose data through Rest API in the Data Virtuality Platform.

The Data Virtuality Platform enables logical and distributed architectures that are essential to the data mesh concept by combining the two technologies data virtualization and automated ETL. Data governance and security features that are needed in a data mesh environment are also provided within the Data Virtuality Platform. You can learn more about how the Data Virtuality Platform enables the Data Mesh framework here.

By combining the two technologies, data virtualization and automated ETL, and putting a uniformed metadata layer on top of them, the Data Virtuality Platform enables exactly the dynamic and holistic data management architecture needed to transform the data fabric from a concept to reality. Learn more here.

Yes, we do support flat files.

You can find technical documents and user guides under Docs & Support on our website.

Our pricing is scalable depending on the use case. It is based on the number of connector types and servers used. Please contact us at [email protected] if you would like to get an individual pricing for your use case.

The set up depends on the scope of your project and can range anywhere from a couple of weeks to a couple of months. Connecting data sources is simple and takes minutes when data source credentials are available. Most connectors can be connected by yourself. Some are available at request and will be installed separately.

The Data Virtuality Platform comes with features that enable you to ensure data governance. You can use metadata repositories to improve master data management and increase the transparency, accountability and auditability with automatic data lineage. Furthermore, 3rd party tools such as Collibra and Infogix can be easily integrated.

For a full list of features please check our Data Virtuality Platform page here where you can also download our product sheet for all technical details.

The Data Virtuality Platform is an advanced solution for sophisticated data management use cases. Non-technical users are able to quickly acquire the knowledge to operate the solution.

Recommended knowledge:

• SQL
• Understanding of the concept of data virtualization
• Experience in working with relational databases

During the 14 day Proof-of-Concept period you can schedule training sessions with our Solution Engineer (optional).

Where to learn more about Data Virtuality:

• Find our resources like webinars and guides here.
• Learn from customer success stories here.
• Read through our blog here.

Support:

• During a Proof-of-Concept please contact your dedicated Solution Engineer directly via eMail.
• Customers can submit support tickets through our support system.
• You can participate in our community to discuss topics with us and other users, give feedback, submit feature requests and learn best practices from other users.

Contact us:

[email protected]

Data Virtuality uses the best of ETL/ELT and data virtualization.

The Data Virtuality Platform uses both technologies: data virtualization and ETL/ELT. We combine the two distinct technologies, virtualization and replication, for the best possible performance. The architecture is named by Gartner as the future of data warehousing.

Interested to learn more about data integration technologies? Take a look into our free ebook here.

Our use cases vary as Data Virtuality Platform can help with any data integration or data delivery challenges. But to name the main ones:

• Semantic layer for data science and self-service BI
• Enabling modern data architectures such as data fabric, data mesh, and logical data warehouse
• Hybrid- and multi-cloud architectures
• Data governance
• Customer data integration for 360 degree view