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
Leverage your existing data environment through instant data access, data centralization, automation and data governance.
The Data Virtuality Platform marries two distinct technologies to create an entirely new manner of integrating data. The combination of data virtualization and next generation ETL enables an agile data infrastructure with high performance.
The Data Virtuality Platform connects to multiple data sources and allows querying data from there by using SQL. Data sources can either be relational or non-relational, the source file's format does not matter.
Data Virtuality enables you to integrate your data and create a central data logic that covers the business logic and the logical connections between the different systems. This layer can easily be implemented by using SQL.
Finally, the Data Virtuality Platform supports all common interfaces (JDBC, ODBC, REST) to deliver data to the data consumers. This could be reporting tools, advanced analytics tools, or custom programs in various programming languages.
Your organization, your deployment choice.
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
Increase the transparency, accountability and auditability with our data lineage features. Use metadata repositories to improve the master data management.
Model your data with the highest flexibility and lowest maintenance efforts.
Flexible data model: Based on virtual views data models can be quickly adapted to your business needs with simple SQL.
Single source of truth: Build one central single source of truth for all your data consumers.
Rapid Prototyping: The results of testing are immediately visible, can be changed quickly and propagated company-wide.
In order to effectively query data across data sources, the federation engine supports a range of different optimization strategies. By default, heuristics will choose the best strategy automatically for best performance and lowest resource usage, but still leaves the option to fine-tune the behavior using query hints.
Dynamic cost-based query optimization
Automate your data workflows with Jobs and Schedules.
Jobs: Set rules for automated decision making and execute them. Automate data workflows and edit data in your data sources with the SQL queries you built.
Schedules: Set up flexible schedules and choose from a variety of scheduling options: intervals down to one minute and schedules dependent on other jobs. Gain full control with Data Virtuality’s transparent overview of all schedules and jobs.
Materialization Algorithms: Full copy (used with materialized tables, views, joins, aggregations), Incremental replication based on timestamp/id fields (used with materialized tables and views).
Full Replication: Automated ETL to move/replicate data from a data source into a target storage.
Performance: Schedule incremental cache refreshes to boost performance or schedule full replications in a target storage.
Data Virtuality provides direct access to real-time data or historical data from your sources.
Real-Time Data: The virtual layer allows to query real-time data directly from the data source. Perform joins across multiple data sources on the fly. With the ability to write to connected data sources the Data Virtuality Server enables you to trigger actions based on data.
Historical Data: You can also access historical data from your data sources and replicate it into your data warehouse.
Data Virtuality offers 200+ ready-to-use connectors.
Quick Connection: Quickly connect to your data sources by filing out the parameters in the connector wizard (5 minute setup).
Unified Data Structure: Data Virtuality transforms connected data sources to SQL tables, regardless of the source file format. Join and query all data from connected data sources using SQL.
Connect to any Webservice: Access data and schedule updates from any web service (e.g. Rest API) using Data Virtuality’s CSV or XML/JSON query builder. Data Virtuality automatically applies a relational structure and enables you to modify the output format with a few clicks.
Then, easily add data from web services to your data model by creating views.
The Data Virtuality Studio is the client where you can connect your data source and manage data in SQL.
The Data Virtuality Web client enables all business users (depending on their permissions) to search metadata and query in SQL from the web browser without using the Data Virtuality Studio.
Virtualized Personal Data: With the virtual layer, users do not have to physically consolidate / replicate sensitive personal data outside of the source systems.
Updated Data: Data Virtuality allows users to get the latest, accurate information as applied in the system of record (avoiding unsynchronized / outdated copies of data).
Secured Data: The Platform enables restricted data access across heterogeneous data sources depending on the type of user.
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.
The modern data architecture built with Data Virtuality gives you the flexibility which is needed in this ever changing data world. Also, you can realize a great variety of use cases.
With Data Virtuality, you can develop a robust and comprehensive data architecture that will reliably support your daily operations - quick data manipulation with SQL to name one example.
With Data Virtuality, you have easy and quick access to all data and data models in the central data layer, i.e. you can dive right into your analyses.
With Data Virtuality, you can empower your team to build a flexible data infrastructure for quick time-to-market (up to 80%) and data-driven decisions while saving costs of up to 75%.
Your organization, your deployment choice.
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
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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.