The market's first data virtualization SaaS

Reduce the complexity of implementing,
operating, and maintaining data virtualization

Welcome to the future of data integration

Leading various large scale data integration projects at a global media company, our founder Dr. Nick Golovin experienced that data integration needs to be flexible in order to meet the ever-changing business needs.

That’s why the Data Virtuality Platform provides data professionals with a data integration tool that allows them to always choose the best method for the specific requirement: multiple data delivery style in a single platform and different deployment options:

High-performance real-time data integration through smarter query optimization

Data historization and master data management through advanced ETL

Self-service capabilities for business users as well as easy usability with SQL

Data Virtuality’s flexible data integration approach is the reliable enabler and accelerator for modern data architectures, like data fabric, data mesh, unified data platform and hybrid-/ multi-cloud environments.

Your organization, your deployment choice.

The market’s first data virtualization SaaS

Well suited for organizations of any size that want to move quickly and don’t want to spend too many resources on building the solution.

Data Virtuality Platform SaaS provides you with a fully managed hardware and software stack management so you can fully focus on using the data!

Data virtualization for flexible data architectures

Like the Data Virtuality Platform SaaS, the on-premises version provides multiple data delivery styles in a single platform: data virtualization, ETL/ELT, streaming, CDC (change data capture).

This enables an agile data infrastructure with high performance.

Previous slide

Next slide

Previous slide

Next slide

Highlights From Our Resources

The Comprehensive Handbook of Data Integration

This ebook will give you a state-of-the-art overview of all data replication approaches and helps finding the right one for your organization.

Data Governance Strategy for Data Analytics & Data Integration Initiatives

This whitepaper shares the benefits of a mature data governance strategy and how Data Virtuality has aligned its approach to supporting our clients’ varied data governance needs.

Why Data Virtuality?

Agile Data Management

Cut down your development time by up to 80%
Access any data in minutes and automate data workflows using SQL
Use Rapid BI Prototyping for significantly faster time-to-market

Ensure Data Governance

Ensure data quality for accurate, complete, and consistent data
Use metadata repositories to improve master data management
Increase transparency through data lineage across data virtualization and ETL processes

200+ Available Data Connectors

Get immediate access to any data source or system, even in real-time
All connectors are ready-to use and fully maintained by us
Gain complete data access in 1 day instead of months of development

News

Live Webinar: Demystifying Data Mesh

For this webinar, we have invited Michele Goetz from Forrester to decipher the actual benefits of the hype together with us.

Customer Spotlight

Financial Services

Crédit Agricole

Crédit Agricole transformed their EDW into a data platform and enabled self-service initiatives and faster time-to-market.

Financial Services

Renew Financial

Renew Financial integrated data from disparate sources and built a one stop shop for data. The BI team finally trusts the data.

E-Commerce / Retail

Swanson

Swanson Health Products used data virtualization and materialization to drive self-service initiatives which drastically reduced time-to-insights.

Nasco

The AI Corporation

Apologistics

Hexaware

Weleda

Unanet

Renew Financial

Get Customer Insights →

Looping Group

Lastminute.com

Roland Berger

GASAG

Public Healthcare Provider

Get Customer Insights →

U Gie IRIS

BSH Hausgeräte

Springlane

iProspect

Amaysim

PartnerRe

International Telecommunication Union

Crédit Agricole

Get Customer Insights →

SRS Distribution

People.ai

Get Customer Insights →

Cyber Solutions

Rainforest Alliance

FC Basel 1893

CSS Insurance

Albelli

Get Customer Insights →

SM Nutrition

TOPdesk

PGGM

Get Customer Insights →

Voices of Our Customers

Having Data Virtuality in place for years, we feel that it is the data foundation to help the company leverage the data assets. It is the last piece of the puzzle in solving all of our data challenges. With Data Virtuality, our BI department became a flexible one stop shop for everything data and more. The other teams at Renew Financial know that they can rely on us delivering the right data in a very fast development time, five times faster to be precise.

Mai DoanDirector of BI at Renew Financial

Data Virtuality is so easy to use that even our business analysts can use it and get the data whenever they need it. Before Data Virtuality only our developers could use the tool and the business analysts had to wait. Now that the developers as well as business analysts can use the solution, we are not only more efficient but were able to cut cost by 80%!

Fred DunantDMO Manager at Crédit Agricole

Data Virtuality has made the data analytics team so much more efficient and effective. It allows us to do more than we could have done with any other kind of technology. I wish I would have been aware of data virtualization and specifically Data Virtuality years ago. Because of its capability it makes my life so much easier.

Frank NoordoverDirector of Data Management at Swanson Health

With Data Virtuality, we are very flexible and scalable now! We can easily unlock new data sources, quickly implement changes, and get comprehensive insights of different parts of our business. The demand for data has risen - exponentially it seems.

Sjors TakesLead Data Solutions Architect at Albelli

With the help of the Data Virtuality Logical Data Warehouse we brought multiple sources together and we managed to create data marts which contain data from a lot of sources, ready to be used. And once we connected the LDW to our BI tools for analysis we already reduced a lot of dependency on us. And now, instead of downloading data from different sources, and then joining and cleaning them e.g. in Excel, we simply have these tables ready-made in Data Virtuality.

Raghav SehgalHead of BI at Avenso AG

Data Virtuality Partnerships

Solution Partner

Technology Partner

Solution Partner

Technology Partner

Solution Partner

Technology Partner

Solution Partner

Technology Partner

Solution Partner

Technology Partner

R20 Consultancy

Solution Partner

Technology Partner

Solution Partner

Technology Partner

Solution Partner

Technology Partner

Get Started with
Data Virtuality

Your organization, your deployment choice.

Products

Solutions

Overview

By Use Case

By Industry

Learn

Company

Data Virtuality Platform SaaS

Data Virtuality Platform

Login

The market's first data virtualization SaaS

Welcome to the future of data integration

Your organization, your deployment choice.

The market’s first data virtualization SaaS

Data virtualization for flexible data architectures

Highlights From Our Resources

The Comprehensive Handbook of Data Integration

Data Governance Strategy for Data Analytics & Data Integration Initiatives

Why Data Virtuality?

Agile Data Management

Ensure Data Governance

200+ Available Data Connectors

News

Live Webinar: Demystifying Data Mesh​

Customer Spotlight

Nasco

The AI Corporation

Apologistics

Hexaware

Weleda

Unanet

Renew Financial

Looping Group

Lastminute.com

Roland Berger

GASAG

Public Healthcare Provider

U Gie IRIS

BSH Hausgeräte

Springlane

iProspect

Amaysim

PartnerRe

International Telecommunication Union

Crédit Agricole

SRS Distribution

People.ai

Cyber Solutions

Rainforest Alliance

Avenso (Lumas & Whitewall)

areeba

Swanson

FC Basel 1893

CSS Insurance

Albelli

SM Nutrition

TOPdesk

PGGM

Voices of Our Customers

Data Virtuality Partnerships

Get Started with Data Virtuality

Data Virtuality Platform SaaS

Data Virtuality Platform

Live Webinar: Demystifying Data Mesh

Get Started with
Data Virtuality