MOVE YOUR DATA INTO YOUR TARGET STORAGE
YOUR FREE TRIAL:
START ON AWS
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With pre-built templates. 5 minutes. No coding required. You’ll get a 14 day free trial.
HOW PIPES WORK
Build a single source of data truth for your BI tools.
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EXTRACT
Choose your data sources: Google Analytics, Salesforce, Crunchbase
LOAD
Move your data into a target storage: Amazon Redshift, Google BigQuery, PostgreSQL, Snowflake and more
ANALYZE
Analyze your data using your Business Intelligence tools: Looker, Tableau, R and more
QUICK SET-UP

Use your web browser and replicate all your data in minutes
EU & US HOSTING

Hosted in EU and US complying data protection laws
SECURE CONNECTION

Encrypted connection to ensure data protection
BUILT FOR BIG DATA

Grow your data volumes along with your business with no data caps
PRODUCT FEATURES
All features for simple data replication in only a few minutes
Data Virtuality Pipes: Pre-Built Templates
PRE BUILT TEMPLATES
Use templates to get the data you need out of your data sources
ACCESS RAW DATA
Pipes put all your data into one place and enables joins across datasets
NO CODING
Connect and replicate all your data pipes without a single line of code
CHOOSE FROM 60+ DATA SOURCES
Self-serve connect to your data sources and remain in control of your data pipes
MANAGED SCHEMA
Automatically maintain data schema
CUSTOM IMPORT SCHEDULES
Select how often data is extracted and load it into your target storage
Data Virtuality Pipes: 60+ Connectors

Carly Kaufman

Manager of Data Services, Craftsy

We have been able to cut our development time by 80% which allowed us to spend more time on solving business problems and less time on the actual technical implementation.

Tobias Weinmann

Senior Head of Online Marketing, Ab-in-den-Urlaub.de

Data Virtuality is saving us 80% of the time when creating reports. Time we can use analyzing our data to find golden nuggets.

Tobias Helm

Head of BI and Finance, Windeln.de

Being able to work productively right away is a big advantage for us compared to the usual month-long implementation times of traditional data warehouse projects.

Ivo Fritzsche

Senior Business Intelligence Manager, Juniqe

Before Data Virtuality we had to go into each of our databases, pull the data and stick it somehow with Excel together. Now we can access data at all times, set up reports in DataVirtuality, schedule data import jobs and make the reports available to everyone.

Christian Gleichmann

Head of eCommerce, babyartikel.de

Using Data Virtuality means that we can make considerably better use of our data systems. The transparency of information is also significantly higher. Decision making is no longer based on intuition, but driven by data and is, therefore, well-founded.

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