Data Virtuality

Logical Data Warehouse


5 / 5
4 reviews


Average Ratings

4 Reviews

  • 5 / 5
    Overall

  • 5 / 5
    Ease of Use

  • 5 / 5
    Customer Service

Product Details

  • Starting Price
    Not provided by vendor
  • Deployment
    Cloud, SaaS, Web
  • Training
    Documentation
    Webinars
    Live Online
    In Person
  • Support
    Online
    Business Hours

Vendor Details

  • Data Virtuality
  • datavirtuality.com/
  • Founded 2012
  • Germany

About Logical Data Warehouse

Data Virtuality provides data integration solutions that help companies like Audi, DHL and Swanson Health to easily connect and manage their data from multiple data sources such as APIs, databases and flat files. The revolutionary single source of data truth platform provides 200+ connectors and combines data virtualization & automated ETL. In this way not only is data management simplified but data integration efforts are significantly reduced - up to 80%.


Logical Data Warehouse Features

  • Dashboard
  • ETL - Extract / Transfer / Load
  • Metadata Management
  • Multiple Data Sources
  • Web Services

Logical Data Warehouse Reviews Recently Reviewed!


Capterra loader

Powerful data hub supporting stored procedures in SQL

Nov 29, 2018
5/5
Overall

5 / 5
Ease of Use

5 / 5
Features & Functionality

5 / 5
Customer Support

4 / 5
Value for Money
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Pros: We have partnered with Data Virtuality since 2016 and use the software as the central data hub in our business intelligence projects. In the first phase of our projects we connect to our clients' data sources. That takes only a couple of minutes and we can immediately proceed to start building dashboards. Its the enabler for ad hoc reporting and rapid prototyping.

The strength over other ETL tools are the pre-built connectors which cut down time for data access to minutes - and the virtual data layer. The concept of a virtual data layer that supports sophisticated SQL procedures is a game changer in the industry.

Cons: Time to on-board. We use the software in a way no other ETL tool operates. That required a rethinking.

Overall: Automating data work flows utilizing stored procedures

Cutting down time to access data to minutes.

Having a central data hub to describe the business logic was really critical for us.

Overall, was easy to set up and is now a critical tool in our BI stack for all our analysis

Data Virtuality is the core of our reporting infrastructure feeding Tableau with data for reportings

Oct 12, 2018
5/5
Overall

4 / 5
Ease of Use

5 / 5
Features & Functionality

5 / 5
Customer Support

4 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
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Pros: I am using Data Virtuality for 3 years now. The best about Data Virtuality is that it enables me, a non technical user, to access our client data sources and build reportings in a very short time completely autonomously. Previously, I needed developers to access our client data which took several weeks and did not always work. Support is also helpful.

Cons: The desktop frontend looks a bit dated for me. The web frontend introduced in 2.1 looks very promising for the future.

Overall: Reporting for clients: Connecting to several APIs and databases on client side. Mostly Mailchimp, Google Analytics, Web Shop Data (Magento), MS SQL Server and MongoDB. Visualization with Tableau and automatically sending reports via email.

Integrating marketing data sources for campaign management and attribution

Dec 27, 2018
5/5
Overall

5 / 5
Ease of Use

5 / 5
Features & Functionality

5 / 5
Customer Support
Likelihood to Recommend: 10.0/10 Not
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Pros: The best and unique thing is really that Data Virtuality is fully SQL based which gives us full flexibility when working with our data other marketing integration pipeline tools could not provide us with.

First, we connected our marketing partner sources. Data Virtuality has many connectors, so our facebook, linkedin, twitter, google ad, analytics and MySQL database was connected within 1,5h. Once we did this, we had access to the full API and could model and transform the data with SQL. That is really a game changer, because other marketing integration solutions only let us select from templates, where we always ran into limitations when building an attribution model.

We have also stored a lot of SQL code that defines how our marketing data flows on Data Virtuality. It's basically the data brain behind our marketing operations.

Cons: Most advantages come with a disadvantage. Here, the price of flexibility comes with the fact that you need to know SQL well.

Overall: Overall, we're very happy with it. It is a very sophisticated software that comes with a variety of features that helped us to build our marketing analytics stack and bring our infrastructure to the next level (coming from having tested a couple of dozen data pipeline tools out there)

The must-have data infrastructure for my client companies

Nov 13, 2018
5/5
Overall

5 / 5
Ease of Use

5 / 5
Features & Functionality

5 / 5
Customer Support

4 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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Pros: I am consulting with high-growth startups that usually start with a clean sheet when it comes to Business Intelligence, but quickly need to set up an infrastructure for reporting and analytics for marketing, sales and operations.

Best about Data Virtuality is the large number of connectors to access data sources. It saves me time on the integration part and let's me focus on working on the logic behind the numbers.

Another important part is that I can pull all data, also custom fields for example for Salesforce. I can build out the specific business logic my clients need instead of just using templates for integration.

Cons: Sometimes I get error messages that are not self-explaining for me.

Overall: Data Virtuality is the single source of data truth for Business Intelligence tools at my client companies. I can easily access data sources and build out the business logic. I use data viz tools like Excel, Tableau or Metabase on top of Data Virtuality. Overall, the software enables me to have a complete data infrastructure that I can easily manage - versus taking time from developers away to constantly build out and maintain data pipelines.