During their experience gained from working on implementation projects, the founders of AnalyticsCreator recognized a market need and the possibility to develop a framework to automate data warehouse creation. As a result, a code framework was built in 2008 and was initially used in customer projects. However, the company AnalyticsCreator was not founded until 2017. By this point, the framework had been rebuilt into a UI-based product and the vendor began to promote it.

Today the company employs eight people who are mainly focused on software development. Its headquarter is in Munich, Germany. Overall the vendor serves more than 40 direct customers and has additional customer projects which AnalyticsCreator partners have implemented. In general, the company is partner-oriented. The software also helps consulting companies to implement data warehouse systems in shorter time frames than in the past. Therefore, the majority of AnalyticsCreator customers are actually system implementers.

AnalyticsCreator’s eponymous product consists of two main components: A Windows client and a cloud-based service. The first is used to customize the data warehouse. Users can connect to data sources, declare the data semantics and set model-specific parameters. The model data is deployed to a cloud-based service called ‘AnalyticsCreator Cloud Generator’, which generates the code and structures. The software is designed for the creation of data warehouses for the Microsoft SQL Server platform. AnalyticsCreator is independent of the modeling concept. Customers are free to use Kimball, Data Vault or other methodologies for this. Besides layers created for Microsoft SQL Server, the solution supports the preparation of data marts for a number of BI front ends. For example, customers can automatically generate data models for Microsoft Power BI, Tableau and Qlik Sense. Once a data warehouse environment with the appropriate data marts is set up, the runtime of the customer’s choice can be chosen for deployment. AnalyticsCreator sees itself as a design time and not a runtime environment. After the initial implementation, customers may continue using AnalyticsCreator for the further development of their data warehouse system.

User & Use Cases

Besides data warehouse automation and data modelling (both 89 percent), customers mainly use AnalyticsCreator for data integration (84 percent). 53 percent of respondents use it for enterprise data warehousing. The tool is used especially by smaller and mid-sized companies. 47 percent of our sample come from smaller companies (less than 101 employees), 32 percent from medium sized companies (101 to 2,5000 employees).

As a specialized data management tool, AnalyticsCreator is typically used by a select group of users. In the companies responding to this survey, AnalyticsCreator has a median of 3 users. Indeed, the software offers a template-driven way to design and fill data warehouses which aims to reduce the manpower needed for the creation and production of a data warehouse system.

Current use


Percentage of employees using AnalyticsCreator


Number of users using AnalyticsCreator


Company size (number of employees)


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Peer Groups Data warehousing automation products
VendorAnalyticsCreator Solutions
Number of responses38
Customersca. 40 direct customers, additional customers via partners
Revenues (2018)n/a