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Open Source for Big Data

Open Source as an alternative to standard applications

Whether Python, Hadoop or Spark - Open Source in the Big Data environment is enterprise-ready! We support our customers in evaluation, installation, development, operation and maintenance.

In addition to the established standard technologies, open source is playing an increasingly important role - also at Big Data. Freely available software has long outgrown its infancy and is a real alternative for data storage, processing and evaluation. For companies, it is therefore important to clarify which software is the right one for their purposes, how to ensure internal know-how development and how to integrate it into existing processes.

We know about the advantages of open IT applications: Open source software for Big Data is mature. It is not only very popular with young IT specialists, but above all it offers flexibility. Because companies do not have to tie themselves to a specific provider and can start right away. In many cases, installation is free of charge and still enterprise-ready. Many products also offer optional support with professional maintenance.

Open Source offers a variety of possibilities. We will be happy to advise you on this.

Would you like to get an idea of how open source applications can be structured in the big data area? Then read more about our own platform VDPP, which is based on open source solutions. It is a blueprint with which we would be happy to go into a proof of concept or cooperation with you.

Our VDPP platform is based on Open Source. You can find out more here

The advantages at a glance

  • test prototypes and ideas flexibly and quickly.
  • implement applications on-premise, migrate to the cloud and maintain.
  • combine additional software solutions and standard products.
  • support end users in the structured and methodical creation of their reports and processes.
  • ensure that valuable knowledge about the open source solution is passed on to users and IT experts in your company.

We have always been enthusiastic about the latest Big Data technologies and solutions, their implementation and practical use. We are an inquisitive team that collects open source know-how in many prototypes, projects and our own developments - again and again. And we remain enthusiastic and interested. Thanks to our eagerness to learn and our practical experience, our customers can count on us for every open source project.

  • Languages
  • Data Science and Analytics
  • Besides Open Source for Big Data
  • we also know tools like
  • Big Data platforms
  • NoSQL databases


  • Python
  • Java
  • R

Big Data Plattformen

  • Cloudera Distribution for Hadoop (CDH)
  • Hortonworks Data Platform (HDP)

Big Data

  • Spark
  • Hive
  • Kafka
  • Dask

Data Science und Analytics

  • Pandas
  • NumPy
  • TensorFlow
  • scikit-learn

NoSQL Datenbanken

  • MongoDB
  • HBase
  • Neo4j

Neben Open Source für Big Data kennen wir auch Handwerkszeug wie

  • Docker
  • Git
  • Jenkins

You want to know more? We look forward to hearing from you.

Patrik Bannholzer

Head of Consulting
Member of the Executive Board

+49 6221 / 61 60 50

The graduate computer scientist has a broad IT spectrum and knowledge: starting with architectures up to business analyses. In his long career he has already carried out successful projects in all industries. He is always happy to be involved when it comes to advising customers, familiarizing himself with new topics and creating good solutions.