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Kettle (Pentaho Data Integration)

Easy to use with the power to integrate all data

Kettle (also known as Pentaho Data Integration) is used by thousands of  (tiny to huge) organisations all over the world. 
Kettle's combination of visual development and integration with all components in a modern data architecture allow you to quickly and efficiently design complex data pipelines that can evolve with your architecture and organization.  
With Kettle, you can focus on what you want to do with your data instead of how it needs to be done. 



Discover how your data is connected

Contrary to what the name implies, traditional (relational) databases aren't very good at storing and querying relationships.
In graph databases, relationships between data points are first class citizens. Data is stored as a combinations of nodes (cf. table) and relationships (cf. join). Because relationships are stored within the database, it is possible to quickly and efficiently query known and unknown relationships. 
A number of typical use cases are recommendation engines, (social) network analysis, fraud detection and path finding. 
We'll assist you in modelling, loading and querying your data in graphs with market leader Neo4J.  


Cloud Architecture

analytics without boundaries

Cloud platform are here to stay in a modern data and analytics architecture. Whether you need to process data in (relatively) small or huge volumes, in streaming or in batch, in real-time or on regular intervals, the major cloud platforms have the right tool for each task. 
We assist you in designing and implementing analytics and machine learning projects on Amazon Web Services (AWS) and Google Cloud Platform (GCP). 



lightning fast analytics

When data volumes and the analytics that need to be performed on that data grow, so does the time that is spent loading and querying or analyzing that data. 
Vertica, as a distributed database, stores data on a cluster of machines, has seamless integration with external data (e.g. Hadoop or your data lake) . On top of that, machine learning algorithms can be applied directly on the database. All of this is done through familiar SQL syntax to avoid steep learning curves. 
Vertica is strategically used by the biggest and most data intensive companies on the planet, but can easily add value for smaller organizations as well.