The real-time data
engineering platform
Simplicity through technology
Get straight to value with your data science and analytics projects

SIMPLICITY
A turn-key solution with a low-code approach that provides results very fast without compromising on any technical aspect.

BEST PRACTICES
IN A BOX
A packaged implementation of the best data architectures to cover all your present and future needs.

INDUSTRIALISATION
A platform designed to work at scale and to integrate into your enterprise landscape.
Simplicity

We have taken every unnecessary step away from the process to make data engineering as straightforward and accessible as possible.
Simplicity

Low-code
no-code

Automated
deployment
to production

Unified approach to data

Ready-to-use from day one
Best practices in a box

The technological heart of Digazu is based on modern data architecture and powerful technologies deployed by market leaders worldwide.
Best practices in a box

Streaming & real-time

Combined power of Kafka and Flink

Data-hub native, data-mesh ready

Integrated governance and privacy
Industrialisation

The platform handles the largest volumes at low latency and makes data engineering sustainable in the long term.
Industrialisation

Scalable infrastructure

Multi-cloud-ready

Sustainable through time

Enterprise-wide management
Articles
Digazu for the automotive industry
Read about the 2022 latest trends and use cases shaping the new automotive industry.
The real-time data revolution
IT-powered innovations, the Internet of Things and new generation customer demands are fueling real-time data creation. In this new data landscape, businesses from all industries are quickly shifting from batch processing to real-time data streams to match the new imperatives. In this blog, our marketing analyst, Selima Triki, unpacks the concept of real time and real-time data, some of its benefits and applications.
No-code/low-code and Virtualisation for efficient Data Engineering
In this blog, we uncover the multiple facets of data engineering, what it is and how complex it can be. Digazu's product manager, Luc Berrewaerts walks us through the new technologies to navigate the complexities of data engineering.