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

Digazu-Low-code-no-code-color

Low-code
no-code

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Automated
deployment
to production

Digazu-Unified-approach-color

Unified approach to data

Digazu-Ready-to-use-color

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

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Streaming & real-time​

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Combined power of Kafka and Flink

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Data-hub native, data-mesh ready​​

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Integrated governance and privacy​

Industrialisation

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

Industrialisation

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Scalable infrastructure ​​

Digazu-Multi-cloud-color

Multi-cloud-ready​​

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Sustainable through time​​

Digazu-Sustainable-through-time-color

Enterprise-wide management​​

Articles

Digazu for the automotive industry

Read about the 2022 latest trends and use cases shaping the new automotive industry.
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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.
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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.
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