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WHAT IS GRAPHENUS?

Graphenus is a Big Data distribution, which manages and controls end-to-end the data lifecycle: from infrastructure management and monitoring to data storage, analysis and governance.

Multipurpose

deployment-orchestrating

Graphenus has a multitude of out-of-the-box functionality, facilitating the implementation of different use cases, including analytics and ML.

Open

upload

Graphenus integrates and secures opensource tools 

and analytical data processing and data analytics

Flexible

diana

Graphenus allows you to add/remove components by means of mechanisms 

plug&play 

Scalable

pile-squares

Graphenus is 

fully-containerised, allowing scalability of services according to different needs

Our distribution is born with a clear purpose: to provide maximum security and flexibility to respond to specific business needs.

Aspects

Graphenus is a multi-purpose, open, flexible, scalable and secure data platform that facilitates analytics and data governance across the organisation.

differentials

Graphenus is a multi-purpose, open, flexible, scalable and secure data platform that facilitates analytics and data governance across the organisation.

Aspects

differentials

Security

Security

Graphenus' security architecture is extremely robust. The commitment to security is total.
White box
White box
All components used and adaptations made are transparent. Thanks to the Graphenus architecture, adding or removing components is really easy.
Best of breed
tools
Best of breed
tools
Graphenus is composed of the best open source tools. The product team is continuously analysing new tools and updates.
Roadmap
flexible
Roadmap
flexible

Graphenus has an aggressive but flexible evolutionary roadmap, able to prioritise the specific needs of a particular customer.

Focus
pragmatic
Focus
pragmatic
The development of Graphenus follows a totally pragmatic approach, avoiding approaches or trends that we consider difficult to apply.

Competitiveness

Competitiveness

We believe that, until now, the lack of choice has resulted in a market that is not very competitive, with much room for improvement.

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20 open source tools,
a comprehensive solution

Access to different data sources, including in real time.

TRINO | SPARK | KAFKA

High-availability distributed storage.

HDFS

Container management.

DOCKER SWARM

Distributed batch and streaming data processing.

YARN | SPARK

Process planner

AIRFLOW

Data representation and SQL queries.

HIVE | TRINO

Build notebooks for computing, data science or machine learning.

JUPYTER NOTEBOOKS

User interface for interacting with the tools of the distro.

HUE

Monitoring of the use and operation of all services.

CADVISOR , LOKI , PROMETHEUS , GRAFANA

Identification, authentication and authorisation of users.

FREEIPA | KERBEROS | KNOX | KEYCLOAK | RANGER | RANGER

Data governance throughout the information processing cycle

Linkedin DataHub