CloudButton Serverless Data Analytics Platform


Our main goal is to create CloudButton: a Serverless Data Analytics Platform. CloudButton will democratize big data by overly simplifying the overall life cycle and programming model thanks to serverless technologies. To demonstrate the impact of the project, we target two settings with large data volumes: bioinformatics (genomics, metabolomics) and geospatial data (LiDAR, satellital).

High Performance Serverless Run-time

We will create the first FaaS compute run-time for Big Data analytics, overcoming the current limitations of existing serverless platforms.

Mutable Shared Data Middleware for Serverless Computing

We will create Distributed Mutable Data Structures leveraging RedHat Infinispan In-Memory Data Grid. Our middleware will provide language-level constructs for data persistence, dependability and concurrency control to serverless functions.

CloudButton Toolkit

Serverless Cloud Programming Abstractions that can express a wide range of existing data-intensive applications with minimal changes. We will develop new tools and methodologies to port existing data-intensive applications from the HPC, data analytics and machine learning domains to the CloudButton toolkit.


Use cases


Serverless technologies can overcome scaling limitations of research centres computational resources, improving the scalability and productivity when processing large datasets.


Expand the analysis of metabolomics raw data and boost external access and efficient re-use of open data.


Conduct geospatial analyses in order to increase productivity, scalability and performance of relevant environmental applications using open access LiDAR and satellite data.



D1.1 Public Project Website



The CloudButton consortium is a well-balanced team of industrial and academic partners:

CloudButton contributes to Big Data Value Public-Private Partnership activities:

BDVA Public-Private Partnership