Background element

Edge Cloud Data Science and Machine Learning platform

Fast prototyping, deployment, execution and monitoring of both stream and batch AI-based big data analytics (BDA) applications.
Alida Workflow
Features

Boosting Analytics Up

Complex scenarios made simple

BDA Service Catalog

All phases covered: ingestion, preparation, ML/DL analysis and data publishing. Available through a Web UI and through specific APIs.

BDA Workflows

Web-based graphical interface (GUI) for both stream and batch BDA service workflow design. The execution, scheduling and monitoring can be managed also through specific APIs.

BDA Applications

Bundles including the following assets: workflow, datasets and ML/DL models. Deployable within third-party instances through export functionality.

Data Assets

Web-based UI section to manage datasets and ML/DL models by means of popular storage frameworks and technologies such as HDFS, Presto, Redis, ElasticSearch, Hive etc.

Solutions

Use it as you want

Cloud

Everything you want in cloud

On-Premise

Everything you need at home

Hybrid

Design in cloud, run at home

Background element Background element
Use Cases

Alida in a Nutshell

Alida multi-purpose architecture makes it suitable to many different scenarios and use cases.

Alida Overview Alida Overview Described Alida ML Ops Alida Federated Machine Learning Alida Cloud to Edge
Technologies

Frameworks and Technologies

Alida apps are implemented with the most advanced technologies to perform analytics

Flower logo
Keras logo
Kubernetes logo
TensorFlow logo
MinIO logo
Argo logo
Apache Kafka logo
Apache Spark logo
Apache Cassandra logo
Redis logo
Projects

The projects we took part to

Alida keeps getting involved in new projects everyday. Here are some of them.