What is DataSonar?

DataSonar is a Big Data and Machine Learning platform with a groundbreaking technology. With a data model that delivers great performance levels, it’s also completely end-to-end, thus greatly reducing the main costs and resource requirements associated with the entire analytics’ process. With DataSonar, companies with demanding, and often complex, analytics needs, will see a boost in productivity, as well as a decrease in software costs.

What makes us Unique

New Data Model

DataSonar’s model is based on a logical configuration paradigm, standardizes any data type and combines the best of time-series, relational and graph databases.

Truly Full-Stack

It’s a truly end-to-end solution, spanning from multi-node data storage, real-time data stream analyses and embedded Machine Learning, to business dashboards.

Hybrid Architecture

Real-time data is immediately integrated in the analytics process to enrich all the insights extracted from the historical sets.

Some Great Features

Data Discovery


It’s one of DataSonar’s modules, with the main purpose of allowing non-IT-experts to take advantage of our capabilities in an interactive and iterative approach.

Ready-to-use Machine Learning building blocks are available to tackle any kind of business problem, and dashboards can be used to graphically visualize unknown patterns.

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Machine Learning


DataSonar’s middle layer. It creates and runs highly-complex prediction models, and includes on-the-fly algorithms for quick and democratized analysis.

Any user can have full control over the data mining process, which is interfaced and controlled through dashboards.

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Distributed Computing Model


Designed from scratch for very fast writing and retrieving, the distributed-computing model provides unprecedented scalability and ability to write and analyze huge data volumes.

It includes a lean, actor-based storage strategy, it is able to deliver real-time business KPI’s and saves considerable amounts of time by delaying the computation until it is actually needed.

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Get started with DataSonar.

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