THE ACCELERATED DATA SCIENCE
PLATFORM
Shapelets provides a range of features that enables you to make the most of platform data in an easy and simple way.
OPEN PLATFORM: Open, Plug & Play
OPEN PLATFORM: Open, Plug & Play
From data collection, storage, analysis and data visualisation, Shapelets integrates seamlessly with streams of data, data at rest, BI tools and MS Office.
Bring your own data
Bring your own data
…or use our native storage
By using Shapelets Storage, you can reduce the complexity of your production environment, by decommissioning existing servers, licenses and additional production costs and resulting in a better ROI model.
When data storage is natively provided by Shapelets, external systems can still access the data either through API calls, Shapelets Flow or directly through a standard SQL-99 interface.
…or use our native storage
By using Shapelets Storage, you can reduce the complexity of your production environment, by decommissioning existing servers, licenses and additional production costs and resulting in a better ROI model.
When data storage is natively provided by Shapelets, external systems can still access the data either through API calls, Shapelets Flow or directly through a standard SQL-99 interface.
Shapelets Distributed Core
Shapelets’ memory centric cluster works alongside different layers. The inner core is a subset of the nodes that hold durable data and the outer layers can appear and disappear on demand. This architecture minimises rebalancing data operations whilst giving the ability to scale dynamically the number of computational and streaming nodes.
The Shapelets Machine Learning Engine executes algorithms moving the computation to the data. When this is not possible, our engine assign tasks to make the best of the resources available in a parallel fashion.
Shapelets Distributed Core
Shapelets’ memory centric cluster works alongside different layers. The inner core is a subset of the nodes that hold durable data and the outer layers can appear and disappear on demand. This architecture minimises rebalancing data operations whilst giving the ability to scale dynamically the number of computational and streaming nodes.
The Shapelets Machine Learning Engine executes algorithms moving the computation to the data. When this is not possible, our engine assign tasks to make the best of the resources available in a parallel fashion.
Deliver your results:
data apps, Business Intelligence and Microsoft Office Integration
Business users, analysts and data scientists can use standard BI/analytics tools such as Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel.
Our data apps can also export visualizations that can be hosted within Microsoft PowerPoint and Excel, making your analysis portable in your presentations.
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Deliver your results:
data apps, BI and Microsoft Office Integration
Business users, analysts and data scientists can use standard BI/analytics tools such as Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel.
Our data apps can also export visualizations that can be hosted within Microsoft PowerPoint and Excel, making your analysis portable in your presentations.
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