Sprngy Product Flavors

Product Capabilities

Sprngy’s product capabilities make it ideal to handle all use cases across the data life cycle management. For example:

• Data Curation:

  • Importing data from disparate sources and defining treatment (rules for cleansing, transforming, filtering, quality check and governance) to data to build a single source of truth using data lake technology

  • Defining metadata blueprint with Sprngy’s ‘Meta Model’

  • Creating a pristine data layer with Sprngy’s dynamic data processing engine

• Data Correlation:

  • Defining relationship between data entities with Sprngy’s intuitive user interface

  • Creating business-ready data layer primed for rapid access at scale

• Data Analysis:

  • Creating and sharing visualizations with Sprngy’s in-built visualization tool

  • Creating ad-hoc queries using the query browser available in the visualization tool

  • Auditing and monitoring the platform with in-built audit visualizations.

  • Connecting a visualization tool and/or a querying tool of your choice

• Making Predictions:

  • Supporting machine learning model development and testing

Product Flavors

Even though being a Unified Data Analytics Platform, the Sprngy architecture is componentized to support specific, granular use cases. This enables Sprngy to be offered in product flavors such as:

• High Performance Elastic Layer (HPEL): All-in product features covering entire data life cycle management i.e. Ingestion, Curation, Correlation, Analysis, Visualization and Advanced Analytics

• High Performance Query Layer (HPQL): Provides Query and Visualization features with the ability to connect to customer’s business data layer.

Recommended Previous Reading

Little bit about Sprngy...

Sprngy Features

Sprngy Architecture

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Getting started with Sprngy

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