Sprngy Features

Background

Data and Analytics industry has a lot of good solutions - for example platforms that can do data warehousing well, platforms that do data processing well and platforms that specialize in visualization but these platform accentuate silos when put into business use. Additionally, while making all of these work together for going from data to analytics, there are significant overheads that customer organizations have to incur. These overheads then become an example of technology being an end to itself.

Features' Overview

With Sprngy’s feature set, it is easy to go from raw data to insights quickly, without worrying about any of the technology overheads. Some features Sprngy provides are:

• Connector Ecosystem

• Low Code Data Life cycle Management

• High performance Data Stores

• High Performance Query Layer

• Intuitive User Interface

• Scale-as-you-go with public cloud

• Auditing and monitoring features for each stage of data life cycle

• Inbuilt visualizations for data ingestion, balance, audit, control, quality and governance

• Business Intelligence Capabilities

• Machine learning for advanced analytics

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