Contact Us

How emStream works?

emStream combines powerful data aggregation features with ability to mine sentiments using a proprietary Natural Language Processing. Built for scale, emStream is used across a wide variety of AI driven use cases which require large volume data processing for actionable insights.


Architecture

emStream is architected using a modular architecture with three main components - data aggregators, processing engine and visualization. With support for data ingestion across a range of data sources, emSigner's core engine runs on a Apache Spark cluster for Natural Language Processing and Predictive Analytics tasks

Computed data is stored in a NOSQL data store allowing visualizations to be done on Tableau or other popular visualization tools.



Download Architecture
emStream Architecture

Social Graphs

emStream allows advanced graphing capabilities by integrating with leading graph computation technologies such as Apache Spark GraphX, SigmaJS to visually represent relationships and calculate graph densities, shortest paths, network centrality.

Social Graph

Providing Intelligence Without Limits

Built upon a Big Data Layer, emStream is eMudhra's Analytics stack which can be used to address bespoke requirements in Sentiment, Fraud, and Risk analytics. With support for data ingestion across a range of data sources, emStream's core engine runs on an advanced, in-memory Apache Spark computing engine that delivers 100x the performance of Apache Hadoop for your workloads. This enables it to seamlessly run Natural Language Processing and Predictive Analytics tasks on unstructured, semi-structured and structured data, and deliver business intelligence with lightning speed.

Watch Our Video
emStream

Ready to derive actionable insights from your data?

Request a Demo