Solutions delivering competitive advantage and differentiation through faster business insight
Internet of Things
Managing a collection of objects like a large fleet of vehicles in near real-time requires the ability to ingest, transform, analyze, and report on hundreds of millions of records per day. Each record contains data about the object’s position, resource consumption, speed, etc. EsgynDB provides a solution that allows the latest incoming records to be merged with the pool of historical data to allow real-time management and predictive analysis based on previous experience.
Telecommunication companies build their businesses around a system to ingest, analyze and make decisions using transaction records generated from hundreds of millions of users around the clock and across the country. EsgynDB provides a solution at scale combining millions of small transactions from the phone’s logs and transaction records, giving analytic capabilities to deliver trends in almost real time with permanent retention of all critical data.
Hadoop provides efficient storage and access capabilities for log files containing customers’ action records. A relational database provides efficient structured tables to manage customers’ usage queries. This classic architecture used to require separate storage and access, duplicating data, hardware, and operational cost. Use EsgynDB to get these two different applications on the same data lake, accessible for structured, semi-structured and unstructured interfaces.