Deploy massive compute capabilities to enhance workflows and accelerate time to value
Beat the Market with Unlimited Compute
Financial institutions have recognised the benefits of cloud-native applications to deliver scale and agility, and as the speed and volume of data has increased, organisations are looking for innovative ways to further harness the power of the cloud to get ahead of the competition.
Hadean’s big data processing library, Mesh is one such application that aids Financial institutions to realise the power of massively distributed computing to optimise big data workflows. It requires no specialist engineering or scaling expertise – enabling Financial institutions to put the handling of big data into the hands of a single data scientist or engineer, similarly to how a ‘small data’ problem is currently solved using tools like Python or SQL. It eliminates the need to build, manage and scale big data pipelines that are traditionally built on ecosystems such as Hadoop and Spark.
The Old Way
Traditional high performance computing relies on excessive amounts of middleware, resulting in complex development, expensive ops and high failure rates.
The Hadean Way
Hadean removes all bottlenecks during runtime and allows full-scalability of an infrastructure, eliminating the need for containerisation and middleware.
Massive Power and Scale
By leveraging the Hadean Platform, Financial institutions can apply raw compute power to enhance workflows and accelerate time to value across their business
Overcome Technical Talent and Skills Gaps
Hadean eliminates the reliance on distributed systems expertise and DevOps tooling, acting as a force multiplier across engineering teams to build applications of unparalleled levels of performance, reliability and scale
Process Big Data Like Small Data
Mesh puts the handling of Big Data back into the hands of a single data scientist or engineer, similarly to how a “small data” problem is currently using tools like Python or SQL
Unbounded Financial Simulations
Aether Engine enables financial institutions to harness the power of massive scale simulations to model future market scenarios with unparalleled realism and inform risk management
Monte Carlo Simulation
A financial services organisation wanted an alternative means to perform a risk analysis across a large portfolio. Mesh was used to run a Monte Carlo simulation to complete a VaR on a financial portfolio.