REAL-TIME COMPUTING AT ANY SCALE
Say goodbye to distributed compute middleware
An Operating System Designed to be Distributed
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What Others Are Saying About Hadean
"... might have just leveled the playing field for startups to compete against the biggest companies, allowing them to side-step the massive engineering costs required to get an algorithm to work on big data at scale." Read the full coverage...
"A new era is emerging: one in which everyone has immediate access to all human knowledge and to real-time information from all over the planet, along with unlimited computational resources."
Professor David May FREng FRS
University of Bristol
Latest from Our Blog
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One of the most interesting gaming projects we’ve recently seen is Soulbound’s "Chronicles of Elyria", an in-development MMORPG with a focus on emergent game design and a persistent game world. But what exactly does it take to make this vision a reality? And what are the tools that studios need to build these games of the future?
There have been a number of key developments made over the last decade that have intensified the progress made in the field of AI - advancements made as AI increasingly overlaps with the field of simulation. As AI matures, the need to develop and train these systems in increasingly immersive and complex scenarios becomes a primary concern for progress.
The complexity of big data frameworks like Hadoop and Spark make them less productive tools than their small data counterparts: Python, R and Excel. In our experience, what might take an hour to implement upon megabytes of data in Python can easily take man months or even man years to implement upon terabytes of data with Spark. We're exploring what a simple and predictable big data library looks like, and how close it can get to the productivity of “small data” tools.