Next Generation Graph Computing
Julius is an auto-scaling, low code and visual graph computing solution that allows firms to quickly build transparent and adaptable data and analytical pipelines. Using Julius, firms can create sophisticated data and analytics applications and the supporting infrastructure in a fraction of the time and cost versus traditional methods. In this series of blog posts, we discuss the challenges and difficulties in building enterprise systems, and how JuliusTech’s innovative graph computing technology can speedup the entire life cycle of building and supporting enterprise systems.
What’s wrong with functions and how graphs will bury them
The primary purpose of functions is to support encapsulation and composition, which are critical ingredients in modern software engineering. However, functions only offers a half-baked solution to both.
Why Graph Computing is STELLAR
Graph computing solves the most common and costly problems in enterprise systems once and for all, including: scalability, transparency, explainability, lineage, adaptability and reproducibility.
Introducing Graph Programming and Graph Runtime
In a previous blog, we made the observation that the mainstream programming languages and their stack driven state machine (SDSM) runtimes don’t support predictive optimization.
Why are enterprise systems so terrible?
Large enterprise IT systems have a bad reputation for being overly complex, costly to maintain, and opaque/inflexible. In my 15-year career in financial services, I have yet to come across anyone