![]() The Awesome Rust repo is a great resource to check out the length and breadth of Open Source Rust projects. Ecosystem: The Rust ecosystem is thriving with many new projects now written in Rust.This helps build systems that have better control over the host machine and scale better. Low level access: While Rust is a high level language, it offers great deal of control over low level contructs like memory allocation (heap vs stack), multi-threading, concurrency.Static binaries are key to the success of Go and Rust has done great to follow similar approach. This entails simpler, easy to build containers. You may be thinking, what is cloud-native about static binaries - well, static binaries mean no external dependencies. Cloud-native approach: Rust has its quirks around static vs dynamic binding - but if the project has pure Rust dependencies, Rust binaries are statically linked and even if there are external C/C++ dependencies (native) in Rust, there is a simple approach to build static binaries.The memory availability and usage is transparent in systems written in Rust which forms a strong base for scalable, easy to manage and run platform. With Rust's Memory Ownership and no GC model, things become degrees of magnitude simpler. Even without JVMs, Garbage collecting languages and hence systems built with these languages, face challenges of random slowdowns as GC kicks in. The overhead of configuring and optimising JVM memory parameters in Containers is one of the biggest operational and cost challenge. Memory model: Traditional Data platforms almost always needed JVMs to run. ![]() Here are some specific points on why Rust is the language of choice for building a new Data platform in 2022. With functional paradigm support, Rust is even more attractive to build a reliable, performant system. Why Rustįor systems programmers, Rust seems to be the ideal language - it has the Performance and Control like C/C++, with the memory and currency Safety of Haskell. In this post we'll take a look at why Rust holds a promise for the modern Big Data era and also go over few of the new products written in Rust that are already out there. ![]() Latest advances in CPU, Memory, Networking and Programming Languages, combined with huge uptick in raw data, has lead to a new wave of big data tools in modern languages like Go and Rust. Java is synonymous with last generation of Big Data tools and technologies. ![]()
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