Intervu vs DataRobot

Intervu is your ultimate platform to perfect system design interview skills. With Intervu, candidates can engage in infinite interview simulations that closely mimic real-life scenarios. Each session is packed with comprehensive feedback to help users tackle system design challenges more effectively. Users can sign up and join over a thousand others who trust Intervu for their interview preparations.

The platform offers a realistic interview atmosphere, where users can choose their interviewers based on focus areas or target companies. Intervu also allows candidates to practice top system design problems and the most frequently asked questions in a real interview style. There's even an option to read influential technical papers, like Google's Bigtable, and test your understanding with an interview simulation. For those looking to delve into engineering insights, Intervu combines reading the top engineering blogs with subsequent interviews to solidify your knowledge.

A unique feature is the integrated whiteboard, where users can draw architecture diagrams during their interview simulations. The AI-driven platform, trained on millions of interview data points, offers a deep, high-quality experience. Progress tracking is easy with the leaderboard, and detailed feedback from the AI will ensure mistakes aren't repeated.

Witness testimonials from users like Amit Chabbra of Ex-Uber, Vineet Kumar from Meta (formerly Google), and Paritosh from Amazon, who share how Intervu has significantly improved their system design proficiency, offering an experience close to real interviews and providing precise feedback.

Take the first step towards acing your system design interviews by practicing with Intervu today!

DataRobot offers the only full-lifecycle AI platform that has broad ecosystem interoperability and a world-class team of applied AI experts to help you envision what’s possible with AI, and achieve it.

DataRobot is an AI cloud-based platform that allows users to build and deploy machine learning models. It provides a platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.