Extending the Value of Redis Enterprise with Real-Time Search

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Presented by

Eric Silva, Sr. Product Marketing Manager, Redis and Ankit Choudhary, Software Development Engineer lI, HackerRank

About this talk

Delivering high-performing applications and analytics is a challenging task, especially as databases scale and users are geo-dispersed. Database index and search can be slow and complex to manage as application and business needs change: - Disk-based SQL and NoSQL databases can suffer search and query bottlenecks negatively impacting customer experience and loyalty - Bolt-on search engines increase complexity due to software integration requirements Join a fireside chat with HackerRank’s senior software engineer, Ankit Choudhary, who’ll explain how HackerRank uses Redis Enterprise's real-time data platform alongside their monolithic relational database for rapid query results. Learn how HackerRank uses Redis Enterprise to scale its leaderboard queries to support over 11 million online users. Key takeaways that you will learn in this session include: - Demo of Redis real-time search - Sample applications built using Redis search - How HackerRank uses Redis and JSON documents to deliver fast query results
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Redis makes apps faster, by creating a data foundation for a real-time world. It is the driving force behind Open-Source Redis, the world’s most loved in-memory database, and commercial provider of Redis Enterprise, a real time data platform. Redis Enterprise powers real-time services for over 8,000 organizations globally. It builds upon the unmatched simplicity and speed of Open-Source Redis along with an enterprise grade data platform that offers robustness of modern data models, management, automation, performance and resiliency to deploy and run modern applications at any scale from anywhere on the planet.