December 2016 Summaries

Over October and November, Redis conducted two surveys regarding its usage. One survey was for Redis customers, while the other was open to all users. Both surveys yielded similar results but were divided into separate blog posts to distinguish between customer input and general user feedback. The surveys revealed an increase in use cases such as job and queue management, real-time analytics, high-speed transactions, notifications, distributed lock, and machine learning. Additionally, Redis is being used across various industries, including IoT, bots, meteorology, and environmental data. About 67% of survey respondents use Redis as their primary datastore for some of their data, and around 90% plan to increase their usage in the future.

Over October and November, Redis conducted two surveys regarding its usage. The TechValidate survey had a response rate of 12% from 1600 out of 6700+ Redis customers. High availability was the most valued feature by 78% of respondents, followed closely by stable high performance and seamless scaling/clustering. Many users reported significant benefits such as reduced downtime (70-90%), improved performance (50-70%), cost savings (30-50%), and faster time to market (30-50%). Additionally, 71% of customers use Redis as a primary datastore. The survey also revealed that increased usage is driven by Redis' ability to scale with application needs. Use cases span across various applications such as job & queue, high speed transactions, content caching, user session storage, real-time analytics, data ingest, and more. Mobile applications and e-commerce are leading favorites for solutions employing Redis, while emerging uses include fraud detection and IoT. Over 56% of customers would like to move additional data into Redis from RDBMSs like Oracle, Microsoft SQL Server, MySQL.

The Redis community recently released the first release candidate of version 4, which includes a new modules API that allows developers to create custom modules for Redis. The community also hosted a Redis Modules Hackathon, where participants were invited to submit their own module ideas and compete for prizes. A panel of five judges evaluated the submissions based on originality, impact, potential, design, and quality. After tallying the scores, the top three winners were announced: Brandur Leach for his redis-cell rate limiter module, Noam Sagi for his RedisModuleTimeSeries time series data module, and Roi Lipman for his Redis Graph module. The community also recognized several other notable submissions, including Nick Chadwick's Redis Zstandard Compressed Values module and Doron Sadeh's Pyrecks Python kernel execution module. The event was a success, thanks to the hard work of developer teams, the HackerEarth staff, and the Redis team.