Today we’re pleased to announce general availability of Heroku Redis with a number of new features and a more robust developer experience. By giving developers a different data management primitive, we’re helping them meet the needs of building modern, scalable applications. The classic example of using multiple data stores in an application is the e-commerce site that stores its valuable financial information in a relational database while the user session tokens are saved in a key-value store like Redis. This is one of the use cases where Redis has proven to be instrumental in solving problems like caching, queuing and session storage, just to name a few.

In addition to making Heroku...

Developers increasingly need a variety of datastores for their projects -- no one database can serve all the needs of a modern, scalable application. For example, an e-commerce app might store its valuable transaction data in a relational database while user session information is stored in a key-value store because it changes often and needs to be accessed quickly. This is a common pattern across many app types, and the need for a key-value store is especially acute. Today, we are pleased to announce the beta of Heroku Redis, joining Heroku Postgres as our second data service.

We have deep experience with Redis; internally at Heroku, we use Redis extensively as a queue, as a cache, and...