Redis Labs Empowers Real time Big Data Insights for Apache Spark Users

MOUNTAIN VIEW, CA--(Marketwired - Jun 7, 2016) -  Redis Labs, the home of Redis, the world's most popular in-memory NoSQL database, today announced it has integrated Redis Cloud (Redis Labs' fully managed enterprise Redis service) with Databricks' just-in-time data platform powered by open source Apache Spark. The integration allows Databricks' cloud users using Redis Cloud to accelerate their Spark processes and SQL queries with enterprise grade Redis from Redis Labs. The bi-directional cloud integration allows Redis Cloud's 50,000+ users to both accelerate their Spark processes and SQL queries, and instantly run analytic processing on Redis data with the Databricks just-in-time data platform.

"Two of the most important and growing open source projects, Spark and Redis are collaborating to make the next generation of big data analysis real-time for instantaneous automated business decision making," said Yiftach Shoolman, co-founder and CTO at Redis Labs. "Analytics can now evolve from post-facto to inline and our joint customers can now gain insights from their data at lightning fast speeds."

Using the power of Spark integrated with the real-time high performance of Redis, Redis Cloud users can use Spark for iterative processing of their data in Redis. Additionally, Databricks users can use Redis Cloud as a fast serving layer and accelerator for Spark processes and queries. Joint use cases for Spark and Redis include examples such as:

• Using Redis with Spark SQL to serve up blazing fast responses to analytic queries;
• Using Redis with Spark DataFrames for Text Analysis;
• Using Redis to accelerate Machine Learning Models.

"Real-time is the name of the game for data scientists and developers in today's complex big data web. This integration will enable data-minded professionals to continue using existing standard SQL-based analytics tools while enjoying the speeds of the two fastest in-memory processing technologies," said Reynold Xin, cofounder and chief architect at Databricks.

The bi-directional integration of Redis Cloud with the Databricks just-in-time data platform is available today. An online demo of the integration can be viewed here. On June 6-8, Redis Labs will be at Spark Summit 2016 in San Francisco at booth #501.

Learn more with the following resources:
Redis and Spark: https://redislabs.com/solutions/spark-and-redis
Redis Labs and Databricks: https://redislabs.com/solutions/redis-labs-and-databricks
Redis Labs at Spark Summit: https://redislabs.com/redis-labs-events
Getting Started with Redis Cloud on Databricks: https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/3203180648048948/3048432614842146/4807059275601431/latest.html
Blog post: https://redislabs.com/blog/redis-cloud-integrates-with-databricks-spark#.V1XEY5ErKM9

About Redis Labs
Redis Labs is the open source home and commercial provider of Redis, a database benchmarked as the world's fastest. Gartner has named the company as a Leader in its 2015 ODBMS Magic Quadrant. Redis Labs' software and service solutions power cutting edge applications with blazing fast enterprise-class Redis and are trusted by thousands of customers for high performance, seamless scalability, true high availability and best-in-class expertise. These solutions enhance popular Redis use cases such as real-time analytics, fast high-volume transactions, in-app social functionality, application job management, queuing and caching.

Redis is ranked the #1 NoSQL (and #2 database) in User Satisfaction and Market Presence by G2 Crowd, the top database technology on Docker by Datadog, the most popular NoSQL database in containers by DevOps.com and ClusterHQ, the #1 NoSQL among Top 10 Data Stores by Stackshare and both the fastest growing database since January 2013 and one of the top three NoSQL databases by DB-engines.