Redis Labs Delivers the Fastest Multi-Model Database on Intel® Optane™ DC Persistent Memory

Redis Enterprise Provides Developer Flexibility to Process Massive Data Sets Quickly and Affordably 

Mountain View, Calif., January 10, 2019Redis Labs, the home of Redis and provider of Redis Enterprise, announced today that Redis Enterprise is now available for Intel® Optane™ DC persistent memory across multiple cloud services or as downloadable software for supported hardware from companies participating in Intel’s hardware beta program.

Redis Enterprise gives developers the flexibility to choose between the two modes of operation offered by Intel Optane DC persistent memory. Using Memory Mode, Redis Enterprise-powered applications can achieve comparable performance to DRAM with significant cost benefits. Developers can achieve even greater cost savings using AppDirect mode with Redis Enterprise, while still delivering significantly faster performance compared to NVMe.

The combination of Redis Enterprise and Intel Optane DC persistent memory enables customers to scale to multi-terabytes of data at a much more attractive price point than alternate solutions. Redis Enterprise’s multi-model capabilities which encompass core data-structures (including the new Redis Streams) and modules (ReJSONRedisGraph, and RediSearch) all perform at a sub-millisecond response time for any operation with persistent memory. Additionally, Redis Enterprise can be deployed in an active-active (CRDT-based) manner across geo-regions, while keeping a similar cost structure of much slower databases.

“We’ve worked closely with Intel’s engineering teams to address real-world challenges we see across more than 750,000 Redis Enterprise databases under our management,” said Yiftach Shoolman, co-founder and CTO at Redis Labs. “Traditionally, Redis users have split their dataset across multiple databases to avoid the relatively high deployment cost associated with high memory (DRAM) capacity servers. Redis Enterprise in combination with Intel Optane DC persistent memory allows developers to simplify their database deployment by keeping the entire dataset in a single multi-model database—Redis—and keep the cost structure similar to disk-based databases, while enjoying sub-millisecond response time at any scale for simple and complex use cases.”

“Intel and Redis Labs have collaborated in the development of next-generation memory technologies beginning with NVMe to persistent memory today,” said Alper Ilkbahar, Vice President and General Manager, Datacenter Memory and Storage Solutions at Intel. “With their deep technical knowledge of customers’ high-performance data tier architecture, Redis Labs has optimized Redis Enterprise to leverage the benefits of Intel Optane DC persistent memory to meet the needs of our customers.”

Additional Resources

For more information about the collaboration between the companies and how persistent memory will transform the database market please visit here.

Please contact for questions about Redis Enterprise availability on Intel Optane DC persistent memory.

About Redis Labs

Modern businesses depend on the power of real-time data. With Redis Labs, organizations deliver instant experiences in a highly reliable and scalable manner. Redis Labs is the home of Redis, the world’s most popular in-memory database, and commercial provider of Redis Enterprise that delivers superior performance, matchless reliability and unparalleled flexibility for personalization, machine learning, IoT, search, ecommerce, social and metering solutions worldwide.

Redis Labs, ranked as a leader in top analyst reports on NoSQL, in-memory databases, operational databases, and database-as-a-service, is trusted by seven Fortune 10 companies, three of the four credit card issuers, three of the top five communication companies, three of the top five healthcare companies, six of the top eight technology companies, and four of the top seven retailers.

Redis has been voted the most loved database, rated the most popular database container, and #1 cloud database.

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