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Redis Labs Announces Active-Active Geo Distribution

By   /  November 29, 2017  /  No Comments

by Angela Guess

A new press release states, “Redis Labs, the home of Redis and provider of Redis Enterprise, today announced that Redis Enterprise is now available with Active-Active geographic distribution. The use of cutting-edge CRDT (Conflict Free Replicated Datatypes) technology allows Redis databases to be deployed globally yet provide local latencies for writes and reads, while simplifying resolution of conflicts and enabling strong eventual consistency for datasets. Active-Active geo distribution using CRDTs in Redis Enterprise advances Redis Labs’ mission to support instant responses for businesses that run fast. The built-in smart conflict resolution based on CRDTs, ensures that applications can read and write operations on the same dataset and globally distributed replicas all converge to the same state.  Databases that rely on standard Active-Passive replication impose WAN latencies during read or writes, since all writes have to be directed to a single replica.”

The release goes on, “Non-CRDT based Active-Active databases require application developers to manage the complexity of handling conflicts or consistency issues that arise from writes to the same dataset from different replicas. Benefits of CRDT-based Active-Active architectures include: (1) Guaranteed local latencies for both read and write operations, utilizing consensus free protocols to maintain consistency. (2) Built-in conflict resolution for simple and complex data-types that simplifies app development and global deployment. (3) Streamlined implementation of modern app scenarios, such as distributed session management, distributed counters, multi-user metering, and many more. (4) Strong eventual consistency delivers converging consistent views of the data, effortlessly. (5) Safer cross-geo failover, with automatic, intelligent sync between active databases, that avoids incorrect overwrites and loss of state.”

Read more at PR Newswire.

Photo credit: Redis Labs

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