When you are deploying a distributed cache to host your company’s mission-critical data, you need a product on which you can depend.

Unlike Redis, ScaleOut StateServer was designed from the ground up to host your mission-critical data with fast, scalable access and integrated high availability. When compared to Redis, here’s what sets ScaleOut StateServer apart:

  • Integrated distributed caching architecture — no need for a separate third-party add-on pack to handle sharding, scaling, and high availability
  • The industry’s leading ease of use with full GUI management, automatic configuration and dynamic load-balancing
  • Fully coherent data storage and access using patented quorum-based data replication so that cache updates are never lost
  • Integrated, shard-aware client support in Java, C#, and C++ with built-in, client-side caching.
  • WAN-based data replication (using optional ScaleOut GeoServer®) that automatically scales with your caching cluster
  • Advanced features for data analytics, including fully distributed MapReduce, and cluster-aware, server-side scripting in Java and C# with automatic code shipping

 

Trusted by Enterprises
ScaleOut StateServer is trusted by leading companies in a wide range of markets, including airlines, ecommerce, telecommunications, and financial services.
Enterprise-Grade Support
ScaleOut Software offers optional, 24×7 support and has been ensuring our customers’ success since 2005.
Industry-Leading Architecture
Developed by experts in parallel computing, ScaleOut StateServer — unlike Redis — was designed as an integrated, distributed caching and computing platform.
Evaluation License
Download a 30-day evaluation license for your specific configuration or talk to our sales staff to structure an evaluation that meets your needs.

 

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What sets ScaleOut apart from Redis?

The answer is simple — architecture. Redis originally was designed to replace a SQL database with a single server, in-memory, data structure store to cache data generated by a local website. Its single process, single threaded design focused on combining data structure operations with an in-memory cache. However, the key features required by a distributed cache had to be bolted on later by third parties.

In contrast, ScaleOut StateServer was conceived as a scalable, distributed, in-memory data store with integrated data consistency, sharding, scaling, and high availability. This led to a robust, highly reliable architecture that incorporates the latest industry-leading technology and minimizes management costs.

Take a look at how ScaleOut and Redis compare:

ScaleOut

Redis

Why It’s Important

Integrated architecture

Simplifies management; maximizes performance

Self-discovery & configuration

Simplifies management; auto. scales & recovers

Multicore support

Maximizes performance; reduces complexity

Sequential consistency

Required to host mission-critical information

Quorum-based replication

Ensures serving latest data with max. performance

Split-brain detection & recovery

Avoids serving duplicate or stale data

Adaptive, scalable heartbeating

Adapts to high latency; minimizes overhead

Coherent client cache

Simplifies application design; avoids stale data

Integrated client sharding

Simplifies apps. & management; enables interop.

Centralized GUI mgt.

Lowers management costs

Server-side Java, C# scripting

Allows distributed data structures; protects server

Auto-scaling WAN replication

Simplifies management; delivers best performance

Integrated parallel computing

Enables real-time analysis of grid data (e.g., MapRed)

Integrated ReactiveX operations

Enables scalable stream processing

In production use for 12+ years

Ensures reliability for mission-critical applications

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