Blazingly Fast Data Access
+ Simple, Yet Powerful Compute Engine
+ Streaming Analytics with Digital Twins
+ Industry-Leading Ease of Use
The ScaleOut Product Suite offers a full range of products for in-memory data storage and computing, stateful stream-processing with the digital twin model, disaster recovery, and global data integration. Below are our five core products available for download, along with additional product options.
By using a fast, C-based implementation of its server architecture, ScaleOut delivers native performance on both Linux-based and Windows operating systems and in mixed configurations.
ScaleOut’s products are available in public clouds including Amazon Web Services and Windows Azure. ScaleOut’s management tools make cloud deployment easy and fast.
Accelerate Applications with Fast, Customizable In-Memory Data Storage
Scale your application’s performance with ScaleOut StateServer, a production-proven, in-memory data grid and distributed cache for both Linux and Windows. It delivers fast data access with industry-leading performance and ease-of-use, integrated high availability, powerful APIs, and comprehensive management tools. Deployable both on-premises and in public clouds, ScaleOut StateServer incorporates two decades of technology development and has been put to the test across a wide variety of industries and use cases.
ScaleOut StateServer includes new, unique features for deploying application code to the in-memory data grid. Now you can interpret cached objects as strongly typed data structures accessed using custom client APIs. You can also connect to messaging hubs like Kakfa to receive and process messages in the grid − where the data lives. Boost application performance and scalability to new levels using tools available only from ScaleOut Software.
A Feature Rich, Battle-Tested, In-Memory Data Grid / Distributed Cache with Customizable Data Structures
Learn About ScaleOut StateServer
Scalability is in our DNA. Every aspect of our in-memory data grid’s architecture is designed to deliver linearly scalable performance with integrated high availability. This means that you can add servers to meet the demands of your business and always expect fast response times in accessing your data.
ScaleOut Software makes ease of use and low TCO top priorities for our products. We take care of the grid’s inner workings and keep the APIs as simple as possible so that you can focus on your application. ScaleOut StateServer automates cluster membership, data partitioning, and load-balancing, and it self-heals after a server failure. Our patented technology for strong consistency ensures that your data will always be safe.
Traditional distributed caches force you to access cached objects as uninterpreted blobs or using a fixed set of data structures, like hashed sets or lists. ScaleOut Active Caching™ removes these limitations and boosts performance with unique capabilities. Now you can deploy application code to the distributed cache and use custom client APIs or messages to access objects, and you can tailor data structures and code to meet your precise needs. For example, an e-commerce app can implement business-specific shopping carts, APIs, and analytics.
Active caching creates breakthrough advantages for app developers. It accelerates performance, reduces network usage, offloads clients, increases scalability, and more.
Protect Against Data Center Outages and Access WAN Data
Seamlessly extend ScaleOut StateServer’s in-memory data grid across multiple, geographically distributed data centers to protect against loss of data due to a site-wide outage. Combine multiple data grids across remote data centers into a single, virtual data grid spanning all sites. ScaleOut GeoServer gives you both, and it delivers the scalability and ease of use you expect from ScaleOut Software.
Disaster Recovery and Global Data Integration in One Package
Learn About ScaleOut GeoServer
With ScaleOut GeoServer you can automatically replicate data as it changes among up to eight data centers to protect against data center-wide outages. It’s easy to set up and manage, and it supports “master-master” usage for maximum cost-effectiveness. ScaleOut GeoServer delivers scalable throughput that automatically grows as you add servers to each data center, and it automatically handles server failures. This product has been battle-tested by some of the world’s leading e-commerce sites.
ScaleOut GeoServer can combine your in-memory data grids at multiple data centers, both on-premise and cloud-based, into a single, logical data grid. We call this global data integration, and it dramatically simplifies your application, letting it transparently access data when needed from any location. It even supports distributed locking across sites so that you can globally synchronize updates.
Boost Situational Awareness and Decision Making
Simultaneously track telemetry from millions of data sources with digital twins — enabling immediate, deep introspection with state-tracking and highly targeted, real-time feedback. Create large-scale, time-driven simulations with digital twins to model complex scenarios and make predictions. A powerful UI simplifies deployment and displays aggregate analytics in real time to maximize situational awareness. Ideal for a wide range of applications, including the Internet of Things (IoT), real-time intelligent monitoring, telematics, logistics, healthcare, and financial services.
The Next Generation in Streaming Analytics
Learn More About ScaleOut Digital Twins
Traditional stream-processing systems extract patterns from incoming telemetry but can’t track dynamic information about individual data sources. This makes it difficult to fully analyze what incoming telemetry is saying. That’s where the power of real-time digital twins comes in. Their ability to track dynamically evolving state information about each individual data source enables deeper introspection than previously possible and maximizes situational awareness — all within milliseconds.
Real-time digital twins enable aggregate analytics that previously could only be performed offline. Now you can simultaneously track thousands of data streams and analyze what all of the data sources are telling you within seconds. So, for example, if your operations center is keeping track of a hundred thousand points of control, you can intelligently identify the key issues and triage the hot spots every few seconds. This lets you focus limited resources where they are most needed at all times.
Track & Analyze Your Live Data for Operational Intelligence
ScaleOut StateServer Pro integrates a scalable compute engine into ScaleOut StateServer’s in-memory data grid to enable blazingly fast, data-parallel computation on live, fast-changing data. This gives you “operational intelligence” – the ability to analyze data in real time and provide immediate insights and feedback within live systems. Now you can capture perishable business opportunities in your live data as they happen.
Instead of querying data from an in-memory data grid and analyzing it in the client, applications can now simply run this analysis within the grid — where the data lives. This accelerates performance and offloads both the network and the client’s CPU. ScaleOut StateServer Pro combines parallel query and data-parallel analysis into a single API that automatically makes use of the grid’s scalable computing resources.
In-Memory Data Grid with Integrated, Data-Parallel Query and Computing
Learn About ScaleOut StateServer Pro
ScaleOut StateServer Pro was specifically designed for operational intelligence within live systems. Its object-oriented, in-memory data storage lets you maintain up-to-the-second information about real-world entities (such as portfolios, e-commerce shoppers, or the Internet of Things). Integrated, data-parallel computing enables fast analysis to detect emerging patterns and generate immediate feedback. StateServer Pro uses cutting-edge techniques from parallel supercomputing to deliver results as fast as possible. You have a mission-critical system, and now you have the operational intelligence you need for peak performance.
Complicated parallel processing frameworks are intimidating. ScaleOut StateServer Pro was specifically designed to lower the barriers to adoption and get you up and running quickly. Its object-oriented approach to data-parallel programming leverages everything you already know about Java and C#, and it seamlessly adds the simplest possible model for combining data-parallel query and processing. The net result is that analytics for operational intelligence are straightforward to write and run without the need for specialized knowledge of complex semantics and tuning parameters.
Automatic Redis®* Clustering with Lower TCO
The ScaleOut In-Memory Database™ combines the power of ScaleOut’s industry-leading cluster architecture with the popular, open-source Redis®* database. Targeted to enterprise Redis deployments that need to keep TCO to a minimum, this product provides a breakthrough with its fully automatic cluster management. With the ScaleOut In-Memory Database, managing complex concepts, such as shards and hashslots, are a thing of the past. You just add servers to increase in-memory storage and throughput as your workload grows. ScaleOut automatically creates replicas and distributes the workload across the cluster. It also detects and handles server failures by rebalancing the cluster and creating missing replicas to “self-heal.” Best of all, unlike most Redis alternatives, it uses patented technology to provides full data consistency that ensures your stored data is never lost.
Available for both Linux and Windows, ScaleOut In-Memory Database also includes ScaleOut StateServer® and advanced features, such as one-touch, fully parallel backup and restore, that take your Redis experience to the next level. You can also optionally tap into ScaleOut’s advanced APIs for data-parallel computing and stream processing that run alongside your Redis database.
Experience Automatic Management and Fully Consistent Data Storage
Learn about ScaleOut In-Memory Database
To ensure that your Redis applications experience native Redis behavior and performance, ScaleOut In-Memory Database incorporates actual open-source Redis code, version 6.2.5, to implement all of its popular data structures (including strings, lists, sets, hashes, sorted sets, streams, hyperloglog, and geospatial), transactions, pubsub, and the Redis client/server protocol. When you run a command from your existing Redis client, ScaleOut orchestrates its execution on the cluster and calls into Redis open-source code to perform the command and generate results.
Unlike other Redis implementations, ScaleOut In-Memory Database uses a fully multi-threaded execution engine to run Redis commands in parallel. By avoiding Redis’s “event loop” architecture, ScaleOut can automatically take advantage of all processing cores on every server to accelerate throughput. In addition to benefiting from higher performance, you can potentially lower licensing and management costs since you no longer need to deploy multiple shards per server to extract multi-core performance from your servers.
Add more capabilities to your ScaleOut deployment with the ScaleOut Management Pack and Remote Client options.
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