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.
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 StorageLearn 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.
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 AnalyticsLearn More About the Streaming Service
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.
Perform Stateful Stream Processing for Deep Introspection
ScaleOut StreamServer® combines a scalable, stream-processing compute engine with an integrated, in-memory data grid into a powerful, unified software platform for stateful stream-processing. Now you can perform lightning-fast event analysis using sophisticated in-memory state tracking with “real-time digital twin” models to provide deep introspection and precise real-time feedback. StreamServer® DT adds a full graphical user interface for deploying real-time digital twin models, aggregating real-time status, and visualizing results in seconds.
The ScaleOut Digital Twin Builder™ software toolkit dramatically simplifies the development of Java and C#-based digital twin models and their deployment on ScaleOut StreamServer. Digital twin models enable stream-processing applications to track dynamic state information for each data source and analyze its incoming events with a richer context than previously possible. This leads to deeper real-time introspection and better feedback and alerting.
ScaleOut StreamServer incorporates all of the features of ScaleOut StateServer Pro, enabling applications to perform data-parallel analyses on live, fast-changing data. This gives applications the ability to immediately detect aggregate trends and generate feedback or alerts. Combined with digital twin models, data-parallel analytics performed in real time offer new insights on the dynamic behavior of data sources that previously were only available with offline, batch processing.
Stateful Stream-Processing with Time Windowing, Kafka and Azure IoT Integration, ReactiveX APIs, and MoreLearn About ScaleOut StreamServer
Stateful stream-processing with digital twins offers deeper introspection than previously possible across a wide range of applications, including financial services, e-commerce, Internet of Things (IoT), medical systems, manufacturing, logistics, and much more.
Here’s just one example: A medical monitoring system can use a dynamic, digital twin model of a patient combined with machine-learning techniques to take into account a patient’s detailed history, medications, and current status when evaluating incoming device telemetry. This allows the system to generate more intelligent and timely alerts to medical professionals.
Unlike mainstream platforms such as Apache Flink, Spark, and Storm, ScaleOut StreamServer automatically dispatches incoming streaming events to in-memory, object-oriented, digital twin models of data sources for analysis. Other platforms need to pull state information from remote data stores, such as database servers and distributed caches; this creates delays and network bottlenecks. ScaleOut StreamServer processes incoming data streams within digital twins stored in an in-memory data grid — where the data lives — ensuring minimum access latency and peak stream-processing throughput.
Track & Analyze Your Live Data for Operational Intelligence
Scale your application’s performance with ScaleOut StateServer, a production-proven, in-memory data grid 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-premise and on public clouds, ScaleOut StateServer incorporates a decade of technology development and has been put to the test across a wide variety of industries and use cases.
ScaleOut StateServer Pro integrates a scalable compute engine 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, operational systems. Now you can capture perishable business opportunities in your live data as they happen.
A Feature Rich, Battle-Tested, In-Memory Data Grid with Integrated In-Memory ComputingLearn About ScaleOut StateServer and StateServer Pro
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.
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, such as multicast and global combining, 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.
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 PackageLearn 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.