Sold by: ScaleOut Software
Deployed on AWS
ScaleOut StateServer(R) is an in-memory data grid (distributed cache), which runs as a distributed software service on a set of dedicated virtual servers. It stores data objects in memory, makes them instantly accessible to networked Web or application servers, and scales to handle large workloads.
Overview
ScaleOut StateServer is an in-memory data grid (IMDG), also called a distributed cache, which runs as a distributed software service on a set of dedicated virtual servers to help scale application performance. It stores an application's data objects in memory, makes them instantly accessible to networked web or application servers, and scales to handle large workloads. Stored objects can be uniformly accessed by clients using a fully consistent storage model, and the grid enables simultaneous access by different clients to data objects stored on different grid servers. Once provisioned, ScaleOut StateServer automatically balances the amount of storage used by each server in the grid to scale throughput and maintain fast response times. As new servers running ScaleOut StateServer are provisioned, they automatically rebalance the workload to expand storage capacity and throughput. High availability is built into every feature of ScaleOut StateServer to support the needs of mission-critical applications. A comprehensive set of Java, C/C++, .NET, and REST APIs enable applications to directly access the IMDG as a key/value store using create/read/update/delete semantics. APIs also can perform a wide variety of operations, such as querying objects by their properties and handling asynchronous events. AWS instances include Standard Support for ScaleOut StateServer. Premium support packages are available directly from ScaleOut Software.
Highlights
- Fast, Scalable Performance: Scales to hundreds of server instances to provide fast response times for large workloads. This gives your applications the performance and scalability they need, and the flexibility to grow or shrink the grid as required.
- Ease of Use: Self-organizes by automatically combining server instances into a uniformly accessible and scalable in-memory data grid. No configuration steps are required for creating a grid membership, failover, partitioning, or client-side caching.
- Powerful, Advanced Features: Includes highly automated cloud deployment, fully consistent data storage, parallel query, object browser, parallel backup/restore, object locking, object timeouts and dependencies, event handling, and much more.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Standard Cluster Deployment
Latest version
Operating system
AmazonLinux 2.0.20240109.0
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.13 |
r4.16xlarge | $3.52 |
m4.large | $0.13 |
x1e.4xlarge | $0.88 |
x1.32xlarge | $7.04 |
m4.4xlarge | $0.88 |
r5.24xlarge | $5.28 |
r5.large | $0.13 |
m5.4xlarge | $0.88 |
t3.xlarge | $0.26 |
Dimensions summary
You pay by the hour based on the EC2 instance type you run. Each dimension maps to a specific instance size, so your rate scales with the compute and memory the instance provides. Smaller instances like t2.large or c4.large bill at lower hourly rates. Larger instances like x1.32xlarge or m5.24xlarge bill at higher hourly rates. This usage-based model lets you add servers to grow the in-memory data grid, matching cost to the capacity your workload needs. There is no fixed commitment term; you pay only for the hours each instance runs.
Top-of-mind questions for buyers
Software charges accrue per instance-hour while the instance runs. A fully stopped instance stops accruing the hourly software rate. Underlying AWS storage or other resource fees may still apply while the instance is stopped, but the StateServer software meters running hours only.
Each dimension maps to a single running EC2 instance of the named type. The instance determines your vCPU and memory. Compute-focused c-family, memory-focused r-family and x1/x1e-family, general-purpose m-family, and burstable t-family instances each supply different resources. You pick the type that fits your grid.
You scale by adding servers to the grid. Each added instance bills at its own hourly rate, so cost grows per instance you run. You can mix instance types across the cluster. Running more or larger instances raises your combined hourly charge; removing instances lowers it.
www.scaleoutsoftware.com
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Vendor refund policy
You may cancel service at any time via AWS. Refunds are not available for fees incurred.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
See http://www.scaleoutsoftware.com/support/release-history/ for full release notes.
Additional details
Usage instructions
To administer this product after deployment, if the Web Management Console was enabled, please visit http://<server>:4000/console/ (port 4000 is configurable during deployment). Alternatively, ScaleOut Software, Inc. provides ScaleOut Management Console on Windows, which can be installed separately and used for both deployment and management.
To acquire these tools on your management workstation, download and install the latest ScaleOut StateServer Remote Client installer for Linux operating systems or the ScaleOut StateServer installer for Windows systems from our Support Downloads page: http://www.scaleoutsoftware.com/support/support-downloads/ . On Windows operating systems, select the Remote Client/Cloud Mgt. setup type.
Once installed, please see the ScaleOut StateServer User Guide for step-by-step instructions to manage ScaleOut StateServer on Amazon Web Services. This help file can be found in the product installation directory on your local system, or online at http://www.scaleoutsoftware.com/support/product-documentation/ . On Windows systems, this help file is also available in the Start menu. Once opened, please review the sections under Deploying SOSS in the Cloud, including both the Overview and Deploying in Amazon Web Services sections.
Client applications running as a single instance or as multiple instances can connect to and make use of a deployed in-memory data grid using APIs provided by the ScaleOut StateServer Remote Client libraries. Client applications can run either within Amazon Web Services or on remote client systems. Please install the ScaleOut Remote Client libraries on all instances or servers that need to access a deployed in-memory data grid. Follow the instructions in the Product Documentation to enable a client application to dynamically connect to a named data grid within Amazon Web Services. These instructions explain how to configure the client configuration file, soss_client_params.txt, which the user stages in the ScaleOut StateServer installation folder on each client instance or remote client system prior to starting the client application.
The following packages are downloaded on deployment: Boto Python package
Resources
Vendor resources
Support
Vendor support
Standard Support & Maintenance plan included in pricing. Gold and Platinum Support available through ScaleOut Software directly. See http://www.scaleoutsoftware.com/scaleout-support for more details.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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In-Memory Data Grid Architecture
Distributed cache that stores application data objects in memory across multiple virtual servers, providing instant accessibility to networked web and application servers.
Automatic Load Balancing and Scaling
Automatically balances storage across grid servers and rebalances workload when new servers are provisioned to expand storage capacity and throughput.
Multi-Language API Support
Comprehensive set of Java, C/C++, .NET, and REST APIs enabling key/value store access with create/read/update/delete semantics, object querying by properties, and asynchronous event handling.
High Availability and Consistency
Built-in high availability features supporting mission-critical applications with fully consistent storage model enabling simultaneous access by different clients to data objects across grid servers.
Advanced Data Management Features
Includes parallel query execution, parallel backup and restore, object locking, object timeouts and dependencies, and event handling capabilities.
In-Memory State Management with Event Sourcing
Applications bundle transactional data and logic together with in-memory database capabilities, enabling state recovery through event sourcing and location transparency for execution across distributed environments.
Horizontal Scaling with Automatic Data Sharding
Applications support multiple read-write instances with automatic data sharding across instances, enabling horizontal throughput scaling with write instance replication and convergent modification patterns.
Masterless Distributed Clustering
Applications self-organize through masterless clustering architecture with built-in split brain resolution, enabling secure federation across clouds, regions, and data centers.
Elastic Auto-Scaling Capabilities
Platform provides elastic auto-scaling capabilities with seamless scaling to support up to 1 million IOPS and cross-region deployment with per-hour granular billing.
Zero-Downtime Deployment
Platform enables zero-downtime deployment and updates with resilient recovery capabilities from failures, supporting failover and disaster recovery scenarios.
Multi-Region Data Replication
Data is replicated across 8+ regions globally with the ability to add or remove regions without downtime.
Serverless Redis-Compatible Database
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Serverless Messaging and Scheduling
HTTP-based messaging and scheduling service for asynchronous work including background jobs, recurring schedules, fan-out messaging, queues with controlled parallelism, retries, dead letter queues, deduplication, and LLM integrations.
Vector Database for Embeddings
Serverless vector database for storing and searching vector embeddings with similarity search capabilities for semantic search, recommendations, and retrieval-augmented generation.
AI Documentation and Code Reference Integration
Provides version-specific library and framework documentation and code examples to AI coding assistants through Model Context Protocol (MCP), web interfaces, and APIs.
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