ScaleOut In-Memory Database
ScaleOut In-Memory Database: A self-hosted Redis-compatible database for distributed applications needing consistency and resilience. Ranked #19 of 24 in In-Memory Databases by our editors (7.2/10); pricing: Pricing on request · 30-day trial; best for redis-compatible self-hosted consistency and resilience.
At a glance
- Editor score7.2 / 10
- PricingPricing on request · 30-day trial
- Best forRedis-compatible self-hosted consistency and resilience
- Free planNo
- DeploymentSelf-hosted
- Founded2003 · Bellevue, Washington, United States
- Facts checked20 Sep 2026
Where it wins
- Redis data structures, commands, transactions, and pub/sub support
- Automated clustering, replica placement, failover recovery, and rebalancing
- Quorum-based consistency with multithreaded execution and parallel backup
Where it doesn't
- Pricing requires a sales contact and uses Server Unit Licensing
- No free plan is available
- Self-hosted deployment is limited to Windows and Linux
Our verdict on ScaleOut In-Memory Database
ScaleOut In-Memory Database is an enterprise-oriented, self-hosted in-memory database for organizations running distributed applications on Windows or Linux. It supports Redis data structures, transactions, pub/sub, and the standard Redis client/server protocol, making it a fit for teams that want Redis compatibility while adding automated cluster operations and consistent storage. Supported data models include strings, lists, sets, hashes, sorted sets, streams, hyperloglogs, geospatial data, transactions, and pub/sub.
The published pricing information describes a contact-sales model with licensing on a Server Unit License basis. There is no free plan, while the vendor's downloads page specifies a 30-day trial and the product page advertises a free evaluation. This makes ScaleOut more suitable for organizations evaluating an enterprise deployment than for individual developers seeking a permanently free database. Buyers should expect to discuss requirements and licensing directly with the vendor.
Its main distinction is the combination of Redis compatibility and automated distributed operations. ScaleOut provides automatic cluster management and hashslot distribution, replica placement and rebalancing, failure detection, self-healing, quorum-based fully consistent updates, multithreaded command execution, and parallel backup and restore. These capabilities target teams that want to reduce the operational work of manually managing Redis clusters while maintaining a self-managed deployment model. Choose it when high availability, consistency, and resilience are central requirements; choose another option if you need a free plan, SQL support, or a managed cloud service.
Your product? Our editors can test ScaleOut In-Memory Database in depth and publish a review, labelled as paid · from $149/mo →
ScaleOut In-Memory Database pricing
ScaleOut In-Memory Database fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deployment | Self-hosted |
| Data persistence | Not verified |
| High availability | Yes |
| SQL support | No |
| Vector search | Not verified |
| Included memory | Not verified |
| Supported data models | strings, lists, sets, hashes, sorted sets, streams, hyperloglogs, geospatial data, transactions, pub/sub |
| Free trial | 30 days |
| Deployment | Self-hosted |
| Platforms | Windows, Linux |
| Support | Email, Phone, Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Pricing on request · 30-day trial (source) |
| Website | scaleoutsoftware.com |
| Facts checked | 20 Sep 2026 |
Alternatives to ScaleOut In-Memory Database
- Couchbase ServerA broad in-memory platform with free production use and extensive database capabilities.9.4
- Apache IgniteOpen-source distributed SQL with in-memory speed, persistence, transactions, and compute.9.2
- InfinispanA Java-centric choice for clustered caching, persistence, replication, and search.9.0
See all ScaleOut In-Memory Database alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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