Open Source

In-Memory Distributed Cache

100% Native .NET

Clients { .NET, Java, Node.js, Python, Scala }

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Extreme Performance and Scalability

.NET Java Node.js

Super-Fast In-Memory Distributed Store

Linearly Scalable Caching Topologies

Client Cache (InProc Speed)

Open Source

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Cloud Support

.NET Java Node.js

Cloud Marketplace (Virtual Machines)

Cloud SaaS (Managed Service)

Azure & AWS Supported

Open Source

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Multi-Datacenter WAN Replication

.NET Java Node.js

WAN Replication across Datacenters

WAN Replication in the Cloud (Azure & AWS)

Multi-Site Web Sessions (.NET, Java, Node.js)

Open Source

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Trusted by Customers Globally

Hundreds of Customers

Open Source

In-Memory Distributed Cache

NCache is an Open Source in-memory distributed cache for .NET, Java, and Node.js. NCache is extremely fast and linearly scalable and caches application data to reduce expensive database trips. Use NCache to remove performance bottlenecks related to your data storage and databases and scale your .NET, Java, and Node.js applications to extreme transaction processing (XTP).

NCache has been the market leader for .NET applications for the last 17 years and very popular with hundreds of high-end customers all over the world.

Edition Comparison

NCache Architecture

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Five Common Uses of NCache

See Five Common Uses of NCache for .NET, Java, and Node.js applications:

App Data Caching: to reduce expensive database trips and linearly scale your applications.
In-Memory NoSQL Database with Persistence: persist data for permanent storage in a shared NCache native store or SQL Server, MongoDB, etc. database thru a provider.
Web App Caching:
- ASP.NET Core: Sessions, Response Cache, SignalR, IDistributedCache.
- ASP.NET: Session State, View State, Output Cache, SignalR.
- Java: Web Sessions
- Node.js: Web Sessions
In-Memory Pub/Sub Messaging, Continuous Query, Events: for decoupled messaging and collaboration between applications..
Distributed Lucene for .NET (Full Text Search): scale Lucene index to multiple servers at runtime. Distributed Persistence provided. No code change needed to use.