Extreme Performance and Scalability

In-Memory Distributed Store

Server { .NET, Java }
Clients { .NET, Java, Node.js, Python }
Platforms { Windows, Linux, Kubernetes }

Open Source

In-Memory Distributed Store

NCache is an extremely fast and scalable Open Source In-Memory Distributed Store that is ideal for high transaction server applications. Use NCache to remove performance bottlenecks and scale your applications to extreme transaction processing (XTP). NCache also provides dynamic clustering, intelligent data replication, and live persistence for high availability.

.NET Edition

Server-side Code (.NET)

- Read-thru, Write-thru, Loader/Refresher

Client (.NET)

Other Clients: Java, Node.js, Python

Java Edition

Server-side Code (Java)

- Read-thru, Write-thru, Loader/Refresher

Client (Java)

Other Clients: .NET, Node.js, Python

Common Uses of NCache

Distributed Cache (with Live Persistence): Data Caching, Web Sessions.
- .NET: EF Core, ASP.NET Core Sessions, Response Cache, SignalR, IDistributedCache
- Java: Hibernate, Spring, Web Sessions, JCache
Messaging & Streams: Pub/Sub Messaging, Continuous Query, Events

NCache Architecture

Featured Customers

NCache Customers - BMW Financial Services

NCache Customers - US Department of State

Comparisons

Redis vs. NCache

AppFabric vs. NCache

Memcached vs. NCache

VMware GemFire vs. NCache

Red Hat Data Grid vs. NCache

Use Cases

App Data Caching

EF Core Cache

Pub/Sub Messaging

ASP.NET Core Sessions

ASP.NET Core SignalR

ASP.NET Core Response Cache

Microservices

IoT Server Apps

Stream Processing

Features & Capabilities

Use NCache as an extremely fast and linearly scalable distributed cache in the following environments and applications.

NCache Core Architecture

Peer-to-peer dynamic cache cluster
Caching Topology: Partitioned, Partition-Replica,
Mirrored, Replicated Cache
InProc speed with Client Cache (Near Cache)
WAN replication with Bridge Topology
Split Brain detection & recovery

Distributed Caching Features

Expiration, Locking, Bulk & Async Ops
Groups, Tags, Named Tags
SQL and LINQ queries
Read-through, Write-through, Write-behind
Data Structures (List, Queue, Set, ...)
Cache Loader & Refresher

Messaging, Events, Streams

Pub/Sub Messaging with Topic (decoupled apps)
Durable Subscriptions
Continuous Query Events
Item Level & Cache Level Events

Platforms

Windows (.msi)
Linux (.tar.gz, RPM, DEB)
Kubernetes, Docker
Azure AKS, AWS EKS, OpenShift, Google GKE

.NET Edition

Server-side code (.NET): Read-thru, Write-thru, Loader, Refresher, Entry Processor
Client (.NET): Directly talks to NCache servers. Provides all features.
Other Clients: Java, Node.js, and Python

Java Edition

Server-side code (Java): Read-thru, Write-thru, Loader, Refresher, Entry Processor
Client (Java): Directly talks to NCache servers. Provides all features.
Other Clients: .NET, Node.js, and Python