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
- - Read-thru, Write-thru, Loader/Refresher
Clients: .NET, Java, Node.js, Python
Java Edition
Native solution for Java applications.
- - Read-thru, Write-thru, Loader/Refresher
Clients: Java, .NET, Node.js, Python
.NET Edition
Native solution for .NET applications.
Server-side Code (.NET)
- - Read-thru, Write-thru, Write-behind
- - Loader/Refresher, Entry Processor
Clients: .NET, Java, Node.js, and Python
Java Edition
Native solution for Java applications.
Server-side Code (Java)
- - Read-thru, Write-thru, Write-behind
- - Loader/Refresher, Entry Processor (coming)
Clients: Java, .NET, Node.js, and 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
Comparisons
Use Cases
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
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
Pub/Sub Messaging & Events
- Pub/Sub with Topic (decoupled apps)
- Durable Subscriptions
- Continuous Query Events
- Item Level & Cache Level Events
Full-Text Search
- Lucene 9.x API for .NET
- Full-text, Geospatial, Faceted search
- Import existing Lucene indexes
- Backup/Restore Lucene index
100% Native .NET
- Cache Server (.NET 6, .NET 4.8)
- Cache Client (.NET 6, .NET 4.8, earlier)
- Cache Client (Java, Node.js, Python)
Deployment (Windows, Linux)
- Installer (on-prem, cloud)
- Docker / Kubernetes (on-prem, cloud)
- Azure / AWS Marketplace VM
- Azure / AWS Marketplace SaaS
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