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  1. Stackups
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  3. In-Memory Databases
  4. In Memory Databases
  5. Azure Redis Cache vs NCache

Azure Redis Cache vs NCache

OverviewComparisonAlternatives

Overview

Azure Redis Cache
Azure Redis Cache
Stacks58
Followers124
Votes7
NCache
NCache
Stacks146
Followers38
Votes0

Azure Redis Cache vs NCache: What are the differences?

Introduction

Azure Redis Cache and NCache are both popular distributed caching solutions that can improve the performance and scalability of web applications. However, there are key differences between these two caching solutions that developers should be aware of. In this article, we will highlight these differences, providing specific details about each one.

  1. Deployment and Management: Azure Redis Cache is a fully managed service provided by Microsoft Azure. It is easy to deploy and manage, as all the operational tasks, such as configuring, scaling, patching, and monitoring, are handled by Azure. On the other hand, NCache can be deployed on-premises or in the cloud, giving developers more flexibility and control over their caching solution.

  2. Multi-Cloud Support: Azure Redis Cache is a native Azure service and is only available on the Azure cloud platform. In contrast, NCache can be deployed on various cloud platforms, including Azure, AWS, and GCP. This allows developers to have a consistent caching solution across multiple cloud providers, minimizing vendor lock-in.

  3. Cache Topologies: Azure Redis Cache supports a single-node cache and a high-availability cache (which uses replication and failover). NCache, on the other hand, offers a wide range of cache topologies, including replicated cache, partitioned cache, partitioned-replica cache, and more. This gives developers more options to choose the best caching topology based on their specific application requirements.

  4. Data Persistence: Azure Redis Cache provides data persistence through its RDB and AOF persistence mechanisms. RDB persistence periodically saves a snapshot of the cache data to disk, while AOF persistence logs all the write operations to a file. NCache, on the other hand, offers more advanced data persistence options, including disk-based persistence, database persistence, and WAN replication. This makes NCache a better choice for applications that require stronger durability guarantees.

  5. Programming Language Support: Azure Redis Cache provides client libraries for various programming languages, including .NET, Java, Python, Node.js, and more. NCache also supports multiple programming languages, with client libraries available for .NET, Java, C++, and other popular languages. However, NCache additionally provides support for programming languages such as Python, Ruby, and PHP through its REST API.

  6. Ready-to-Use Features: Azure Redis Cache includes several advanced features out of the box, such as pub/sub messaging, geo-replication, and distributed caching with Redis Cluster. NCache, on the other hand, offers a comprehensive set of built-in features, including ASP.NET session state caching, distributed caching, and dynamic cache data partitioning. These ready-to-use features enable developers to accelerate application development and simplify cache administration.

In summary, Azure Redis Cache and NCache have key differences in terms of deployment and management, multi-cloud support, cache topologies, data persistence options, programming language support, and ready-to-use features. Depending on the specific requirements of your application and the level of control you need over your caching solution, you can choose the one that best suits your needs.

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Detailed Comparison

Azure Redis Cache
Azure Redis Cache
NCache
NCache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

NCache is an open source distributed cache for .NET & .NET Core (Apache 2.0) by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips.

Enterprise-grade security; Flexible scaling; Improve application throughput and latency; Speed up applications with a distributed cache
Recovery from Split-Brain; ASP.NET Core Response Caching; .NET Core; Virtualization and Containerization; Performance & Scalability; Cache Elasticity (High Availability); Cache Topologies; WAN Replication; Cache Administration; Security & Encryption; Object Caching Features; Managing Data Relationships; Synchronization with Data Sources; Runtime Data Sharing; Search Cache (SQL-Like); Data Grouping; Read-through & Write-through; Cache Size Management; ASP.NET Support; Third Party Integrations;
Statistics
Stacks
58
Stacks
146
Followers
124
Followers
38
Votes
7
Votes
0
Pros & Cons
Pros
  • 4
    Cache-cluster
  • 3
    Redis
No community feedback yet
Integrations
Spring Boot
Spring Boot
Java
Java
Windows
Windows
Linux
Linux
.NET
.NET
ASP.NET
ASP.NET

What are some alternatives to Azure Redis Cache, NCache?

Redis

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

SAP HANA

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

VoltDB

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Tarantool

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

KeyDB

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

LokiJS

LokiJS

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

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