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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. NCache vs Redis

NCache vs Redis

OverviewComparisonAlternatives

Overview

Redis
Redis
Stacks61.9K
Followers46.5K
Votes3.9K
GitHub Stars42
Forks6
NCache
NCache
Stacks146
Followers38
Votes0

NCache vs Redis: What are the differences?

Introduction

In this article, we will discuss the key differences between NCache and Redis. NCache and Redis are both popular in-memory distributed caching solutions, but they have some fundamental differences in terms of architecture and features.

  1. Scalability: NCache offers horizontal scalability by distributing the cache across multiple servers, making it highly scalable for high-volume applications. On the other hand, Redis provides scalability through replication, where data is replicated across multiple instances, but it does not support direct horizontal scalability.

  2. Data Persistence: NCache provides built-in support for data persistence, allowing cached data to be stored permanently on disk. This ensures data durability even in case of server failures. Redis, on the other hand, relies on asynchronous disk writes for persistence, which may result in data loss in case of unexpected failures.

  3. Data Structure Support: Redis is known for its extensive support of various data structures, such as strings, lists, sets, hashes, and sorted sets. It also provides a rich set of operations to manipulate these data structures. NCache, on the other hand, primarily focuses on key-value caching and does not offer the same level of support for complex data structures.

  4. High Availability: NCache offers high availability through features like synchronous replication, failover, and automatic data backup to ensure uninterrupted access to the cache. Redis, on the other hand, relies on asynchronous replication and lacks built-in failover mechanisms, which can result in some downtime during failover scenarios.

  5. Cache Management: NCache provides a user-friendly GUI-based management tool, which allows administrators to monitor and manage the cache cluster easily. It also provides features like cache monitoring, cache statistics, and real-time alerts. Redis, on the other hand, does not offer a built-in GUI for cache management and relies on command-line tools or third-party management tools.

  6. Integration with Microsoft Ecosystem: NCache is specifically designed for the .NET ecosystem and provides tight integration with Microsoft technologies, such as ASP.NET, ADO.NET, and Entity Framework. It also supports distributed caching of session data for ASP.NET applications. Redis, on the other hand, is a more platform-agnostic solution and provides client libraries for various programming languages.

In Summary, NCache and Redis have key differences in terms of scalability, data persistence, data structure support, high availability, cache management, and integration with the Microsoft ecosystem.

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Detailed Comparison

Redis
Redis
NCache
NCache

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.

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.

-
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
GitHub Stars
42
GitHub Stars
-
GitHub Forks
6
GitHub Forks
-
Stacks
61.9K
Stacks
146
Followers
46.5K
Followers
38
Votes
3.9K
Votes
0
Pros & Cons
Pros
  • 888
    Performance
  • 542
    Super fast
  • 514
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
Cons
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL
No community feedback yet
Integrations
No integrations available
Windows
Windows
Linux
Linux
.NET
.NET
ASP.NET
ASP.NET

What are some alternatives to Redis, NCache?

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

Azure Redis Cache

Azure Redis Cache

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.

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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