Need advice about which tool to choose?Ask the StackShare community!
Add tool
Memcached vs NCache: What are the differences?
What is Memcached? High-performance, distributed memory object caching system. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
What is NCache? Distributed In-Memory Datastore. It is an extremely fast and scalable distributed cache for .NET. It helps high traffic server applications remove data storage bottlenecks by caching application and linearly scale to handle extreme transaction loads without slowing down.
Memcached can be classified as a tool in the "Databases" category, while NCache is grouped under "In-Memory Databases".
Memcached is an open source tool with 9K GitHub stars and 2.6K GitHub forks. Here's a link to Memcached's open source repository on GitHub.
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of Memcached
Pros of NCache
Pros of Memcached
- Fast object cache139
- High-performance129
- Stable91
- Mature65
- Distributed caching system33
- Improved response time and throughput11
- Great for caching HTML3
- Putta2
Pros of NCache
Be the first to leave a pro
Sign up to add or upvote prosMake informed product decisions
Cons of Memcached
Cons of NCache
Cons of Memcached
- Only caches simple types2
Cons of NCache
Be the first to leave a con
Sign up to add or upvote consMake informed product decisions
- No public GitHub repository available -
What is Memcached?
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
What is NCache?
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.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Memcached and NCache as a desired skillset
What companies use Memcached?
What companies use NCache?
What companies use NCache?
See which teams inside your own company are using Memcached or NCache.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Memcached?
What tools integrate with NCache?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+4 6
939
+4 10
2634
+17 16
6819
+9 15
1650
+17 40
36335
+47 55
72361
+26 20
4961
+42 53
21908
What are some alternatives to Memcached and NCache?
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.
Ehcache
Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.
Varnish
Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture.
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.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.