INTRODUCTION
We are learning what is caching and how it works. And we are covering how Redis and hazel-cast used to help caching. Also we are covering advantages and disadvantages of Redis and Hazel-cast and find the conclusion which is best for caching.
What is Caching ?
Caching is mechanism to improve the performance of any type of application. We can technically say Caching is storing and accessing the data from the cache. But what is exactly cache, A cache is software or hardware component aimed at storing the data. Thus, when a processor requests for data that data instance already present in the cache memory , it does not need to go to main memory.
Why Caching ?
Caching is important as it helps to improve your application performance. Some websites may have large images or content that slows loading when you visit the site for the first time. By caching the data elements of the site locally on your hard drive, the website will load faster the next time you visit it. In case of any application like java/spring boot application, when user request by calling API it will call database for fetching data. But Caching makes application efficient, it will create that data instance in cache so when same request comes it will return the data from the cache. Thus, application become faster and efficient. Find below image for more clarity ,
So to Implement caching , we have Redis , Hazel cast and Memcached. so we are covering Redis and Hazel cast and their performance , advantage and disadvantages.
Redis
Redis is (REMOTE DICTIONARY SERVER) is basically a open source data-structure store that stores data in primary memory. It uses Key-Value pairs to store data like HashMap in java. It is a NoSQL advanced key-value data store, and is often referred to as a data structure server because its keys contain strings, hashes, lists, sets, sorted sets. Since Redis store data in primary memory it often used for caching.
Advantages of using Redis
1) Redis allows to store data in key-value pair : Redis can store keys and values of 512 MB in Redis.
2) Redis supports transaction : Redis transaction allows execution of a group of command in one step. Redis commands are atomic which means all the commands are executed or none are processed.
3) Redis support flexible data structure : Redis data-type include String, list, sets, hashes, and sorted sets.
4) Redis provide data replication : It works as master-slave node. The slave node always listen master node which means when master node is updated , slave node is automatically updated.
5) Redis provide huge insertion of data : It is required to load millions of pieces of data into the cache within a short period of time. This can be done easily using mass insertion, a feature supported by Redis.
6) High availability and Scalability.
Disadvantages of Redis
1) Limited disk storage : Redis has size limitation of disk, it can handle 250 million keys per instance.
2) Lack of ACID transactions : Redis does not support complete ACID property as it does not support consistency and durability.
3) Data Loss in crashes : If your computer fails, Redis stops working. In case of large scale of data if Redis fails and all data loss.
4) Redis Support single threaded system : it means that it can only process one command at a time.
Hazel-Cast
Hazel-cast is also open source clustered data-grid. Data grid is distributed cache. Distributed cache is typically used only for storing and retrieving key-value pairs which are spread across caching servers.
Hazel-cast make your data fault-tolerance and scalable. data is spread over all the clusters so they have separate memory caching on each cluster. One of the main features of Hazel cast is not having a master node. Each node in the cluster is configured to be the same in terms of functionality by sharing the metadata called partition table of the cluster. below image for more clarity of hazel-cast.
Advantages of Hazel-cast
1) Multiple user compatibility : Hazel cast keeps each data entry backup on several members. When a member fails, the data restores from a backup, and the cluster keeps running uninterrupted. Hazelcast can conduct incredibly quick readings and updates and save everything in memory.
2) Fast Read/Write access : Hazel cast provide fast read/write access as it distributed over the multiple clusters.
3) Support multiple data structure : Hazel cast support multiple data-types like lock, queue, set and list.
4) High performance : Hazel cast provides distribute the workload/computation/query among multiple worker machines this means application performance increased.
Disadvantages of Hazel-cast
1) Memory consumption : Hazel cast caching is distributed over all the cluster so memory utilization is very high.
2) Memory sharing system : Implementation of memory sharing system is difficult.
3) Difficult to handle : System is distributed so it is difficult to handle the application.
Is Hazel cast over Redis ?
- Hazel-cast performance is many times faster than Redis. Redis is mostly used for simple data saving cases. While Hazel-cast is developed to support larger loads, it scales the applications so that the database load is reduced.
- Hazel-cast stores and securely reloads the data. But in case of Redis security is less.
- Hazel-cast needs less number of machine compared to Redis.
- Hazel-cast have data in its own backup but in case of Redis it is backup by another database.
- Hazel-cast makes use of all the components of the system and scales when large data is stored and saved but in case of Redis is single-threaded, which makes it be less useful when the data stored is huge.
Conclusion
Hazel-cast is more focused on in-memory data management and distributed computing, while Redis is a more versatile data store with advanced features with less memory utilization. Hazel-cast also have disadvantages of memory consumption and difficult to handle so the choice between these two depends on the requirements.
About me
My name is Suraj Ladda and I am a Software Developer.
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