Updated March 28, 2023
Difference Between Hazelcast vs Redis
The application written in Java to store an in-memory data grid is called Hazelcast. The data grid is open source. The company that developed this application named the product as the company name Hazelcast. It predicts and scales the applications. This helps to reduce the load of the database, and hence the speed is improved. Redis is an open-source distributed key-value database where we can select the files’ durability to be saved. Redis is developed by Redis labs and is written by Salvatore Sanfillippa. The language is ANSI C. Most of the abstract data structures are supported in Redis. In this topic, we are going to learn about Hazelcast vs Redis.
Head to Head Comparison Between Hazelcast and Redis (Infographics)
Below are the top differences between Hazelcast vs Redis
Key Differences Between Hazelcast and Redis
Below are mentioned the key differences:
- Hazelcast is easy and simple to use as it resembles the client-server architecture of the software model. Whereas Redis is not easy as the user expects it to be and does not work like the client-server model. This makes it difficult to understand the working of Redis.
- Large loads do not work properly in Redis as it is single-threaded. Redis s\is mostly used for simple data saving cases. While Hazelcast is developed to support larger loads, it scales the applications so that the database load is reduced.
- The efficiency of Hazelcast improves linearly as that of the large data, and hence performance is not affected even for larger data in Hazelcast. But in Redis, the performance is affected in a worse manner, so that care should be taken when larger data is loaded into the database.
- Hazelcast stores and securely reloads the data. This helps the data to be saved securely. But in Redis, the security is less, and the user should give access permissions so that the data is stored securely.
- Hazelcast is developed to work in a distributed mode right from the beginning itself. This helps in scaling the application with several other applications and components. Redis was developed to work in standalone mode though it changed afterwards. Redis supports only a single database per cluster, and this limits the storage capacity.
- No additional configuration is used to know other applications as the multicast transmission is used in the Hazelcast. So the transmissions know each other and make the application to work. A single address is provided, and it works for clusters with any number of nodes. The multicast network is not available in Redis. The TCP connection is provided to know different clients.
- Redis is difficult to use in custom cloud deployments as an automatic discovery system is not provided by Redis. Automatic discovery of member instances is provided in Hazelcast.
- Hazelcast can be used on any platform with the help of the Discovery Service Provider Interface. This implements custom made service or discovery mechanisms that help users. Utility script is used in Redis that is written in Ruby, and hence dependencies should be provided for the same. This script is used for all the member addresses and hence described in distributions.
Comparison Table
Now let’s draft the comparison in the table below.
| Hazelcast | Redis |
| The application is written and implemented in Java. | The application is written and implemented in C language. |
| Hazelcast makes use of all the components of the system and scales when large data is stored and saved. | Redis is single-threaded, which makes it be less useful when the data stored is huge. |
| It is easy to add nodes in Hazelcast by giving it a proper configuration. | When a node has to be added, a utility script is used. Also, this is needed for updating the node. |
| In order to remove the node, just shut down the node, and the data is saved. | The node data is removed first, and then it is made to shut down. This helps in removing the node. |
| Replication is not compromised when large data is loaded into Hazelcast. | Replication is turned off when large data is loaded, and this improves the speed of the application. |
| The performance is better when compared with Redis. | The performance is not great when compared with Hazelcast. |
| All nodes have primary data, and each data is its own backup. This makes Hazelcast use less number of physical machines. | For fault tolerance, each file is backed up by another database, and hence Redis follows a master-slave approach. Redis requires a large number of physical machines than Hazelcast. |
| Hazelcast uses peers to detect member failures, and recovery is made automatically for the data loss. | Redis uses sentinel to detect the member failure, and sentinel uses resources of Redis that make the performance slow. |
| Map entries are located with the help of predicate API for value attributes. | Sorted sets are used instead of predicate APIs in Redis, and querying is done indirectly for the application. |
| Hazelcast takes time for standard serialization. | Standard serialization is done faster in Redis. |
| Java host process is used in Hazelcast. | Any data structures are used in Redis, and this feature makes Redis unique. |
| Hazelcast uses only javalibs, and the libraries in Hazelcast are less when compared with Redis. | Redis support many libraries. Each language has one library, and Redis provides support for every library. |
| The documentation for Hazelcast is less as the application is relatively new. | Redis has pretty good documentation as it was developed well before Hazelcast. |
| Hazelcast is not managed properly, and hence it is not preferred by many vendors. | Redis is managed properly by the cloud or the vendors, and hence it is preferred by many as the memory application. |
| Hazelcast does not follow any standards, and it is dependent on the user to update standards. | Redis has a standard from the beginning, which makes it superior in front of other applications. Also, this makes the application differ from Hazelcast. |
| Hazelcast is run in the embedded mode so that it can be configured to map and develop the application. | Redis disturbs the developer, and hence the remote server has to be established for Redis’ smooth working. |
Recommended Articles
This is a guide to Hazelcast vs Redis. Here we discuss the Hazelcast vs Redis key differences with infographics and comparison table. You may also have a look at the following articles to learn more –
