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Azure Redis Cache vs Hazelcast: What are the differences?
- 1. Scalability: Azure Redis Cache provides the ability to scale up or down based on the demand of the application, allowing users to easily handle varying workloads. On the other hand, Hazelcast offers both horizontal scaling, where additional nodes can be added to the cluster, and vertical scaling, where the size of individual nodes can be increased or decreased.
- 2. Data Persistence: Azure Redis Cache supports data persistence by offering options like RDB snapshots and AOF logs, which allow data to be stored even if the cache is restarted. Hazelcast also provides data persistence, but it does so through its built-in Map Store, which allows data to be stored in an external database or file system for durability.
- 3. Caching Strategies: Azure Redis Cache supports different caching strategies, such as LRU (Least Recently Used), LFU (Least Frequently Used), and custom eviction policies. Hazelcast, on the other hand, offers support for distributed caching with various eviction policies like LRU, LFU, and random eviction.
- 4. Integration with Microsoft Azure: Azure Redis Cache is a fully managed caching service provided by Microsoft Azure, allowing easy integration with other Azure services and providing features like high availability and automatic failover. In contrast, Hazelcast can be deployed on-premises or on any cloud platform, offering more flexibility in terms of deployment options.
- 5. Language Support: Azure Redis Cache provides support for multiple programming languages including .NET, Java, Node.js, Python, and more, making it accessible for developers using different technologies. Hazelcast also supports a wide range of programming languages, making it suitable for developers using different stacks and frameworks.
- 6. Security: Azure Redis Cache offers various security features, such as SSL/TLS encryption, Access Control Lists (ACLs), and Virtual Network Service Endpoints, ensuring confidentiality and restricting access to the cache. Hazelcast also provides security features like LDAP integration, SSL encryption, and network segregation to protect the cache and control access.
In summary, Azure Redis Cache and Hazelcast differ in terms of scalability, data persistence, caching strategies, integration with Microsoft Azure, language support, and security features.
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Learn MorePros of Azure Redis Cache
Pros of Hazelcast
Pros of Azure Redis Cache
- Cache-cluster4
- Redis3
Pros of Hazelcast
- High Availibility11
- Distributed Locking6
- Distributed compute6
- Sharding5
- Load balancing4
- Map-reduce functionality3
- Simple-to-use3
- Written in java. runs on jvm3
- Publish-subscribe3
- Sql query support in cluster wide3
- Optimis locking for map2
- Performance2
- Multiple client language support2
- Rest interface2
- Admin Interface (Management Center)1
- Better Documentation1
- Easy to use1
- Super Fast1
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Cons of Azure Redis Cache
Cons of Hazelcast
Cons of Azure Redis Cache
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Cons of Hazelcast
- License needed for SSL4
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What is 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.
What is 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.
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What companies use Azure Redis Cache?
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What companies use Azure Redis Cache?
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What tools integrate with Azure Redis Cache?
What tools integrate with Hazelcast?
What tools integrate with Azure Redis Cache?
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What are some alternatives to Azure Redis Cache and Hazelcast?
Amazon ElastiCache
ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.
Azure CDN
It lets you reduce load times, save bandwidth, and speed responsiveness—whether you’re developing or managing websites or mobile apps, or encoding and distributing streaming media, gaming software, firmware updates, or IoT endpoints.
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.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.