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Azure Redis Cache

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KeyDB

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5
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Azure Redis Cache vs KeyDB: What are the differences?

Introduction

Azure Redis Cache and KeyDB are both in-memory data stores that can be used to improve the performance and scalability of web applications. However, there are several key differences between these two technologies that make them suitable for different use cases. Let's explore those differences in detail.

  1. Architecture: Azure Redis Cache is based on the open-source Redis database, while KeyDB is a Redis fork that aims to provide improved performance and scalability. KeyDB achieves this by implementing multi-threading, allowing more efficient utilization of CPU cores.

  2. Scalability: Azure Redis Cache is a fully managed service provided by Microsoft Azure, which means that it offers global distribution, automatic failover, and automatic scaling. On the other hand, KeyDB can be deployed on any infrastructure and can be scaled horizontally by adding more instances. This makes KeyDB more suitable for environments where fine-grained control over scalability is required.

  3. Compatibility: Azure Redis Cache is fully compatible with Redis, which means that any code or application that works with Redis can also work with Azure Redis Cache without any modifications. KeyDB also provides a high level of compatibility with Redis, but there might be some differences in behavior or features that need to be considered when migrating from Redis to KeyDB.

  4. Performance: KeyDB is designed to provide improved performance compared to Redis. By implementing multi-threading, KeyDB can take advantage of multiple CPU cores, allowing it to handle a higher volume of requests and achieve lower latencies. Azure Redis Cache also provides high performance, but it might not be able to match the performance of KeyDB in certain scenarios.

  5. Persistence: Azure Redis Cache supports different persistence options, including the ability to persist data on disk and achieve high availability through replication. KeyDB also supports persistence, but it provides additional options such as AOF (Append Only File) and RDB (Redis Database) persistence. These options provide different trade-offs between performance and durability.

  6. Ease of Management: Azure Redis Cache is a fully managed service, which means that Microsoft takes care of managing and maintaining the infrastructure, including backups and patching. This makes it easier for developers to focus on application development without worrying about infrastructure management. KeyDB, on the other hand, requires manual management and maintenance, which might require more effort from the developers or operations team.

In Summary, Azure Redis Cache is a fully managed service provided by Microsoft Azure, offering global distribution, automatic failover, and automatic scaling, while KeyDB is a Redis fork that provides improved performance and scalability through multi-threading. Azure Redis Cache offers ease of management and compatibility with Redis, while KeyDB provides fine-grained scalability control and additional persistence options.

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Pros of Azure Redis Cache
Pros of KeyDB
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    Cache-cluster
  • 3
    Redis
  • 3
    Performance
  • 2
    Active Replication

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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 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.

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What tools integrate with Azure Redis Cache?
What tools integrate with KeyDB?
What are some alternatives to Azure Redis Cache and KeyDB?
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.
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 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.
See all alternatives