Redis vs KeyDB

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

Redis icon
Redis
KeyDB icon
KeyDB

Expert Analysis & Comparison

Struggling to choose between Redis and KeyDB? Both products offer unique advantages, making it a tough decision.

Redis is a Development solution with tags like caching, inmemory, keyvalue-store.

It boasts features such as In-memory data structure store, Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams), Used as a database, cache, and message broker, Provides high performance and low latency, Supports replication, clustering, and high availability, Supports a wide range of programming languages, Provides a rich set of commands and APIs, Supports data persistence (RDB and AOF) and pros including High performance and low latency, Flexible and versatile data structures, Supports a wide range of use cases, Easy to set up and configure, Scalable and highly available, Open-source and free to use.

On the other hand, KeyDB is a Development product tagged with opensource, redis, keyvalue, performance.

Its standout features include In-memory key-value store, Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams, Built-in replication and clustering, Supports Lua scripting, Persistence - RDB and AOF, Transactions, and it shines with pros like Faster performance than Redis, Additional data structures like Sorted Sets and Streams, Modular architecture, Compatible with Redis clients and ecosystem, Active development.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Why Compare Redis and KeyDB?

When evaluating Redis versus KeyDB, both solutions serve different needs within the development ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

Redis and KeyDB have established themselves in the development market. Key areas include caching, inmemory, keyvalue-store.

Technical Architecture & Implementation

The architectural differences between Redis and KeyDB significantly impact implementation and maintenance approaches. Related technologies include caching, inmemory, keyvalue-store.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include caching, inmemory and opensource, redis.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between Redis and KeyDB. You might also explore caching, inmemory, keyvalue-store for alternative approaches.

Feature Redis KeyDB
Overall Score 1 N/A
Primary Category Development Development
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

Redis
Redis

Description: Redis is an open-source, in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes and streams.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

KeyDB
KeyDB

Description: KeyDB is an open source, high performance fork of Redis that supports additional data structures like Sorted Sets and Streams. It aims to be a faster, more modular alternative to Redis while maintaining compatibility.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

Redis
Redis Features
  • In-memory data structure store
  • Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams)
  • Used as a database, cache, and message broker
  • Provides high performance and low latency
  • Supports replication, clustering, and high availability
  • Supports a wide range of programming languages
  • Provides a rich set of commands and APIs
  • Supports data persistence (RDB and AOF)
KeyDB
KeyDB Features
  • In-memory key-value store
  • Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams
  • Built-in replication and clustering
  • Supports Lua scripting
  • Persistence - RDB and AOF
  • Transactions

Pros & Cons Analysis

Redis
Redis
Pros
  • High performance and low latency
  • Flexible and versatile data structures
  • Supports a wide range of use cases
  • Easy to set up and configure
  • Scalable and highly available
  • Open-source and free to use
Cons
  • In-memory nature can lead to data loss in case of system failures
  • Complexity in setting up and maintaining a highly available Redis cluster
  • Limited support for transactions and complex queries compared to traditional databases
  • Potential for high memory usage, especially for large datasets
KeyDB
KeyDB
Pros
  • Faster performance than Redis
  • Additional data structures like Sorted Sets and Streams
  • Modular architecture
  • Compatible with Redis clients and ecosystem
  • Active development
Cons
  • Less adoption than Redis
  • Smaller community than Redis
  • Not as battle-tested as Redis yet

Pricing Comparison

Redis
Redis
  • Open Source
KeyDB
KeyDB
  • Open Source

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