Redis vs Infinispan

Struggling to choose between Redis and Infinispan? 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, Infinispan is a Development product tagged with caching, distributed-cache, inmemory-data-grid.

Its standout features include Distributed in-memory key/value data store, Supports transactions, Data partitioning, Data replication, Persistence to disk or database, Querying and indexing, Caching for databases, Clustering and high availability, and it shines with pros like Very fast data access, Scalable and elastic, Fault tolerant, Supports many data structures, Integrates with many frameworks/platforms, Open source with large community.

Feature	Redis	Infinispan
Overall Score	1	N/A
Primary Category	Development	Development

Product Overview

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.

Infinispan

Description: Infinispan is an open source in-memory data grid and distributed cache. It is used to store and retrieve data with microsecond response times, while providing data reliability and availability.

Key Features Comparison

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)

Infinispan Features

• Distributed in-memory key/value data store
• Supports transactions
• Data partitioning
• Data replication
• Persistence to disk or database
• Querying and indexing
• Caching for databases
• Clustering and high availability

Pros & Cons Analysis

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

Infinispan

Pros

• Very fast data access
• Scalable and elastic
• Fault tolerant
• Supports many data structures
• Integrates with many frameworks/platforms
• Open source with large community

Cons

• Complex to configure and operate
• Not ideal for durable long-term storage
• Can be resource intensive
• Not as fully featured as some proprietary options

Pricing Comparison

Redis

• Open Source

Infinispan

• Open Source