Infinispan vs Redis

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

Infinispan is a Development solution with tags like caching, distributed-cache, inmemory-data-grid.

It boasts features such as 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 pros including Very fast data access, Scalable and elastic, Fault tolerant, Supports many data structures, Integrates with many frameworks/platforms, Open source with large community.

On the other hand, Redis is a Development product tagged with caching, inmemory, keyvalue-store.

Its standout features include 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 it shines with pros like 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.

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

Product Overview

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.

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.

Key Features Comparison

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

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)

Pros & Cons Analysis

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

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

Pricing Comparison

Infinispan

• Open Source

Redis

• Open Source