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.

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.

Infinispan

Infinispan

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.

Categories:
caching distributed-cache inmemory-data-grid

Infinispan Features

  1. Distributed in-memory key/value data store
  2. Supports transactions
  3. Data partitioning
  4. Data replication
  5. Persistence to disk or database
  6. Querying and indexing
  7. Caching for databases
  8. Clustering and high availability

Pricing

  • Open Source

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

Redis

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.

Categories:
caching inmemory keyvalue-store

Redis Features

  1. In-memory data structure store
  2. Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams)
  3. Used as a database, cache, and message broker
  4. Provides high performance and low latency
  5. Supports replication, clustering, and high availability
  6. Supports a wide range of programming languages
  7. Provides a rich set of commands and APIs
  8. Supports data persistence (RDB and AOF)

Pricing

  • Open Source

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