Redis vs Apache Ignite

Struggling to choose between Redis and Apache Ignite? 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, Apache Ignite is a Development product tagged with distributed, database, caching, processing, realtime, high-availability.

Its standout features include In-memory data grid, SQL and ACID compliance, Distributed computing, High availability, Horizontal scalability, Collocated computations, Interoperability, and it shines with pros like Very fast performance, Flexible deployment options, Strong consistency, Auto-sharding, ANSI SQL support, Machine learning integration.

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.

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


Apache Ignite

Apache Ignite

Apache Ignite is an open-source distributed database, caching, and processing platform for real-time, large-scale applications. It provides in-memory computing for speed and high availability by distributing data across a cluster.

Categories:
distributed database caching processing realtime high-availability

Apache Ignite Features

  1. In-memory data grid
  2. SQL and ACID compliance
  3. Distributed computing
  4. High availability
  5. Horizontal scalability
  6. Collocated computations
  7. Interoperability

Pricing

  • Open Source

Pros

Very fast performance

Flexible deployment options

Strong consistency

Auto-sharding

ANSI SQL support

Machine learning integration

Cons

Complex installation and configuration

Steep learning curve

No built-in monitoring and management

Limited documentation and support