RethinkDB vs Redis

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

RethinkDB is a Development solution with tags like nosql, json, document-database, distributed, scalable, high-availability.

It boasts features such as Distributed JSON document database, Automatic sharding, Fault tolerance and automatic failover, High availability, Simple query language, Changefeeds for realtime queries, Strong consistency and pros including Horizontally scalable, High performance, Easy to use query language, Realtime push queries, Open source with permissive license.

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.

RethinkDB

RethinkDB

RethinkDB is an open-source, distributed JSON document database that focuses on easy scalability and high availability. It has an intuitive query language and simple administration tools.

Categories:
nosql json document-database distributed scalable high-availability

RethinkDB Features

  1. Distributed JSON document database
  2. Automatic sharding
  3. Fault tolerance and automatic failover
  4. High availability
  5. Simple query language
  6. Changefeeds for realtime queries
  7. Strong consistency

Pricing

  • Open Source

Pros

Horizontally scalable

High performance

Easy to use query language

Realtime push queries

Open source with permissive license

Cons

Limited adoption and small community

Development discontinued in 2016

Fewer features than other NoSQL databases


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