ScaleOut vs RethinkDB

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

ScaleOut is a Ai Tools & Services solution with tags like distributed-computing, inmemory-data, high-performance-computing, analytics, machine-learning.

It boasts features such as Distributed in-memory data grid, Real-time event processing, High-performance computing capabilities, Scales analytics and machine learning applications, Runs on commodity hardware and pros including Scales horizontally, Lowers costs by using commodity hardware, Accelerates analytics and ML applications, Provides real-time capabilities.

On the other hand, RethinkDB is a Development product tagged with nosql, json, document-database, distributed, scalable, high-availability.

Its standout features include Distributed JSON document database, Automatic sharding, Fault tolerance and automatic failover, High availability, Simple query language, Changefeeds for realtime queries, Strong consistency, and it shines with pros like Horizontally scalable, High performance, Easy to use query language, Realtime push queries, Open source with permissive license.

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.

ScaleOut

ScaleOut

ScaleOut is a software platform designed to scale and accelerate analytics and machine learning applications across clusters of commodity computers. It provides distributed in-memory data grid, real-time event processing, and high-performance computing capabilities.

Categories:
Ai Tools & Services Machine Learning
distributed-computing inmemory-data high-performance-computing analytics machine-learning

ScaleOut Features

  1. Distributed in-memory data grid
  2. Real-time event processing
  3. High-performance computing capabilities
  4. Scales analytics and machine learning applications
  5. Runs on commodity hardware

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Scales horizontally

Lowers costs by using commodity hardware

Accelerates analytics and ML applications

Provides real-time capabilities

Cons

Requires expertise to set up and manage clustering

May require code changes to distribute applications

Limited ecosystem compared to alternatives like Spark

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:
Development Databases
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