Datomic vs RethinkDB

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

Datomic is a Development solution with tags like distributed, datalog, acid, temporal, flexible-data-modeling, scalable.

It boasts features such as Distributed database, Uses Datalog query language, ACID transactions, Temporal/historical database capabilities, Flexible schema design, Scalable across multiple servers and pros including Handles large datasets and scales horizontally, Flexible schema allows for evolving data models, Query performance optimized for reads, Built-in caching improves read speeds, ACID transactions ensure data consistency, Temporal querying enables data auditing.

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.

Feature	Datomic	RethinkDB
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Datomic

Description: Datomic is a distributed database designed to enable scalable, flexible and intelligent applications. It uses Datalog and transaction processing to provide ACID transactions, temporal database capabilities and flexible data modeling. Datomic is well suited for applications that need to manage large data sets across multiple servers.

RethinkDB

Description: 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.

Key Features Comparison

Datomic Features

• Distributed database
• Uses Datalog query language
• ACID transactions
• Temporal/historical database capabilities
• Flexible schema design
• Scalable across multiple servers

RethinkDB Features

• Distributed JSON document database
• Automatic sharding
• Fault tolerance and automatic failover
• High availability
• Simple query language
• Changefeeds for realtime queries
• Strong consistency

Pros & Cons Analysis

Datomic

Pros

• Handles large datasets and scales horizontally
• Flexible schema allows for evolving data models
• Query performance optimized for reads
• Built-in caching improves read speeds
• ACID transactions ensure data consistency
• Temporal querying enables data auditing

Cons

• Not ideal for OLTP workloads
• Limited ad-hoc querying capabilities
• Proprietary query language has learning curve
• Hosted cloud option only available on AWS

RethinkDB

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

Pricing Comparison

Datomic

• Subscription-Based
• Pay-As-You-Go

RethinkDB

• Open Source