CouchDB vs Titan Database

Struggling to choose between CouchDB and Titan Database? Both products offer unique advantages, making it a tough decision.

CouchDB is a Development solution with tags like nosql, json, documentoriented, scalable.

It boasts features such as Document oriented database, JSON document storage, JavaScript as query language, MapReduce for aggregation, Master-master replication, RESTful API and pros including High availability, Easy horizontal scalability, Schema-less, JSON data model, Powerful query capabilities.

On the other hand, Titan Database is a Development product tagged with graph, database, distributed, scalable.

Its standout features include Distributed graph database, Highly scalable, Real-time data access, ACID transactions, Multi-model storage, Elastic scaling, Global graph analytics, Native integration with Apache Spark & Apache TinkerPop Gremlin, and it shines with pros like High performance, Scalability, Fault tolerance, Flexibility, Open source.

Feature	CouchDB	Titan Database
Overall Score	1	N/A
Primary Category	Development	Development

Product Overview

CouchDB

Description: CouchDB is an open-source NoSQL document-oriented database that focuses on ease of use and scalability. It uses JSON documents and JavaScript as its query language, allowing you to store, access, and manage data in a simple yet flexible way.

Titan Database

Description: Titan is an open-source, distributed graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is highly scalable and provides real-time data access through a transactional database.

Key Features Comparison

CouchDB Features

• Document oriented database
• JSON document storage
• JavaScript as query language
• MapReduce for aggregation
• Master-master replication
• RESTful API

Titan Database Features

• Distributed graph database
• Highly scalable
• Real-time data access
• ACID transactions
• Multi-model storage
• Elastic scaling
• Global graph analytics
• Native integration with Apache Spark & Apache TinkerPop Gremlin

Pros & Cons Analysis

CouchDB

Pros

• High availability
• Easy horizontal scalability
• Schema-less
• JSON data model
• Powerful query capabilities

Cons

• Not suitable for complex transactions
• Limited query flexibility compared to SQL
• Steep learning curve

Titan Database

Pros

• High performance
• Scalability
• Fault tolerance
• Flexibility
• Open source

Cons

• Steep learning curve
• Limited ecosystem compared to other databases
• Not ideal for non graph workloads

Pricing Comparison

CouchDB

• Open Source

Titan Database

• Open Source
• Custom Pricing