EJDB vs Titan Database

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

EJDB is a Development solution with tags like json, database, embedded, c, local-storage.

It boasts features such as Embedded, Written in C, JSON document storage, Querying and indexing of JSON documents, Fast performance, Lightweight, ACID transactions, Replication and Hot Backup and pros including Fast and lightweight, Embedded so no need to setup database server, Good for local JSON storage and queries, Performs well for IoT and mobile applications, Supports indexing for fast queries, Open source with permissive license.

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	EJDB	Titan Database
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

EJDB

Description: EJDB is an embedded JSON database engine library written in C. It is fast, lightweight, and provides querying and indexing of JSON documents stored locally on disk.

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

EJDB Features

• Embedded
• Written in C
• JSON document storage
• Querying and indexing of JSON documents
• Fast performance
• Lightweight
• ACID transactions
• Replication and Hot Backup

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

EJDB

Pros

• Fast and lightweight
• Embedded so no need to setup database server
• Good for local JSON storage and queries
• Performs well for IoT and mobile applications
• Supports indexing for fast queries
• Open source with permissive license

Cons

• Limited adoption and community support
• Not suitable for large scale or distributed systems
• Lacks some advanced database features like joins
• Only supports JSON documents

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

EJDB

• Open Source

Titan Database

• Open Source
• Custom Pricing