JanusGraph vs Titan Database

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

JanusGraph is a Development solution with tags like graph, database, distributed, scalable, cassandra, hbase.

It boasts features such as Distributed graph database, Supports various storage backends like Cassandra, HBase, etc, Scalable to handle large graphs, Support for complex traversals and graph algorithms, Native integration with Spark and TinkerPop Gremlin, Support for geo, numeric range and full-text search, ACID and serializable transactions, Multi-datacenter high availability and pros including Highly scalable, Flexible storage backend options, Strong consistency support, Powerful graph querying capabilities, Integrates well with big data stack.

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

Product Overview

JanusGraph

Description: JanusGraph is a scalable, distributed graph database optimized for storing and querying large graphs. It is an open source project under the Linux Foundation and supports storage backends like Cassandra and HBase.

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

JanusGraph Features

• Distributed graph database
• Supports various storage backends like Cassandra, HBase, etc
• Scalable to handle large graphs
• Support for complex traversals and graph algorithms
• Native integration with Spark and TinkerPop Gremlin
• Support for geo, numeric range and full-text search
• ACID and serializable transactions
• Multi-datacenter high availability

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

JanusGraph

Pros

• Highly scalable
• Flexible storage backend options
• Strong consistency support
• Powerful graph querying capabilities
• Integrates well with big data stack

Cons

• Complex to operate and manage
• Limited visualization and analytics capabilities out of the box
• Steep learning curve for developers

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

JanusGraph

• Open Source

Titan Database

• Open Source
• Custom Pricing