Titan Database vs nebula graph

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

Titan Database is a Development solution with tags like graph, database, distributed, scalable.

It boasts features such as 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 pros including High performance, Scalability, Fault tolerance, Flexibility, Open source.

On the other hand, nebula graph is a Ai Tools & Services product tagged with distributed, graph-database, open-source.

Its standout features include Native graph storage, High availability, Horizontal scalability, Strong data consistency, High concurrency, SQL-like query language, and it shines with pros like High performance for graph workloads, Can handle large graphs with billions of vertices and trillions of edges, Fault tolerant and resilient, Flexible schema, Compatible with many graph algorithms.

Feature	Titan Database	nebula graph
Overall Score	N/A	N/A
Primary Category	Development	Ai Tools & Services

Product Overview

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.

nebula graph

Description: Nebula Graph is an open-source, distributed graph database designed to store and manage graph data at scale. It features high concurrency, low latency, and high availability for storing trillion-edge graphs.

Key Features Comparison

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

nebula graph Features

• Native graph storage
• High availability
• Horizontal scalability
• Strong data consistency
• High concurrency
• SQL-like query language

Pros & Cons Analysis

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

nebula graph

Pros

• High performance for graph workloads
• Can handle large graphs with billions of vertices and trillions of edges
• Fault tolerant and resilient
• Flexible schema
• Compatible with many graph algorithms

Cons

• Limited ecosystem compared to more established graph databases
• Steep learning curve for query language
• Not ideal for non-graph workloads

Pricing Comparison

Titan Database

• Open Source
• Custom Pricing

nebula graph

• Open Source
• Custom Pricing