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.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
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 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.