NetworkX vs Titan Database
Struggling to choose between NetworkX and Titan Database? Both products offer unique advantages, making it a tough decision.
NetworkX is a Development solution with tags like graph-theory, network-analysis, data-structures.
It boasts features such as Graph and network data structures, Algorithms for network analysis, Tools for generating synthetic networks, Built-in graph drawing functionality, Integration with NumPy, SciPy, and Pandas and pros including Open source and free to use, Large user community, Wide range of algorithms and analytics, Flexible data structures, Easy to learn and use.
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.
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.
NetworkX
NetworkX is an open-source Python package for creating, manipulating, and studying the structure, dynamics, and functions of complex networks. It provides tools for analyzing node and edge attributes, generating synthetic networks, calculating network measures, drawing networks, and more.
Categories:
NetworkX Features
- Graph and network data structures
- Algorithms for network analysis
- Tools for generating synthetic networks
- Built-in graph drawing functionality
- Integration with NumPy, SciPy, and Pandas
Pricing
- Open Source
Pros
Cons
Titan Database
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.
Categories:
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
Pricing
- Open Source
- Custom Pricing