Unlock data relationships with our intuitive graph database software, enabling scalable and efficient storage of complex network structures for real-time analytics and AI applications.
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Free plan with limited scalability and support
Freemium plan, free for small datasets (<1M vertices) and <100M edges)
Free plan with limited scalability and support (up to 12 cores)
Freemium plan, free for small datasets (<100k vertices) and <10M edges
Free plan with limited scalability and support (up to 1 core)
Free plan with limited scalability and support (up to 10k documents)
Pricing based on instance size, hourly or monthly
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A Graph Database is a type of NoSQL database that stores data as nodes (entities) connected by edges (relationships).
Graph Databases offer high performance, scalability, and flexibility in storing complex relationships between data entities.
Neo4j is one of the most widely used and popular Graph DB software, especially for enterprise-level applications.
Graph Databases are ideal for use cases such as recommendation systems, social network analysis, fraud detection, and more.
Yes, Graph Databases can handle large volumes of data and scale horizontally to meet the needs of big data applications.
Cypher is a query language specifically designed for Neo4j, allowing users to write queries in a readable and efficient manner.
Yes, Graph Databases can be integrated with relational databases, NoSQL databases, and cloud storage services to create hybrid data architectures.
Graph Databases store relationships between nodes as edges, allowing for efficient querying and traversal of complex networks.
Yes, several Graph DB software such as Neo4j Community Edition, Titan (now part of Apache), and OrientDB offer open-source licenses.
The typical data model for a Graph Database consists of nodes (entities), edges (relationships), and properties (attributes) that describe these entities and relationships.
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