Telecommunications

Impact analysis and network planning

Quickly determine the impacts of a node failure, maintenance outage or incursion and recommend alternate routes around your most relied-upon components.

Root-cause analysis

Immediately identify the root cause of any network or infrastructure problem by tracing back dependencies quickly and easily. Also provide service desks greater visibility into all components and relationships that make up your IT infrastructure.

Routing and quality-of-service (QoS) mapping

Find the best, shortest or least-busy path; pinpoint the best location in the network to introduce a new service; and complete your QoS mapping from the segment level to the entire network.

IT infrastructure management

Map IT services to the chain of dependent physical and virtual infrastructure components, optionally mapping all the way up to cost centers.

Highly interrelated elements

Whether you’re managing a major network change, providing more effective security-related access or optimizing a network, application infrastructure or data center, the physical and human interdependencies are extremely complex and challenging to manage without the right technology.

Non-linear and non-hierarchical relationships

Relationships among the various nodes in your network are neither purely linear nor hierarchical, making it difficult to model using a traditional RDBMS. In addition, when two or more systems are brought together, these relationships become even more complex to describe.

Growing physical and virtual nodes

With rapid growth in network sizes and both the number and types of elements added to support new network users and services, your IT organization must develop systems that accommodate both current and future requirements.

Native graph storage

Unlike relational databases, Neo4j stores interconnected network data that is neither purely linear nor hierarchical. Neo4j’s native graph storage makes it easier to decipher your IT operations by not forcing intermediate indexing at every turn.

Flexible schema

Neo4j’s versatile property graph model makes it easier for organizations to evolve their network and infrastructure models, especially as new technology is constantly added and legacy technology is retired.

Performance and scalability

Neo4j’s native graph processing engine supports high-performance graph queries on large network datasets to enable real-time decision making.

High availability

The built-in, high-availability features of Neo4j ensure your network data is always available to mission-critical applications.