Neo4j on Windows AMI | 24/7 Support by cloudimg

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

Overview Neo4j is a native graph database management system implemented in Java, providing ACID-compliant transactional capabilities with native graph storage and processing. This AMI delivers Neo4j pre-configured on Windows Server, enabling developers and data analysts to model, store, and query highly connected data using the intuitive Cypher query language.

Graph Data Model Nodes. Relationships. Properties. Labels. Attributes. Edges. Bidirectional traversal. Multi-relational. Property values. Schema-optional.

Cypher Query Language Declarative syntax. Pattern matching. ASCII art syntax. Graph traversal. Relationship queries. Path finding. Aggregation. Filtering.

ACID Transactions Atomicity. Consistency. Isolation. Durability. Transaction management. Rollback support. Data integrity. Concurrent access.

Native Graph Storage Index-free adjacency. Direct pointer navigation. Constant-time traversals. Graph-optimized. No JOIN operations. Relationship-first design. Performance advantages.

Property Graph Node properties. Relationship properties. Key-value pairs. Dynamic typing. Flexible schema. Multiple labels. Type system. Property indexing.

Pattern Matching Graph patterns. Path queries. Variable-length paths. Shortest path. All paths. Relationship types. Direction matching. Complex patterns.

Indexing Node indexes. Property indexes. Composite indexes. Full-text search. Spatial indexes. Schema indexes. Unique constraints. Existence constraints.

Schema Management Optional schema. Label constraints. Property constraints. Relationship constraints. Index creation. Constraint enforcement. Schema evolution.

Query Optimization Query planner. Cost-based optimization. Query hints. Execution plans. Profile queries. Performance tuning. Statistics. Cache management.

Graph Algorithms Pathfinding. Centrality measures. Community detection. Similarity algorithms. Graph analytics. PageRank. Connected components. Shortest paths.

Data Import CSV import. Bulk loading. LOAD CSV. ETL tools. Data migration. Batch processing. Transaction batching. Import optimization.

Bolt Protocol Binary protocol. Efficient communication. Stateful connections. Pipelining. Type system. Streaming results. Client drivers. Network protocol.

HTTP API REST endpoints. JSON responses. Transaction endpoints. Cypher execution. Data access. Status monitoring. Authentication. HTTPS support.

Java Implementation JVM-based. Java API. Embedded mode. Server mode. Core API. Traversal framework. Java integration. Memory management.

Security Authentication. Authorization. Role-based access. User management. Encryption support. SSL/TLS. Fine-grained permissions. Audit logging.

Monitoring Query logging. Performance metrics. System health. Resource monitoring. JMX integration. Query profiling. Slow query detection. Diagnostics.

Backup and Recovery Database backups. Point-in-time recovery. Incremental backups. Backup verification. Restore procedures. Data consistency. Disaster recovery.

Configuration Memory settings. Cache configuration. Transaction settings. Network configuration. Performance tuning. JVM options. Resource allocation. System parameters.

Visualization Graph visualization. Browser interface. Node exploration. Relationship display. Query results. Graph layout. Interactive exploration. Data discovery.

Use Cases Social networks. Recommendation engines. Fraud detection. Knowledge graphs. Network analysis. Identity management. Supply chain. Master data management.

Performance Fast traversals. Real-time queries. Low latency. High throughput. Scalable reads. Efficient writes. Memory optimization. Query caching.

Windows Integration Windows Server 2016, 2019. Native application. Windows service. File system. Registry. PowerShell. Windows auth. RDP port 3389.

cloudimg Support 24/7 support. Neo4j configuration. Cypher optimization. Performance tuning. Backup strategy. Monitoring setup. Best practices. Data modeling.

FAQ

Q: What is Neo4j? A: Native graph database with ACID transactions.

Q: Query language? A: Cypher declarative query language.

Q: Data model? A: Property graph with nodes and relationships.

Q: ACID compliant? A: Yes, full ACID transaction support.

Q: Programming language? A: Implemented in Java, runs on JVM.

Q: Graph algorithms? A: Built-in pathfinding, centrality, and analytics.

Q: API access? A: Bolt protocol and HTTP REST endpoints.

Q: Windows support? A: Yes, Windows Server 2016 and 2019.

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