This product has charges associated with it for seller support. Neo4j with 24/7 cloudimg support. Native graph database. ACID-compliant transactions. Cypher query language. Property graph model. Nodes and relationships. Graph analytics. Pattern matching. Real-time queries. Indexing support. Schema management. Java implementation. Windows Server 2016 and 2019. Port 3389 for RDP.
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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