Neo4j software introduction
Neo is a network - a network-oriented database - that is, it is an embedded, disk-based, fully transactional Java persistence engine, but it stores structured data on the network rather than in tables. A network (called a graph from a mathematical perspective) is a flexible data structure that allows for more agile and faster development models.
Neo4j software features
1) You can write programs, add, and update using JAVA, Python, PHP, .NET and other languages.
2) You can use the command line to add, update, and view. Neo4J provides a WEB-based execution interface and SQL-like language execution. These languages include Cypher, Gremlin, etc.
3) Nodes and relationships can be added and updated based on the WEB UI interface provided by Neo4J
4) Additional tools (ETL) can be used to import data. Data can also be imported from relational databases.
Neo4j software features
Neo4j is an embedded, disk-based, fully transactional Java persistence engine that stores data in graphs (networks) rather than tables. Neo4j provides massive scalability and can handle graphs with billions of nodes/relationships/attributes on a single machine and can scale to multiple machines running in parallel.
Relative to relational databases, graph databases are good at processing large amounts of complex, interconnected, and low-structured data. These data change rapidly and require frequent queries. In relational databases, these queries will lead to a large number of table connections, thus causing performance problems.
Neo4j focuses on solving the problem of performance degradation when querying traditional RDBMS with a large number of connections. By modeling data around a graph, Neo4j traverses nodes and edges at the same speed, regardless of the amount of data that makes up the graph.
In addition, Neo4j also provides very fast graph algorithms, recommendation systems and OLAP-style analysis, all of which are not possible in current RDBMS systems.
Neo4j FAQ
Neo4j installation failed or startup error reported
Common reasons:
Port conflict (default port 7474/7687 is occupied)
Insufficient memory (JVM heap memory configuration is too high)
Operating system compatibility issues (such as Windows missing Visual C++ Redistributable)
Solution:
Check port occupancy: netstat -ano | findstr 7474 (Windows) or lsof -i :7474 (Linux)
Modify the JVM parameters in neo4j.conf (such as dbms.memory.heap.initial_size=1G)
Install the corresponding version of the dependent library (for example, Windows requires VC++ 2015-2022)
Neo4j update log
Optimize user feedback issues and improve detailed experience
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