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High Performance and Robust Graph Database using Neo4j

Overview

Neo4j is designed to handle, store effectively, and query highly linked data in your data model. Your real-world, variably structured information can be represented using a robust and adaptable data model without sacrificing its richness.

What is Graph Database?

Data is represented and stored using graph databases, which use graph structures containing nodes, edges, and properties. The graph connects data points to an arrangement of nodes and edges, where edges signify connections between nodes. The purpose of a graph database is to treat the relations between the data as significant as the data itself.

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Why Graph Database?

Rows and columns store data in relational databases with a structure modeled like a ledger. The foreign key constraint describes the relationship between the two tables. The numerous joins and normalization steps result in data redundancy, which becomes complicated when there is an indirect relationship between large amounts of data.

Graph databases become more potent when linkages between data elements are much more significant.

Properties of Graph Model

graph

  • Nodes – Graph nodes are the objects in them. They can store infinite properties, or key/value pairs, as attributes. Nodes can have labels attached to them to indicate their various roles. Additionally, node labels are used to link specific nodes to metadata.
  • Relationship – Between two node entities, relationships offer identified, directed links that are semantically important. Relationships have four constants: type, direction, start node, and end node. Properties are also a possibility for relationships.

What is Neo4j?

  • The graph database management system Neo4j (Network Exploration and Optimization 4 Java) implements ACID principles, is schema-free (NoSQL), and is very scalable. Neo4j stores and manages its data using the property graph approach.
  • Cypher is a powerful declarative language offered by Neo4j. Cypher is a query language for Neo4j that is user-friendly and employs ASCII-Art to represent visual graph patterns.

Creating Node using CQL

  1. Creating a single node –

Syntax –

node1

2. Creating multiple nodes –

Syntax –

node2

3. Creating a node with a label –

Syntax –

node3

4. Creating a node with label & key-value pair –

Syntax –

node4

 

Creating Node with Relationship

  1. Creating nodes and relationships between them

Syntax –

rela1

2. Creating a relationship with labels and properties

Syntax –

rela2

Retrieving Data

  1. Retrieve all nodes available in the database

Syntax –

data1

2. Return nodes with a specific label –

Syntax –

data2

3. Retrieve nodes based on a specific relation

Syntax –

data3

4. Retrieve node with a specified property value

Syntax –

data4

5. Retrieve nodes with multiple specified properties

Syntax –

data5

Updating Node values

  1. Update existing property

Syntax –

upnode1a

upnode1b

2. Removing an existing property from the node

Syntax –

upnode2a

upnode2b

3. Set the table to an existing node

Syntax –

upnode3a

upnode3b

Deleting Node

  1. Delete all nodes and relationships in the database

Syntax –

  1. Delete particular node with specified label and properties

Syntax –

  1. Removing specified property of a node

Syntax –

del1

4. Removing the label of a node

Syntax –

Conclusion

Neo4j is a high-performance graph store with all the characteristics of a mature and robust database, such as an easy-to-use query language and ACID transactions. The programmer works using a flexible network structure of nodes and associations rather than static tables — while reaping the benefits of an enterprise-quality database.

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About CloudThat

CloudThat is also the official AWS (Amazon Web Services) Advanced Consulting Partner and Training partner and Microsoft gold partner, helping people develop knowledge of the cloud and help their businesses aim for higher goals using best in industry cloud computing practices and expertise. We are on a mission to build a robust cloud computing ecosystem by disseminating knowledge on technological intricacies within the cloud space. Our blogs, webinars, case studies, and white papers enable all the stakeholders in the cloud computing sphere.

Drop a query if you have any questions regarding Neo4j and I will get back to you quickly.

To get started, go through our Consultancy page and Managed Services Package that is CloudThat’s offerings.

FAQs

1. Can I create a customized instance (RAM, CPU, storage) for Neo4j?

ANS: – Currently, users cannot customize their instances beyond the available options. Each instance comes with pre-defined RAM, CPU, and storage capacity.

2. What are the training and certifications available for learning Neo4j?

ANS: – There is a Neo4j Graph Academy where we can learn and practice the training and certifications related to Neo4j.

3. What is the relation between GraphDB and RDBMS?

ANS: – Like in RDBMS, we have primary and foreign keys for relationships between two tables. In GraphDB Neo4j, nodes are related to one another via relationships where relationships are also independent data containing information.

WRITTEN BY Sahil Kumar

Sahil Kumar works as a Subject Matter Expert - Data and AI/ML at CloudThat. He is a certified Google Cloud Professional Data Engineer. He has a great enthusiasm for cloud computing and a strong desire to learn new technologies continuously.

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