Neo4j graph database

Neo4j overview

Neo4j benefits

Facilitates high performance of projects with a huge amount of connected data

Provides big data insights and analyzes relationships between data points

Gives a capability to collect statistical analytics about the data and understand how these data are related

Allows to merge interconnected data from different sources

Reflects and visualizes graph structure of data entities

Gives you a full insight into how the data are related

Neo4j use cases

What Neo4j is most suitable for:

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  Real-time recommendations

  The main task of recommendation engines is to interconnect and analyze data. With Neo4j you will get insights into how your data are related, which will help you to prototype new search algorithms.
• 
  Social networks

  Neo4j uses a query language “cypher” that helps to store users' information and link relationships between them. It reflects real-world graph structure of data entities and relationships, which makes it perfect for different types of social networks.
• 
  Contextual search

  Neo4j can make the search on your platform more advanced, as it shines at merging data from different sources and analyzing connections between the chunks of data.
• 
  Fraud detection

  Neo4j uncovers the connections between individual data points, making it easy to detect fraud rings in real time.
• 
  Data analytics

  Leverage the meaning of each data chunk your platform processes. With the help of graph analytics, you get value from large volumes of interconnected data by studying their individual elements.

Who uses Neo4j

Here are some of the companies that have chosen Neo4j

Airbnb

Uses Neo4j for an internal data portal to search in real time and guide users to the information they need.

eBay

Uses Neo4j for an app on Google Assistant to provide a conversational shopping scenario.

Volvo

Uses Neo4j to manage a huge amount of data and reveil modelled dependencies between it.