Graph Insights

What is Graph?

A graph is an abstract data type that represents a set of objects (nodes or vertices) connected by links (edges). Graphs are used to model relationships between objects, and are commonly used in computer science for representing networks, social connections, routes, and dependencies. They're fundamental in various applications, from mapping and navigation to social network analysis and recommendation systems.

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What other technologies are related to Graph?

Graph Competitor Technologies

Document

Document databases can store semi-structured data and relationships, offering an alternative to graph databases for some use cases.

mentioned alongside Graph in 28% (212) of relevant job posts

Relational

Relational databases can model relationships using foreign keys, making them a competitor to graph databases, especially for structured data.

mentioned alongside Graph in 17% (335) of relevant job posts

Object-based

Object databases can represent complex data structures and relationships, making them a competitor in specific domains.

mentioned alongside Graph in 67% (70) of relevant job posts

Key-Value

Key-value stores are a type of NoSQL database that can be used to store data, but they are not designed for complex relationships and are therefore considered a competitor to graph databases for certain use cases.

mentioned alongside Graph in 28% (98) of relevant job posts

Columnar

Columnar databases focus on efficient storage and retrieval of data columns, serving different analytical use cases but not focused on relationships, so consider as competitor in the analytical space.

mentioned alongside Graph in 26% (93) of relevant job posts

KV

KV is short for Key-Value database. Key-value stores are a type of NoSQL database that can be used to store data, but they are not designed for complex relationships and are therefore considered a competitor to graph databases for certain use cases.

mentioned alongside Graph in 20% (53) of relevant job posts

Time Series

Time series databases are designed for storing and analyzing time-stamped data, focusing on time-based relationships rather than general graph relationships.

mentioned alongside Graph in 7% (129) of relevant job posts

NoSQL

NoSQL is a broad category of databases including Document, Key-Value, and Columnar databases, making it a competitor to graph databases in certain scenarios.

mentioned alongside Graph in 0% (1.3k) of relevant job posts

Graph Complementary Technologies

Search

Search technologies like Elasticsearch can be used to index and search graph data, enhancing the ability to find nodes and relationships based on properties.

mentioned alongside Graph in 2% (102) of relevant job posts

Apache NiFi

Apache NiFi can be used to ingest and process data for graph databases, facilitating data integration and ETL processes.

mentioned alongside Graph in 1% (115) of relevant job posts

Kafka Streams

Kafka Streams can be used to process streams of data and update a graph database in real-time based on those streams.

mentioned alongside Graph in 1% (79) of relevant job posts