Data Visualization

Graphs as a Futuristic Tech Stack Foundation

Can you imagine any data-related analytics without graphs? Neo4j chief executive officer and cofounder Emil Eifrem has been speaking about the technology being the foundational element of today’s data-savvy tools for years. Gartner recently acknowledged the claim by including graphs as one of the top 10 data and analytics technologies for 2021. Graph-based topics were also the point of discussion in Gartner’s Data & Analytics Summit 2021. In this article at VentureBeat, George Anadiotis shares how graphs are the futuristic tech stack foundation.

Working with Graphs

Be it searching for friends on Facebook or identifying the most searched page on a search engine, you use graphs. From Fortune 500 companies to NASA, graph analytics and databases are used for a variety of purposes. Additionally, from 5 percent in 2018, the usage climbed to 50 percent in 2020. The use cases increased due to the prolific use of artificial intelligence and machine learning platforms.

Interestingly, Leonhard Euler, a Swiss scientist and engineer, first came up with the graph concept in the 18th century to solve issues on building bridges. Today, companies like Google use graph analytics, graph databases, graph data science, machine learning, and knowledge graphs for their businesses. But how will graphs become the foundational framework for all? Here are the four driving factors:

4 Driving Factors

  • Organizations are moving their sensitive data to the cloud. Though some will still want to keep information in-house, there will be more takers for database-as-a-service (DBaaS).
  • Developers would love to have open-source tools on the cloud. This allows more collaboration and better products for the developer community.
  • Graphs are data framed in a structured way. With the help of graph data science, the interconnection between various information could bring meaningful insights for data scientists.
  • Graph models like GraphQL and GQL can increase the use cases of graphs for development teams by unifying databases or creating standard query languages.

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