Organizations are attracted to graph databases to meet big and complex data challenges that traditional databases such as relational and NoSQL are not capable of conquering.

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Although databases that focus on the relational aspect of data analytics abound, few are as effective at revealing the hidden valuable insights as a graph database.

Neo4j 2.1 makes importing data from relational and other databases seamless: whether it's millions of rows, or billions. A superfast import option now runs up to 100x faster than previously possible.

About Bitnine Bitnine is a dedicated graph database solution company which provides the technological basis for swift analysis and visualization of multi-sourced data with its graph database solution ...

In graphs, keyword search techniques unravel interconnected data points, often representing relationships in social networks, bibliographic databases or web documents.

The global graph database market size to grow from USD 2.9 billion in 2023 to USD 7.3 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 20.2% during the forecast period. Graph databases ...