Graph-based search isn’t new – after all, most major internet search engines already use graph technology – but it hasn’t always been readily available. Twenty years ago, tech giants like Google and Facebook had to build their own graph databases from scratch. Today, developers can use graph search capabilities right out of the box – Read the full article…

Disparate data systems are a persistent problem in enterprise-level organizations. The challenge isn’t to collect more data. After all, data lakes and warehouses are filled to the brim with unused information. What if, instead of gathering dust on a forgotten server somewhere, all that data could be harnessed to advance your organization’s mission? What if Read the full article…

Like all other categories of capital investment — machinery, plants, patented technology, unique processes — we should be investing in data to produce an asset with an expected return. But this isn’t how it works much of the time. Instead, companies invest to connect disparate systems. The “return” comes in the form of a data Read the full article…

GraphGrid is pleased to announce the launch of our Connected Data Platform downloadable package. GraphGrid’s Connected Data Platform (CDP) is a flexible, extensible, developer-focused suite of connected data capabilities built around the free Open Native Graph Database (ONgDB). The first version (1.0) of CDP launched for cloud clients in 2018. Our latest version (1.4) brings Read the full article…

The most common recommendation engines we interact with daily involve social media (the people we may know), retail (the products we may like), and entertainment (the music, clips and/or movies presented next in our streams). Yet these are just the tip of the recommendation iceberg. When we look deeper into the inner workings of the Read the full article…