Much like an iceberg, the vast majority of data management happens beneath the surface: Your developers and data scientists often work with data in ways that aren’t always easy to visualize, and at an even deeper layer, your applications and AI tools execute billions of database transactions per day without direct human oversight. This beneath-the-surface Read the full article…

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…

There are a number of ways of pairing ONgDB with ElasticSearch. One common way was through the use of the Rivers plugin, but that was deprecated in ElasticSearch 1.5 and will likely be fully removed shortly after ElasticSearch 2.0. Going forward any integration will require a more sophisticated integration to index the desired nodes and Read the full article…