A database, especially one full of long strings of unstructured text, is only as valuable as how easily you can search it and extract meaningful interpretations. That’s harder than ever with recent changes in how many organizations ask their teams to manage and learn from the data their functional area produces. Instead of waiting for 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…