We are speaking today with Rahul Gaikwad and Krishna Palati of FireEye’s devops team. Their presentation at Scylla Summit 2019 is entitled FireEye & Scylla: Intel Threat Analysis using a graph database.
Anyone who’s tried to build such a solution knows that one of the chief difficulties is encompassing the sheer number and complexity of existing data sources. In order to deliver a true solution, we need to be able to bring this disparate data together. A graph data system, built with JanusGraph and backed by the power of Scylla, is a great fit for solving this problem.
Full text search is required in many human-facing applications, such as where users need to interact with a datastore to retrieve and insert data based on partial, wildcard information, spell correction and autocompletion. Additional benefits of full text search is the ability to retrieve multiple results sorted by their relevance. Lucene, the common parent to Solr and Elasticsearch The most popular textual search engine in the market is Lucene. It is used by Solr, Elasticsearch, Lucidworks and other text search tools. Lucene is a great search engine. It is extremely fast, stable, and you probably can’t get much better than […]