Plug and Play with Big Data
The View extension, which leverages Apache Solr and Apache Spark, makes it possible to connect to data sources from over 60 systems including MySQL, databases, JIRA, Slack, Logstash, local file systems, and the web, and track user profiles and behavior to offer recommendations and personalized results
"Data lives everywhere, across a growing set of formats and locations. Even the most mature companies struggle to not only wrangle it in high volumes but expose it in a meaningful way," said Will Hayes, CEO, Lucidworks. "We built Lucidworks View to give our users the ability to rapidly create sophisticated applications for customers and, for the first time, truly plug and play with Big Data. Our aim is to eliminate the costly, time consuming complexities usually associated with the front- and back-end development of intelligent apps, moving companies quickly from the question, 'What do I do with my data?' to the statement, 'Data drives every part of the business.'"
For data to truly drive every part of the business, building applications to access that siloed information will be critical. Lucidwork's low code approach may be just what developers need.
"I pointed Fusion at a few million documents, dropped View in the application folder, spent a few minutes configuring it, opened a browser, and immediately had a fully functional, customized, and branded legal library document search-driven application -- a process that last time took us three months and hundreds of hours," said Jerry Gray, IT Manager, County of Sacramento. "With View, I can have an app up and ready to run queries in about two hours with features like recommendations, personalization, typeahead, landing pages, custom document display, faceting, and sorting built right in."