Lucidworks (Really?) Does Fusion Too
July 23, 2015
I read “Lucidworks Delivers Fusion 2.0 with Spark Integration.” The idea is that search is not exactly flying off the shelves. Why not download Elasticsearch and move on? The way to make search relevant is to make it a Big Data thing. This is the hard to believe path IBM took with Vivisimo’s technology. Where is Vivisimo in the IBM revenue picture? Well, that picture seems gloomy. Maybe the Big Data thing doesn’t work particularly well.
In terms of venture backed Lucidworks, the write up explains:
Fusion 2.0 provides an organization with access to a streamlined, consumer-like search experience with enterprise-grade speed and scalability. The new release integrates Lucidworks’ Fusion with Apache Spark to enable real-time data analytics. Fusion 2.0 also features a new version of the company’s SiLK user interface (UI) that simplifies dashboard visualizations and enhances the user experience. The SiLK UI runs on top of Fusion and the Apache Solr search platform, upon which Fusion is based. SiLK gives users the power to perform ad-hoc search and analysis of massive amounts of multi-structured and time series data. Users can swiftly transform their findings into visualizations and dashboards.
I think I understand. Wrappers of software provide more developer-friendly tools. The may be one slight hitch in the git along. Those familiar with the technology of open source and fluent in the mumbo jumbo jargon that Lucid and other repositioning enterprise search vendors employ may not comprise a giant pool of prospects.
In short, writing wrappers is hard work. Dealing with fusion in an effective manner is harder work. Eliminating the latency that accompanies layers and handoffs is the hardest work of all.
The challenge will be generating substantial organic revenue and having enough profit to satisfy the investors which have been very patient with the Lucidworks outfit. No, really.
Stephen E Arnold, July 23, 2015
Comments
One Response to “Lucidworks (Really?) Does Fusion Too”
The real story here that you missed was that once again Lucid is playing catch-up with Elastic, since Elasticsearch already has Apache Spark integration. 😉 See the following for details: https://www.elastic.co/guide/en/elasticsearch/hadoop/master/spark.html.