Lucid Imagination Expands Beyond Search with Big Data Application Development Platform

Lucid Imagination expanded its horizons today with the beta release of a new Big Data platform that merges two distinct but complimentary capabilities – Big Data processing/analytics and Big Data search.

LucidWorks Big Data combines Lucene/Solr, the open source, scalable search technology, with Hadoop in one platform for building end-user applications that leverage both structured and unstructured data sets. It includes support for Mahout and R for machine learning and advanced analytics, respectively.

The platform is optimized for cloud deployments but can also be deployed on-premise, and includes a secure REST API for application integration and administration, according to the company.

The company envisions typical deployments to play out this way:

With LucidWorks Big Data, Lucid Imagination equips technologists and business users with the ability to initially pilot Big Data projects utilizing technologies such as Apache Lucene/Solr, Mahout and Hadoop, in a cloud sandbox. Once satisfied, the project can remain in the cloud, be moved on premise or execute within a hybrid configuration.

If you’re not familiar with Lucid Imagination, the company commercializes the open source Lucene/Solr distributed search platform. When I spoke with CEO Paul Doscher back in January, he told me his company’s mission is to make Lucene/Solr enterprise ready for application development purposes by adding ranking and relevancy capabilities, better user interface tools, and tighter security to the open source core.

Our secret sauce, Doscher told me, is that we have optimized Lucene/Solr to be more efficient. Specifically, the LucidWorks platform allows users to search large volumes of Big Data on less hardware than vanilla Apache Lucene/Solr and/or proprietary enterprise search technologies which translates into lower cost, he said.

With the new platform, Lucid Imagination is clearly attempting to beef up its capabilities to be viewed as a more comprehensive Big Data application development platform rather than just a Big Data enterprise search-based application development platform. That’s a good move, as increasingly the value of Big Data is coming from applications built on top of the infrastructure – be it Hadoop, Lucene/Solr or other approach — rather than the plumbing itself.

Below check out Doscher when he visited theCUBE at Strata Conference back in March.

About Jeffrey Kelly

As Wikibon’s lead Big Data analyst, Jeff Kelly applies a critical eye to trends and developments in the Big Data and business analytics markets, with a strong focus on helping practitioners deliver business value. Jeff’s research includes market analysis, emerging technologies, enterprise Big Data case studies, and more. He also appears frequently on theCUBE to share his insights. Prior to joining Wikibon, Jeff spent seven years as a writer and editor at TechTarget, where covered a number of business and IT topics including IT services, mobile computing, data management and business intelligence. He holds a BA from Providence College and an MA from Northeastern University.