Welcome!

Containers Expo Blog Authors: Liz McMillan, Pat Romanski, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui

News Feed Item

LucidWorks Big Data Now Available

Successful Beta Program Fuels Industry's First Integrated Application Development Platform for Big Data Killer Apps

REDWOOD CITY, Calif., Nov. 15, 2012 /PRNewswire/ -- Many organizations developing Big Data applications first focus on trying to control, manage and secure the burgeoning volumes of data being generated. However, that step just scratches the surface of unlocking the data's ability to power competitive advantage. It is only when these multi-structured data stores become accessible to search and discovery that the information is transformed into corporate assets from which business insights can be derived and true value can be delivered to the organization. To develop these insights, robust search capability must be built into Big Data applications from the beginning, not added on as an after-thought.

LucidWorks, the trusted name in Search, Discovery and Analytics, today announced the general availability of LucidWorks Big Data™, an application development platform that integrates search capabilities into the foundational layer of Big Data implementations. Built on a foundation of key Apache open source projects, LucidWorks Big Data enables organizations to quickly uncover, access and evaluate large volumes of previously dark data in order to make more informed, better business decisions. Using LucidWorks Big Data, organizations have been able to attain insights that were previously locked away in their vast data stores, honing their competitive edge and slashing the time it takes to meet their organizations' goals.

LucidWorks Big Data Makes an Impact

The release of LucidWorks Big Data follows a comprehensive and highly collaborative beta program through which the product's integrations, scalability, usability and APIs were rigorously tested.

"Computing for Disasters is an initiative that has the potential to revolutionize our nation's preparedness and resilience in the face of future disasters by adopting a computational perspective to fundamental scientific, engineering, and social barriers to disaster management and related research.  To collect, manage, and analyze a diverse range of data sources takes a comprehensive big data architecture that offers a powerful search engine at its core.  We made the decision to take advantage of the LucidWorks Big Data platform because it offers key capabilities in a tightly integrated solution."
 - Dr. Edward Fox, Professor, Virginia Tech Department of Computer Science

"Bright Planet is a pioneer in Deep Web Intelligence, offering our customers the ability to perform deep harvesting of public information that lies beneath the surface of the web.  Our customers span across both public and private sectors.  We made the decision to work with the LucidWorks Big Data platform because of its ability to seamlessly and quickly gather large amounts of information from a variety of different sources (in addition to the web) – and then offer it to our patented deep harvesting search technology. We believe that the combined capability will offer valued solutions to organizations across both private and public sectors."
 - Steve Pederson, CEO and Chairman, BrightPlanet Corporation

"At OpenSource Connections, we spend a lot of time building infrastructure around Solr in order to continually enhance enterprise search capabilities. LucidWorks has all of that right out-of-the-box. One of the killer features for me is the ability to use any of the LucidWorks Search connectors to ingest data into a cluster, perform analytics on it, and use those results to improve search and data discovery. I've spent months building that sort of thing from scratch, and in LucidWorks Big Data I can do it in about five service calls."
 - Scott Stults, Founder and Solutions Architect, OpenSource Connections

With the general availability of LucidWorks Big Data, organizations can now utilize a single platform for their Big Data search, discovery and analytics needs. Designed to be ready out-of-the-box, LucidWorks Big Data is the industry's only solution that combines the power of multiple Apache open source projects, including Hadoop, Mahout, Hive and Lucene/Solr, to provide search, machine learning, recommendation engines and analytics for structured and unstructured content in one complete solution available in the cloud, on premise or as a hybrid solution.

The LucidWorks Big Data platform includes all of the necessary open source components, pre-integrated and certified, as indicated in this diagram. LucidWorks equips technologists and business users with the ability to initially pilot Big Data projects on premise or in the cloud. This means that organizations can avoid the staggering overhead costs and long lead times associated with infrastructure and application development lifecycles while assessing product fit.

LucidWorks Big Data is the only complete development platform that includes:

  • A unified development platform for developing Big Data applications
  • A certified and tightly integrated open source stack:  Hadoop, Lucene/Solr, Mahout, NLP, Hive
  • Single uniform REST API
  • Out-of-the-box provisioning – cloud or on premise
  • Pre-tuned software by open source industry experts

"Working closely with our beta customers, we've witnessed the significant business value that they've achieved through their LucidWorks Big Data projects," said Paul Doscher, president and CEO of LucidWorks. "LucidWorks Big Data helps companies leap forward by uncovering trends and insights they never would have been able to leverage previously. Whether it's growing revenue, expanding into new markets or increasing customer satisfaction, LucidWorks Big Data helps companies achieve their business goals by extracting, analyzing and quickly acting on critical operational information from their ever-compounding collection of data."

LucidWorks Big Data will be available for download by mid-December.  To sign up for notification, visit http://www.lucidworks.com/products/lucidworks-big-data.  To learn more about LucidWorks Big Data, please visit www.lucidworks.com, email [email protected] or call (650) 353-4057.

Resources

About LucidWorks (Formerly Lucid Imagination)

LucidWorks is the only company that delivers enterprise-grade search development platforms built on the power of Apache Lucene/Solr open source search. Out of the 37 Core Committers to the Apache Lucene/Solr project, eight individuals work for LucidWorks, making the company the largest supporter of open source search in the industry. Customers include AT&T, Sears, Ford, Verizon, Cisco, Zappos, Raytheon, The Guardian, The Smithsonian Institution, Salesforce.com, The Motley Fool, Qualcomm, Taser, eHarmony and many other household names around the world. LucidWorks' investors include Shasta Ventures, Granite Ventures, Walden International and In-Q-Tel. Learn more about the company at www.lucidworks.com.

SOURCE LucidWorks

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
"The Striim platform is a full end-to-end streaming integration and analytics platform that is middleware that covers a lot of different use cases," explained Steve Wilkes, Founder and CTO at Striim, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.