SOURCE: wot.io

wot.io

January 06, 2015 08:00 ET

wot.io™ Data Service Exchange™ Accelerates Time to Market for Consumer and Industrial IoT Appliances

wot.io Adds Elasticsearch®, Jinfonet Software (JReport), Kibana, MongoDB, Pentaho™, Apache™ Solr, and SQLstream to the 50+ Data Services in the wot.io Data Service Exchange to Benefit Enterprises Creating IoT Solutions

LAS VEGAS, NV--(Marketwired - Jan 6, 2015) - (2015 International CES®) -- The wot.io™ data service exchange™ for connected device platforms is a marketplace of web applications that operates on data from connected devices to enable data aggregation, analysis, and an expansive range of value-added services for enterprise customers. wot.io announced today at the 2015 International CES that it expanded its data service exchange with seven new data services offered by Elasticsearch®, Jinfonet Software (JReport), Kibana, MongoDB, Pentaho™, Apache™ Solr, and SQLstream; and a partnership with Intelligent Product Solutions (IPS), a leading product development organization creating IoT solutions including hardware, application-level software, and firmware development. These partnerships allow enterprises to streamline the design and development of IoT applications, and ultimately improve time to market.

The number of developers involved in IoT activities will surpass three million globally by 2019, according to ABI Research. As the IoT market continues its dramatic growth, developers will need to better aggregate, analyze, visualize, and interact with data. To address this challenge, wot.io has seamlessly integrated the following products:

  • Jinfonet Software, the leading provider of data visualization, delivers JReport, an embeddable business intelligence platform. Within the wot.io environment, JReport equips any user to directly integrate IoT data visualization into their own applications, simplifying the creation of reports, dashboards, and data analytics.
  • Kibana (supported by DataArt), a tool for real-time data analytics and data visualization that works with Elasticsearch.
  • Elasticsearch (supported by DataArt), a search engine based on Lucene that integrates with Kibana creating a solution for real-time data visualization.
  • MongoDB (supported by DataArt), an open source database that uses a document-oriented data model.
  • Pentaho (supported by DataArt), a suite of open source Business Intelligence (BI) products which provide data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities.
  • Apache Solr (supported by DataArt) is an open source enterprise search platform from the Apache Lucene project.
  • SQLstream Blaze, a distributed stream processing platform, enables IoT applications to drive automated actions and real-time streaming analytics dashboards from live sensor and other machine data streams.
  • IPS, a leading product development organization, develops IoT solutions that leverage the wot.io operating environment and its ecosystem to provide hardware and software engineering services for IoT products from ideation to design for manufacturing.

To further help businesses advance the development and time to market of IoT solutions wot.io continues to develop the bip.io Web Automation platform, to deliver simple integration of wot.io's operating environment with business workflow through connectivity to email, productivity and CRM tools including Zoho, Slack, Dropbox, and Google Drive; social apps such as Twitter and Flickr; and syndication feeds such as RSS and Atom. Offering access to over 50 data services through the wot.io data service exchange, bip.io is a free platform open for developers.

wot.io also recently announced a partnership to provide appliance developers a clear path to mass production with Kinoma® Create, a platform for the development of connected device applications. Kinoma developers have access to wot.io's data service exchange.

Comments on the news:

  • Mitch Maiman, president and cofounder of IPS said, "With the wot.io operating environment, we're able to get applications deployed quickly and integrated with data services optimized for production to best serve our industrial, commercial, health services and consumer product customers, enabling them to benefit from their IoT data."
  • Dean Yao, Director of Marketing at Jinfonet Software said, "There is a growing need to understand data through visualization, analysis and discovery across different types of connected device platforms. We're excited to team up with wot.io to bring this value to the IoT."
  • Damian Black, CEO of SQLstream said, "For IoT data to drive business value, companies must manage vast volumes of data in motion. Through our participation in wot.io's data service exchange, we are equipping organizations to realize the full value of real-time data sets, and enabling industry applications from intelligent transportation, logistics, and asset management to emergency notification systems and Smart Cities.
  • Allen Proithis, president and cofounder of wot.io said, "It takes a village to raise an IoT solution, often made up of data services ranging from design to analytics to hosting. As wot.io expands its data service partners, we are enabling choice and flexibility so IoT players can select the best services for their solution, regardless of vendor, device or standard."

About wot.io
Founded in 2014, wot.io offers a data service exchange for connected device platforms. The company solves the data integration challenge for organizations operating in the Internet of Things and Machine to Machine (M2M) industry by unlocking data value from disparate connected device platforms. wot.io partners with data service providers to drive business ROI through platform-integrated data retention, device management, data management, analytics, business intelligence and social media offerings.

wot.io, bip.io, and data service exchange are trademarks of WoT.io, Inc. Kinoma is a registered trademark of Marvell. All other company or product names, brands, trademarks, and logos are the property of their respective owners. All rights reserved.

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