May 30, 2016 1:57 PM ET

Internet Software and Services

Company Overview of Pentaho Corporation

Company Overview

Pentaho Corporation, a data integration and business analytics company, provides open source-based platform for various big data deployments. The company offers a data integration platform that provides tools to analyze, visualize, explore, report, and predict data. Its platform provides big data analytics tools to extract, prepare, and blend data; data integration tools to prepare and blend data to create a picture of business that drives actionable insights; embedded analytics solutions for embedding into and integrating with applications, portals, and processes; business analytics solutions to enable business users to access, discover, and blend various types and sizes of data; cloud busi...

5950 Hazeltine National Drive

Citadel International

Suite 340

Orlando, FL 32822

United States

Founded in 2004





Key Executives for Pentaho Corporation

Chairman and Chief Executive Officer
Age: 57
Co-Founder and Chief Technology Officer
Age: 61
Co-Founder and Chief Engineer
Founder and Director
Compensation as of Fiscal Year 2015.

Pentaho Corporation Key Developments

Pentaho Introduces Pentaho 6.1

Pentaho announced new enhancements to its metadata injection feature set, which substantially reduces development time for data onboarding use cases in both traditional and Hadoop environments. Pentaho 6.1 accelerates the big data analytics pipeline by simplifying this notoriously difficult process, adding capabilities to drive more agile and automated big data analytics at scale. Easing the toughest big data pipeline bottleneck Modern big data onboarding is more than just data loading or movement. It includes managing a changing array of data sources, capturing metadata, making processes repeatable at scale and ensuring control and governance. These challenges are compounded in big data environments like Hadoop. In Pentaho 6.1, IT professionals who struggle with data onboarding now have a wider array of options for dynamically passing metadata to Pentaho Data Integration at run time to control complex transformation logic. Teams can now drive hundreds of data ingestion and preparation processes through just a few transformations, heavily accelerating time to delivery of governed analytics-ready data sets and business insights. Typically, data onboarding is a highly repetitive, manual and risk-prone process that creates a bottleneck in the data pipeline. Before Pentaho’s metadata injection approach, companies could only ease this bottleneck by applying significant internal data engineering resources. In addition to the new features in 6.1, Pentaho introduced a new self-service data onboarding blueprint. This architected process enables business users and customers to onboard a variety of data themselves "without IT assistance "streamlining the data ingestion process. At the core of this latest Pentaho blueprint is its exclusive metadata injection functionality. Pentaho 6.1 adds several more enhancements to its data integration and analytics platform to help enterprises scale their data pipelines to accommodate greater volume, variety, and complexity of data. Highlights include: Improvements to Pentaho’s inline modeling capabilities, which now provide greater ability to derive and share new business metrics among users. New data service improvements, which allow users to produce virtual data sets across a wider array of data blends and automatically model and publish analytic data without the need for a physical table.

Traditional Industry Dominates Pentaho's First IoT Customer Wave

Pentaho announced customers such as Halliburton Landmark, IMS and KDS are using Pentaho’s enterprise-grade platform to reimagine established industries to drive greater value inside and outside of their organizations. Leveraging Pentaho to blend, integrate and orchestrate machine generated big data and deliver for analytics embedded at the point of impact. The Pentaho platform is perfectly suited to help customers unblock and unlock the value of IoT with the ability to manage pipelines of data and blend and deliver data to end-users within their application workflows.

Pentaho to Preview Version 6.0 of its Big Data Integration and Analytics Platform

Pentaho will preview version 6.0 of its big data integration and analytics platform that will be generally available on October 14, 2015 at PentahoWorld. The new 6.0 software release includes the first version of the Pentaho enterprise-class server with features designed to automate, manage and enhance every stage of the analytic data pipeline. This version takes customers closer to Pentaho’s bold vision for governed data delivery the ability to blend trusted and timely data of any type to power analytics at scale. Flexible options for putting data to work, as big data matures in the workplace, a spectrum of data architectures has emerged to serve different use cases. At one end, traditional data warehouses host prepared, structured data; at the other, data lakes provide a repository for raw, native data. Data refineries, which transform raw data, and provide the ability to incorporate data sources that are too varied or fast-moving to stage in the data lake, sit between these on the spectrum. As use cases evolve, enterprises can rest assured that with Pentaho 6.0 data will be appropriately governed and efficiently delivered at any stage of the pipeline to any user or application. Companies, however, need software that can efficiently manage the process flow of multiple diverse data sources in a scalable manner to create the unified analytic data sets that lead to insight. This is one of the most effective ways to provide the value needed and expected by management. In this latest release, Pentaho 6.0 addresses not only the need to manage the process flow, but also to help automate the entire analytic data pipeline. Making the big blend a reality, Pentaho 6.0 offers new data services and delivery options to: Blend and virtualize datasets on the fly for faster access and flexibility when mashing up data. Support data blending at scale with enhanced ‘push down optimization,’ where data transformations can be pushed’ to the most efficient processing resource. Easily shape even the most complex data. Track and store data lineage details each time a process executes. Improve collaboration capabilities for sharing data discovery findings with improved inline modeling capabilities (round-trip model editing). Taming the analytic data pipeline, Pentaho 6.0 strengthens the Pentaho platform to manage expanding data pipelines with: New data lineage capabilities to help users understand data origin. Deeper integration with SNMP through major enhancements to systems monitoring for better enterprise visibility. Upgraded and enhanced Spring Security, the Java/Java EE framework that provides authentication, authorization and other security features for enterprise applications. Improved Data Services caching for optimal performance of virtualized datasets. Support for OSGI specification, a modular system and a service platform for Java. Data-driven organizations can be sure that their data is appropriately governed and delivered at the point of impact, whether consumed by an internal user, external user or third party application. Pentaho 6.0 will be available to download on October 14, 2015 at PentahoWorld in Orlando Florida. PentahoWorld attendees will have the opportunity to see 6.0 in action and learn first-hand from its creators how to tame their data flows.

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