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Company Overview of Pentaho Corporation
Pentaho Corporation provides data integration and business analytics platforms. It offers a data integration platform that provides tools to analyze, visualize, explore, report, and predict data; and a business analytics platform that enables business users to access, discover, and blend various types and sizes of data, as well as provides interactive visual analysis tools, graphical and responsive dashboards, solutions for reporting, streamlined management and administration tools, data integration tools, and predictive analytics tools. The company’s business analytics platform also offers Pentaho Instaview that provides a big data analytics tool for the big data stores, broadens data acces...
5950 Hazeltine National Drive
Orlando, FL 32822
Founded in 2004
Key Executives for Pentaho Corporation
Chairman and Chief Executive Officer
Co-Founder, Chief Geek and Chief Technology Officer
Co-Founder and Chief Engineer
Co-Founder and Big Data Product Manager
Compensation as of Fiscal Year 2015.
Pentaho Corporation Key Developments
Pentaho Announces Pentaho 5.4
Jun 9 15
Pentaho announced support for integration with two popular big data technologies, Amazon Elastic MapReduce (EMR) and SAP HANA. Available on June 9, 2015, Pentaho 5.4 offers new capabilities that build on a pragmatic and future-proof platform for big data orchestration and analytics at scale, further empowering organizations to drive value with Pentaho’s Big Data Blueprint use case designs. In Pentaho 5.4 customers can now use Amazon EMR to natively transform and orchestrate data as well as design and run Hadoop MapReduce in-cluster on EMR. IT organizations now have new and powerful ways to operationalize a cloud-based data refinery architecture for on-demand governed delivery of data sets. Enterprises can now leverage SAP HANA’s high-performance capabilities on a wider variety of data. Pentaho 5.4’s integration with SAP HANA enables governed data delivery across multiple structured and unstructured sources. Enterprises running Hadoop find that data variety and volumes increase over time, making reliable performance and scalability mission-critical priorities. Pentaho recently executed a controlled study that demonstrates sustained processing performance of Pentaho MapReduce running at scale on a 129-node Hadoop cluster. The results build on the value of the Pentaho platform, delivering high performance processing at enterprise scale in big data deployments. Additional capabilities and enhancements in Pentaho 5.4 include: Integration of Pentaho Data Integration (PDI) with Apache Spark, enabling orchestration of Spark jobs, new APIs to simplify embedding analytics into business applications and processes, a refreshed, modern look for Pentaho Data Integration and ability to localize Pentaho in French, German and Japanese.
Pentaho Corporation to Deliver on Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera
Feb 17 15
Pentaho Corporation announced it has opened its data refinery - which transforms raw data into actionable information - to Amazon Redshift and Cloudera Impala™. By harnessing the best of cloud and big data ecosystems, Pentaho's latest version, Pentaho Business Analytics 5.3, offers a pragmatic approach to big data analytics at scale. Enterprise organizations can enjoy the benefits of two major IT initiatives: big data analytics and cloud computing. Pentaho 5.3 helps customers realize the insights and competitive advantages gained from big data, while providing a cloud delivery model that is cost-effective, enhances business agility, and increases productivity.
Pentaho Corporation Announces the General Availability of Version 5.1 of its Business Analytics and Data Integration Platform
Jun 24 14
Pentaho Corporation announced the general availability of version 5.1 of its business analytics and data integration platform, offering companies enhanced capabilities to scale up their big data operations. Building upon the foundation of enterprise big data blueprints, the Pentaho 5.1 platform enables companies large or small to take full advantage of big data without having to endure a lengthy, specialized process that often proves a barrier to entry to big data. Big data technologies have made it easy and cost-effective for businesses to store high data volumes, but companies often do not initially consider the end game of analytics. This disconnect requires specialized IT skills later in the data 'production line,' resulting in increased cost and delays in making information available to data scientists and decision-makers. Pentaho 5.1 helps to bridge the data-to-analytics divide by offering code-free analytics directly on MongoDB, accelerating and simplifying the data preparation process for data scientists and offering full support for YARN. Analytics on MongoDB with zero coding: The release enables MongoDB data collections to be analyzed directly 'at the source,' eliminating hand-coding and having to prepare data in a staging area. This gives modern, big data-driven companies greater capacity to make reliable insights faster, using fewer specialist skills. Operationalizing R and Weka for data scientists: Pentaho 5.1 further removes barriers to large-scale analytics with the availability of its new Data Science Pack, announced earlier this month. The Pack equips data analysts and scientists with everything they need to rapidly build a '360 degree customer view' that blends different data sources, like social and MongoDB, and enable advanced analytics like churn prediction and customer sentiment. Further, the Pack allows data scientists to focus on high value, advanced and predictive analytics by dramatically reducing the time it takes to prepare data for analysis. Full YARN Support: YARN integration, announced earlier this year by Pentaho Labs, is now enterprise-ready in Pentaho 5.1. Pentaho developers familiar with Pentaho Data Integration can easily exploit the full computational power of Hadoop, without having to write complex MapReduce code. With YARN, Pentaho Data Integration jobs can make elastic use of Hadoop resources, expanding and contracting as data volumes and processing requirements change. YARN's advanced resource management capabilities support mixed Pentaho workload scenarios where continuous data transformation and analysis is required.
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