Welcome!

Government Cloud Authors: Elizabeth White, Liz McMillan, Gopala Krishna Behara, Raju Myadam, Kevin Jackson

Related Topics: Open Source Cloud, Microsoft Cloud

Open Source Cloud: Article

JasperSoft Says It's Working with Microsoft

Working With Microsoft On a Series of Initiatives to Optimize Its Suite On Windows Server 2008 and Other Microsoft Technologies

JasperSoft, the open source business intelligence venture – which just last week was rattling off a bunch of numbers contending that it’s “the world’s most widely deployed BI suite” – said from the Open Source Business Conference in San Francisco the other day that it’s “working with Microsoft on a series of initiatives to optimize its suite on Windows Server 2008 and other key Microsoft technologies.”

JasperSoft gets points for courage considering that it was at the Open Source Business Conference last year that Microsoft claimed open source treads on its patents.

Ah, but nowadays Microsoft is presenting a new, more interoperable face to the world and it appears that JasperSoft’s BI Suite is now “Works with Windows Server 2008”-certified.

The company also announced the immediate availability of a new JasperSoft ODBO Connect product that enables Microsoft Excel to be used as a front-end for the JasperAnalysis data analysis server, extending JasperSoft’s existing support for Windows and Microsoft SQL Server platforms.

ODBO is the standard API for exchanging metadata and data between an OLAP server and a Windows client and ODBO Connect is bundled into JasperAnalysis.

In JasperSoft’s press release, Sam Ramji, Microsoft’s resident open source peacemaker, who was cuddling up to Eclipse last week, noted that more than 50% of open source application deployed in the enterprise are running on Windows systems and more than 50% of OLAP deployments use Excel as their client interface.

Which may explain this moment of détente. The two companies need each other.

JasperSoft’s ODBO Connect integrates directly with Excel PivotTable reports via OLE DB for OLAP (ODBO), XML for Analysis (XML/A) and Multidimensional Expressions (MDX) open standards.

Users can analyze data directly in Excel instead of a web browser.

Meanwhile, we asked JasperSoft CEO Brian Gentile how JasperSoft, which claims, like we said, to be the world’s most widely deployed business intelligence suite came to its 80,000 production deployment figure, a number he thinks is conservative and could be 100,000 or even 160,000.

Remember, now, that commercial BI operations like Business Objects and Cognos only claim about 40,000-45,000 production deployments each.

Brian admits the 80,000 is an estimate and was derived from multiplying its 8,000 paying customers – 2,5000 of which were added last year – by 10, figuring that for each paying customer it gets 10-100 people are just using free code.

If it is the most widely deployed BI software around, Jaspersoft still isn’t profitable – one of the hazards of open source – even if subscriptions to the Professional Edition of its BI Suite were up 227% last year – but it’s supposed to be in sight of being cash flow positive – expecting to arrived at that happy state by this time next year provided it can get another 800 paying customers.

That’s why it’s been fussing with its JasperServer making it simpler to install as a punchy add-on to JasperReports. That’s also why Jaspersoft is waving around those deployment claims. It’s looking for attention.

It also says it’s got 65,000 registered developers working on 300-odd Jasper-related projects.

More Stories By Open Source News

Enterprise Open Source News Desk trawls the fast-growing world of Professional Open Source for business-relevant items of news, opinion, and insight.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
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...
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 ...
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...
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...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
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.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...