NEW YORK -– Although Linux is making inroads into the infrastructure layer of Wall Street, does open source enjoy the same success beyond Linux?
The evidence is mixed, according to a panel discussion during the Linux On Wall Street conference here.
“Linux has proven that on the operating systems side, there is a comfort level with open source. The same can be said of Eclipse with developer tools,” said Monica Kumar, Oracle’s senior director of product marketing for Linux and Open Source. “Do customers have the same level of comfort when it comes to CRM or ERP? We don’t think so.”
It would have been easy to dismiss Kumar’s comments, given that her employer is a proprietary vendor of CRM and ERP solutions. But she did strike a chord with some panelists.
Omer Soykan, senior vice president of Jefferies & Company, talked about the balance the investment firm is striking with open source application adoption, such as with Customer Relationship Management applications.
“There wasn’t anyone that fit with open source,” Soykan said. “It depends on what the vendors tell us, what’s available in their product soup. We didn’t make a conscious decision to not choose open source. For CRM, it just wasn’t available.”
Venu Pemmaraju, senior investment manager for Intel Capital, also took a measured viewpoint on the adoption of open source applications beyond Linux.
“Open source is just a delivery method and at the end of the day it needs to solve a problem,” Pemmaraju said. “On infrastructure, enterprises are comfortable with open source but to get a Wall Street level of acceptance on applications they need to have more features.”
Pemmaraju is a venture capitalist investing in open source technologies. In addition to potential barriers to adoption on the end-user side, he noted that as an investor, his firm looks at key criteria when evaluating open source companies.
“The challenge is that with open source, there is a component that is free,” Pemmaraju said. “So the question is whether the non-free part is valuable enough that it’s a sustainable company?”
Then there is the question about potential legal risk of dealing with open source .
“Every time we deal with open source it has to go through our legal department almost twice,” Soykan said. “We have to make sure that we have capability to continue on with the product. It is an issue that we look at under a strong magnifying glass.”
451 Group analyst Raven Zachary noted that patents will become an even bigger legal issue for enterprises to consider once the next version of the General Public License comes out. GPL v3 will introduce new patent clauses that could serve to bring patent issues even more to the forefront.
“It’s naive for all of us to think that there isn’t code infringement out there today,” Zachary said. “Most cases are resolved prior to litigation but at some point there will be a US court case, quite likely we’ll see some case law after GPL v3 is out.”
This article was first published on InternetNews.com. To read the full article, click here.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.