IBM's anchor database technology's new infusion of AI support comes years after the company's Watson AI famously beat Jeopardy champion Ken Jennings.

Jessica Davis, Senior Editor

June 4, 2019

3 Min Read
<p>(Image: 3alexd/iStockphoto)</p>

In an early demonstration that raised visibility of what AI can do, IBM's Watson famously beat human Jeopardy super champion Ken Jennings and another player all the way back in 2011. But what about the rest of IBM's software? While IBM had Watson out in front demonstrating the power of AI, that didn't necessarily mean the rest of the company's software was infused with artificial intelligence back then.

But eight years is a long time in the technology industry. Today, IBM is announcing that Db2 version 11.5 will now include a number of new features that bring its database management system (DBMS) into the age of artificial intelligence. IBM is not alone among database vendors in putting an emphasis on AI, according to Gartner analyst and VP Merv Adrian.

"Every DBMS vendor is rushing to talk about how they support AI and machine learning for a very good reason: it’s all about the data -- its breadth, its quality, and the performance of the vehicle that delivers it to the engines used," Adrian told InformationWeek.

For instance, last summer Oracle announced availability of Oracle Autonomous Database, which incorporates machine learning into database administration and maintenance. That need to incorporate AI extends beyond databases to the applications that rely on them, too. ERP giant SAP also added more AI to its enterprise software earlier this year.

"IBM has been a leader in developing some of the technologies in these new areas in recent years, especially with Watson," Adrian said

Yet there is a great deal of new competition in the database market. IBM is going up against traditional competitors such as Oracle, and also up against newer market entries such as AWS and other cloud database providers.

A Gartner Magic Quadrant report for Operational Database Management Systems released in October 2018 notes that three vendors -- IBM, Microsoft, and Oracle -- accounted for 84% of the DBMS revenue in 2011. Today, those three vendors account for 71% of the market revenue, and only Microsoft has outpaced the market's growth, with 18% of the market. Cloud adoption is transforming the market, according to Gartner, with 73% of DBMS growth attributable to two vendors: AWS and Microsoft.

"IBM's recent results have not been encouraging," Adrian said. "It lost the No. 3 position in DBMS revenue this year to Amazon. It's adoption for new projects has lagged."

But the addition of AI to IBM's Db2 is a positive step and may help the company's database compete in this new era.

The new version of Db2 will include support for drivers of open source programming languages frequently used in machine learning, such as Go, Ruby, Python, PHP, Java, Node.js, and Sequelize. DB2 is also getting the Augmented Data Explorer, a natural language querying feature that lets users more easily query the database. Query results are delivered as data visualizations and summaries written in natural language, according to IBM.

Will this be enough to retain Db2's installed base or even gain against the growing competition?

"This is one place IBM’s expertise might align with growing demand," Adrian said. "It could be a positive step, but a lot will depend on how effectively the company communicates and sells its value to buyers less interested with 'legacy' DBMS vendors than ever before."

Read these articles to learn more about AI in the enterprise:

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Data Science: A Guide to Careers and Team Building

ERP Giants SAP and Oracle Add AI to Platforms

SAS Lays Out AI, Machine Learning Enhancements

About the Author(s)

Jessica Davis

Senior Editor

Jessica Davis is a Senior Editor at InformationWeek. She covers enterprise IT leadership, careers, artificial intelligence, data and analytics, and enterprise software. She has spent a career covering the intersection of business and technology. Follow her on twitter: @jessicadavis.

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