Programmers: Pervasive’s Parallelization Provides Punch, Profit

After 27 years of steady growth, Austin, Texas-based Pervasive (PVSW) has become a $47M annual run rate software provider. Its portfolio includes a “zero admin, light footprint database” (the former BTrieve, now PervasiveSQL), data integration software (for SaaS and on premises applications), and data synchronization products for such apps as salesforce.com, Quickbooks and Microsoft Dynamics CRM. In 2009, it began leveraging its DataRush processing engine as a product, providing a solution for companies that want to take advantage of multicore architectures to drive dramatically enhanced performance on much smaller footprints, for programming data services tasks such as aggregation, de-duplication, cleansing, integration, matching and sorting, as well as data mining and predictive analytics. Read more of this post

Netezza Still Tops ADBMS Insurgents

Netezza’s 2009 so far has demonstrated that its ADBMS leadership is firming up. Several vendors have navigated a difficult year in the general economic sphere and in their own market’s quest for visibility, and Netezza has pushed forward with some aggressive moves from atop the pack. Phil Francisco, Vice President of Product Management and Product Marketing, has just come off an event swing (with Curt Monash as a keynote speaker at most.) Phil reports that the decision to take the story to the customers, instead of relying on their vanishing travel budgets to come to a centralized event, paid off well, with over 1500 interactions.
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IBM Software Partner Programs To Get a Boost From Sandy Carter

Sandy Carter is excited. If you know her, that shouldn’t be a surprise – she’s one of the most enthusiastic, engaging and social media-savvy folks at IBM. And after a couple of years with WebSphere, where she has been an effective leader and evangelist , she’s taken on a new challenge: taking IBM’s already exemplary partner programs to another level. Sandy’s new title is Vice President,  IBM Software Group Channels. Read more of this post