Tag Archives: datastage

Data integration software – what makes it easy-to-use?

As with any enterprise software, there are a number of criteria that determine if it is perceived to be easy to use relative to competitive offerings. In this blog entry, I’d like to examine some of the ease of use criteria that any ETL/data integration software should adhere to. Later on, I’d also like to [...]

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Who is expressor’s competition in data integration?

This is an important question which I’d like to address in this blog.  As some of you may already know expressor is primarily targeting medium size SMBs and departmental projects in Global 2000 enterprises. Important sectors in this market are Microsoft-centric SQL Server accounts that are using Microsoft SSIS for standard ETL tasks.  expressor commonly [...]

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expressor vs Informatica / DataStage pricing

We are often asked how expressor’s pricing compares with that of Informatica or IBM InfoSphere DataStage.  So let me take this opportunity and use a practical example for how a sales person of one of these two companies might quote you for an application that includes licenses for your development, QA & test, and production [...]

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Unix as a platform for DI is fading quickly

I am spending significant time and effort right now talking to our customers, partners, and prospects about their computing needs for 2010 and beyond. One of the questions I ask them in my surveys is how important Unix is for running their data integration applications. And what I am hearing loud and clear is that [...]

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what’s so magic about Gartner’s latest Magic Quadrant update?

Gartner recently updated their Magic Quadrant (MQ) for data integration tools and with the exception of one new vendor, who was included based on their free download open source business practices, little has changed, including the top right-hand quadrant. As you would expect, the MQ leadership quadrant continues to be controlled by Informatica and IBM [...]

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semantic rationalization blog series: part 1 – philosophy and approach

Over the next few weeks, I’ll be posting a series of blogs here to answer the most frequently asked question we get here at expressor: “What is semantic rationalization?” It’s obviously a big differentiator for us – but it’s also a concept or phrase not easily parsed to determine a meaning. So we hope you [...]

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new customer: Sybron Dental Specialties

Click here to read the details of our announcement today that Sybron Dental Specialties has chosen the expressor semantic data integration system to improve the quality of its customer data warehouse. Here’s an excerpt: “We were impressed by expressor’s ability to quickly integrate the wide variety of customer data we need to consolidate from our [...]

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A practitioner’s view on data integration worst practices

GMZ875RPMGWT In my last blog, I spoke about some of the best practices in data integration. Today, I’d like to briefly talk about some of the worst practices. These insights come again from Phil Watt, who was the keynote speaker at our Nov 19 webinar on affordable, end-to-end data integration lifecycle management. Paul stated that [...]

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changing the rules of the game

Over the past two weeks we briefed analysts at Gartner Group, Forrester Research and TDWI about our business coming off a strong quarter. End user customers looking for data integration solutions are fortunate to have these analysts. They are smart, work hard and really make an effort to understand IT challenges particularly as it relates [...]

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expressor on semanticweb.com

Nice coverage on semanticweb.com about expressor’s unique approach to data integration and American Tower win.

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