Tag Archives: informatica

Free vs open-source ETL. Is there a difference?

The ETL / data integration market is constantly evolving and open source vendors have been leading the charge in providing some and in some instances all of their software for free. Those who chose to charge for just maintenance and services only have a hard time making their business models work. Those like Talend who [...]

Posted in Competition, Data Processing, Ease-of-use, expressor, expressor Studio, Open Source ETL, Traditional ETL | Also tagged , , , , Leave a comment
 

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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why expressor is the better choice than Informatica for HCI

I am not surprised to see Informatica begin to target the Healthcare market by launching a dedicated Healthcare practice.  Their recent announcement actually validates our go-to-market focus around Healthcare Informatics, which we launched last year and where we are seeing a fast growing demand for affordable, enterprise-class data integration software.  We recently blogged about expressor’s [...]

Posted in Competition, Data Processing, expressor, Healthcare Informatics, Semantic Integration, Traditional ETL | Also tagged , , 1 Comment
 

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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why expressor’s data mapping approach is different?

In my last blog, I wrote about the state of the traditional data integration market.   In today’s blog, I’d like to discuss why expressor’s approach to data mapping is different from traditional ETL/DI tools and what the benefits of our approach are. In expressor’s unique semantic rationalization approach, a data steward “maps” the external (technical) [...]

Posted in Collaborative / Role-based, Data Transformation, expressor, Scripting, Semantic Integration | Also tagged , , , , Leave a comment
 

state of the traditional data integration market

This blog outlines the current state of the data integration market in terms of what methods and tools are being used.

Posted in Collaborative / Role-based, Competition, Data Transformation, expressor, Semantic Integration | Also tagged , , Leave a comment
 
 

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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