Companies using IBM InfoSphere DataStage

We have found 785 companies that use IBM InfoSphere DataStage. Our data for IBM InfoSphere DataStage usage goes back as far as 1 years and 10 months.

52% of IBM InfoSphere DataStage customers are in United States. Of all the companies that are using IBM InfoSphere DataStage, 18% are small (<50 employees), 34% are medium-sized and 42% are large (>1000 employees). Looking at IBM InfoSphere DataStage customers by industry, we find that Computer Software (17%), Information Technology and Services (15%) and Banking (6%) are the largest segments.

Did you know that IBM InfoSphere DataStage customers are also likely to use IBM InfoSphere Platform and IBM InfoSphere Information Server?

Who uses IBM InfoSphere DataStage?

Here are the top companies that use IBM InfoSphere DataStage :
Logo Company Website Signal Strength Scan Date
Logo of International Business Machines, IBM InfoSphere DataStage client International Business Machines 2017-08-08
Logo of Adastra Corporation, IBM InfoSphere DataStage client Adastra Corporation 2017-08-08
Logo of Ally Financial, IBM InfoSphere DataStage client Ally Financial 2017-08-08
Logo of FOCUS Business Solutions, Inc., IBM InfoSphere DataStage client FOCUS Business Solutions, Inc. 2017-08-08
Logo of Recreational Equipment, Inc., IBM InfoSphere DataStage client Recreational Equipment, Inc. 2017-08-08

IBM InfoSphere DataStage Market Share and Competitors in Data Integration

We use the best scanning techniques combined with advanced data science to monitor the market share of over 5,000 technology products, including Data Integration. In the Data Integration category, IBM InfoSphere DataStage has a market share of about 3.9%. Other major and competing products in this category include:

What is IBM InfoSphere DataStage?

IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.