Azure Data Factory vs. IBM InfoSphere DataStage
As of May 2019, Azure Data Factory is ranked 17th in Data Integration Tools with 1 review vs IBM InfoSphere DataStage which is ranked 10th in Data Integration Tools with 1 review. The top reviewer of Azure Data Factory writes "Data Flow and Databricks are going to be extremely valuable services". The top reviewer of IBM InfoSphere DataStage writes "Its parallel processing capability allows you to go through extremely large data sets in no time at all". Azure Data Factory is most compared with Informatica Enterprise Data Catalog, Dell Boomi AtomSphere and StreamSets. IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio and Informatica PowerCenter.
Most Helpful Review | |
 Find out what your peers are saying about Oracle, Informatica, Microsoft and others in Data Integration Tools. Updated: May 2019. 339,601 professionals have used our research since 2012. | |
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily. Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added. | Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job. |
Cons | |
The thing we missed most was data update, but this is now available as of two weeks ago. | Working with some of the big data components is good, but I can see improvements are needed. |
Pricing and Cost Advice | |
Information Not Available | High-cost of ownership: They could take a page from open source software. |
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Ranking  | |
Views 431 Comparisons 373 Reviews 1 Average Words per Review 259 Avg. Rating 9.0 | Views 14,093 Comparisons 9,140 Reviews 1 Average Words per Review 597 Avg. Rating 8.0 |
Top Comparisons | |
 Compared 15% of the time.  Compared 14% of the time.  Compared 13% of the time. |  Compared 22% of the time.  Compared 18% of the time. Compared 15% of the time. |
Learn | |
| Microsoft | IBM |
Overview | |
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security. | 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. |
Offer | |
Learn more about Azure Data Factory | Learn more about IBM InfoSphere DataStage |
Sample Customers | |
| Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid | Dubai Statistics Center, Etisalat Egypt |
Find out what your peers are saying about Oracle, Informatica, Microsoft and others in Data Integration Tools. Updated: May 2019.
339,601 professionals have used our research since 2012.
See also Azure Data Factory Reviews, IBM InfoSphere DataStage Reviews, and our list of Best Data Integration Tools Companies.
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