Compare Azure Data Factory vs. IBM InfoSphere DataStage
Azure Data Factory is ranked 7th in Data Integration Tools with 10 reviews while IBM InfoSphere DataStage is ranked 3rd in Data Integration Tools with 10 reviews. Azure Data Factory is rated 8.2, while IBM InfoSphere DataStage is rated 8.0. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "Powerful, reliable and the ability to run it in parallel mode makes it very fast". Azure Data Factory is most compared with Talend Open Studio, Informatica Enterprise Data Catalog and Informatica PowerCenter, whereas IBM InfoSphere DataStage is most compared with SSIS, Informatica PowerCenter and Talend Open Studio. See our Azure Data Factory vs. IBM InfoSphere DataStage report.
Most Helpful Review | |||
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 Find out what your peers are saying about Azure Data Factory vs. IBM InfoSphere DataStage and other solutions. Updated: January 2020. 397,983 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 | |
It is easy to deploy workflows and schedule jobs. From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature. It is a complete ETL Solution. Powerful but easy-to-use and intuitive. The most valuable features are data transformations. Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good. From what we have seen so far, the solution seems very stable. The user interface is very good. It makes me feel very comfortable when I am using the tool. | ETL is the most valuable feature. Finding logs is very easy on the solution. The most valuable feature is the product's versatility to inject data. The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable. The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need. DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too. The most valuable feature is the ability to transfer information via notes. The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed. |
Cons | |
The setup and configuration process could be simplified. The user interface could use improvement. It's not a major issue but it's something that can be improved. The Microsoft documentation is too complicated. The product could provide more ways to import and export data. The speed and performance need to be improved. On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels. The solution needs to integrate more with other providers and should have a closer integration with Oracle BI. The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way. | There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for. The template mapping could be easier. The interface needs improvement. It is really too technical. That is the main problem. Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions. We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great. I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers. The documentation and in-application help for this solution need to be improved, especially for new features. The interface needs work to be more user-friendly. |
Pricing and Cost Advice | |
This is a cost-effective solution. Our licensing fees are approximately 15,000 ($150 USD) per month. In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal. | Small and medium-sized companies cannot afford to pay for this solution. Pricing varies based on use, and it is not as costly as some competing enterprise solutions. High-cost of ownership: They could take a page from open source software. |
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Ranking  | |
Views 6,172 Comparisons 4,825 Reviews 10 Average Words per Review 456 Avg. Rating 8.1 | Views 16,262 Comparisons 13,023 Reviews 10 Average Words per Review 572 Avg. Rating 8.0 |
Top Comparisons | |
 Compared 13% of the time.  Compared 11% of the time. Compared 10% of the time. |  Compared 20% of the time. Compared 19% of the time. Compared 13% 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 |
Top Industries | |
Software R&D Company50% Comms Service Provider9% Insurance Company5% Manufacturing Company4% | Software R&D Company38% Comms Service Provider14% Government9% Insurance Company9% |
Find out what your peers are saying about Azure Data Factory vs. IBM InfoSphere DataStage and other solutions. Updated: January 2020.
397,983 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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