Compare Azure Data Factory vs. IBM InfoSphere DataStage

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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 2021.
456,249 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.""The solution has a good interface and the integration with GitHub is very useful.""The user interface is very good. It makes me feel very comfortable when I am using the tool.""From what we have seen so far, the solution seems very stable.""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.""The most valuable features are data transformations.""Powerful but easy-to-use and intuitive."

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"The solution has improved the time it takes to perform tasks related to batch applications.""The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed.""The most valuable feature is the ability to transfer information via notes.""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 data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need.""The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.""The most valuable feature is the product's versatility to inject data.""Finding logs is very easy on the solution."

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Cons
"The thing we missed most was data update, but this is now available as of two weeks ago.""In the next release, it's important that some sort of scheduler for running tasks is added.""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.""The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.""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 speed and performance need to be improved.""The product could provide more ways to import and export data.""The Microsoft documentation is too complicated."

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"The solution should be more user-friendly.""The interface needs work to be more user-friendly.""The documentation and in-application help for this solution need to be improved, especially for new features.""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.""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.""Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions.""The interface needs improvement. It is really too technical. That is the main problem.""The template mapping could be easier."

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Pricing and Cost Advice
"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.""Our licensing fees are approximately 15,000 ($150 USD) per month.""This is a cost-effective solution.""The price you pay is determined by how much you use it.""Understanding the pricing model for Data Factory is quite complex.""I would not say that this product is overly expensive."

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"Pricing varies based on use, and it is not as costly as some competing enterprise solutions.""Small and medium-sized companies cannot afford to pay for this solution.""The cost is too high.""It's very expensive."

More IBM InfoSphere DataStage Pricing and Cost Advice »

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Comparisons
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Reviews
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Average Words per Review
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Rating
7.8
5th
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Reviews
12
Average Words per Review
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Rating
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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.
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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
REVIEWERS
Insurance Company22%
Computer Software Company22%
Healthcare Company11%
Logistics Company11%
VISITORS READING REVIEWS
Computer Software Company41%
Comms Service Provider13%
Energy/Utilities Company6%
Insurance Company5%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider15%
Financial Services Firm8%
Insurance Company7%
Company Size
REVIEWERS
Small Business26%
Midsize Enterprise22%
Large Enterprise52%
REVIEWERS
Small Business43%
Midsize Enterprise5%
Large Enterprise52%
Find out what your peers are saying about Azure Data Factory vs. IBM InfoSphere DataStage and other solutions. Updated: January 2021.
456,249 professionals have used our research since 2012.

Azure Data Factory is ranked 4th in Data Integration Tools with 18 reviews while IBM InfoSphere DataStage is ranked 5th in Data Integration Tools with 12 reviews. Azure Data Factory is rated 7.8, while IBM InfoSphere DataStage is rated 8.0. The top reviewer of Azure Data Factory writes "Comprehensive and user-friendly". 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 Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services and Denodo, whereas IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio, Informatica PowerCenter, IBM InfoSphere Information Server and Oracle Data Integrator (ODI). See our Azure Data Factory vs. IBM InfoSphere DataStage report.

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