What users are saying about
53 Ratings
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Score 8.6 out of 100
25 Ratings
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Score 8.3 out of 100

Feature Set Ratings

  • Azure Data Factory ranks higher in 1 feature set: Data Source Connection
  • IBM InfoSphere DataStage ranks higher in 3 feature sets: Data Transformations, Data Modeling, Data Governance

Data Source Connection

9.1

Azure Data Factory

91%
9.0

IBM InfoSphere DataStage

90%
Azure Data Factory ranks higher in 1/2 features

Connect to traditional data sources

9.3
93%
7 Ratings
9.5
95%
9 Ratings

Connecto to Big Data and NoSQL

8.8
88%
7 Ratings
8.6
86%
8 Ratings

Data Transformations

8.4

Azure Data Factory

84%
9.5

IBM InfoSphere DataStage

95%
IBM InfoSphere DataStage ranks higher in 2/2 features

Simple transformations

9.1
91%
7 Ratings
9.8
98%
9 Ratings

Complex transformations

7.6
76%
7 Ratings
9.2
92%
9 Ratings

Data Modeling

8.7

Azure Data Factory

87%
8.9

IBM InfoSphere DataStage

89%
Azure Data Factory ranks higher in 3/6 features

Data model creation

9.2
92%
5 Ratings
9.1
91%
6 Ratings

Metadata management

8.3
83%
6 Ratings
8.5
85%
8 Ratings

Business rules and workflow

8.4
84%
7 Ratings
8.0
80%
8 Ratings

Collaboration

9.1
91%
6 Ratings
8.8
88%
9 Ratings

Testing and debugging

8.6
86%
7 Ratings
9.5
95%
9 Ratings

feature 1

8.6
86%
3 Ratings
9.4
94%
4 Ratings

Data Governance

8.1

Azure Data Factory

81%
8.8

IBM InfoSphere DataStage

88%
IBM InfoSphere DataStage ranks higher in 2/2 features

Integration with data quality tools

8.2
82%
7 Ratings
8.8
88%
8 Ratings

Integration with MDM tools

8.0
80%
7 Ratings
8.8
88%
8 Ratings

Attribute Ratings

  • Azure Data Factory is rated higher in 1 area: Likelihood to Recommend
  • IBM InfoSphere DataStage is rated higher in 1 area: Support Rating

Likelihood to Recommend

9.0

Azure Data Factory

90%
7 Ratings
8.7

IBM InfoSphere DataStage

87%
9 Ratings

Usability

Azure Data Factory

N/A
0 Ratings
9.0

IBM InfoSphere DataStage

90%
2 Ratings

Performance

Azure Data Factory

N/A
0 Ratings
9.0

IBM InfoSphere DataStage

90%
2 Ratings

Support Rating

7.0

Azure Data Factory

70%
2 Ratings
9.1

IBM InfoSphere DataStage

91%
5 Ratings

Likelihood to Recommend

Microsoft

Suitable for virtually any scenario that involves working with linked Service, so that it is possible to connect Azure Data Factory to storage services for SQL data in the cloud, and that it is possible to access them at any time. Serves to make the information much cleaner and have the desired formats and structures in case of working with time tracking or general employee work tracking applications, so it is easy to create accurate and aesthetically acceptable analysis for general tracking software. It is extremely useful if you do not have any data server service, as Azure Data Factory has the ability to maintain almost 90 different data connectors without the need to use a server.
Read full review

IBM

Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
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Pros

Microsoft

  • It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
  • We can use linked service in multiple pipeline/data load.
  • It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
Read full review

IBM

  • Data movement
  • Seamless integration of scripts and etl jobs
  • Descriptive logging
  • Ability to work with myriad of data assets
  • Direct integration for Governance catalog
Read full review

Cons

Microsoft

  • Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
  • Does not yet have parity with SSIS as far as the transforms available.
Read full review

IBM

  • Connector Stages to Snowflake on the cloud. We had some issues initially but since then had been corrected.
  • Accessing tool from a browser (zero foot-print). Currently we need to either install locally or connect to a server to do ETL work.
  • Diversify ways of authenticating users.
Read full review

Pricing Details

Azure Data Factory

Starting Price

Editions & Modules

Azure Data Factory editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    IBM InfoSphere DataStage

    Starting Price

    Editions & Modules

    IBM InfoSphere DataStage editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Usability

      Microsoft

      No answers on this topic

      IBM

      Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
      Read full review

      Performance

      Microsoft

      No answers on this topic

      IBM

      It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
      Read full review

      Support Rating

      Microsoft

      We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
      Read full review

      IBM

      I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.
      Read full review

      Alternatives Considered

      Microsoft

      The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
      Read full review

      IBM

      It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.
      Read full review

      Return on Investment

      Microsoft

      • It is very useful and make things easier
      • Debugging can improve
      • Its better suited than other products with the same objective
      Read full review

      IBM

      • Reduce development time by 65% compared with hand coding.
      • Reduces ETL process maintenance times.
      • Better data governance for technical and non-technical people.
      • Improve time to market for initiatives that require data integration.
      Read full review

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