What users are saying about
24 Ratings
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Score 8.5 out of 100
17 Ratings
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Score 8.3 out of 100

Likelihood to Recommend

Azure Data Factory

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.
Murray Clear | TrustRadius Reviewer

IBM InfoSphere DataStage

DataStage is well suited for any size of company that's looking to move, transform, clean data and easily create data-warehouses that would help to make data ready to be presented for decision making. Data Stage would easily integrate with companies that use IBM DB2 as their main RDBMS.A scenario where it less suited could be cost. I have noticed IBM tools tend to be a little more costly than average.
Herber Gonzalez | TrustRadius Reviewer

Feature Rating Comparison

Data Source Connection

Azure Data Factory
8.7
IBM InfoSphere DataStage
6.7
Connect to traditional data sources
Azure Data Factory
9.0
IBM InfoSphere DataStage
9.1
Connecto to Big Data and NoSQL
Azure Data Factory
8.4
IBM InfoSphere DataStage
4.3

Data Transformations

Azure Data Factory
8.3
IBM InfoSphere DataStage
8.9
Simple transformations
Azure Data Factory
8.9
IBM InfoSphere DataStage
9.4
Complex transformations
Azure Data Factory
7.6
IBM InfoSphere DataStage
8.4

Data Modeling

Azure Data Factory
8.6
IBM InfoSphere DataStage
6.8
Data model creation
Azure Data Factory
9.4
IBM InfoSphere DataStage
5.8
Metadata management
Azure Data Factory
8.0
IBM InfoSphere DataStage
6.0
Business rules and workflow
Azure Data Factory
8.4
IBM InfoSphere DataStage
8.4
Collaboration
Azure Data Factory
8.5
IBM InfoSphere DataStage
5.2
Testing and debugging
Azure Data Factory
8.2
IBM InfoSphere DataStage
7.3
feature 1
Azure Data Factory
9.0
IBM InfoSphere DataStage
8.0

Data Governance

Azure Data Factory
8.4
IBM InfoSphere DataStage
6.3
Integration with data quality tools
Azure Data Factory
8.7
IBM InfoSphere DataStage
7.6
Integration with MDM tools
Azure Data Factory
8.0
IBM InfoSphere DataStage
5.1

Pros

Azure Data Factory

  • Easy to create ETL workflows
  • Pre-defined templates to design the pipelines
  • Easy to create schedules to run the pipelines
  • Fast and reliable
  • Interactive user interface with drag/drop and multiple useful options on the dashboard
  • Easy integration with other Azure services
Panav Beri | TrustRadius Reviewer

IBM InfoSphere DataStage

  • Very reliable in handling data extraction, data transformation and loading
  • Flexibility in connecting to different type of databases, relational or non-relational
  • Great features such as parallel processing, hash handling, etc.
  • You can also take advantage of its FTP functions, and scheduling features if you need to.
Anonymous | TrustRadius Reviewer

Cons

Azure Data Factory

  • 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.
Anonymous | TrustRadius Reviewer

IBM InfoSphere DataStage

  • You must understand and know the algorithms, since the wrong use of them generates more time in processing.
  • Metadata. You need to develop with connectors, and taking all the Metadata from the menu, all the data that you complete manually, you can't track it.
Anonymous | TrustRadius Reviewer

Usability

Azure Data Factory

No score
No answers yet
No answers on this topic

IBM InfoSphere DataStage

IBM InfoSphere DataStage 9.0
Based on 2 answers
Our development teams in the company can easily achieve and develop any ETL scripts that are needed to massage and move the data as needed. The company has also maintain this tool for a very long time making it automatic when it comes to ETL needs. We are currently trying to make DataStage our main and probably unique ETL tool
Herber Gonzalez | TrustRadius Reviewer

Performance

Azure Data Factory

No score
No answers yet
No answers on this topic

IBM InfoSphere DataStage

IBM InfoSphere DataStage 9.0
Based on 1 answer
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.
Anonymous | TrustRadius Reviewer

Support Rating

Azure Data Factory

Azure Data Factory 7.0
Based on 2 answers
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
Anonymous | TrustRadius Reviewer

IBM InfoSphere DataStage

IBM InfoSphere DataStage 6.1
Based on 4 answers
I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.
Filippo Orlando | TrustRadius Reviewer

Alternatives Considered

Azure Data Factory

SSIS was used for on-premise SQL work, Azure data factory is required to unlock the full potential of Azure connected databases. The ease of configuration and the ability to schedule workflows solved so many data integration issues at speed. Without investing in ADF we would not have achieved the level of data integration we have.
Anonymous | TrustRadius Reviewer

IBM InfoSphere DataStage

DataStage offers better integration capabilities without the need to write code manually. It also has a native ETL engine whereas MSIS requires a SQL Server. It has better integration capabilities with data quality, data profiling and data governance tools. The main drawback of DataStage vs. MSIS is pricing.
Gonzalo Angeleri | TrustRadius Reviewer

Return on Investment

Azure Data Factory

  • Facilitate better decision-making and improve business processes.
  • Optimize business process outcomes by increasing internal efficiency and operational effectiveness.
  • Boosts revenue growth while improving business process agility.
Niloofar Keshvari Nia | TrustRadius Reviewer

IBM InfoSphere DataStage

  • Provides us an excellent ETL application
  • Made our data handling easy
  • Provide the business with high quality reports
Anonymous | TrustRadius Reviewer

Pricing Details

Azure Data Factory

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

IBM InfoSphere DataStage

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Azure Data Factory
8.9
IBM InfoSphere DataStage
8.0

Usability

Azure Data Factory
IBM InfoSphere DataStage
9.0

Performance

Azure Data Factory
IBM InfoSphere DataStage
9.0

Support Rating

Azure Data Factory
7.0
IBM InfoSphere DataStage
6.1

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