What users are saying about
24 Ratings
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Score 8.5 out of 100
82 Ratings
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Score 8 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

Informatica PowerCenter

Informatica Powercenter is the centerpiece of our overall enterprise data warehouse strategy. It's a critical enablement to ensure we can feed in multiple data stream and transform them into digestible data within our data warehouse. With its flexible capabilities and API availability, we were able to feed in industry standard data format as well as home grown data structure. Overall, we are very pleased with their capability and contribution to our data warehouse strategy.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Data Source Connection

Azure Data Factory
8.7
Informatica PowerCenter
8.5
Connect to traditional data sources
Azure Data Factory
9.0
Informatica PowerCenter
8.7
Connecto to Big Data and NoSQL
Azure Data Factory
8.4
Informatica PowerCenter
8.2

Data Transformations

Azure Data Factory
8.3
Informatica PowerCenter
8.5
Simple transformations
Azure Data Factory
8.9
Informatica PowerCenter
9.0
Complex transformations
Azure Data Factory
7.6
Informatica PowerCenter
8.0

Data Modeling

Azure Data Factory
8.6
Informatica PowerCenter
7.8
Data model creation
Azure Data Factory
9.4
Informatica PowerCenter
7.6
Metadata management
Azure Data Factory
8.0
Informatica PowerCenter
8.1
Business rules and workflow
Azure Data Factory
8.4
Informatica PowerCenter
8.1
Collaboration
Azure Data Factory
8.5
Informatica PowerCenter
7.7
Testing and debugging
Azure Data Factory
8.2
Informatica PowerCenter
7.6
feature 1
Azure Data Factory
9.0
Informatica PowerCenter
7.5

Data Governance

Azure Data Factory
8.4
Informatica PowerCenter
8.0
Integration with data quality tools
Azure Data Factory
8.7
Informatica PowerCenter
7.9
Integration with MDM tools
Azure Data Factory
8.0
Informatica PowerCenter
8.0

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

Informatica PowerCenter

  • Informatica has a wide range of support for databases. Pretty much every mainstream DBMS is compatible here.
  • Designing ETL mappings and workflows is a very intuitive process, and takes minimal learning time and effort even for a beginner.
  • Informatica's biggest strength is its sheer performance. It is unmatched in terms of handling large volumes of data.
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

Informatica PowerCenter

  • There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
  • The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
  • There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
Jody Gitchel | TrustRadius Reviewer

Likelihood to Renew

Azure Data Factory

No score
No answers yet
No answers on this topic

Informatica PowerCenter

Informatica PowerCenter 10.0
Based on 4 answers
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
Robert Goodman | TrustRadius Reviewer

Usability

Azure Data Factory

No score
No answers yet
No answers on this topic

Informatica PowerCenter

Informatica PowerCenter 9.0
Based on 3 answers
Positives;- Multi User Development Environment- Speed of transformation- Seamless integration between other Informatica products.Negatives;- There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center.- Oracle Analytical functions should be natively used.- E-LT support as well as ETL support.
Gurcan Orhan | TrustRadius Reviewer

Performance

Azure Data Factory

No score
No answers yet
No answers on this topic

Informatica PowerCenter

Informatica PowerCenter 9.6
Based on 3 answers
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
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

Informatica PowerCenter

Informatica PowerCenter 8.7
Based on 2 answers
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
Anonymous | 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

Informatica PowerCenter

PowerCenter is the industry leader when it comes to interfacing with multiple source and target systems. The graphical interface increases employee productivity while reducing human resource expenditures and training requirements. These other tools offer some similar capabilities, but lack the range and depth when compared with the PowerCenter platform.
Brian Randolph | 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

Informatica PowerCenter

  • The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
  • PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
  • The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
Anonymous | TrustRadius Reviewer

Pricing Details

Azure Data Factory

General

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

Informatica PowerCenter

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
Informatica PowerCenter
8.6

Likelihood to Renew

Azure Data Factory
Informatica PowerCenter
10.0

Usability

Azure Data Factory
Informatica PowerCenter
9.0

Performance

Azure Data Factory
Informatica PowerCenter
9.6

Support Rating

Azure Data Factory
7.0
Informatica PowerCenter
8.7

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