Azure Data Factory vs. Informatica MDM

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Factory
Score 8.3 out of 10
N/A
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.N/A
Informatica MDM
Score 8.2 out of 10
N/A
Informatica MDM is an enterprise master data management solution that competes directly with IBM's InfoSphere and Oracle's Siebel UCM product.Informatica MDM and the company's 360 applications present a multidomain solution with flexibility to support any master data domain and relationship—whether on-premises, in the cloud, or both.N/A
Pricing
Azure Data FactoryInformatica MDM
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data FactoryInformatica MDM
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Data FactoryInformatica MDM
Considered Both Products
Azure Data Factory

No answer on this topic

Informatica MDM
Chose Informatica MDM
Informatica MDM is well suited as it supports more than 80 SaaS sources and provides a good control over data management. While Azure Data Factory supports only few SaaS sources. Informatica MDM supports amazing integration with other sources and enables organization with great …
Top Pros
Top Cons
Features
Azure Data FactoryInformatica MDM
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
9.1
7 Ratings
10% above category average
Informatica MDM
-
Ratings
Connect to traditional data sources9.27 Ratings00 Ratings
Connecto to Big Data and NoSQL9.07 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
8.5
7 Ratings
2% above category average
Informatica MDM
-
Ratings
Simple transformations9.27 Ratings00 Ratings
Complex transformations7.77 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
7.7
7 Ratings
5% below category average
Informatica MDM
-
Ratings
Data model creation8.35 Ratings00 Ratings
Metadata management7.56 Ratings00 Ratings
Business rules and workflow7.57 Ratings00 Ratings
Collaboration7.06 Ratings00 Ratings
Testing and debugging7.57 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
7.7
7 Ratings
6% below category average
Informatica MDM
-
Ratings
Integration with data quality tools7.47 Ratings00 Ratings
Integration with MDM tools8.07 Ratings00 Ratings
Best Alternatives
Azure Data FactoryInformatica MDM
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 7.8 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Winshuttle
Winshuttle
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data FactoryInformatica MDM
Likelihood to Recommend
9.3
(7 ratings)
8.6
(22 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
7.0
(1 ratings)
8.3
(3 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Azure Data FactoryInformatica MDM
Likelihood to Recommend
Microsoft
Well-suited Scenarios for Azure Data Factory (ADF): When an organization has data sources spread across on-premises databases and cloud storage solutions, I think Azure Data Factory is excellent for integrating these sources. Azure Data Factory's integration with Azure Databricks allows it to handle large-scale data transformations effectively, leveraging the power of distributed processing. For regular ETL or ELT processes that need to run at specific intervals (daily, weekly, etc.), I think Azure Data Factory's scheduling capabilities are very handy. Less Appropriate Scenarios for Azure Data Factory: Real-time Data Streaming - Azure Data Factory is primarily batch-oriented. Simple Data Copy Tasks - For straightforward data copy tasks without the need for transformation or complex workflows, in my opinion, using Azure Data Factory might be overkill; simpler tools or scripts could suffice. Advanced Data Science Workflows: While Azure Data Factory can handle data prep and transformation, in my experience, it's not designed for in-depth data science tasks. I think for advanced analytics, machine learning, or statistical modeling, integration with specialized tools would be necessary.
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Informatica
Informatica MDM is a complete MDM solution, from ingestion to data exposition. This tool helps us in gathering customer data, and also it makes it possible for us to support our customers relationships and build customer-related strategies to improve their experience which helps to drive sales geometry and growth and customers satisfaction. On the other hand of price is relatively competitive.
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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.
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Informatica
  • This program raises us to a professional level where we have better versatility to control all the media of my work and have a correct response for each scenario.
  • It is essential to be right about the destination and development of my data, Informatica MDM is here to simplify all these processes for its users.
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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.
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Informatica
  • It is unfortunate how this program has a couple of limitations in terms of insertions; it does not have the ability to agglomerate and archive the data in real-time by groups.
  • To have automation functions, the program is very limited in performing one task at a time, compared to other systems that perform functions simultaneously.
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Likelihood to Renew
Microsoft
No answers on this topic
Informatica
Supporting well in managing our huge customer base and managing the customer hierarchies well aligned with transactional processes
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Usability
Microsoft
No answers on this topic
Informatica
Strong Customer MDM capabilities for de-duplication, merging, golden record, exposing customer master data. Strong Integration capabilities
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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
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Informatica
I'm not sure since I never used support. My colleagues never had any issues with it, therefore my rating would be an 8 with a certain range of uncertainty.
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Implementation Rating
Microsoft
No answers on this topic
Informatica
The integrator did a fair job and even though Business Change Management was complex, it was well concluded on time
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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.
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Informatica
Informatica MDM has proven it's worth in the organization by driving the revenue growth. It saves our lot of time by filtering out duplicate values and helps in solving critical business problems. It is very helpful when we deal with a lot of data. Apart from this we can populate data on various third party integration which is most useful case
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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
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Informatica
  • I cannot speak to this for 2 reasons. 1. I am not privy to the financials associated with this implementation or the previous one. 2. We have not hit our 'go-live' for this implementation yet to compare it's performance to our previous solution.
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