Azure Data Factory vs. Informatica Cloud Data Integration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Factory
Score 8.2 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 Cloud Data Integration
Score 7.9 out of 10
N/A
Informatica Cloud Data Integration, for Cloud ETL and ELT, enables users to ingest, integrate and cleanse data within Informatica's cloud-native ETL and ELT solution. Users can link source and target data with thousands of connectors that recognize metadata, to make it easier to run complex integrations.N/A
Pricing
Azure Data FactoryInformatica Cloud Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data FactoryInformatica Cloud Data Integration
Free Trial
NoYes
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 Cloud Data Integration
Considered Both Products
Azure Data Factory
Chose Azure Data Factory
Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a …
Informatica Cloud Data Integration

No answer on this topic

Top Pros
Top Cons
Features
Azure Data FactoryInformatica Cloud Data Integration
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
9.1
7 Ratings
9% above category average
Informatica Cloud Data Integration
9.0
1 Ratings
8% above category average
Connect to traditional data sources9.17 Ratings9.01 Ratings
Connecto to Big Data and NoSQL9.07 Ratings9.01 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
8.5
7 Ratings
3% above category average
Informatica Cloud Data Integration
9.0
1 Ratings
9% above category average
Simple transformations9.17 Ratings9.01 Ratings
Complex transformations7.97 Ratings9.01 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
7.5
7 Ratings
7% below category average
Informatica Cloud Data Integration
9.0
1 Ratings
11% above category average
Data model creation8.25 Ratings9.01 Ratings
Metadata management7.36 Ratings9.01 Ratings
Business rules and workflow7.37 Ratings9.01 Ratings
Collaboration6.66 Ratings9.01 Ratings
Testing and debugging7.37 Ratings9.01 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
7.6
7 Ratings
9% below category average
Informatica Cloud Data Integration
9.0
1 Ratings
8% above category average
Integration with data quality tools7.27 Ratings9.01 Ratings
Integration with MDM tools8.07 Ratings9.01 Ratings
Best Alternatives
Azure Data FactoryInformatica Cloud Data Integration
Small Businesses
Skyvia
Skyvia
Score 9.7 out of 10
Skyvia
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Score 9.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
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Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data FactoryInformatica Cloud Data Integration
Likelihood to Recommend
9.2
(7 ratings)
9.0
(1 ratings)
Support Rating
7.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure Data FactoryInformatica Cloud Data Integration
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
Its best for the people who are less exposed to programming and even Informatica Cloud Data Integration is trying hard to make it less code or no code. They have more than 300+ connection support to third party applications which make them unique in the data and analytics field. They have some bugs in glitch on which they are continuously working.
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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
  • Data synchronisation
  • Data replication
  • Data integration
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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
  • Glitches are noticed often.
  • Kafka support is really low.
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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
No answers on this topic
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
It is really easy to comply and understand its features.
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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
  • Really greatest than any other conventional application.
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ScreenShots