Azure Data Factory vs. Talend Data Fabric

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
Talend Data Fabric
Score 9.4 out of 10
N/A
The Talend Data Fabric helps organizations to achieve and maintain complete, trustworthy, and uncompromised data, so that they can stay in control, mitigate risk, and drive value.N/A
Pricing
Azure Data FactoryTalend Data Fabric
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data FactoryTalend Data Fabric
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 FactoryTalend Data Fabric
Top Pros
Top Cons
Features
Azure Data FactoryTalend Data Fabric
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
Talend Data Fabric
-
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
Talend Data Fabric
-
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
6% below category average
Talend Data Fabric
-
Ratings
Data model creation8.45 Ratings00 Ratings
Metadata management7.56 Ratings00 Ratings
Business rules and workflow7.57 Ratings00 Ratings
Collaboration7.16 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
Talend Data Fabric
-
Ratings
Integration with data quality tools7.47 Ratings00 Ratings
Integration with MDM tools8.07 Ratings00 Ratings
Best Alternatives
Azure Data FactoryTalend Data Fabric
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 8.2 out of 10

No answers on this topic

Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Oracle Coherence
Oracle Coherence
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data FactoryTalend Data Fabric
Likelihood to Recommend
9.3
(7 ratings)
9.5
(7 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
Usability
-
(0 ratings)
7.0
(1 ratings)
Support Rating
7.0
(1 ratings)
10.0
(1 ratings)
User Testimonials
Azure Data FactoryTalend Data Fabric
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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Qlik
Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.
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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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Qlik
  • It supports a wide variety of connectors (Systems/endpoints)
  • It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available.
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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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Qlik
  • The print and export functionality are missing in the Community version which frustrates a lot of our clients as well as internal users.
  • The learning curve is very steep for all Talend products including DQ.
  • Lack of easy to create workflows for jobs that can be repeated.
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Likelihood to Renew
Microsoft
No answers on this topic
Qlik
Lack of report export and publication! Steep learning curve!
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Usability
Microsoft
No answers on this topic
Qlik
At this moment the usability of Talend Data Quality is optimal, too bad I cannot say the same in the first three months, it was always a problem due to its steep learning curve, but what matters is being able to use it effectively at this precise moment.
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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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Qlik
Talend Data Quality gave us direct help in the learning process and prevented us from taking many more months to adapt and I appreciate this from the heart, I think that thanks to the support we can have very detailed reports that help increase the use of Talend Data Quality in the company.
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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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Qlik
The engine with which it works to process a lot of information is striking, the comparison also being the connectors it has for different RDBMS, which other tools do not count as they are GNU licenses or community editions. The friendly and intuitive environment is what catches the eye. that's why I choose Talend over any other tool
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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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Qlik
  • Definitely simplified the development efforts on our end in doing the data integration, saving lots of human hours.
  • Small company, so cost could be a problem for these services, but works so far.
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ScreenShots