Azure Data Factory vs. MuleSoft Anypoint Platform

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
Anypoint Platform
Score 8.1 out of 10
N/A
The Anypoint Platform developed by MuleSoft and acquired by Salesforce in early 2018 is designed to connect apps, data, and devices anywhere, on-premises or in the cloud. This platform was built to offer out-of-the-box connectors as well as tools that architects and developers can adopt quickly to design, build and manage the entire lifecycle of their APIs, applications, and products.N/A
Pricing
Azure Data FactoryMuleSoft Anypoint Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data FactoryAnypoint Platform
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Data FactoryMuleSoft Anypoint Platform
Top Pros
Top Cons
Features
Azure Data FactoryMuleSoft Anypoint Platform
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
MuleSoft Anypoint Platform
-
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
1% above category average
MuleSoft Anypoint Platform
-
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
7.8
7 Ratings
5% below category average
MuleSoft Anypoint Platform
-
Ratings
Data model creation8.45 Ratings00 Ratings
Metadata management7.66 Ratings00 Ratings
Business rules and workflow7.67 Ratings00 Ratings
Collaboration7.26 Ratings00 Ratings
Testing and debugging7.67 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
MuleSoft Anypoint Platform
-
Ratings
Integration with data quality tools7.57 Ratings00 Ratings
Integration with MDM tools8.07 Ratings00 Ratings
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Azure Data Factory
-
Ratings
MuleSoft Anypoint Platform
8.6
10 Ratings
5% above category average
Pre-built connectors00 Ratings8.810 Ratings
Connector modification00 Ratings8.410 Ratings
Support for real-time and batch integration00 Ratings8.610 Ratings
Data quality services00 Ratings8.310 Ratings
Data security features00 Ratings8.610 Ratings
Monitoring console00 Ratings9.010 Ratings
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Azure Data FactoryMuleSoft Anypoint Platform
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User Ratings
Azure Data FactoryMuleSoft Anypoint Platform
Likelihood to Recommend
9.3
(7 ratings)
9.1
(20 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
8.0
(1 ratings)
Support Rating
7.0
(1 ratings)
6.8
(4 ratings)
User Testimonials
Azure Data FactoryMuleSoft Anypoint Platform
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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Salesforce
MuleSoft Anypoint Platform is best tool in the market for developing APIs with complex structures communicating with various different types of applications including web applications as well as legacy applications. Also applications including database connectivity for fetching and updating data in the DB tables. I cant think of any scenario which MuleSoft Anypoint Platform could not be used for developing the integrations.
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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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Salesforce
  • API Manager provides easy API Policy Governance. You do not have to manage multiple platforms for managing the policies.
  • Supports hybrid Mule EBS environments. You can configure both CouldHub-based and on-premise-based API using Mulesoft API manager in a similar manner.
  • It's very easy to implement API proxy.
  • User friendly UI.
  • Single platform to manage all.
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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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Salesforce
  • Has more features than what we really need so we're paying for more than we use. Sort of like paying for an Abrams tank when all we really need is a Toyota Corolla.
  • Not a value product, tends to be expensive.
  • Takes a while for developers to learn to use Mulesoft Anypoint.
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Usability
Microsoft
No answers on this topic
Salesforce
simple and easy graphics and containers helps developers to write complex flows
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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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Salesforce
Anypoint Platform support is very responsive. There is also a huge knowledge base and an active online forum where answers to most questions can be found. When needed support engages the engineering group so adequate solutions or workarounds are always provided.
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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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Salesforce
Once we have moved all of our system integration APIs to the MuleSoft Anypoint Platform, we will need to communicate with a wide variety of external systems. All of our business and service logic is stored in the aforementioned core systems. Anypoint Platform (and all of our APIs) makes it easy to connect to various other platforms. In order to link to these many other systems, connectors and/or components are utilized, and they are simple to configure and integrate.
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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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Salesforce
  • Mulesoft can be used to provide an integration platform to a large number of systems like Salesforce, ODBC, JDBC, SAP, Mongo DB, etc.
  • An excellent option to develop microservices and real-time integrations.
  • Not as robust in handling large data volumes, Informatica is better in that respect.
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ScreenShots

Anypoint Platform Screenshots

Screenshot of Connect any endpoints using out-of-the-box connectors, dynamic connectivity to API specifications, or by building reusable connectors with Anypoint DevKit™.Screenshot of A reporting suite that provides a real-time view of API consumption trends and operational performance. Analytics provides insight into how your API is being used and informs forward-looking design decisions.Screenshot of A platform to engage with API developers and drive adoption. Share documentation, examples and manage developer access from a single platform.