Azure Data Factory vs. Devart Excel Add-ins

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
Devart Excel Add-ins
Score 8.9 out of 10
N/A
Devart Excel Add-ins allow you to use Excel capabilities to import, process, and analyze data from cloud applications and relational databases. The Excel Add-ins also allow users to make data changes and then save those changes back to the data source they were originally imported from.
$119.95
Pricing
Azure Data FactoryDevart Excel Add-ins
Editions & Modules
No answers on this topic
Standard Edition
$119.95
Offerings
Pricing Offerings
Azure Data FactoryDevart Excel Add-ins
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 FactoryDevart Excel Add-ins
Top Pros
Top Cons
Features
Azure Data FactoryDevart Excel Add-ins
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
Devart Excel Add-ins
-
Ratings
Connect to traditional data sources9.17 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
3% above category average
Devart Excel Add-ins
-
Ratings
Simple transformations9.17 Ratings00 Ratings
Complex transformations7.87 Ratings00 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
Devart Excel Add-ins
-
Ratings
Data model creation8.25 Ratings00 Ratings
Metadata management7.36 Ratings00 Ratings
Business rules and workflow7.37 Ratings00 Ratings
Collaboration6.76 Ratings00 Ratings
Testing and debugging7.37 Ratings00 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
Devart Excel Add-ins
-
Ratings
Integration with data quality tools7.37 Ratings00 Ratings
Integration with MDM tools8.07 Ratings00 Ratings
Best Alternatives
Azure Data FactoryDevart Excel Add-ins
Small Businesses
Skyvia
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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
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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
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User Ratings
Azure Data FactoryDevart Excel Add-ins
Likelihood to Recommend
9.3
(7 ratings)
8.0
(2 ratings)
Support Rating
7.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure Data FactoryDevart Excel Add-ins
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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Devart
Devart Excel Add-ins is really good for data comparison of one database table against another database table. There are plenty of times where the business users need help understanding with their Power BI data models are not connecting correctly and I use this tool to break down the differences between the tables they are trying to connect.
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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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Devart
  • Devart Excel Add-in supports connectivity with various databases - which really helps to customize and massage data.
  • Since data is available in cloud, it is easily accessible everywhere.
  • It can also be integrated with SSIS components making it possible to resolve complex problems.
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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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Devart
  • The data pump feature breaks sometimes
  • The profile usage monitoring is slow
  • The event profiler is delayed
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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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Devart
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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Devart
Devart Excel stacks up very well against its alternatives. It has significant advantages as it keeps getting an update. Features are very much suitable for smaller organizations. For larger organizations the features cannot be used directly because of the size of the company and more native requirements of IT software requirements.
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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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Devart
  • The data compare option saves our dev team a lot of time
  • The documenter feature is nice to use for explaining table definitions
  • The event profiler is great for usage metrics
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ScreenShots

Devart Excel Add-ins Screenshots

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