Azure Data Factory vs. Skyvia

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
Skyvia
Score 9.7 out of 10
Mid-Size Companies (51-1,000 employees)
Skyvia is a cloud platform for no-coding data integration (both ELT and ETL), automating workflows, cloud to cloud backup, data management with SQL, CSV import/export, creating OData services, etc. The vendor says it supports all major cloud apps and databases, and requires no software except a web browser.
$15
Pricing
Azure Data FactorySkyvia
Editions & Modules
No answers on this topic
Basic
$15
Standard
$79
Professional
$399
Enterprise
$799
Offerings
Pricing Offerings
Azure Data FactorySkyvia
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 FactorySkyvia
Considered Both Products
Azure Data Factory

No answer on this topic

Skyvia
Chose Skyvia
I see Skyvia is a great solution for those who want to migrate and transfer there data, especially sensitive and very important valuable data to data storage
Top Pros
Top Cons
Features
Azure Data FactorySkyvia
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
Skyvia
9.9
19 Ratings
17% above category average
Connect to traditional data sources9.17 Ratings9.919 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
Skyvia
9.2
16 Ratings
11% above category average
Simple transformations9.17 Ratings9.216 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
Skyvia
9.5
15 Ratings
16% above category average
Data model creation8.25 Ratings9.012 Ratings
Metadata management7.36 Ratings00 Ratings
Business rules and workflow7.37 Ratings9.913 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
Skyvia
-
Ratings
Integration with data quality tools7.37 Ratings00 Ratings
Integration with MDM tools8.07 Ratings00 Ratings
Best Alternatives
Azure Data FactorySkyvia
Small Businesses
Skyvia
Skyvia
Score 9.7 out of 10
Dataloader.io
Dataloader.io
Score 9.0 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
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data FactorySkyvia
Likelihood to Recommend
9.3
(7 ratings)
9.9
(20 ratings)
Support Rating
7.0
(1 ratings)
9.9
(4 ratings)
User Testimonials
Azure Data FactorySkyvia
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
Skyvia is a good choice for data backup and restoration. Automatic daily and manual cloud-to-cloud SaaS backups ensure that our data is securely backed up and can be easily restored when needed. The search for backup functionality helps to find and restore specific records quickly.
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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
  • Skyvia is good at scheduled bidirectional data integration to/from multiple sources
  • The mapping is done automatically which saves a lot of time
  • I like that all connectors are included in the price, so I don't have to pay for using some new ones additionally
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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
  • Increased ability for asymmetric process window changes.
  • Continue to integrate into new applications with the same quality.
  • Add some automation options in the tree.
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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
I think guys have a really good support team, and even from different time zones we managed to get worthy support.
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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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Devart
Compared to similar user-friendly data integration systems like Integrate.io, Stitch, or Azure, Skyvia still wins in the number of connectors and pricing policy. Skyvia is a tool for companies like ours, starving for simple but, at the same time, robust and cost-effective data transfer solutions. It doesn't require additional knowledge for implementation and usage because it's no code. We'd recommend Skyvia as the best solution for non-technical staff.
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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 core of our business lies in analyzing data from various sources, and while ETL itself is not our primary focus, it is a necessary process to achieve our goals. Thanks to Skyvia, we are able to streamline the ETL process at a reasonable price, allowing us to dedicate our efforts to data analysis without the burden of ETL complexities.
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ScreenShots

Skyvia Screenshots

Screenshot of ExportScreenshot of QueryScreenshot of Backup ScheduleScreenshot of Integration