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.
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Microsoft Visual Studio Code
Score 9.3 out of 10
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Microsoft offers Visual Studio Code, an open source text editor that supports code editing, debugging, IntelliSense syntax highlighting, and other features.
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Azure Data Factory
Microsoft Visual Studio Code
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Azure Data Factory
Microsoft Visual Studio Code
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
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Community Pulse
Azure Data Factory
Microsoft Visual Studio Code
Features
Azure Data Factory
Microsoft Visual Studio Code
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
8.5
10 Ratings
3% above category average
Microsoft Visual Studio Code
-
Ratings
Connect to traditional data sources
9.010 Ratings
00 Ratings
Connecto to Big Data and NoSQL
8.010 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
7.8
10 Ratings
3% below category average
Microsoft Visual Studio Code
-
Ratings
Simple transformations
8.710 Ratings
00 Ratings
Complex transformations
7.010 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
6.3
10 Ratings
21% below category average
Microsoft Visual Studio Code
-
Ratings
Data model creation
4.57 Ratings
00 Ratings
Metadata management
5.58 Ratings
00 Ratings
Business rules and workflow
6.010 Ratings
00 Ratings
Collaboration
7.09 Ratings
00 Ratings
Testing and debugging
6.310 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Best scenario is for ETL process. The flexibility and connectivity is outstanding. For our environment, SAP data connectivity with Azure Data Factory offers very limited features compared to SAP Data Sphere. Due to the limited modelling capacity of the tool, we use Databricks for data modelling and cleaning. Usage of multiple tools could have been avoided if adf has modelling capabilities.
As a general workhorse IDE, Microsoft Visual Studio Codee is unmatched. Building on the early success of applications such as Atom, it has long been the standard for electron based IDEs. It can be outshone using IDEs that are dedicated to particular platforms, such as Microsoft Visual Studio Code for .net and the Jetbrains IDEs for Java, Python and others. For remote collaborative development, something like Zed is ahead of VSCode live share, which can be quite flakey.
Granularity of Errors: Sometimes, Azure Data Factory provides error messages that are too generic or vague for us, making it challenging to pinpoint the exact cause of a pipeline failure. Enhanced error messages with more actionable details would greatly assist us as users in debugging their pipelines.
Pipeline Design UI: In my experience, the visual interface for designing pipelines, especially when dealing with complex workflows or numerous activities, can become cluttered. I think a more intuitive and scalable design interface would improve usability. In my opinion, features like zoom, better alignment tools, or grouping capabilities could make managing intricate designs more manageable.
Native Support: While Azure Data Factory does support incremental data loads, in my experience, the setup can be somewhat manual and complex. I think native and more straightforward support for Change Data Capture, especially from popular databases, would simplify the process of capturing and processing only the changed data, making regular data updates more efficient
The customization of key combinations should be more accessible and easier to change
The auxiliary panels could be minimized or as floating tabs which are displayed when you click on them
A monitoring panel of resources used by Microsoft Visual Studio Code or plugins and extensions would help a lot to be able to detect any malfunction of these
Solid tool that provides everything you need to develop most types of applications. The only reason not a 10 is that if you are doing large distributed teams on Enterprise level, Professional does provide more tools to support that and would be worth the cost.
So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.
Microsoft Visual Studio Code earns a 10 for its exceptional balance of power and simplicity. Its intuitive interface, robust extension ecosystem, and integrated terminal streamline development. With seamless Git integration and highly customizable settings, it adapts perfectly to any workflow, making complex coding tasks feel effortless for beginners and experts alike.
Overall, Microsoft Visual Studio Code is pretty reliable. Every so often, though, the app will experience an unexplained crash. Since it is a stand-alone app, connectivity or service issues don't occur in my experience. Restarting the app seems to always get around the problem, but I do make sure to save and backup current work.
Microsoft Visual Studio Code is pretty snappy in performance terms. It launches quickly, and tasks are performed quickly. I don't have a lot of integrations other than CoPilot, but I suspect that if the integration partner is provisioned appropriately that any performance impact would be pretty minimal. It doesn't have a lot of bells and whistles (unless you start adding plugins left and right).
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
Active development means filing a bug on the GitHub repo typically gets you a response within 4 days. There are plugins for almost everything you need, whether it be linting, Vim emulation, even language servers (which I use to code in Scala). There is well-maintained official documentation. The only thing missing is forums. The closest thing is GitHub issues, which typically has the answers but is hard to sift through -- there are currently 78k issues.
Azure Data Factory helps us automate to schedule jobs as per customer demands to make ETL triggers when the need arises. Anyone can define the workflow with the Azure Data Factory UI designer tool and easily test the systems. It helped us automate the same workflow with programming languages like Python or automation tools like ansible. Numerous options for connectivity be it a database or storage account helps us move data transfer to the cloud or on-premise systems.
Visual Studio Code stacks up nicely against Visual Studio because of the price and because it can be installed without admin rights. We don't exclusively use Visual Studio Code, but rather use Visual Studio and Visual Studio code depending on the project and which version of source control the given project is wired up to.
It is easily deployed with our Jamf Pro instance. There is actually very little setup involved in getting the app deployed, and it is fairly well self-contained and does not deploy a large amount of associated files. However, it is not particularly conducive to large project, multi-developer/department projects that involve some form of central integration.