Azure Data Factory vs. SolarWinds Task Factory

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.

Incentivized

Since I started working with this great tool all data analysis programs have been running effectively. Implementation of projects and tasks have been effective and reliable. Data collected from each department gives us working plan on better management of various programs. The Dimension Merge SCD Transform helps us to load large volumes of data within a short period of time.

Incentivized

• 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.

Incentivized

• The single most beneficial component to Task Factory is the Upsert component. If you're familiar with writing MERGE statements in T-SQL, you'll appreciate the Upsert component. Drag the component into your Data Flow and a few clicks later you have a MERGE without the code complexities.
• Where some native SSIS components leave you wanting more, Task Factory extends on many of these components as well as support for data sources not native to SSIS components.
• The number of extra components that come in the Task Factory tool kit will expand your tool belt to do just about anything you need or want to accomplish in SSIS.

Incentivized

• 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.

Incentivized

• It was built by Pragmatic Works who sold it to SentryOne and now Solar Winds, concerned about future support. SolarWinds is discontinuing support for related products such as BiXpress.
• Had issues with connecting to certain versions of SQL Server - would fail when deploying one package - had to deploy the entire solutions.
• Occasional random failures observed with the Filter tranform.

Incentivized

Task Factory has become a key product for our use of doing ETL work in SSIS. Their custom SSIS components allow us to work simply on the data engineering side of things. We can ignore the lower level work needed to connect to disparate data sources. This allows us to work faster and provide more value to the business

Incentivized

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.

Incentivized

Compared to some of the other transformations I have worked with, it really is pretty simple for the type of functionality you get

Incentivized

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

Incentivized

Overall, the best vendor we currently have on the data side of the house. No issues, issues are resolved very quickly and upgrades go without any issues.

Incentivized

Overall it went smoothly. Had a couple of gotchas with licensing and upgrading but nothing that really stopped us.

Incentivized

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.

Incentivized

ZappySys is an alternative provider that we tested. However, we found the ease of use, set up and installation to be much simplier and quicker using Task Factory. ZappySys has a number of the same connectors but are more difficult to setup and the GUI is not as intuitive and simple to use.

Incentivized

• It is very useful and make things easier
• Debugging can improve
• Its better suited than other products with the same objective

Incentivized

• We were able to support our developers with Task Factory features and reduce the development time by 40%.
• Recently Task Factory has changed their pricing module and it seems to be pretty costly for our process. Our business team has started to evaluate whether this is worth it going forward.

Incentivized