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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SolarWinds Task Factory
Score 8.2 out of 10
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According to the vendor, SolarWinds Task Factory saves time managing tedious ELT/ETL tasks with high-performing SQL Server Integration Services (SSIS) components that can be used within the Visual Studio environment to connect to nearly any data source. Task Factory’s components and tasks have been optimized to ensure fast performance of data-centric applications, and the user can run Task Factory…
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Pricing
Azure Data Factory
SolarWinds Task Factory
Editions & Modules
No answers on this topic
Task Factory
1,245 (annual subscription license)
per server
Task Factory Azure Data Factory
1,495 (annual subscription license)
per ADF node
Offerings
Pricing Offerings
Azure Data Factory
SolarWinds Task Factory
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Data Factory
SolarWinds Task Factory
Features
Azure Data Factory
SolarWinds Task Factory
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
SolarWinds Task Factory
9.4
40 Ratings
13% above category average
Connect to traditional data sources
9.010 Ratings
9.440 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
SolarWinds Task Factory
9.2
39 Ratings
14% above category average
Simple transformations
8.710 Ratings
8.739 Ratings
Complex transformations
7.010 Ratings
9.635 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
SolarWinds Task Factory
-
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.
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.
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.
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
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.
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
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.
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
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.
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.
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.
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.