Azure Data Factory vs. Xactly Connect

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

When the client has source data in Salesforce, Workday or flat files, it works really well. If the client has too much data, it can be really slow or require lots of preprocessing. It's often better to do as much of the calculations as you can in the configuration rather than on the Xactly Connect side. So that regular comp admins with Incent Connect training but no Xactly Connect are able to make changes.

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

• Flawless data integration
• Helpful data checkpoints

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

• SQL isn't the same syntax in Connect as it is in Sequal Server Management Studio, making it difficult for communities outside of Xactly to help with certain issues.
• Sometimes the scheduling part of the tool does not work as expected, but over all it is consistent.

Incentivized

Very user-friendly for a programming tool.

Incentivized

Xactly is a very helpful tool ensuring appropriate and correct data is used when calculating commissions. The interface loads timely, but it is not intuitive to use. The learning curve to be proficient in Xactly takes a significant amount of time.

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

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

I have not used another product like Xactly Connect.

Incentivized

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

Incentivized

• Saves us 10+ hours of work on a weekly basis.
• Ensures that the results are consistent without manual intervention.

Incentivized