Azure Data Factory vs. Domo

In a data pipeline, you will be able to add different kinds of activities for example connect from your on-premise SFTP and move CSV files to storage accounts. As well data factory has its own data flow if you are an ETL developer who experimented with maybe you have worked with SSIS, thus, you will start quickly with this new feature of the data factory.

Incentivized

Domo is great when you want to see lots of values historically or see data you can see natively in a platform. As I mentioned earlier, Domo is the only way our Marketing and Sales teams can see when their emails were opened and compare the send time - this is an example of data I can't see natively.

Incentivized

• Creating ETL and ELT workflows as well as orchestrating and monitoring pipelines without writing any code.
• Hybrid data integration is easily and agilely possible through this software.
• It has lot of various useful components

Incentivized

• Provides data acquisition, transformation and visualization all administered from one cloud-based tool. No switching between tools or cobbling different products together.
• Provides GUI and MySQL interfaces for data manipulation for both entry-level and advanced users.
• Huge amount of data connectors out of the box, plus you can easily create your own custom connectors.

Incentivized

• Learning curve for pipeline creation interface.
• Alerting isn't necessarily built in. Had to work around this to meet team needs.
• With GIT enabled, some features can only be done via git, while some need to be done via the portal.

Incentivized

• When changing cards from one dataset to another any beast modes are not carried over, it would often make life easier if there was an easier way to copy beast mode calculations from one dataset to another.
• Domo documentation, university and Dojo are extremely helpful when we run into problems. However, when support beyond that is needed their help desk seems to have a hefty backlog - the amount of time to resolve tickets is frustrating sometimes.

Incentivized

Domo is a great up-and-coming product. There are many fantastic features that are extremely compelling to our end users, which makes Domo a great fit for our organization. As with many BI tools, there are items on the wish list that could make implementation, administration and usage easier, but I believe these will be addressed over time as the product matures and evolves. The overall concept and approach of this solution has definitely raised the bar in this area of expertise and I would like to see things advance in giving the enterprise tools that will make decision making easier and more robust in the future.

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

A business management platform has to be flexible to provide solutions for customers from any business environment, but that flexibility has to be delivered without requiring complex business process re-engineering and massive data conversion efforts. Domo’s web-based architecture and wealth of connectivity options allow rapid setup for any business. If your marketing company is wrestling with channel return on investment or your educational organization is drowning in data, Domo has the tools and capability to use your data and turn it into something useful for you

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

Pretty responsive. It took a while to get a response in selecting data points for our particular cards. Might have taken about a month? I am not sure if this was something on our end or Domo's end. But haven't had any other issues yet that required additional support from Domo.

Incentivized

It is a true web-based application so implementation is much easier and smoother compared to other non-web based BI solutions. Also, they offered consulting services during the implementation process, which was helpful. Also, they provided lots of on-demand training courses and videos, which I liked.

Incentivized

Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a visual interface for designing ETL workflows, but our team found Azure Data Factory's interface more intuitive.

Incentivized

Domo is by far the industry leader. Other tools/platforms have unique strengths, but from an overall perspective, Domo is the most versatile and does an exceptional job in all areas. This is critical when it comes to "scale". A BI project may start with a siloed scope, but as the project bares fruit, others begin to ask how they can participate/leverage the tool/platform for their own projects - because of this, Domo's versatility is incredibly important

Incentivized

• Limiting the amount of data moving up and down from the cloud for cloud-native applications.
• Overall simple to use interface which is actually easier for a first time ETL developer than SSIS.

Incentivized

• Domo has allowed us to see much more clearly what is working for students on our programs, and what is not. This enables us to consolidate success and further develop where there are areas of concern.
• The verbatim comments in Domo makes the reports especially attractive to staff, since they are able to engage directly with students' personal opinions and not just with rating scales.

Incentivized