Azure Data Factory vs. Integrate.io

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

Xplenty is really well suited to gather information from many different sources. So if you are in an envitoment with lots of different IT-systems and you want to get an overview and collect data Xplenty can do this really well. It’s required for you to have some technical knowledge about setting up the software.

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

• ETL
• data aggregation
• scheduling

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 fault records lack granularity, debugging might be difficult.
• It isn't always simple to utilize.

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

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

I found them super cool and helpful in any regarding to implementation.

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

Integrate.io is the first platform with a complete set of tools and connectors for data-driven decision making. In addition, it connects the web apps use every day to save time, automate tasks, and focus on what matters most. In just a few minutes, you can set up automated workflows using thousands of the most popular web apps—no code required.

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

• It has an easy-to-use drag-and-drop interface and easy to learn tool.
• It is simple to manage data source and destination connections and the ability to add notes to dataflows.
• Its customer service is excellent, and they're always working to make sure we're getting the most out of their product.

Incentivized