Azure Data Factory vs. COZYROC

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

COZYROC is great if you have a number of sources or destinations where vanilla SSIS either does not provide connectors, they are difficult to work with, or they are not fully featured. SFTP is a prime example. Almost any web service is another. It also includes some nice helper components, such as script task plus. This speeds up the development of script tasks by making the configuration easier. That said, it is not a silver bullet for all your SSIS woes. I've found that none of the SSIS 3rd party components spans all my needs and generally end up running a couple of different ones to cover all the functionality required.

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

• Dynamic SOQL is very advantageous with Salesforce source task.
• Connecting to SharePoint is simple and seamless.
• Script Component Plus is also a very good task that we can do a lot through, that what we can't do with Script Task.

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

• can speedup Microsoft dynamic crm connection
• need to improve their support and customer care
• would like to have some good and fast scd component

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

Easy to use and easy to implement into ETL solutions with Microsoft SQL Server Integration Services.

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

Their support is fast and responsive. Their devs work on resolving the issues quickly. We usually will have a release of a fix within a few days.

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

We inherited [COZYROC] from other teams [a] long time ago. Since then It's been easy to develop and easy to maintain.

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 is my belie that I have thrown away $3.7k