We performed a comparison between Azure Data Factory and Teradata Vantage based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The solution is okay."
"Data Factory's best features are simplicity and flexibility."
"The flexibility that Azure Data Factory offers is great."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The security of the agent that is installed on-premises is very good."
"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."
"I like writing preformance queries for preprocessing on AWS Cloud."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"I would like more security and speed."
"I would like more security and speed."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Teradata Vantage is ranked 30th in BI (Business Intelligence) Tools. Azure Data Factory is rated 8.0, while Teradata Vantage is rated 8.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Teradata Vantage writes "It helps us with connectivity and making sure the data is secure". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Teradata Vantage is most compared with Teradata Data Lab and SAP BusinessObjects Business Intelligence Platform.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
