We performed a comparison between Azure Data Factory and Teradata based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I like the basic features like the data-based pipelines."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"The most valuable feature is the copy activity."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Data Factory's most valuable feature is Copy Activity."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
"I've never had any issues with scalability."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
"The key advantages are Performance when processing Terabytes of data and scalability."
"The flexibility in design is very good."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"The initial setup is not very straightforward."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"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."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Some of the optimization techniques are not scalable."
"The setup and configuration process could be simplified."
"I think the UI is not there yet. It could be improved by being more user-friendly."
"There is some improvement required on OLTP level and some analytical function is missing."
"The setup is not straightforward."
"The solution needs improvement in its stability, support and pricing."
"Limited interest and success in some areas make us hesitate about upgrading."
"The following could be better: licensing, architecture openness, integration with other tools."
"The increasing volumes of data demand more and more performance."
"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Azure Data Factory is rated 8.0, while Teradata is rated 8.2. 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 writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Azure Data Factory vs. Teradata report.
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