We performed a comparison between Azure Data Factory and Teradata Cloud Data Warehouse 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."The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"We haven't had any issues connecting it to other products."
"Its integrability with the rest of the activities on Azure is most valuable."
"Data Factory's most valuable feature is Copy Activity."
"I like the basic features like the data-based pipelines."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"Allows more data between on-premises and cloud solutions"
"The product is reliable."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"The most valuable feature is the ease of running queries."
"There are limitations when processing more than one GD file."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"It would be better if it had machine learning capabilities."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"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."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"Real-time replication is required, and this is not a simple task."
"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."
"It could be a bit more user-friendly."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
More Teradata Cloud Data Warehouse Pricing and Cost Advice →
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Teradata Cloud Data Warehouse is ranked 13th in Cloud Data Warehouse with 3 reviews. Azure Data Factory is rated 8.0, while Teradata Cloud Data Warehouse 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 Cloud Data Warehouse writes "Is quick, easy to upgrade, and cost-effective". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Teradata Cloud Data Warehouse is most compared with Snowflake, Amazon Redshift, Teradata, Oracle Exadata and Microsoft Azure Synapse Analytics. See our Azure Data Factory vs. Teradata Cloud Data Warehouse report.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse 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.
