We performed a comparison between Actian Ingres and Azure Data Factory based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse."The deployment of our solution across a number of servers using Ingres .NET has meant that we can protect the database server behind a highly secure firewall and deploy the front end solutions on a normal web server."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The solution can scale very easily."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"The solution has a good interface and the integration with GitHub is very useful."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"The most valuable feature of this solution would be ease of use."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The trigger scheduling options are decently robust."
"The ability to reset the log file without stopping the DBMS would be helpful for us."
"Some of the optimization techniques are not scalable."
"The product could provide more ways to import and export data."
"Some known bugs and issues with Azure Data Factory could be rectified."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"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."
"The pricing scheme is very complex and difficult to understand."
"There's space for improvement in the development process of the data pipelines."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
Earn 20 points
Actian Ingres is ranked 22nd in Data Warehouse while Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews. Actian Ingres is rated 9.0, while Azure Data Factory is rated 8.0. The top reviewer of Actian Ingres writes "Good multi-platform SQL compatibility, as well as performance and data integrity". On the other hand, the top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". Actian Ingres is most compared with Snowflake, Oracle Database Appliance, Databricks and Teradata, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics.
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