We performed a comparison between Azure Data Factory and HiT Software DBMoto based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."In terms of my personal experience, it works fine."
"An excellent tool for pipeline orchestration."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The solution has a good interface and the integration with GitHub is very useful."
"The security of the agent that is installed on-premises is very good."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"The most valuable features are that is easy to install and it is user-friendly."
"DBMoto was very simple to set up and move our tables to the Oracle DB."
"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."
"It would be better if it had machine learning capabilities."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"When the record fails, it's tough to identify and log."
"We require Azure Data Factory to be able to connect to Google Analytics."
"Data Factory's monitorability could be better."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Pricing is an area that needs improvement."
"This product would be improved with additional built-in functions for simpler date conversion, as well as for data type transformations."
Earn 20 points
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while HiT Software DBMoto is ranked 16th in Data Replication. Azure Data Factory is rated 8.0, while HiT Software DBMoto is rated 9.0. 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 HiT Software DBMoto writes "Replication monitor feature is helpful in that it allows a quick view of the status, errors, and results of the last replication". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas HiT Software DBMoto is most compared with Syniti Data Replication, Informatica PowerCenter and E2E Bridge.
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