We performed a comparison between Ab Initio Co>Operating System and Azure Data Factory based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Co>Operating System's most valuable feature is its ability to process bulk data effectively."
"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."
"Allows more data between on-premises and cloud solutions"
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"The trigger scheduling options are decently robust."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"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."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"The number of standard adaptors could be extended further."
"Some of the optimization techniques are not scalable."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"We require Azure Data Factory to be able to connect to Google Analytics."
"There's space for improvement in the development process of the data pipelines."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
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Ab Initio Co>Operating System is ranked 28th in Data Integration with 2 reviews while Azure Data Factory is ranked 1st in Data Integration with 81 reviews. Ab Initio Co>Operating System is rated 9.6, while Azure Data Factory is rated 8.0. The top reviewer of Ab Initio Co>Operating System writes "Excellent bulk data processing for large enterprises". 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". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, AWS Glue, Talend Data Management Platform and Informatica Cloud Data Integration, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage. See our Ab Initio Co>Operating System vs. Azure Data Factory report.
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