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."
"The trigger scheduling options are decently robust."
"The function of the solution is great."
"The most valuable features are data transformations."
"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."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"The most important feature is that it can help you do the multi-threading concepts."
"The most valuable feature is the copy activity."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"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."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"Lacks in-built streaming data processing."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"There aren't many third-party extensions or plugins available in the solution."
"Data Factory's monitorability could be better."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
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Ab Initio Co>Operating System is ranked 29th 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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