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 best part of this product is the extraction, transformation, and load."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"From what we have seen so far, the solution seems very stable."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"We use the solution to move data from on-premises to the cloud."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"Data Factory's most valuable feature is Copy Activity."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"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."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"We have experienced some issues with the integration. This is an area that needs improvement."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
More Ab Initio Co>Operating System Pricing and Cost Advice →
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.
See our list of best Data Integration vendors.
We monitor all Data Integration 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.