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."Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."
"Co>Operating System's most valuable feature is its ability to process bulk data effectively."
"We have been using drivers to connect to various data sets and consume data."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"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."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"The flexibility that Azure Data Factory offers is great."
"Powerful but easy-to-use and intuitive."
"We haven't had any issues connecting it to other products."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"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."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"There aren't many third-party extensions or plugins available in the solution."
"We require Azure Data Factory to be able to connect to Google Analytics."
"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."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"When the record fails, it's tough to identify and log."
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.