We performed a comparison between Azure Data Factory and CloverDX Designer based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"I am one hundred percent happy with the stability."
"I like the basic features like the data-based pipelines."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The solution has a good interface and the integration with GitHub is very useful."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"The function of the solution is great."
"Its simplicity and the way it handles graphs are the most valuable features."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"The Microsoft documentation is too complicated."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"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."
"There are limitations when processing more than one GD file."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler."
Earn 20 points
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while CloverDX Designer is ranked 66th in Data Integration. Azure Data Factory is rated 8.0, while CloverDX Designer is rated 7.0. 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 CloverDX Designer writes "Simple, stable, and allows us to handle data from various sources, but needs enterprise features for logging, recoverability, and monitoring". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas CloverDX Designer is most compared with .
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