We performed a comparison between Azure Data Factory and SAS Data Management 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."The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"From what we have seen so far, the solution seems very stable."
"It is beneficial that the solution is written with Spark as the back end."
"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 aspect is the copy capability."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"The product offers very good flexibility."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The technical support is excellent."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The tool is reliable, quick, and powerful."
"This is an established product with powerful data analysis and varied options for user entry points."
"I am impressed with the tool's ability to customize."
"We have experienced some issues with the integration. This is an area that needs improvement."
"Some of the optimization techniques are not scalable."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"We require Azure Data Factory to be able to connect to Google Analytics."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The solution could use better documentation."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"The solution is quite expensive and hard to install/configure."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Azure Data Factory is rated 8.0, while SAS Data Management is rated 8.4. 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 SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview Data Governance, SSIS and IBM InfoSphere DataStage. See our Azure Data Factory vs. SAS Data Management report.
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