We performed a comparison between Azure Data Factory and SAP IQ based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"It makes it easy to collect data from different sources."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"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."
"It is a complete ETL Solution."
"I am one hundred percent happy with the stability."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves moving data from SAP HANA to SAP NLS, which is essentially archiving. This allows us to retain access to the data via a link whenever it is required."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable."
"Columnar storage allows high compression, high load rates and high query performance."
"Unbeatable speed and compression with a colummn-structured relational database."
"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."
"Lacks in-built streaming data processing."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"It can improve from the perspective of active logging. It can provide active logging information."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Some known bugs and issues with Azure Data Factory could be rectified."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Multiplex is very problematic. There are consistency problems in the metadata, meaning it is possible to lose metadata consistency. You should make sure you have healthy backups."
"Concurrency and functional error messaging."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"I think the universe should be part of the Sybase IQ tool set."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"The organization who owns the product does not support it well and appears not to be doing significant development for the future."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while SAP IQ is ranked 21st in Relational Databases Tools with 17 reviews. Azure Data Factory is rated 8.0, while SAP IQ is rated 8.0. 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 SAP IQ writes "Easy to use, highly stable, but integration could improve". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas SAP IQ is most compared with Snowflake, SAP HANA, SAP BW4HANA, SQL Server and Apache Hadoop. See our Azure Data Factory vs. SAP IQ report.
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