We performed a comparison between Azure Data Factory and Informatica Enterprise Data Lake based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"Data Factory's best features are simplicity and flexibility."
"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."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"The data copy template is a valuable feature."
"I can do everything I want with SSIS and Azure Data Factory."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The process of using the tool's scalability option is well documented."
"The speed and performance need to be improved."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"The deployment should be easier."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"There is no built-in pipeline exit activity when encountering an error."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review. Azure Data Factory is rated 8.0, while Informatica Enterprise Data Lake 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 Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry.
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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.
