We performed a comparison between Azure Data Factory and TIBCO Scribe based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."An excellent tool for pipeline orchestration."
"We use the solution to move data from on-premises to the cloud."
"The most valuable feature of this solution would be ease of use."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"We have been using drivers to connect to various data sets and consume data."
"It makes it easy to collect data from different sources."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"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 most valuable feature of TIBCO Scribe is the connectors available to various products."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"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."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"The setup and configuration process could be simplified."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"Lacks in-built streaming data processing."
"Data Factory's performance during heavy data processing isn't great."
"The solution should provide better documentation and scenario-based samples."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while TIBCO Scribe is ranked 49th in Data Integration with 1 review. Azure Data Factory is rated 8.0, while TIBCO Scribe is rated 6.0. 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 TIBCO Scribe writes "A cloud solution that has a lot of connectors, but it should provide better documentation and scenario-based samples". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas TIBCO Scribe is most compared with SSIS, Jitterbit Harmony , Ab Initio Co>Operating System and Tray.io.
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.