We performed a comparison between Azure Data Factory and SAP Replication Server 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."It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"An excellent tool for pipeline orchestration."
"The scalability of the product is impressive."
"The most important feature is that it can help you do the multi-threading concepts."
"It is easy to deploy workflows and schedule jobs."
"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."
"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."
"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."
"SAP is renovating different things. We are using external tools to connect as of now. It is going well, and now the new generation integration platforms are going to be pretty easy."
"SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience."
"It speeds up the performance in terms of how fast you are able to access the data, look at it, get it reported to you, and send it to somebody. It also reduces the amount of storage."
"We can customize any workflow and we also like the business domain modeling that can be done."
"The solution needs to be more connectable to its own services."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"There aren't many third-party extensions or plugins available in the solution."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"The initial setup is not very straightforward."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"The private solution is expensive. If you're in a situation where you're paying IBM or AWS or somebody just to host you specifically, you're paying people to run it and you're taking care of all the upgrades."
"I would like to see it become mobile-friendly."
"Improvement is a never ending story, and HANA is doing some improvements. We are able to adopt that, and we have to do it by integration with HANA. They are very major changes that we need to see."
"There is room for improvement in terms of pricing and faster support."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SAP Replication Server is ranked 27th in Data Integration with 6 reviews. Azure Data Factory is rated 8.0, while SAP Replication Server is rated 8.2. 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 Replication Server writes "Eliminates replication and allows you to use only one database, speeding up performance and reducing amount of storage". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas SAP Replication Server is most compared with Qlik Replicate, Oracle GoldenGate, Fivetran and SSIS. See our Azure Data Factory vs. SAP Replication Server report.
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