Anonymous UserSenior Manager at a tech services company
Rodrigo Radtke De SouzaSolutions Architect at a tech consulting company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"From what we have seen so far, the solution seems very stable."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"Powerful but easy-to-use and intuitive."
"It is a complete ETL Solution."
"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."
"It is easy to deploy workflows and schedule jobs."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"All ETL code is stored in repositories in underlying database schemas. The number of users can access and work on the same solution using a client tool. So distributed teams can work on this tool in an efficient manner."
"The scalability is great. It's one of the reasons we chose the solution."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The product could provide more ways to import and export data."
"The Microsoft documentation is too complicated."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The setup and configuration process could be simplified."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"The resource management aspect of the solution could be improved."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"This is a cost-effective solution."
"The price you pay is determined by how much you use it."
"Understanding the pricing model for Data Factory is quite complex."
"I would not say that this product is overly expensive."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"The licensing cost is included in the Synapse."
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements: from high-volume, high-performance batch loads, to event-driven, trickle-feed integration processes, to SOA-enabled data services. Oracle Data Integrator (ODI) 12c, the latest version of Oracle’s strategic Data Integration offering, provides superior developer productivity and improved user experience with a redesigned flow-based declarative user interface and deeper integration with Oracle GoldenGate.
ODI12c further builds on its flexible and high-performance architecture with comprehensive big data support and added parallelism when executing data integration processes. It includes interoperability with Oracle Warehouse Builder (OWB) for a quick and simple migration for OWB customers to ODI12c. Additionally, ODI can be monitored from a single solution along with other Oracle technologies and applications through the integration with Oracle Enterprise Manager 12c.
Azure Data Factory is ranked 2nd in Data Integration Tools with 24 reviews while Oracle Data Integrator (ODI) is ranked 5th in Data Integration Tools with 5 reviews. Azure Data Factory is rated 7.8, while Oracle Data Integrator (ODI) is rated 8.8. The top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". On the other hand, the top reviewer of Oracle Data Integrator (ODI) writes "I have used it to improve run-times of many corporations' overall integration run-times". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services and Mule Anypoint Platform, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Oracle GoldenGate and Talend Open Studio. See our Azure Data Factory vs. Oracle Data Integrator (ODI) report.
See our list of best Data Integration Tools vendors.
We monitor all Data Integration Tools 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.