Domo and Azure Data Factory are both leading solutions in the data integration and transformation category. Domo offers advantages with user-friendly tools that are accessible to non-specialized users, but Azure Data Factory appears to have the upper hand for enterprises due to its strong integration with Azure services and extensive data source connections.
Features: Domo features a diverse set of connectors, Magic ETL for data processing, and an intuitive interface catering to non-technical users. Its data visualization tools simplify presenting information to varied user skill levels. Azure Data Factory is recognized for its seamless integration with Azure services, comprehensive set of over 90 connectors across data types, and powerful ETL capabilities through its user-friendly, drag-and-drop interface.
Room for Improvement: Domo could enhance its data management and visualization flexibility and address the slow rendering speeds. It is also seen as limited in connector offerings, necessitating improvements in integration tools. Azure Data Factory needs better integration with non-Azure systems and enhanced monitoring capabilities. Users also report the need for more intuitive user interface design and improved documentation to enhance usability.
Ease of Deployment and Customer Service: Domo excels in on-premises deployment and provides technical support that is mostly dependable, though initial setup may face delays. Azure Data Factory's cloud-based alignment is beneficial for modern digital strategies, and although its customer service is generally reliable, some users critique the clarity of its documentation.
Pricing and ROI: Domo is considered expensive but offers significant ROI due to quick implementation and operational savings, with pricing varying significantly. Some users find it challenging to justify the cost for smaller operations. Azure Data Factory's usage-based pricing is competitive, although it can grow costly with increased data processing needs, yet offers a compelling ROI for scalability-focused enterprises.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
While they eventually provide the correct answers, their support for smaller customers could be improved.
Azure Data Factory is highly scalable.
Sigma, which is written for Snowflake, scales more easily than Domo.
The solution has a high level of stability, roughly a nine out of ten.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
There is a problem with the integration with third-party solutions, particularly with SAP.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
End users require a license to run their own reports and dashboards, which are fairly expensive.
The pricing is cost-effective.
It is considered cost-effective.
Domo is expensive compared to other solutions.
It connects to different sources out-of-the-box, making integration much easier.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
I have been using it for four years and have been able to extract the information I need from it.
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.
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