Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle OBIEE offers user security, data security, and many other security options. OBIEE also has a machine learning option, which is very good. OBIEE works best for very large organizations.
Microsoft BI is easy to learn, very user-friendly and stable, and integrates well with everything in the Microsoft ecosystem. This solution offers many different licensing options and the technical support is very good. It is a very good solution for teaching and training and works great integrating with Excel.
Oracle OBIEE implementation and deployment can be confusing, requiring technical expertise and experience to manage. The pricing model is expensive and it is not a cost-effective solution for smaller enterprises. There also seems to be a lot of redundancy with regard to creating the necessary code to make things run smoothly. This solution should be more intuitive and less complex. Scalability could also be easier.
With Microsoft BI, design and visualization seems a bit limited. They should offer better licensing options with more flexibility for various unique client needs, especially with smaller enterprises. Moving to the cloud makes licensing needs even more challenging to figure out and to choose the best option. Support could be better in explaining how issues were resolved and what steps were taken to resolve them.
Conclusion
Oracle OBIEE is very user-friendly and offers customizable dashboards. The visualization is very good and they offer AI with good forecasting options and machine learning. This is a great solution for large-scale enterprises. Microsoft BI is a good option for smaller-scale enterprises and, of course, works great with everything within the Microsoft ecosystem. It is a great option for the less tech-savvy user.
Manager - Revenue & Growth|Strategy & Planning | Market Intelligencee at a media company with 10,001+ employees
Real User
Nov 8, 2021
When comparing Power BI with OBIEE, it is evident that OBIEE emerges as the winner in the data management aspect, while Power BI scores drastically above OBIEE in the self-service and data visualization aspects.
Power BI and OBIEE make a strong pair in the Analytics landscape by complementing the weaknesses of one with the strengths of the other!
Therefore, it is good to leverage the best of both OBIEE and Power BI, by connecting them seamlessly and securely through BI Connector.
Microsoft Power BI and Oracle OBIEE both compete in the business intelligence software category. Power BI is often seen as having the advantage due to its integration capabilities and affordability, while Oracle OBIEE is known for its robust enterprise features.Features: Microsoft Power BI integrates well with third-party components, making it a flexible solution for self-service reporting. It offers robust data visualization tools and is easy to use, catering to various business needs....
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle OBIEE offers user security, data security, and many other security options. OBIEE also has a machine learning option, which is very good. OBIEE works best for very large organizations.
Microsoft BI is easy to learn, very user-friendly and stable, and integrates well with everything in the Microsoft ecosystem. This solution offers many different licensing options and the technical support is very good. It is a very good solution for teaching and training and works great integrating with Excel.
Oracle OBIEE implementation and deployment can be confusing, requiring technical expertise and experience to manage. The pricing model is expensive and it is not a cost-effective solution for smaller enterprises. There also seems to be a lot of redundancy with regard to creating the necessary code to make things run smoothly. This solution should be more intuitive and less complex. Scalability could also be easier.
With Microsoft BI, design and visualization seems a bit limited. They should offer better licensing options with more flexibility for various unique client needs, especially with smaller enterprises. Moving to the cloud makes licensing needs even more challenging to figure out and to choose the best option. Support could be better in explaining how issues were resolved and what steps were taken to resolve them.
Conclusion
Oracle OBIEE is very user-friendly and offers customizable dashboards. The visualization is very good and they offer AI with good forecasting options and machine learning. This is a great solution for large-scale enterprises. Microsoft BI is a good option for smaller-scale enterprises and, of course, works great with everything within the Microsoft ecosystem. It is a great option for the less tech-savvy user.
When comparing Power BI with OBIEE, it is evident that OBIEE emerges as the winner in the data management aspect, while Power BI scores drastically above OBIEE in the self-service and data visualization aspects.
Power BI and OBIEE make a strong pair in the Analytics landscape by complementing the weaknesses of one with the strengths of the other!
Therefore, it is good to leverage the best of both OBIEE and Power BI, by connecting them seamlessly and securely through BI Connector.