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Oracle Analytics Cloud pros and cons

Vendor: Oracle
4.0 out of 5
408 followers
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Oracle Analytics Cloud Pros review quotes

BK
Sep 19, 2022
It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce.
Hafiz Abdul Mannan - PeerSpot reviewer
Nov 29, 2023
I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial.
FQ
Jun 7, 2022
It's great for consolidation and creating one source of truth.
Learn what your peers think about Oracle Analytics Cloud. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
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Paresh Bhangale - PeerSpot reviewer
Aug 28, 2023
The most valuable features of the solution are dashboarding and data visualization.
AK
May 16, 2024
The advanced calculations by the tool are highly effective
Istiaque-Bhuiyan - PeerSpot reviewer
Oct 19, 2023
It plays a crucial role in facilitating decision-making for various organizational stakeholders.
Dennis Kevogo - PeerSpot reviewer
Apr 11, 2022
The solution can scale.
BA
May 1, 2019
Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly.
BA
May 2, 2019
The best feature may be data flow, which is used to prepare and clean data.
GurkanONAY - PeerSpot reviewer
Apr 19, 2024
The ability to quickly search for and access relevant data is crucial.
 

Oracle Analytics Cloud Cons review quotes

BK
Sep 19, 2022
It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need.
Hafiz Abdul Mannan - PeerSpot reviewer
Nov 29, 2023
The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions.
FQ
Jun 7, 2022
When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud.
Learn what your peers think about Oracle Analytics Cloud. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
817,234 professionals have used our research since 2012.
Paresh Bhangale - PeerSpot reviewer
Aug 28, 2023
When you implement the product on a small scale, it doesn't generate any ROI.
AK
May 16, 2024
The implementation of generative AI and machine learning should improve
Istiaque-Bhuiyan - PeerSpot reviewer
Oct 19, 2023
It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases.
Dennis Kevogo - PeerSpot reviewer
Apr 11, 2022
They could improve the ease of developing the dashboard and interacting with it.
BA
May 1, 2019
One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now.
BA
May 2, 2019
The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing.
GurkanONAY - PeerSpot reviewer
Apr 19, 2024
The product could benefit from increased flexibility compared to other vendors.