We performed a comparison between Oracle Analytics Cloud and Pentaho Business Analytics based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The best feature may be data flow, which is used to prepare and clean data."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"The technical support is excellent, and they respond quickly."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The most valuable features of the solution are dashboarding and data visualization."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"Pentaho Business Analytics' best features include the ease of developing data flows and the wide range of options to connect to databases, including those on the cloud."
"The most valuable feature of Pentaho is the Tableau report."
"Easy to use components to create the job."
"I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced."
"We were able to install it without any assistance from tech support."
"Pentaho is an analytics platform that can be used when an organization has a lot of big data storage systems already installed and needs to manage and analyze that data. It has a specific use case for unstructured data, such as documents, and needs to be able to search and analyze it."
"The initial setup is pretty straightforward."
"It is less scalable than Snowflake."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The scalability has room for improvement."
"Its FAW feature has limitations in terms of usage."
"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."
"Pentaho, at the general level, should greatly improve the easy construction of its dashboards and easy integration of information from different sources without technical user intervention."
"Pentaho Business Analytics' user interface is outdated."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"Version control would be a good addition."
"Another concern is that Pentaho is not customizable or interactive."
"Deployment is not simple. It is not simple because we are dealing with a lot of data; we are dealing with a lot of storage. So, it's not a simple process."
"The repository should be improved."
"Logging capability is needed."
Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews while Pentaho Business Analytics is ranked 20th in BI (Business Intelligence) Tools with 42 reviews. Oracle Analytics Cloud is rated 8.0, while Pentaho Business Analytics is rated 8.0. The top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". On the other hand, the top reviewer of Pentaho Business Analytics writes "Flexible, easy to understand, and simple to set up". Oracle Analytics Cloud is most compared with Oracle OBIEE, Databricks, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service, whereas Pentaho Business Analytics is most compared with Microsoft Power BI, Databricks, Microsoft SQL Server Reporting Services and Tableau. See our Oracle Analytics Cloud vs. Pentaho Business Analytics report.
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