We performed a comparison between Oracle Analytics Cloud and Teradata Data Lab based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools."The ability to quickly search for and access relevant data is crucial."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"This is a stable and scalable solution."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The solution is user-friendly."
"The product is easily customized."
"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."
"It has increased the speed of reporting."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"This solution could be more adaptable in its application."
"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."
"The scalability has room for improvement."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"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."
"The initial setup was complex as we had to rewrite a lot of the code."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"Their level of technical support is adequate. It could be better."
Earn 20 points
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews while Teradata Data Lab is ranked 31st in BI (Business Intelligence) Tools. Oracle Analytics Cloud is rated 8.0, while Teradata Data Lab is rated 8.6. 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 Teradata Data Lab writes "You can schedule any testing you want to do in production". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service, whereas Teradata Data Lab is most compared with Teradata Vantage, Databricks, Microsoft Power BI, Tableau and Oracle DataScience.com Platform.
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