We performed a comparison between Oracle Analytics Cloud and Splunk Enterprise Security 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 most valuable features of the solution are dashboarding and data visualization."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The best feature may be data flow, which is used to prepare and clean data."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"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."
"A valuable feature is the speed of the solution."
"Its huge, versatile AppBase helped me to configure and bring data from different sources to a unified platform."
"The initial setup is simple, not very complex. Initial deployment takes around 10 to 15 minutes to set up the entire base for Splunk including all three tiers."
"The most valuable feature is the incident dashboard, and the extensive use of correlation searches, which isn't available with a standard Splunk search package. This feature is important to me because it enables SOC analysts to do their job more efficiently and be able to investigate or mediate incidents at a faster pace."
"We can ingest and correlate data from virtually any type of system."
"It has reduced the time to resolution, time to investigate, and time to troubleshoot for debugging issues."
"It can log more logs than other solutions. It's a good way to troubleshoot problems."
"What I really like is that even if you have already collected the data, you can extract fields and can build searches."
"The solution's most valuable feature is that it helps with our use cases to detect anomalies in our data and it is important to my company since we have a lot of data on different logs on the systems."
"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."
"It is expensive."
"This solution could be more adaptable in its application."
"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."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"Delays in responses from the technical team can pose challenges for both vendors and clients, especially considering that Splunk applications and machine solutions are critical assets."
"An improved user interface along with multi-tenancy support would be beneficial."
"The CIM model is the method Splunk uses to normalize data and categorize its important parts, but it is quite complex."
"Splunk needs local technical support."
"Splunk could add more ways to manage archiving and storage. There isn't a web interface. You can do this on the SaaS version, but the on-premise platform doesn't have this option. It has other things but no option for remote NAS. I would like to have a personal web interface where I can specify how long logs should be stored. To have this readily available on the web, you need to adjust some settings on the backend. That is tricky."
"The tool itself is very difficult to configure. It's great for its number of inputs, for the different types of systems devices, and things that it could collect information from. To actually make good use of it, you need a fairly dedicated team of people that have some reasonably good programming or modeling skills to be able to do the things that you need to do with it. Whereas a lot of the other tools are better packaged for that, and so require a lot less training and a lot less dedication."
"The solution could improve by increasing the performance. We have run into problems when large amounts of data are processed."
"The price of the solution could be cheaper."
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews while Splunk Enterprise Security is ranked 1st in Security Information and Event Management (SIEM) with 240 reviews. Oracle Analytics Cloud is rated 8.0, while Splunk Enterprise Security is rated 8.4. 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 Splunk Enterprise Security writes "It has a drag-and-drop interface, so you don't need to know SQL or Java to construct a query ". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service, whereas Splunk Enterprise Security is most compared with Wazuh, Dynatrace, IBM Security QRadar, Elastic Security and Microsoft Sentinel.
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