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, SAP and others in BI (Business Intelligence) Tools."The best feature may be data flow, which is used to prepare and clean data."
"This is a stable and scalable solution."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"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."
"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."
"It's great for consolidation and creating one source of truth."
"The technical support services are good."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"Without Splunk Enterprise Security, it would be difficult for us to manage and prioritize alerts. There's a potential to lose track of important notifications, and it's essential to our security that we do not miss anything. Splunk has improved our investigations because the reporting and dashboarding make things so much easier. We can provide weekly or monthly reports. I also like Splunk's ability to integrate."
"The dashboards are the most valuable feature. We like the ability to drill in and see what queries are under the dashboard, build new visualizations, edit the querying, and see the reports."
"It has the ability to correlate data, analyze and review it."
"I like the ease with which dashboards can be created."
"The ability to digest any information and then correlate it in accordance with what you need is valuable. The ability to connect to pretty much everything and bring the information in the same format is also valuable. On top of that, we can use their language in order to create and customize the dashboards, correlations, or analytics that we want to incorporate."
"It helps us uncover bottlenecks in the network."
"It has reduced the time to resolution, time to investigate, and time to troubleshoot for debugging issues."
"The speed of the search engine"
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"The interfaces could be improved and some in-memory operations could be built in."
"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."
"It is expensive."
"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 solution could be more flexible."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"Splunk needs local technical support."
"It would be great if I could have a certain dialogue box in Splunk that uses innovative AI tools like ChatGPT, which are available now in the tech department."
"The administration of the cluster and app deployment to indexers or search heads can be done only using ssh access and command line, there is no GUI tools for that."
"The historical data extraction needs improvement. I would like the capability of taking data and having it trend longer."
"The CIM model is the method Splunk uses to normalize data and categorize its important parts, but it is quite complex."
"I haven't found a way for me to create my own plugins and integrate them into Splunk, but this isn't necessarily a limitation; it could simply be a lack of knowledge on my part."
"Its setup is a little bit complex for a distributed environment. Their support can also be better. If we miss the response for more than a week, they usually close the case. Sometimes, it can take us more than a week to reply."
"The solution could use a different licensing model."
Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews while Splunk Enterprise Security is ranked 2nd in Security Information and Event Management (SIEM) with 221 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 Oracle OBIEE, Databricks, 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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