We performed a comparison between Meraki Location Analytics and Oracle Analytics Cloud 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."Technical support has always been very good."
"The initial setup process is easy."
"I like Location Analytics' geofencing features for devices. You can manage thousands of devices with just a push of a button and deploy applications in seconds. For example, in schools, you can deploy an app update for thousands of iPads in just two clicks."
"In general, it is helpful because it allows administrators to see where the Wi-Fi and network services are being most used."
"The technical support services are good."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The technical support is excellent, and they respond quickly."
"It's great for consolidation and creating one source of truth."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product is easily customized."
"The solution is user-friendly."
"The biggest issue is negotiating the price with a client. That's the most complicated part, but the product is worth it."
"The technical support before implementation could be better for premium partners."
"I would like to see all of the features included in a single package."
"The pricing is a pain point for us. It's a bit expensive."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"The interfaces could be improved and some in-memory operations could be built in."
"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."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It is expensive."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
Meraki Location Analytics is ranked 35th in BI (Business Intelligence) Tools with 4 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews. Meraki Location Analytics is rated 10.0, while Oracle Analytics Cloud is rated 8.0. The top reviewer of Meraki Location Analytics writes "Straightforward to deploy, easy to maintain, provides good visibility into service usage". On the other hand, the top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Meraki Location Analytics is most compared with Microsoft Power BI, Rapid7 InsightVM and Tableau, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service. See our Meraki Location Analytics vs. Oracle Analytics Cloud report.
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