Oracle Analytics Cloud and Apache Superset compete in the data analytics domain. Oracle Analytics Cloud appears to have the upper hand due to its comprehensive feature set and strong data processing capabilities, which make it suitable for enterprises seeking robust analytics solutions.
Features: Oracle Analytics Cloud provides advanced data visualization, augmented analytics, and predictive insights, ideal for complex data processing. Apache Superset offers customizable dashboards, seamless SQL database integration, and lightweight open-source flexibility, appealing to teams seeking customizable and open-source solutions.
Room for Improvement: Oracle Analytics Cloud could improve by reducing its complexity for non-technical users, offering more cost-effective options for smaller enterprises, and enhancing its mobile integrations. Apache Superset could benefit from enhanced scalability for larger datasets, improved user-interface design, and more comprehensive documentation to ease the deployment for new users.
Ease of Deployment and Customer Service: Oracle Analytics Cloud offers a streamlined deployment experience with extensive support from Oracle's customer service. Apache Superset requires more technical expertise during deployment but benefits from an active community for troubleshooting and support.
Pricing and ROI: Oracle Analytics Cloud has a higher initial setup cost, promising substantial ROI through its broad analytical capabilities. Apache Superset offers a cost-effective setup as an open-source solution, providing favorable ROI for organizations that can leverage its flexibility and minimal licensing fees.
Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.
Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.
What are the key features of Apache Superset?Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.
Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.
Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.
Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.
Oracle Analytics Cloud Features
Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:
Oracle Analytics Cloud Benefits
There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.
Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”
PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has 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.”
Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”
Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "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."
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.