Oracle Analytics Cloud vs Panintelligence

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Our analysts compared Oracle Analytics Cloud vs Panintelligence based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Product Basics

Oracle Analytics Cloud is a public cloud service on which you can build and run reporting and analytics solutions. It can also manage data from Oracle Database and Oracle Autonomous Data Warehouse. Pairing it with Oracle Data Integration can help you move and transform data at scale. But that’s not all. You can build and deploy analytics applications even with non-Oracle systems. However, the level of integration and capabilities may differ.

You’ll need an Oracle Cloud account, and a free trial is available. Oracle customizes the view for you, whether you’re a web app developer, account admin or cloud architect. Workbooks and dashboards enable data exploration. You can set it up so the system sends reports to selected users on schedule. Governed analytics is available; your data stays secure. Annotations, export options and integration with social platforms are other capabilities.

Two pricing tiers are available. The Professional edition has self-serve analytics, direct source connections and dataflows for preparing content. It costs $16 per user monthly.

The Enterprise edition lets you enrich data, connect to private sources and build semantic models. You can track usage and set encryption keys, all at a cost of $80 per user monthly. Opt for a user or consumption model based on OCPUs (Oracle CPUs).

The user reviews were an interesting read. I haven’t seen many products with such strongly divided opinions. In all positive reviews, over 70% of the users voted for a specific feature, indicating a high level of user satisfaction and perceived value. On the flip side, over 87% of users said price and a steep learning curve were blockers to successful adoption.

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Panintelligence is a self-service, easy-to-use solution for company-wide reporting. It can display multiple data sources side by side, and the data shown is always live and up-to-date.

It is easy to implement, cloud-based and offers multi-tenancy, load balancing, data mining and predictive analytics. Dashboards make it easy for anyone to visualize and communicate complex data in real time. It’s embeddable, highly customizable and reporting is streamlined. User activity can be restricted and audited, with role-based security.
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$16/User, Monthly
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Tailored to your specific needs
$250 Monthly
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Tailored to your specific needs
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Product Insights

  • Leverage ML: According to our research, Oracle Analytics Cloud gets the top score of 76 for augmented analytics. The Explain and AutoML functionalities and one-click predictions give it an edge over other competitors like Qlik Sense and
  • Generate Reports: Oracle Analytics Cloud scores 93 in our analyst rankings with instant and planned reports that are interactive and accept conditional formatting. Plus, it supports text and voice searches even on the mobile app.
  • Monitor Usage: Track expenses with the Billing tab on the Oracle Cloud Console. Keep tabs on usage with a dedicated tool, Oracle Cost Analysis, included with your Oracle Cloud subscription.
  • Try for Free: Sign up for a free Oracle Cloud trial and get access to the Autonomous Database and Object Storage. You’ll need to sign in with your credit card details. The vendor deducts a token account verification amount from your card, which they return promptly. For me, it was annoying as they deducted it again three days later. Get $300 credits for 30 days to use the Analytics Cloud, Data Integration and the Container Engine for Kubernetes.
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  • Embeddability: Embed dashboards, charts and reports directly into any application, with real-time updates, improving data insights and access to information without moving data from live transactional systems.  
  • Combine Data: Connect and combine data with prebuilt data connectors from numerous sources, structured or unstructured, large or complex, to get better data insights.  
  • Quick and Easy to Deploy: Reduce development time by integrating seamlessly across different platforms quickly; no coding knowledge required.  
  • Bird's Eye View: Pulls data from multiple disparate data sources to create a centralized repository of data and uses AI analytics to make insights accessible, over the internet or locally, to receive a holistic view of data.  
  • Impressive Visualizations: Visualize data for easier discovery and insights with visually accessible charts and graph formats.  
  • Insights On-the-Go: Dashboards and reports are accessible anywhere, on any device, ensuring access and interaction with data insights on the move. 
  • Insights Into Foresights: Uses existing data to anticipate future trends and scenarios with predictive analytics, allowing businesses to tailor their strategies and budgets.  
  • Removes Technical Barriers: Intuitive and easy to use, even techniques such as data mining and data modeling can be used by the most non-tech-savvy.  
  • Scalability: A scalable pricing module means lower starting rates to minimize risk, adapt and grow with businesses.  
  • Security: Provides role-based access to data, keeping data securely stored at the source and meeting new GDPR and PCI regulations.  
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  • Deployment: Install and run anywhere, including as a hybrid solution. Scale the instance depending on your workload — deploy OCPUs in multiples of two, extending up to 52. Or pause it when idle. Though identity management is available, there is the option to use one’s own SSO provider. Admins can set user, group and role-based permissions.
  • Connectivity: Make decisions based on data; connect to social media feeds, data lakes and IoT sources. Store and process data at scale, irrespective of its volume, velocity and variety. Get started as soon as you log in with over 40 readymade connectors.
  • Direct Query: Oracle Analytics Cloud uses live queries and data caching to fetch responses. Each has its downside. Live connections are heavier on the system, and you might have to compromise on data freshness with data caching. A combination of both might be best. Consider live queries for critical KPIs and data caching for less frequent queries.
  • Data Preparation: Enrich data from the interface — get data quality insights as you work. Remove the grunt work — create reusable flows for transforming data you can test, share and schedule. Add custom calculations or write regular expressions in the dataset editor.
  • Semantic Data Modeling: Engage business, dev and data teams in meaningful discussions. Give them data views with a presentation layer that simplifies metrics. Hide the physical data structure with a logical one that speaks the business language. Give stakeholders the power to explore data independently.
  • AI/ML: Boost productivity with embedded machine learning and natural language insights every step of the way. Display quick forecasts, trend lines and clusters from a popup menu with one click. View the basic facts, key drivers and anomalies with the Explain option. Hit the ground running with recommendations on dimensions, measures and attributes to use when you don’t know where to start.
  • Oracle Analytics Publisher: Generate reports from any dataset or semantic model. Create formatted documents unique to your business, be it shipping labels, checks, letters or PDF forms.
  • Data Visualizations: Put your best foot forward with suitable charts and graphs that convey your message effectively. Modify them to answer users’ questions better. Choose from over 45 visualization types, or build your own using extensions from its vast library.
  • Embedded AI On Mobile: Get real-time alerts and intelligent recommendations on mobile. The Oracle Analytics mobile app captures your preferences and location. Upload datasets just like on the desktop or create a workbook from existing data. Powerful searches enable access to your favorite worksheets; add them to your home screen for a quick view. Use voice-enabled searches and listen to the results as a podcast.
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  • Data Connectors: Bring multiple data sources together, either online or on-premises, using a wide range of data connectors such as Sage 200, Sage 50, Xero and Salesforce. 
  • Predictive Analytics: Construct predictive models to predict future outcomes of live data. In-app modeling helps understand characteristics and patterns to automate tasks and decisions based on event predictions.  
  • White Labeling: Every single component of the application can be redesigned to look according to the user’s preferences, starting from design to accessibility. 
  • Dashboards: Spot trends and patterns using customizable, interactive, easy-to-use dashboards to visualize big data in a central location. Easily visualize graphs and reports using a range of drag and drop features. Share easily and securely.  
  • Drill Down: Dig deeper into more specific layers of data to discover and extract deeper insights. Get a granular overview of data with just a click. 
  • Reporting: Create customized, detailed reports by pulling key elements visualized in dashboards. Get real-time insights using automatic scheduling and modify personalized reports for specific recipients.  
  • KPI Monitoring: Monitors KPIs using predetermined triggers or machine learning, identifying key changes and patterns to inform relevant users.  
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Product Ranking

#10

among all
Business Intelligence Tools

#404

among all
Business Intelligence Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Oracle Analytics Cloud
Panintelligence
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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 88 82 100 100 100 100 71 100 79 83 98 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 719 reviews
Excellent User Sentiment 42 reviews
84%
of users recommend this product

Oracle Analytics Cloud has a 'great' User Satisfaction Rating of 84% when considering 719 user reviews from 4 recognized software review sites.

93%
of users recommend this product

Panintelligence has a 'excellent' User Satisfaction Rating of 93% when considering 42 user reviews from 2 recognized software review sites.

4.0 (228)
4.6 (36)
4.1 (59)
4.8 (6)
4.3 (316)
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4.3 (116)
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Awards

SelectHub research analysts have evaluated Oracle Analytics Cloud and concluded it earns best-in-class honors for Augmented Analytics, Data Pre-processing and Geospatial Visualizations and Analysis.

Augmented Analytics Award
Data Pre-processing Award
Geospatial Visualizations and Analysis Award

Panintelligence stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

User-Friendly: Citing its interface, about 91% of users agreed that a drag-and-drop UI makes it easy to use.
Machine Learning: Around 86% of users who discussed augmented analytics were impressed with its ML capabilities.
Integrations: Approximately 84% of users who mentioned connectivity said the platform worked well with other systems, especially Oracle products.
Functionality: According to 83% of users who reviewed capabilities, it has all the required features to support data tasks.
Data Visualization: Around 73% of users who mentioned visualization praised the platform for its storytelling features.
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Support: All users who mentioned support say that support teams were very helpful, friendly and knowledgeable.
Customization: It has numerous robust customization options, as reported by all reviewers who specified customization.
Ease of Use: The system is easy to use, with an intuitive UI, according to about 88% of users who talked about user-friendliness.
Visualization: All users who spoke about visualization said that dashboards look clean and fresh and are easy to navigate.
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Price: About 88% of reviews citing pricing said that it’s too expensive.
Adoption: Approximately 87% of users who discussed onboarding said there’s a significant learning curve.
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Functionality: Approximately 71% of users who referred to functionality mentioned the lack of advanced features available.
Mobile BI: All users who reviewed this feature said that the solution lacks a mobile app and has to be used on browsers, which can be limiting.
Cost: The product has restrictions on budgeting, according to all users who mentioned the cost.
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Oracle Analytics Cloud is among the vendor’s many data services, including a business intelligence suite and a data intelligence platform. Besides, Oracle offers bespoke solutions for HCM, supply chain and customer experience. What differentiates Oracle Analytics is that extra dash of augmented capabilities.Embedded BI is where it truly shines, giving you natural language insights with a single click. This feature extends to its mobile app, and it outperforms many leading platforms with natural language queries and podcasts on mobile.According to our researchers, Oracle Analytics Cloud has fewer out-of-the-box features than its competitors, such as Power BI and Qlik Sense. Plus, licensing becomes complex when combining the database, middleware and analytics applications.It’s common for large vendors to offer specialized platforms, but the downside is that they can be out of reach of small organizations. But there’s a silver lining. Many vendors offer customized solutions, so we advise reaching out to the vendor for quotes.Users appreciate its regular updates, but some report initial bugs due to its relative newness. Despite a positive user experience, the learning curve can be steep. Some users found technical support slow and inadequate, as did I. They took two business days to get back to me when I needed assistance with my account.Oracle Analytics, though a robust platform, is suitable for mid- and large organizations. If you seek a powerful, scalable platform, consider opting for a trial, but be prepared for sticker shock, especially if you’re new to the Oracle ecosystem.

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Panintelligence is an OS-agnostic, flexible solution with AI capabilities. It lets users combine data from a multitude of sources to create visualizations quickly. The solution empowers the user to customize almost every aspect, ranging from dashboards to themes, reports and access. The interface is powerful but easy to understand. Users had very positive feedback about customer support, mentioning that they were very fast to respond to issues. There were mixed reviews on the learning curve. While some said it was easy to introduce beginners, others noted the necessity to understand data concepts to use the tool. The drill down feature in dashboards is robust, helping users thoroughly visualize data. Users also complained about the lack of advanced features such as NLP and collaboration. However, customer support listens to the users’ needs to keep adding rich functionality to their software.

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