SAP Analytics Cloud vs Oracle Analytics Cloud

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

SAP Analytics Cloud Software Tool

Product Basics

SAP Analytics Cloud is an augmented analytics solution that uses machine learning technology to generate data visualizations and simulate predictive scenarios. It provides every member of an organization with access to automatic, interactive insights via natural language processing. Powered by artificial intelligence, it helps businesses make decisions with confidence by exploring what-if possibilities based on historical data.

There are multiple plans available with different functionality levels, so businesses can choose the subscription that provides the best fit for their needs.
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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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$36/User, Monthly
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Tailored to your specific needs
$16/User, Monthly
Get a free price quote
Tailored to your specific needs
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Product Assistance

Documentation
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Knowledge Base
24/7 Live Support
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Product Insights

  • Increase Efficiency: Automatically generates relevant explanations and insights, saving time for those who would otherwise spend it slicing and dicing data to find that information.
  • Smarter Analytics: Digs deeper and thinks smarter with data thanks to machine learning technology that powers its Smart Predict, Smart Insights and Smart Discovery modules.
  • No IT Training Needed: Discover insights through natural-language processing which eliminates the need for cryptic queries. Easily access augmented analytics, irrespective of skill levels in data science or visualization.
  • Anticipate Problems: Detect risks and avoid issues before they happen through predictive forecasting and alerts.
  • More Informed Decisions: Determine the best course of action through AI-powered capabilities that take the uncertainty and guesswork out of decision-making.
  • Visualize Impact: Software algorithms identify key influencers and make it easier to see what drives business and what impacts the bottom line the most.
  • Work Better Together: Collaborate through the cloud, keeping in constant communication to get the job done together.
  • Free Trial: Download a 30-day free trial version from the vendor's website.
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  • 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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  • Data Preparation: Alerts as to possible errors and automatically cleans data through machine learning technology to enhance data for deeper insights. Offers context-based suggestions for better data preparation and data visualizations through Smart Transformations.
  • Chat With Data: Type questions into the Search to Insight bar in natural language to instantly create visualizations — no syntax mastery necessary. Analyze data easily, similar to using a search engine.
  • Instant Data Visualization: See the full picture in seconds; the solution generates interactive charts and graphs automatically upon query.
  • Predictive Forecasting: Generates prediction models that learn from historical data to automatically detect risks and predict what is likely to happen in the future.
  • What-If Analysis: Create what-if simulations through the power of self-service machine learning. Plan for the next steps by fine-tuning prediction scenarios based on confidence levels.
  • Highlight KPIs: Answer the “why” and “what” questions through augmented analytics. Identify the top contributors to business performance — the people, products and processes that contribute to the overall story.
  • Analyze Anomalies: Take corrective action aided by Smart Discovery, which automatically points out outlying data.
  • Hybrid Analytics: Protect technology investments by continuing to manage on-premise systems and existing data infrastructure, while simultaneously moving towards the future by leveraging the cloud. Supports a wide range of data connections, ensuring import and access to data from any source to maintain a 360-degree view of the business.
  • Partners: Over 100 partners offer upwards of 430 analytical extensions in the SAP App Center that provide additional value and industry specific applications to the platform.
  • Built-In Collaboration: Create discussions, assign tasks and deadlines and comment on data points. Share information and interact with each other continuously on screen.
  • Mobile App: Stay connected to the Cloud via a responsive, interactive iOS app.
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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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Product Ranking

#34

among all
Business Analytics Tools

#15

among all
Business Analytics Tools

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Analyst Rating Summary

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87
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89
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76
97
96
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Availability & Scalability
Data Management
Deployment Options
OS Support
Professional Services and Maintenance
Availability & Scalability
Extensibility
OS Support
Professional Services and Maintenance
Training

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

SAP Analytics Cloud
Oracle Analytics Cloud
+ Add Product + Add Product
Advanced Analytics Augmented Analytics Dashboarding And Data Visualization Data Management Data Querying Embedded Analytics Geospatial Visualizations And Analysis Internet Of Things (IoT) Analytics Mobile BI Platform Functions Reporting 88 50 97 100 88 0 65 60 87 91 93 89 76 96 95 88 43 84 60 90 98 93 0 25 50 75 100
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73%
27%
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77%
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23%
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88%
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11%
89%
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11%
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43%
29%
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86%
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88%
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80%
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90%
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10%
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10%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

SAP Analytics Cloud
Oracle Analytics Cloud
+ Add Product + Add Product
Availability & Scalability Data Sources Connectivity Deployment Options Extensibility OS Support Security 100 68 100 50 100 88 100 81 93 100 100 98 0 25 50 75 100
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38%
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62%
85%
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15%
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89%
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User Sentiment Summary

Great User Sentiment 834 reviews
Great User Sentiment 719 reviews
85%
of users recommend this product

SAP Analytics Cloud has a 'great' User Satisfaction Rating of 85% when considering 834 user reviews from 4 recognized software review sites.

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.

4.2 (274)
4.0 (228)
4.3 (72)
4.1 (59)
4.1 (148)
4.3 (316)
4.3 (340)
4.3 (116)

Awards

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SelectHub research analysts have evaluated Oracle Analytics Cloud and concluded it earns best-in-class honors for Training.

Training Award

Synopsis of User Ratings and Reviews

Data Visualization: Approximately 91% of users who reviewed visualization said that they can customize dashboards effortlessly with the solution’s wide range of templates and graphics libraries.
Ease of Use: Citing the platform’s modern and intuitive interface, around 89% of users said that the platform makes it easy to develop stories without technical knowledge thanks to Smart Discovery.
Data Analysis: Mentioning its forecasting and predictive analysis capabilities, approximately 87% of users said that the solution enables collaborative enterprise planning via statistical and predictive analysis.
Web and Mobile Accessibility: Discussing its easy accessibility on multiple browsers, around 72% users said that the platform works well on a wide range of devices.
Data Connectivity: Approximately 70% of the users who mentioned integration said that the tool, with strong live data connections, integrates well with other applications and data sources.
Functionality: Around 55% of the users who discussed features said that the tool is scalable and quite versatile, with frequent updates.
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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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Performance: Approximately 85% of users who reviewed performance said that some features do not work well at the enterprise level.
Reporting: Around 58% of users who mentioned reporting said that report creation with the tool is complicated and needs IT support.
Data Management: Approximately 52% of users who discussed data preparation said that the platform needs more ubiquitous data modeling capabilities.
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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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SAP Analytics Cloud is a powerful data visualization tool that helps users explore data in an easy-to-understand format and discover metrics that help them make informed decisions. Many users who reviewed visualization said that the platform has rich graphics libraries and a range of templates for story presentation of business metrics. Citing its aesthetic design, a majority of users said that the solution’s interface is intuitive for programmers and non-technical users alike. Mentioning its strong predictive and augmented analysis capabilities, a lot of users said that the platform is a strong planning tool and helps them gain business insights easily. Many users said that the tool works well on a plethora of devices, including mobile, and is accessible on multiple browsers, though some users said that its offline mode capabilities are limited. Most of the users who reviewed data integrations said that the tool handles large amounts of data seamlessly, though quite a few users said its compatibility with live connection data sources is limited to other SAP products. Reviewing functionality, a majority of users said that the tool is versatile and scalable to ensure a great end-to-end user experience, though some said that it needs more features, such as improved live data analytics. The solution does have its limitations, though. Around 85% of users who reviewed its performance said that it struggles at the enterprise level, though quite a few users said that it performs exceedingly well within the SAP ecosystem. A majority of the users who mentioned reporting said that the solution lacks automatic report distribution and broadcasting capabilities, though some said that it has excellent analytical and data-oriented report creation. Many users who discussed data management complained that the process for updating an existing data model needs a lot of rework, and that the solution needs more versatile modeling features. Overall, SAP Analytics Cloud is a planning tool with strong BI capabilities that brings the power of cloud computing to self-service data analysis for gaining actionable insights into business metrics.

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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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