Oracle Analytics Cloud vs Orbit Analytics

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Our analysts compared Oracle Analytics Cloud vs Orbit Analytics 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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Orbit, which stands for Operational Reporting and Business Intelligence Technology, provides self-service advanced analytics to businesses for on-demand, data-driven decision-making. It pulls data from a wide range of sources, including Microsoft Excel, and enables high-performance data analysis through visualization and reporting. Connecting to more than 200 business applications, it ensures data integrity and security compliance across platforms.

Leveraging R for statistical computing, it empowers businesses to make accurate and timely business decisions.
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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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  • Improved Business Decisions: Drive innovation, boost efficiencies and increase revenue through better-informed business decisions. Identify opportunities and spot data trends by surfacing accurate and updated information. Analyze past insights to uncover previously undiscovered data relationships and define future strategy. 
  • Data Integration: Connects out-of-the-box to more than 200 applications like Oracle E-Business Suite, MS-Excel, PeopleSoft, Microsoft Office, Taleo, Salesforce and more. Breaks down data silos to aggregate information from a multitude of disparate data sources. Pulls data from cloud-based, on-premise and hybrid databases. 
  • Advanced Analytics: Forecast business trends by using what-if analyses, scenario modeling and decision trees. Discover patterns, relationships and outliers in data to make informed decisions. Pull data from disparate sources for multidimensional predictive analysis through crosstabs and other visualization types. 
  • Ad-Hoc Reporting: Get answers to data questions faster through its intelligent query generator. Gain in-depth, real-time data insights through easy drag-and-drop, filtering and slice-and-dice actions. Add visual context to reporting insights with geospatial data relationships and plan ahead. 
  • Tell Data Stories: Create visually compelling, interactive data visualizations from proprietary information, unifying disparate data sets into one single dashboard. Display complex information through simple visuals like charts, maps and graphs and easily digestible dashboard summaries. Share visualizations with others by embedding into business applications and exporting to PDFs. 
  • Cloud BI: Reduce the cost of ownership through a flexible cloud solution that combines enterprise-class analytics with an autonomous data warehouse. Integrates with existing on-premise and cloud-based data sources to deliver real-time reporting and analytics. 
  • Data Security: Secures data through built-in row and column-level access permissions based on roles. Automatically syncs with business applications and aligns with pre-existing security rules, account profiles and team member roles. 
  • Deploy Anywhere: Deploys on-premise, in the cloud and in hybrid solutions. 
  • Mobility: View and share mobile-optimized dashboards and reports on the go. Create custom reports, or build from more than 1,000 pre-built templates to share business insights with others. Click on dashboard objects like charts and graphs to drill down into proprietary data for deeper insight. 
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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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  • Reporting: Create reports from more than 1,000 pre-built reporting templates or build custom ones. Aggregate data from multiple sources and combine it into pixel-perfect reports. Create document templates within Word and Excel, and then add data and publish in Excel, HTML or PDF formats for sharing. 
  • Integrate with Excel: Upload data as Excel files to perform ad-hoc data analysis through easy drag-and-drop actions. Filter specific data fields or slice and dice to view pertinent business metrics. Or, pull live data directly into Excel from one or more business applications and run multiple reports at the same time. 
  • Data Modeling: Build models through associative querying and aggregation of multi-dimensional data through Star Schema and Snowflake queries. Get data insights from OLAP cubes and third-party data sources with customizable options for deeper analysis. 
  • Metadata Management: Customize, reuse, capture and publish data dimensions, hierarchies, performance metrics, KPIs and report layout parameters. Store key metadata objects separately from application databases, enabling faster retrieval, when needed. 
  • Integration with Python and R: Create analytical models from live data by using R and Python. The R Statistics and Python libraries are embedded within its BI server. 
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Product Ranking

#10

among all
Business Intelligence Tools

#373

among all
Business Intelligence Tools

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Analyst Rating Summary

89
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100
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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Oracle Analytics Cloud
Orbit Analytics
+ Add Product + Add Product
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 4 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.

95%
of users recommend this product

Orbit Analytics has a 'excellent' User Satisfaction Rating of 95% when considering 4 user reviews from 2 recognized software review sites.

4.0 (228)
4.8 (3)
4.1 (59)
n/a
4.3 (316)
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4.3 (116)
4.5 (1)

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

Orbit Analytics 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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Free to Use: Orbit is free for everyone to use, which makes it a great option for businesses of all sizes.
Easy to Set Up: Orbit is easy to set up and use, even for users who are not familiar with web analytics. Users have praised the platform for its intuitive design and straightforward implementation process.
Comprehensive Data: Orbit provides a comprehensive view of website traffic, including page views, unique visitors, bounce rate, and more. This data can be used to track website performance and identify areas for improvement.
Customizable Reports: Orbit allows users to create custom reports to track the specific metrics that are most important to them. This flexibility is highly valued by users who need tailored insights.
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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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Sampling Issues: For high-traffic websites, Orbit Analytics may extrapolate data based on a subset, leading to potential inaccuracies in metrics like bounce rate or session duration.
Limited Real-Time Reporting: Orbit Analytics doesn't offer truly real-time data updates, making it less suitable for situations demanding immediate insights, such as monitoring the impact of a flash sale.
Complex Interface: Some users find the interface overwhelming, especially those new to web analytics or accustomed to more user-friendly tools.
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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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Is Orbit Analytics the business intelligence software that will make your insights truly out of this world? Users praise Orbit Analytics for its user-friendly interface, making it easy for even non-techy folks to grasp. They also dig its robust reporting features, which help them whip up insightful reports that actually make sense. One user raved about how Orbit Analytics helped them wrangle a massive dataset into a clear and concise report that impressed higher-ups. However, some users find its predictive analytics capabilities a bit lacking compared to competitors like Tableau or Power BI. They wish it had more advanced forecasting tools to get a better handle on future trends. Overall, Orbit Analytics seems like a good fit for businesses who need a straightforward, user-friendly platform to analyze their data and create reports. If you're looking for cutting-edge predictive analytics, you might want to explore other options.

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