Pyramid Analytics vs Oracle Analytics Cloud

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Our analysts compared Pyramid Analytics vs Oracle Analytics Cloud 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.

Pyramid Analytics Software Tool

Product Basics

Pyramid Analytics offers an enterprise-grade operating system that scales smoothly from single-user to organization-wide implementation. It’s OS agnostic and can be deployed in the cloud or on-premise.

It promotes data literacy by allowing different levels of users to utilize different capabilities. It is designed to support an organization’s decision workflow end-to-end from self-service analytics to forecasting.
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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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$10 Free, monthly, quote-based
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$16/User, Monthly
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Tailored to your specific needs
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Product Assistance

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Product Insights

  • Support Strategy: Execute analytics strategies with smooth implementation, management and support. Reduces silos by making data available to the entire organization.
  • Perform Self-Service Analytics: Maximizes value and streamlines operational investments through the delivery of faster, better insights. Self-service and a transparent user experience promote data literacy.
  • Create Compelling Visualizations: Clearly communicate insights through intuitive, dynamic graphics, including charts, graphs, tables and interactive visualizations.
  • Identify and Address Business Problems: Recognizes data trends and identifies problem areas while providing suggestions for rectifying them.
  • Make Data-Driven Business Decisions: Create models to understand operational data and forecast how changes will affect the business to make more informed decisions.
  • Perform One-Click Analytics: Draw data from both traditional and big data sources through machine learning analytics to make data processing simple. Augmented guidance features help guide users to answer key business questions.
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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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  • Advanced Analytics: Run advanced queries on large datasets and perform analysis on business questions.
  • Machine Learning Models: Create data models that adapt as the software learns to “anticipate” future needs and queries.
  • Drag-and-Drop: The Business User ETL offers a drag-and-drop interface that makes cleaning and preparing data for analysis easy.
  • Ad-Hoc Reporting: Create spur-of-the-moment reports to answer specific business questions rather than formulating on a recurring schedule.
  • Graphical Data Representation: A variety of graphical visualization options to depict datasets in the most aesthetically pleasing and intuitive way. Some of these include bar graphs, pie charts, scattergrams and more.
  • Content Sharing: The publish module can create pixel-perfect reports and embed them into a range of export formats, including emails and HTML.
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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

#29

among all
Business Intelligence Tools

#10

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

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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 144 reviews
Great User Sentiment 719 reviews
89%
of users recommend this product

Pyramid Analytics has a 'great' User Satisfaction Rating of 89% when considering 144 user reviews from 3 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.

3.9 (9)
4.0 (228)
4.1 (7)
4.1 (59)
4.5 (128)
4.3 (316)
n/a
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 Augmented Analytics, Data Pre-processing and Geospatial Visualizations and Analysis.

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

Synopsis of User Ratings and Reviews

Support: All users who mentioned support say that support teams were quick to reply and help out.
Performance: The platform can quickly make insights available to businesses, as reported by all reviewers who specified performance.
Ease of use: The system is easy to implement, deploy and integrate, according to about 83% of users who talked about ease of use.
Connectivity: About 75% of users who spoke about connectivity mentioned the solution’s ability to integrate and work with data from multiple sources.
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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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Steep Learning Curve: Pyramid Analytics has a huge learning curve, according to approximately 58% of users who referred to the learning curve.
Data Visualization: 60% of users who mentioned visualization say that dashboards were aesthetically unpleasant.
Functionality: Of users who talked about functionality, around 69% say that the system has stability issues.
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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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Pyramid Analytics is a flexible, scalable BI platform with machine learning capabilities. It lets users mash up data from multiple sources, model data within the application and run reports in mere minutes, as opposed to manual processes that would take hours.Its numerous features have the ability to carry out complex data analysis. Users found customer support to be helpful when demonstrating the tool’s full potential. Users also liked the ability to incorporate AI into their dashboards. However, Some users found navigating through dashboards to be difficult. Users also complained that dashboard features could be more effective. New features were sometimes unstable, introducing bugs to existing functionality. Conclusively, it is a cost-effective, intuitive solution with excellent support that can quickly deliver insights to all levels of a businesses.

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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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