Oracle Analytics Cloud Reviews & Pricing

by Oracle America | Founded 1977, Santa Clara, CA

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Overview Pricing Benefits Reviews Features

What is Oracle Analytics Cloud?

Industry Specialties: Serves all industries.

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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User Sentiment

Based on 719 reviews:

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Oracle Analytics Cloud Pricing

Based on our most recent analysis, Oracle Analytics Cloud pricing starts at $16 (Per User, Monthly).

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Starting From: $16
Pricing Model: Per User, Monthly
Free Trial: Yes, Request for Free

Training Resources

Oracle Analytics Cloud is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Oracle Analytics Cloud:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Oracle Analytics Cloud Benefits and Insights

Why use Oracle Analytics Cloud?

Key differentiators & advantages of Oracle Analytics Cloud

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.

Industry Expertise

Oracle Analytics Cloud helps all sorts of businesses — from tech giants and retailers to government agencies — make sense of their data. Banks, insurance companies, investment firms, and phone and internet companies use it to manage their data and services in the cloud.

Plus, it's helpful in analyzing data in healthcare, pharmaceuticals and biotechnology. It's popular with many companies selling food and drink products, as well as computer and software businesses.

Oracle Analytics Cloud Reviews

Average customer reviews & user sentiment summary for Oracle Analytics Cloud:

719 reviews

84%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of Oracle Analytics Cloud reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

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.

Cons

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.

Researcher's Summary:

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.

Key Features

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.

Approach to Common Challenges

Data Silos & Integration Issues: Oracle Analytics Cloud provides pre-built connectors and APIs for seamless integration with various data sources, eliminating data silos and enabling unified analysis.
Limited Self-Service Capabilities: Visual Builder offers a drag-and-drop interface for creating dashboards and reports, empowering business users to analyze data independently without relying heavily on IT.
Complex Data Preparation: Data Flows automates data preparation and transformation processes, reducing manual effort and streamlining workflows for faster insights.
Limited Accessibility & Collaboration: Interactive dashboards and reports facilitate collaboration and knowledge sharing among users, ensuring everyone has access to relevant information.
Lack of Scalability & Agility: The elastic cloud infrastructure allows for scaling resources up or down based on changing needs, ensuring optimal performance and cost-efficiency.
Limited Advanced Analytics: Machine Learning features offer AI-powered insights for predictive analytics and forecasting, enabling data-driven decision making.
Security & Governance Concerns: Oracle Analytics Cloud prioritizes data security and compliance, adhering to strict regulations and offering robust access controls.

Cost Of Ownership

Frequently asked questions regarding Analytics Cloud pricing include:

Q: What are the different service tiers offered by Oracle Analytics Cloud and how do they affect cost?

A: Oracle Analytics Cloud offers four service tiers: Standard, Enterprise, Platinum, and Private Cloud. Each tier provides access to different features and resources, with higher tiers offering greater scalability, performance, and security. As a result, the price per user per month increases significantly as you move up the tier ladder. For example, the Standard tier costs $80 per user per month, while the Platinum tier costs $400 per user per month. Choosing the right service tier depends on your specific needs and budget.

Q: How does Oracle Analytics Cloud handle billing for data storage and usage?

A: Oracle Analytics Cloud charges separately for data storage and usage beyond the included limits in your chosen service tier. Data storage is billed based on the amount of data stored per month, currently priced at $0.023 per GB. Data usage is billed based on the number of queries executed and data scanned, currently priced at $0.0001 per GB scanned. These charges can vary depending on your specific data volume and usage patterns. Carefully monitoring your data usage and storage can help you optimize costs.

Q: Are there any discounts or promotions available for Oracle Analytics Cloud?

A: Yes, Oracle occasionally offers discounts and promotions for Oracle Analytics Cloud. These may include annual commitments, volume discounts, or educational discounts. It's important to stay informed about current offers to potentially reduce your cost of ownership. Additionally, exploring alternative pricing options like pay-as-you-go plans available in certain regions can provide greater cost flexibility for organizations with fluctuating data needs.

Limitations

Notable limitations of Analytics Cloud include:

Isn't flexible when designing visualizations.
Has a steep learning curve, unlike Power BI and Tableau, which I found to be more intuitive.
Doesn’t perform as well with heavy data loads.
Requires additional effort when using external data, its primary focus being Oracle products.
Licensing is complicated.

Demo Resources

Resources that provide Analytics Cloud demo insights include:

Interactive Product Tour: Explore a guided tour of the platform's key features and functionalities, allowing you to virtually experience the user interface and core workflows.
Public Library: Access pre-built dashboards, reports, and data models showcasing various use cases and capabilities, providing inspiration and a starting point for your own data exploration.
Idea Lab: Discover innovative examples and real-world applications of the platform created by users, showcasing its potential across diverse industries and scenarios.
Live Demos: Attend live webinars and online sessions hosted by Oracle experts, where you can witness the platform in action, ask questions, and gain valuable insights.
Training Resources: Utilize online documentation, tutorials, and training modules to delve deeper into specific features and functionalities, enabling you to master the platform at your own pace.

FAQs

Frequently asked questions regarding Analytics Cloud include:

Q: How do I connect Analytics Cloud to my data sources?

A: Analytics Cloud connects to various data sources using pre-built connectors and custom configurations. Users can choose from a range of on-premises and cloud-based sources, such as Oracle Cloud Infrastructure (OCI) Object Storage, Salesforce, and Microsoft Excel. The specific connection method depends on the data source type. For example, OCI Object Storage requires a secure connection using an API key, while Salesforce uses OAuth authentication.

Q: What types of visualizations are available in Analytics Cloud?

A: Analytics Cloud provides a wide range of interactive visualizations for exploring and analyzing data. Users can create bar charts, line graphs, pie charts, heatmaps, scatter plots, and more. Additionally, Analytics Cloud offers advanced visualizations like geospatial maps, treemaps, and network diagrams. These visualizations can be further customized with various formatting options to enhance data interpretation.

Q: How do I share my analyses and dashboards with others?

A: Analytics Cloud allows users to share their analyses and dashboards with colleagues and collaborators. They can share individual visualizations, dashboards, or entire projects. Sharing options include public access, password-protected access, and individual user access. This feature facilitates collaboration and enables teams to work together on data insights.

Q: How does Analytics Cloud handle data security and governance?

A: Analytics Cloud prioritizes data security and governance. It leverages OCI's robust security infrastructure, including encryption at rest and in transit, access controls, and audit logging. Users can define fine-grained access permissions to control data visibility and prevent unauthorized access. Additionally, Analytics Cloud offers data lineage tracking to understand the origin and transformation of data within the platform.

Q: How does Analytics Cloud integrate with other Oracle Cloud services?

A: Analytics Cloud integrates seamlessly with several other Oracle Cloud services, including OCI Object Storage, Oracle Autonomous Database, and Oracle Cloud Infrastructure Data Flow. This integration allows users to leverage the entire suite of Oracle Cloud services for a comprehensive data analytics experience. For example, users can access and analyze data stored in OCI Object Storage directly within Analytics Cloud, eliminating the need for manual data movement.

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Testimonials

We chose Oracle Analytics Cloud Service to extend into and integrate with our existing big data analytics. With the help of Oracle Partner Vertice, this modern, agile, platform has enabled us to readily externalize our existing analytics and share insights with key customers.

We chose Oracle Analytics Cloud to help us both consolidate and then analyze management information at a group level, across our diverse portfolio. With the help of Oracle Partner Vertice, we will deliver more analytics at a Group and subsidiary level and further enhance our data-driven insights.

We are proud to implement Oracle Analytics Cloud. At first, we were reluctant to consider such a new concept, but once we saw its benefits – such as scalability, cost effectiveness, and ability to deliver actionable insights from our data – our decision was made.

We chose Oracle Analytics Cloud Service to help us leverage vast amounts of trip data for our customers around the world. With the help of Oracle Partner Vertice, we will deliver on-demand analytics, transforming taxi companies and other businesses in ground transportation into more data-driven organizations.

With Oracle Analytics Cloud, Enterprise, we aim to improve efficiency in decision making and have access to self-service analytics. With Oracle, we now have easier access to data from different sources across the enterprise — this flexible reporting framework will help us expand and scale our business.

Our goal is to transform computing by building technology in the cryptocurrency, blockchain, and AI space. It is critical for us to have a reliable, efficient enterprise data warehouse so we can generate actionable insights in real time, which is why we chose Oracle Autonomous Data Warehouse, Oracle Data Integration Platform Cloud, and Oracle Analytics Cloud.