--- description: Review of Oracle Analytics Cloud Software: system overview, features, price and cost information. Get free demos and compare to similar programs. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: Oracle Analytics Cloud | Reviews, Pricing & Demos - SoftwareAdvice AU --- Breadcrumb: [Home](/) > [Data Analysis Software](/directory/535/data-analysis/software) > [Oracle Analytics Cloud](/software/309153/oracle-analytics-cloud) # Oracle Analytics Cloud Canonical: https://www.softwareadvice.com.au/software/309153/oracle-analytics-cloud Page: 1 / 2\ Next: [Next page](https://www.softwareadvice.com.au/software/309153/oracle-analytics-cloud?page=2) > Oracle Analytics helps organizations discover unseen insights from their data. It offers powerful data preparation, data enrichment and visualization as well as embedded machine learning capabilities. This unified platform eliminates the need for multiple expensive tools and complex architectures, enabling people of all roles to quickly explore, transform, and visualize data without specialized skills. Oracle Analytics supports both on-premises and cloud deployments, offering an adaptable path to the cloud. Data visualization: Discover how Oracle Analytics can help explore data visually and create compelling stories. Uncover the signals in your data that can be conveyed in compelling visual stories. Speed up the data analysis process and make fast decisions with actionable information. With a code-free, drag-and-drop interface, anyone can build interactive data visualizations, no special skills required\! Machine learning: ML makes it easy to discover unseen patterns and insights from large and varied data from many data sources. Oracle Analytics removes human bias and lets users easily interpret potential outcomes and opportunities. Extend Oracle Analytic’s capabilities by seamlessly integrating additional OCI AI Services (like AI Vision and AI Language) for use in analytics projects. Business users don't need special skills to run certified machine learning models on their data sets. Data scientists, engineers and developers can speed up model building, training, and publishing with Oracle Autonomous Database as a high-performance compute platform using language choices like Python, R and SQL. Data preparation and enrichment: Make use of self-service data ingestion, profiling, repair, and extension for local and remote datasets, saving time and alleviating potential human error. Data Quality Insights can be used to quickly scan data and spot discrepancies that otherwise may go unnoticed, and Custom Reference Knowledge helps to identify business-specific information and provide data enrichment suggestions. Visual dataflows can be constructed to modify, combine, and enrich data, storing the results within Oracle Analytics, a connected relational database (ex. Snowflake or MySQL), or Oracle Essbase. Data sources: Unify information across your organization and multiple sources for a comprehensive and consistent view. Oracle Analytics offers more than 35 native data connection choices, including JDBC, Snowflake, Google BigQuery, Salesforce. Create, manage, and share data connections securely with individuals, teams, or the entire organization. Access data no matter where it's located: public/private cloud, on-premises, data lakes, databases, or personal datasets like spreadsheets or text extracts. Data modelling: Achieve trusted, consistent information across your enterprise with a business representation of data, without compromising governance. Non-technical users can access data with business terms, pre-defined hierarchies, consistent calculations, and metrics. Create seamless, high-performance views across data sources with a configurable balance of live and cached connections. Support multiple data visualization tools like Power BI or Tableau and retain a consistent, trusted view of enterprise metrics. > > Verdict: Rated **4.2/5** by 16 users. Top-rated for **Likelihood to recommend**. ----- ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.2/5** | 16 Reviews | | Ease of Use | 4.3/5 | Based on overall reviews | | Customer Support | 4.2/5 | Based on overall reviews | | Value for Money | 4.0/5 | Based on overall reviews | | Features | 4.4/5 | Based on overall reviews | | Recommendation percentage | 80% | (8/10 Likelihood to recommend) | ## About the vendor - **Company**: Oracle - **Location**: Chicago, US - **Founded**: 1977 ## Commercial Context - **Pricing model**: Per Feature (Free Trial) - **Target Audience**: 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop), Windows (On-Premise), Linux (On-Premise), Android (Mobile), iPhone (Mobile), iPad (Mobile) - **Supported Languages**: Arabic, Brazilian Portuguese, Chinese, Croatian, Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Thai, Traditional Chinese, Turkish - **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belgium, Belize and 202 more ## Features - AI/Machine Learning - Access Controls/Permissions - Active Directory Integration - Activity Tracking - Ad hoc Analysis - Ad hoc Query - Ad hoc Reporting - Alerts/Notifications - Audit Trail - Authentication - Charting - Collaboration Tools - Contextual Search - Customisable Branding - Customizable Reports - Dashboard - Dashboard Creation - Data Analysis Tools - Data Connectors - Data Dictionary Management ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat ## Category - [Data Analysis Software](https://www.softwareadvice.com.au/directory/535/data-analysis/software) ## Related Categories - [Data Analysis Software](https://www.softwareadvice.com.au/directory/535/data-analysis/software) - [Business Intelligence (BI) Tools](https://www.softwareadvice.com.au/directory/4336/bi/software) - [Data Visualisation Tools](https://www.softwareadvice.com.au/directory/400/data-visualization/software) - [Data Governance Software](https://www.softwareadvice.com.au/directory/4158/data-governance/software) - [Machine Learning Software](https://www.softwareadvice.com.au/directory/4358/machine-learning/software) ## Alternatives 1. [Microsoft Power BI](https://www.softwareadvice.com.au/software/23530/microsoft-power-bi) — 4.6/5 (1870 reviews) 2. [Tableau](https://www.softwareadvice.com.au/software/1940/tableau) — 4.6/5 (2348 reviews) 3. [Google Analytics 360](https://www.softwareadvice.com.au/software/137155/google-analytics) — 4.7/5 (8089 reviews) 4. [Google Charts](https://www.softwareadvice.com.au/software/180388/google-charts) — 4.6/5 (740 reviews) 5. [Google Data Studio](https://www.softwareadvice.com.au/software/145102/google-data-studio) — 4.5/5 (335 reviews) ## Reviews ### "Data analysis on the cloud." — 4.0/5 > **sanchita** | *3 July 2024* | Information Technology & Services | Recommendation rating: 8.0/10 > > **Pros**: 1. Powerful source for storing, managing and data analysis. 2. Data problems now don't need to be done by coding. 3. It is really easy to maintain and access, it is scalable as well. 4. The service offered by Oracle is just superb here. 5. The features and integration part are very clear and decent to understand and implement. > > **Cons**: 1. Sometimes performance issues come as it deal with data. 2. A better view of the data on the dashboard is one of the things that needs improvement. 3. Expensive for small businesses. > > A new vision for developers is to make it easy for them to visualize things, integrate those with other tools, and many more. ----- ### "Oracle Analytics Powerful data visualizations with Intelligent insights" — 5.0/5 > **Verified Reviewer** | *9 June 2021* | Market Research | Recommendation rating: 7.0/10 > > **Pros**: The best about Oracle Analytics Cloud is their advance and Intelligent features. It is a powerful tool comes with all capabilities to perform analytics work for us. Oracle Analytics Cloud come with all set of features required for deriving and sharing data insights. We can customize Oracle Analytics Cloud as per our requirement. > > **Cons**: Oracle Analytics Cloud shows server busy sometimes. They can work on their dashboard to look more attractive. Next is Language Translation and Mobile/Tablet Compatibility > > We are a Market Research company and we highly depend on analytics and reports. Oracle Analytics Cloud helping us to generate those reports through their artificial intelligence technology. ----- ### "OAC Insight by Mechanical Engineer" — 3.0/5 > **Joseph** | *4 May 2024* | Construction | Recommendation rating: 7.0/10 > > **Pros**: I use Oracle Analytics Cloud as SAC alternative; I like how it automate data preparation and modeling procedures. > > **Cons**: Oracle Analytics Cloud lack mobile application and is highly costly. ----- ### "Oracle Analytics Cloud: A Powerful Tool for Gaining Data Insights" — 4.0/5 > **Swapnil** | *17 February 2023* | Textiles | Recommendation rating: 5.0/10 > > **Pros**: We value the flexibility that Oracle Analytics Cloud offers. It may be installed on the cloud, which eliminates the need for any hardware investments or software installation. This allows for easy scaling up or down as needed. Moreover, Oracle Analytics Cloud provides a complete collection of capabilities designed to enable data analysis and gaining insights into patterns and trends easier. This enables firms to make more informed decisions based on their data. > > **Cons**: While the software is comprehensive in many ways, it does have some limitations in terms of scalability. Oracle Analytics Cloud offers some impressive features for users, but it does not offer any out-of-the-box solutions for enterprise level organizations that need to scale up quickly. Additionally, the integrated machine learning capabilities are somewhat limited compared to more specialized AI software solutions. > > I've been using Oracle Analytics Cloud for a few months and I'm really happy with the findings. The platform is simple to use and has a number of features that make data analysis quick and straightforward. It has streamlined my workflow by automating many of the complicated operations I used to do manually, such as data sorting and filtering, visualisation creation, and sophisticated analysis. Overall, I'm quite pleased with Oracle Analytics Cloud; it's made my job lot simpler\! ----- ### "Scalable and secure public cloud service" — 4.0/5 > **Derek Isaac** | *22 April 2021* | Computer Software | Recommendation rating: 10.0/10 > > **Pros**: It provides the most extensive cloud analytics in a unified platform including powerful inline data prep, advanced analytics, self-service visualization, self-learning analytic, and enterprise reporting that delivers dynamic insights. It provides you a collaborative, complete platform that brings the power of analytics and data to every decision and process in the cloud, desktop, data center, and on premise. It allows you to create reports of every kind including sales reports, consumer churn reports, etc. > > **Cons**: The initial setup takes much time. Sometimes, the gauge graph does not operate appropriately. It needs to add more graphs. It has some limitations in the canvas view regarding selecting colors for chart objects. It needs to make the backup and recovery process more intuitive. Also, it does not contain many visualization features in comparison to other tools such as looker and tableau. It slows down when numerous users try to query info in the same database. Its integration with other tools is quite tough. > > One major benefit is that it provides a complete set of capabilities to perform collaborative analytics for enterprises and workgroups. With this platform, you obtain service management capabilities such as automated life cycle management and scaling and patching. It provides tools to deliver and share data insights without the need to consolidate numerous versions of spreadsheets. The interface allows app developers to embed and customize rich analytic experiences in the app flow. It provides faster predictions and enables you to get appropriate reporting. ----- Page: 1 / 2\ Next: [Next page](https://www.softwareadvice.com.au/software/309153/oracle-analytics-cloud?page=2) ## Links - [View on SoftwareAdvice](https://www.softwareadvice.com.au/software/309153/oracle-analytics-cloud) ## This page is available in the following languages | Locale | URL | | de | | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | | fr | | ----- ## Structured Data