MicroStrategy vs Oracle Analytics Cloud
Last Updated:Our analysts compared MicroStrategy against 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.
Product Basics
Product Insights
- Maximize Business Insights: Get a clearer picture of your data, revealing efficiencies — and deficiencies. Connect to and blend data from all your sources, leveraging machine learning capabilities, so that you can make key decisions with confidence.
- Speed and Performance: Accelerate response times on data queries and increase productivity. Improve performance at a database level, as the platform optimizes resource usage and limits demanding tasks.
- User-Friendly: Easily peruse and navigate through insights via a streamlined and familiar interface accessible to users of all skill levels.
- Seamless Integration: Integrate into a data ecosystem that has been developed organically, so that every piece works with others seamlessly from end-to-end with a unified architecture that also integrates with leading technology systems and open-source tools.
- Improve Communication: Collaborate on insights, discuss data points and generate and share with others. Increase user adoption and encourage a more intelligent enterprise.
- Enterprise Mobility: Do more than just access reports on-the-go — build information-rich mobile apps and put BI in the hands of a mobilized workforce.
- Scalability: Handle massive datasets without limitations and rapidly scale deployment, whether supporting a small team of users or an enterprise with thousands of employees.
- Quick Deployment: Select the deployment solution that best matches your needs: commercial or private cloud, on-premises or hybrid deployment. With pre-configured provisioning consoles for Azure and AWS, launch the platform in minutes with minimal effort.
- Free Trial: Sign up for MicroStrategy’s free 30-day full platform trial.
- Customized Responses: Get tailored responses to queries made in the personalized search feature, which can answer users’ specific business questions.
- Discover Data Trends: Highlight correlations between data points when displaying information visually, with a brushing feature that works across visualizations and updates so that users always have current information.
- Conversational Analytics: Ask analytical questions using natural language queries, in the way users would speak normally. Automatically generate natural language explanations of results to explain visualizations and trends. Receive guidance from chatbots across datasets to improve data literacy, allowing non-technical users to interact intimately with data.
- What-If Scenarios: Make accurate predictions and forecasts through what-if modeling, using a native multidimensional analysis engine called Oracle Essbase to develop complex business models.
- Collaboration: Share content in real time with other employees, shareholders, contractors and more with collaboration features. Find opportunities to share data and facilitate discussions that are stored alongside the visualization that spawned them.
- Machine Learning: Let the system autonomously identify patterns and trends through machine learning algorithms, then create the best visualization for the dataset. Generate narratives to immerse viewers and users in the significance of data.
- Data Connectivity: Connect to over a hundred databases, including enterprise directories, data warehouses, cloud databases, physical access systems, information assets and more through out-of-the-box gateways and drivers. Pull data from web-based reports and queries from other BI systems as well as ERP, CRM or web applications. Extend access to even more third-party sources with a software development kit that can allow users to build custom data connectors that integrate with R advanced analytics, Python, JavaScript, D3, GIS providers and more.
- Data Preparation: Wrangle and parse data in a process that automatically recommends, profiles and transforms data without needing to export it to a spreadsheet. Save data transformations for repeatable data preparation workflows.
- Federated Analytics: Leverage existing investments in trusted data sources like Tableau, Qlik and Power BI, blend information from multiple systems and build reports and insights without giving up any self-service BI solutions. Supercharge Excel sheets to analyze spreadsheets from within the interface.
- Enterprise Semantic Graph: Establish an index of all data assets that integrates and embeds everywhere, enriching data silos with location intelligence and real-time telemetry, enabling greater organization-wide data visibility and integrity.
- Data Visualization: Deploy data visualizations through branded, interactive user experiences, with customizable, user-friendly dossiers and dashboards, data discovery and personalized reports. Quickly build meaningful dashboards through prebuilt grids, graphs, charts and map templates combined with advanced user controls and third-party integrations.
- Big Data: Leverage existing big data investments through MicroStrategy’s open cloud architecture, including sources like Amazon, Google and Microsoft, as well as SQL, MDX, NoSQL and Hadoop technologies. Operationalize data lakes with the power of analytics, resulting in greater flexibility and greater visibility into your organization’s insights as a whole.
- HyperIntelligence: Let relevant and contextual insights find you right where you look — you don’t have to go looking for them. Find smarter answers to your questions in a flash, via zero-click extensions that integrate with websites, applications, Excel, email inboxes, Slack and more.
- Machine Learning: Drive intelligent, automated data discovery with advanced and predictive analytics powered by machine learning. Maximize the value of your data with AI-driven recommendations, voice-enabled assistant integration, natural language processing and more.
- Collaboration: Ask questions, ping colleagues with notifications in discussion threads, highlight patterns or call attention to specific data points by commenting directly within the UI. Share direct links via email, chat or directly invite others to a personalized view of a dossier.
- Personalization: Apply slice-and-dice filters to a dossier to find answers, then share that personalized view with others. Schedule and automate delivery of personalized reports across their enterprise through user preferences and security roles, ensuring that users see only the data relevant to them.
- Real-Time Alerts: Receive in-app, browser and mobile notifications that keep you up-to-date on KPIs, with native push notification functionality on the mobile app.
- Embedded Analytics: Extend the reach of their analytics with embedded analytical functionality in browsers and applications. Integrate into custom offerings with branding and white label tools. Enhance MicroStrategy with third-party capabilities.
- Digital Credentials: Ditch security vulnerabilities through plastic ID cards, passwords and tokens — digitize and modernize enterprise authentication with mobile role-based identity badges tied to users’ smartphones.
- Web and Mobile Apps: Access data from anywhere with an internet connection through cross-compatible mobile, web and desktop apps. Build, test and deploy your own apps that accelerate workflows.
- Data Preparation: Structure a range of data types, clean the data sets and prepare them for analysis with functions like clustering, forecasting and anomaly detection. Receive recommendations on the best way to cleanse, enrich and combine data to eliminate outliers and generate cohesive recommended visualizations.
- Data Connectors: Choose from over 45 data connectors to draw data from a huge range of data warehouses, databases and big data sources, then enter the data into a single interface. Employ drag-and-drop data blending between self-retrieved and proprietary data.
- Visualizations: Simplify data visualization by letting the system auto-create visualizations from data provided from a selection of 35 different options including charts, graphs, scattergrams and more. If the base selection isn’t enough, leverage over 20 downloadable add-ons and hundreds of third-party visualization options. Automatically generate narrative explanations of these visualizations while they are created, collaborated on and changed.
- Predictive Analytics: Get a smooth head start on creating forecasts based on historical data via pre-built predictive analytics models, or dig deeper and create custom models tailored to your unique needs.
- Mobile: Enjoy a consistent user experience across systems through a native mobile app, optimized for handheld devices and designed for touch. Utilize multi-gestural interactions to interact with data in an intuitive way unique to mobile devices.
- Embedded Analytics: Embed it into other enterprise solutions such as CRM through Javascript embedding, and embed visualizations, reports and dashboards directly into other applications.
Product Ranking
#15
among all
Business Intelligence Tools
#10
among all
Business Intelligence Tools
Analyst Rating Summary
Analyst Ratings for Functional Requirements Customize This Data
Analyst Ratings for Technical Requirements Customize This Data
User Sentiment Summary
929 reviews
719 reviews
MicroStrategy has a 'great' User Satisfaction Rating of 82% when considering 929 user reviews from 5 recognized software review sites.
Oracle Analytics Cloud has a 'great' User Satisfaction Rating of 84% when considering 719 user reviews from 4 recognized software review sites.
Awards
Synopsis of User Ratings and Reviews
MicroStrategy is a strong contender in the enterprise BI market that its customers praise for a multitude of reasons: its robust drag-and-drop reporting tool, strong data visualizations and dashboards and accessibility through web and mobile apps. Overall, more than 87.5% of users said that the platform is easy to use, with a user-friendly drag-and-drop interface that eliminates the need for coding in SQL. However, the solution is not without its drawbacks, most notably a time-consuming implementation process. It also struggles with performance issues, with its reliance on powerful hardware often leading to slow-downs. All of the users for whom the price was an issue said that the solution is expensive, though some of these users said that it offered great value and that prospective buyers shouldn’t shy away from costs. Finally, when it comes to learning how to use the tool, around 80% of users found its learning curve quite steep, and available resources lacking. Some users note that the free online classes were nice, but offered more refresher information than useful, new information, and that the available education and documentation isn’t comprehensive or up-to-date. While the front-end is user-friendly, many users note that the back-end developer mode has an even steeper learning curve and is quite difficult to navigate. In summary, MicroStrategy is a BI solution certainly worth consideration, especially for companies looking for a web-based tool with strong reporting capabilities and a user-friendly interface.
Oracle Analytics Cloud, the SaaS offering from the enterprise BI and ERP software giant, is a strong choice for mid to large-sized companies. OAC sets itself apart from the competition with its revolutionary and easy-to-use augmented analytics that make using machine learning as simple as pushing a button. Another strong point for OAC is its user-friendly GUI and interactivity, which encourage business users to access their insights. With powerful and flexible features such as mobile compatibility and super-solid reporting, even despite restrictions or limitations, many users find OAC to fulfill their business needs. However, this comes at a price — a price that several find a bit too high for their budget. As a constantly updating cloud-based solution, many users praise the way that OAC reduces their operating and maintenance costs, but others note that its newness makes the platform buggy. Some of these errors are difficult to resolve, with the cause of them indeterminable. Another point of frustration lies in support; several say that technical support is slow to respond to their tickets, and that patches to fix bugs in the platform are slow and sometimes ineffective. Even still, Oracle Analytics Cloud provides speed through its data processing engine, simplified machine learning and AI-powered augmented analytics and reporting capabilities that make it a frontrunner in the field of data analytics and data visualization, especially for bigger businesses looking to consolidate and automate their reporting.
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