Spotfire vs Oracle Analytics Cloud
Last Updated:Our analysts compared Spotfire 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.
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- Scale for Large (or Small) Enterprises: Suitable for large organizations while also scaling well to small organizations, making the software flexible and keeping users in control of their data.
- Built for the Individual: Built with the individual analyst in mind, Spotfire desktop handles insights and data discovery versus an analyst deriving their insights from intel.
- Maintain Agility: Comes equipped with advanced predictive analytics tools that help enterprises stay agile in a constantly evolving business space.
- Complex Problems: Tailored to non-technical users and lets them combine geographical data, big data and more to solve any problem.
- TIBCO Community: The Tibco Spotfire community churns out e-learning courses, wiki entries and freely distributed dashboards for businesses to utilize.
- 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.
- Location Analytics: Offers robust locational analytics. Utilize geocoding, reverse geocoding and multi-layered maps right out-of-the-box.
- Streaming Analytics: Create interactive dashboards and integrate with the IoT, social messaging and more with real-time and historical data to stay on top of constantly changing data.
- Visual Analytics: With colorful dashboards and an intuitive UI, its visual analytics capabilities make it easy to find data as it becomes relevant and generate insights on the fly.
- Intelligent Data Wrangling: Automatically find data outliers, deficits and discrepancies, and then analyze that data to discover the underlying cost.
- 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
#9
among all
Business Intelligence Tools
#10
among all
Business Intelligence Tools
Analyst Rating Summary
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Analyst Ratings for Technical Requirements Customize This Data
User Sentiment Summary
1516 reviews
719 reviews
Spotfire has a 'great' User Satisfaction Rating of 84% when considering 1516 user reviews from 6 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.
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Synopsis of User Ratings and Reviews
TIBCO Spotfire is an analytics solution that provides its users with the ability to create powerful interactive data visualizations. Its ease of use and accessible platform makes it convenient to explore data and get valuable insights. However, it lacks an intuitive and straightforward user interface. It offers customizable dashboards and informative reports. It’s an ideal solution for managing large data volumes, but many reviewers have noted that it becomes slow while extracting large datasets. Also, it is not suitable for small data sets and qualitative data analysis.
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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