Qlik Sense vs Oracle Analytics Cloud
Last Updated:Our analysts compared Qlik Sense 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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- Stay Competitive: Get insights into internal operations, processes and profits, and monitor market trends. Build and publish apps; customize tables and charts as necessary without needing additional developmental work. Set benchmarks to track performance metrics across the organization. Choose where to direct resources and where to capitalize on profits by analyzing changes in empirical data.
- Find Answers Independently: Glean data results with an intuitive, self-service interface and code-free visual tools. Take in information at-a-glance and probe insights on the fly with data updated instantly with every click. Foster a data-driven culture to empower all employees to build collective knowledge. Share insights directly, both within and outside of the platform.
- Get Automated Visualization Recommendations: Leverages machine learning (ML) to gather information from customer insights and industry knowledge for a smarter, accelerated analytics experience. Receive automated context-aware insight suggestions, prioritized based on personalized criteria, as well as recommendations on visualization types.
- Deploy Flexibly: Deploy it anywhere — on-premise, in a single private cloud or across multiple clouds and everything in between — with the ongoing freedom to modify the infrastructure as business requirements change. Deploy seamlessly on the Kubernetes cluster running in the public or private cloud.
- Scale As Business Grows: Scale while maintaining consistent performance, fast response times, reliability and security. Deploy consistent, predictable self-service BI at scale — start with Business and seamlessly upgrade to Enterprise as business needs evolve. Test performance and scalability with free tools available on the Community webpage.
- Get Insights On the Go: Access all features anywhere on any device, with the same functionality, either through a responsive HTML5 based client that adapts to web and mobile browsers or the native mobile app. Ensure a consistent, unrestricted experience of self-service BI on the go, enhanced by native mobile push notifications.
- Upgrade from QlikView: Unlock significant business value, gain more control over the platform and future-proof for the digital age through self-paced adoption. Seamlessly upgrade from QlikView to Qlik Sense at a fraction of the cost. Opt for a subscription or perpetual licensing model with SaaS or client-managed on-premises deployment.
- Globalization Support: Supports fifteen languages and currency conversions natively and detects which language to use based on the operating system and browser.
- Security: Secure proprietary information through data encryption at rest, with the industry-standard AES-256 GCM as the encryption algorithm. Generates periodic reports on CPU and RAM usage metrics. View necessary data with row and column-level permissions through login-specific section access.
- Value-Added Products: Add extra features such as conversational analytics, data indexing, location-based analytics and more through value-added products like Qlik NPrinting, Qlik Big Data Index, Qlik Insight Bot, Qlik DataMarket and Qlik GeoAnalytics.
- Regular Updates: The vendor releases updates five times a year.
- 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.
- Multi-Node Architecture: Deploys a modular architecture ubiquitously – on physical hardware, virtual platforms and cloud environments with horizontal and vertical scaling. Scales linearly with the addition of every extra node, thanks to in-memory processing, to accommodate twice the number of users. Ensures efficient load-balancing by distributing applications onto specific nodes.
- Data Connectivity: Pull and combine data from all sources, including databases, files, spreadsheets, websites, sources that connect through standard ODBC, OLE DB or REST APIs, big data lakes, cloud-based and on-premise applications and custom sources. Supports native integrations with popular technology partners, including Microsoft, Google, Amazon Web Services, Snowflake Salesforce and SAP.
- In-Memory Storage: Leverages columnar storage to provide significant data compression, more data in RAM and faster response times. Stores unique entries only once and presents data relationships as pointers.
- Data Mining: Identify hidden patterns in vast data sets and detect outliers through exploration, statistical analysis and ML-based algorithms. Get interactive, self-service visualizations, and search and calculation results at runtime with its associative, in-memory data indexing engine.
- Self-Service Data Preparation: Get AI-powered recommendations to combine, visually transform and ingest data from multiple sources. Surface complex data relationships through techniques like associative indexing. Organize and enrich data to make it more suitable for analysis.
- User Environment: Develop applications, create content through easy drag-and-drop and consume data insights with the Hub, its web browser interface. The Qlik Sense Management Console enables administrators to manage data connectivity, application and task management, security administration, monitoring and auditing.
- Responsive Design: Build and deploy to any platform, thanks to current standards of HTML5, CSS3, Javascript and web sockets. Automatically display and resize visualizations to fit any device, be it a browser, laptop, desktop, tablet or smartphone.
- Data Visualizations: Create smart visualizations based on chart suggestions, allowing for search, drill-down, zoom out and filter actions. Transform information from complex data sets into beautiful, digestible dashboards and charts. Present data in the form of bar and area charts, grid charts, heat maps, multi KPI charts, Sankey charts, Word Cloud charts and more.
- Interactive Dashboards: Design and distribute dashboards on which every element is interactive, encouraging viewers to dive in and explore data for themselves. Enhance interactivity with drill-down, tooltip, filtering, lasso selection, range selection and more visualization capabilities.
- Reporting: Drag and drop line items from a basic report view into custom visualizations on the fly without needing extra development work.
- Qlik NPrinting: Build canned reports using QlikView documents and Qlik Sense apps in Microsoft Office, PDF and web formats.
- Shared Insights: Share reports on-demand or set the delivery frequency through an email client. Subscribe to receive specific reports or access them from a specified folder location or the Qlik Sense Hub.
- Predictive Analysis: Predict what is likely to happen and decide what to do in the future with scenario and what-if analysis. Integrates with the KNIME Analytics platform to import data and export reports in a variety of formats that include CSV, XML, XLSX, JSON and more.
- Embedded Analytics: Add custom visualizations, data sources and reports into portals, applications, intranet and extranet sites through API integration. Or embed the platform into users’ workflows in the host applications. Integrates with edge-computing devices to analyze data where it lives. Supports embedded multi-tenancy with row-level security (RLS) to isolate tenant data.
- Streaming Analytics: Automatically integrates streaming data in real time across a wide range of databases, data warehouses and big data platforms through Qlik Replicate.
- IoT Analytics: Analyze data collected by IoT devices such as sensors on manufacturing equipment, trucks, pipelines, weather stations, smart meters and more.
- Collaborative Storytelling: Share interactive data stories that leverage live data, time-based snapshots and engaging visual effects. Interact on data insights with others by adding snapshots, narrative and context into analytics workflows, and tag and invite team members to discussions. Capture and share data dashboards within the enterprise community, contributing to the organization’s collective intelligence.
- Insights as a Service (IaaS): Query business data and discover insights through natural language processing and conversational analytics. Identify spike anomalies by analyzing patterns in historic data.
- Ask the Insight Bot a question and instantly receive relevant visualizations, insights, recommendations and links. Integrates seamlessly with many favorite messaging and collaboration tools like Slack, Salesforce, Skype and Microsoft Teams.
- Smart Search helps search across the entire data set within an application.
- Forecasting: Leverage advanced calculation and machine learning through engine-level sharing with third-party tools such as R. Make predictions using time series analysis of historical and near real-time data through an extension, Vizlib Line Chart.
- Animations: View changes in datasets over a range of values through animation. Display specific values by picking them manually on a progress slider on the sheet.
- Hub Spaces: Develop apps collaboratively and share them with others in the same space. Store and reuse data files and connections across various spaces and control access through strict permissions.
- Built-In Data Alerts: Get alerts for outliers and data anomalies based on advanced statistical calculations and complex logic. Request context-aware alerts for data that matters through self-service configuration, or get data-related broadcasts at the enterprise level.
- Web Connectors: Extract all data that includes a specific search term from Twitter. Get content metrics — likes and shares for comments and posts in the page feed — for multiple Facebook pages. Track statistics for YouTube videos that include channel comments, shares and downloads.
- 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
#5
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
2754 reviews
719 reviews
Qlik Sense has a 'great' User Satisfaction Rating of 85% when considering 2754 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
Qlik Sense is a powerful cloud-based BI application that performs quick and insightful analytics. Its associative engine and in-memory processing enable remarkably fast queries and analyses. Most users are satisfied with its data analysis and data visualization functions. They cite the tool’s ability to unearth deep connections between data points and display them in interactive, responsive visualizations, accessible from all devices. It excels in connecting to large data sets, as several reviewers note. Featuring drag-and-drop functionality, the platform is user-friendly; though some reviewers note it’s still less simple to use than some competitors’ solutions, and writing scripts and queries can be difficult. While it’s a strong analysis tool overall, it has a high learning curve to unlock its more powerful features; users can find this difficult to overcome due to lack of good training material, especially videos. As such, businesses with IT resources might find this tool more useful. On the flip side, many users say customizing visualizations is difficult or impossible. The solution lacks a number of desired features, and depends on plug-ins from the older QlikView offering to add functionality. However, these plug-ins can incur additional costs or sometimes lack compatibility with Qlik Sense. Additionally, small to medium-sized businesses might find the pricing models to be restrictive. Some users find it difficult to configure security capabilities, and version control isn’t available. Users mention it’s difficult to export information to share with others or use in presentations. Overall, even with its drawbacks, Qlik Sense is an extremely capable platform that offers a myriad of fast and powerful data analysis and visualization capabilities worth consideration.
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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