Key Features

• 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. 

Limitations

•  Can’t install on Linux and Mac OS. 
•  Doesn’t provide dashboard and report templates. 
•  Doesn’t offer powerful reporting functionality. 
•  Doesn’t offer much control over visualization design. 

Suite Support

Cost of Ownership