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Qlik Sense

Qlik Sense

Overview

What is Qlik Sense?

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

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Learn from top reviewers

Video Reviews

2 videos

Qlik Review: How Qlik Sense Opened the Door for this Business Analytics Manager
02:26
Qlik Review: Qlik Sense Houses Business Data In One Place For Easy Analytics Discovery
02:43
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Pricing

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Standard

$20

Cloud
per month per user (10 user minimum)

Premium

$2700

Cloud
per month unlimited basic users & purchased full users

Qlik Sense Enterprise on Windows

Contact Sales

On Premise

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.qlik.com/us/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $20 per month per user (10 user minimum)
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Product Demos

Qlik Sense ESRI Extension Demo

YouTube

Tableau VS Qlik Sense VS Power BI : (EP 1) - Performance: loading ~40 million records

YouTube

Integrate Maps in Qlik Sense: GeoQlik for Qlik Sense demo (English language)

YouTube

QLIK Sense OEM Integration.qlik.com - Concept behind the demo platform

YouTube

Demo Tableros de Control con QlikSense

YouTube

Crea una Aplicación con Qlik Sense desde Excel

YouTube
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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8.5
Avg 8.1

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

8.6
Avg 8.0

Report Output and Scheduling

Ability to schedule and manager report output.

8.8
Avg 8.3

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

8.7
Avg 7.9

Access Control and Security

Access control means being able to determine who has access to which data.

9
Avg 8.5

Mobile Capabilities

Support for mobile devices like smartphones and tablets.

7.5
Avg 7.8

Application Program Interfaces (APIs) / Embedding

APIs are a set of routines, protocols, and tools for used for embedding one application in another

8.6
Avg 7.8
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Product Details

What is Qlik Sense?

Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s Associative Engine, it supports a full range of users and use-cases across the life-cycle from data to insight – with self-service analytics, interactive dashboards, conversational analytics, custom and embedded analytics, mobile analytics, and reporting. The solution comes in three different editions - Qlik Sense Enterprise, Business, and Team. Qlik Sense can be deployed in the cloud or on-premises.

The Qlik Sense analytics platforms aims to empower everyone in organizations to make data-driven decisions. People of all skill levels get analytical power, with associative exploration and search, AI-powered insight suggestions, AI-accelerated creation and data prep, advanced analytics integration, and natural-language, conversational interaction. They can share and communicate the insights they discover and get answers anywhere they work – with interactive and secure online and offline mobility. And for the enterprise, users get a platform with open and standard APIs for customization and extension, data integration and connectivity, centralized management and governance, and a Kubernetes based SaaS / multi-cloud architecture driving scalability across combinations of on-premise, private, and public cloud environments.

Qlik Sense Features

BI Platform Features

  • Supported: Administration via Windows App
  • Supported: Administration via MacOS App
  • Supported: Administration via Web Interface
  • Supported: Live Connection to External Data
  • Supported: Snapshot of External Data
  • Supported: In-memory data model
  • Supported: OLAP (Pre-processed cube representation)
  • Supported: ROLAP (SQL-layer querying)
  • Supported: Multi-Data Source Reporting (Blending)
  • Supported: Data warehouse / dictionary layer
  • Supported: ETL Capability
  • Supported: ETL Scheduler

Supported Data Sources Features

  • Supported: MS Excel Workbooks
  • Supported: Text Files (CSV, etc)
  • Supported: Oracle
  • Supported: MS SQL Server
  • Supported: IBM DB2
  • Supported: Postgres
  • Supported: MySQL
  • Supported: ODBC
  • Supported: Cloudera Hadoop
  • Supported: Hortonworks Hadoop
  • Supported: EMC Greenplum
  • Supported: IBM Netezza
  • Supported: HP Vertica
  • Supported: ParAccel
  • Supported: SAP Hana
  • Supported: Teradata
  • Supported: Sage 500
  • Supported: Salesforce
  • Supported: SAP
  • Supported: Google Analytics

BI Standard Reporting Features

  • Supported: Pixel Perfect reports
  • Supported: Customizable dashboards
  • Supported: Report Formatting Templates

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Integration with R or other statistical packages
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Versioning
  • Supported: Report Delivery Scheduling
  • Supported: Delivery to Remote Servers

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Location Analytics / Geographic Visualization
  • Supported: Predictive Analytics
  • Supported: Support for Machine Learning models
  • Supported: Pattern Recognition and Data Mining

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Report-Level Access Control
  • Supported: Table-Level Access Control (BI-layer)
  • Supported: Field-Level Access Control (BI-layer)
  • Supported: Single Sign-On (SSO)

Mobile Capabilities Features

  • Supported: Responsive Design for Web Access
  • Supported: Mobile Application
  • Supported: Dashboard / Report / Visualization Interactivity on Mobile

Application Program Interfaces (APIs) / Embedding Features

  • Supported: REST API
  • Supported: Javascript API
  • Supported: iFrames
  • Supported: Java API
  • Supported: Themeable User Interface (UI)
  • Supported: Customizable Platform (Open Source)

Additional Features

  • Supported: In memory data indexing Associative Engine
  • Supported: Machine Learning with the Qlik Cognitive Engine
  • Supported: Augmented Intelligence and insight suggestions with Insight Advisor
  • Supported: Conversational Analytics with Qlik Insight Bot
  • Supported: Open APIs, in addition to Qlik Analytics Platform
  • Supported: Multi Cloud Architecture with docker containers deployed and orchestrated within Kubernetes
  • Supported: Data Catalog & Data Ops Management with Qlik Data Catalyst
  • Supported: Public and syndicated data as a service with Qlik Data Market
  • Supported: Qlik Associative Big Data Index delivers Qlik’s associative experience on top of Big Data
  • Supported: Flexible deployment options including Enterprise SaaS and combination of cloud and on-premise options
  • Supported: Enterprise reporting and distribution with Qlik NPrinting
  • Supported: Advanced geopolitical calculation and geotagging with Qlik Geo Analytics
  • Supported: Embedded analytic capabilities to build, extend and deploy custom solutions that are scalable and cloud-ready with Qlik Core

Qlik Sense Screenshots

Screenshot of Qlik Sense Cash Flow DashboardScreenshot of Qlik Sense Global Smart SearchScreenshot of Qlik Sense Smart Data Compression - Get immediate insight on large dataScreenshot of Extend, mix and mash-up with our APIsScreenshot of Add "External data" with Qlik DataMarket - Data as a ServiceScreenshot of Visualization BundleScreenshot of Help Desk case analysisScreenshot of Concentration analysisScreenshot of KPI DashboardScreenshot of Geographical Accident Analysis

Qlik Sense Videos

Qlik Sense Integrations

Qlik Sense Competitors

Qlik Sense Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac, Kubernetes
Mobile ApplicationApple iOS, Android, Windows Phone, Blackberry, Mobile Web
Supported CountriesAmericas, EMEA, LATAM, APAC
Supported LanguagesThe Qlik Management Console is English only.    The Qlik Sense client supports the following languages: English, German, Spanish, French, Italian, Japanese, Dutch, Brazilian Portuguese, Russian, Swedish, simplified Chinese, Polish, Turkish, Korean, and Traditional Chinese.   The language Qlik Sense uses depends on the language preferences of your browser. The default reading order in a Qlik Sense app is left to right. You can change the reading order to right-to-left in your app preferences if your data or labels are in a right-to-left language such as Arabic or Hebrew.

Qlik Sense Downloadables

Frequently Asked Questions

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

Qlik Sense starts at $20.

Microsoft Power BI and Spotfire are common alternatives for Qlik Sense.

Reviewers rate Multi-User Support (named login) highest, with a score of 9.2.

The most common users of Qlik Sense are from Enterprises (1,001+ employees).
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Comparisons

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Reviews From Top Reviewers

(1-5 of 65)

Qlik and Take Control

Rating: 10 out of 10
March 31, 2020
YM
Vetted Review
Verified User
Qlik Sense
1 year of experience
It used across the whole company in order to view, analyze and compare at the first stage of the implementation company monthly performance.
  • Analyze data
  • Compare data
  • Visualization of data
Cons
  • Profit and loss tools
  • Budgeting tools
  • Forecasting tools
Data analysis and visualization.

High-performance, rapid analytics for corporate teams

Rating: 9 out of 10
October 28, 2019
Vetted Review
Verified User
Qlik Sense
5 years of experience
We've used Qlik Sense Enterprise across a variety of departments within the organization as stand-alone installations rather than part of an enterprise program. These departmental implementations have typically been used to address business analytical needs such as market risk management, treasury operations, portfolio management, and inventory management.

It's been used as an analytical and reporting platform under full control of the business group/department to allow rapid development and iteration. The relatively small scale of the deployments (20-40 users each) has allowed this approach to work well and provide value. In addition to reporting use cases it has been useful for open-ended analysis.

  • Qlik/Associative Engine - The data processing engine almost always performed extremely well. Many apps were around 50 million records with many fields with some over 100 million. Having this amount of data available to a moderate number of users for parallel, interactive/real-time analysis was quite powerful. Especially, because it was running on relatively inexpensive hardware without any effort expended on tuning or optimization.
  • Built-In ETL - Having the option of connection to many data sources, and manipulating them with the load script proved to be extremely convenient and allowed quick development. There was a learning curve, and the script forced data processing to proceed in a particular way, but having the optionality was valuable. This allowed the development of end-to-end solutions without any back-end infrastructure and in many instances, none was ever needed.
  • Fully Web-Based Development and Administration - Being able to do all development and administration via a web interface was a nice feature as it avoided having to install a desktop client, upload files, etc. Combined with the hub and the ability to copy app and sheets made the whole experience very fluid. In a very large scale deployment access to this would have to be managed carefully, but in our instances we could leave it open.
Cons
  • Front-end control - In general Qlik Sense has provided less front-end/user interface control than the late versions of QlikView. Over time Qlik has increased the amount of control available to developers without having to resort to custom objects, but it has been a source of frustration. Every release does improve on this, but it still needs work.
  • Information Density - In our environment, non-retail financial services, the typical need is for high-density reports/displays on desktop. This is one of the reasons Excel is so popular; it allows users to build high-density reports for themselves. It seems as though Qlik Sense was initially designed with tablets in mind, which resulted in a lower density than ideal. This in the process of being remedied with additional front-end control.
  • Version Control - There was no easy way to version control data and application logic. This feature isn't something commonly available in this space, but would be very useful in running and controlling the platform. It's easy to generate many apps and data sets in the development and maintenance process and lose track.
In the departmental deployments where we had full control of the platform, and a moderate number of users interactively analyzing a large volume of data, Qlik Sense always worked extremely well. I personally didn't encounter any situations where it wasn't appropriate.

We did not use NPrinting, but I could see Qlik Sense perhaps not being the ideal solution if all that's needed are static reports. Many of its beneficial features wouldn't be used in that situation.

One aspect of Qlik Sense Enterprise that could make it more or less appropriate to any given situation is that it's a technically sophisticated product that really rewards a highly technical approach. It provides many deployment and usage options that may not be apparent to purchasing managers and pure end-users. You may not be in a situation to be able to fully take advantage of this.

BI has been made easy with Qlik

Rating: 10 out of 10
May 05, 2019
Vetted Review
Verified User
Qlik Sense
10 years of experience
We are using it internally to unify reporting standards across the company and to provide visuals for our own clients. It helps users from all department have a single version of the truth for numbers in the company.
  • Easy to use for all types of users.
  • Quick and fast solutions for users.
  • Very scalable.
  • Load scripting tool is great.
Cons
  • Would like to have a better way to access live data.
  • Pixel reporting should be built into the solution.
  • Mashups should export out of the box.
Does a great job for experience and inexperienced end users to access and interact with their data.

A surprisingly light, robust, flexible and scalable solution to all analytical and reporting needs

Rating: 9 out of 10
September 14, 2021
SM
Vetted Review
Verified User
Qlik Sense
4 years of experience
Qlik Sense is being used at our organization as a single self-service business intelligence and reporting solution across all our geographical locations worldwide. Users in each department are served with both standard and customized analytical solutions that are published to their individual streams. Ad-hoc reports are churned out using the NPrinting ad-on of Qlik Sense. Our business analytics and reporting team manage the entire multi-server enterprise Qlik Sense environment from a central location.

Most of our business problems were the availability of accurate data and speedy access to standard reports. Qlik Sense has helped achieve these goals.
  • Intuitive and easy to use dashboards.
  • Pixel perfect reports.
  • Scalable analytics.
  • Centralized management of user access.
Cons
  • Advanced analytical features require third party extensions.
  • Building own extensions is not easy.
  • Multi-developer environment is not well supported.
  • Version control is missing.
Qlik Sense offers an end-to-end solution that scales well. I would advise any organization whether small or large to give it a try. The delivery of output is browser-based and so is the development. This makes its platform independent as far as users are concerned, and the result is a seamless and scalable solution. Also advantageous is the ability to develop, control, and maintain from the stage of data ingestion up to the front end. To those companies where one is expected to build their own dashboards on the go, Qlik Sense can have a steep learning curve.

Making sense of data with Qlik

Rating: 8 out of 10
November 08, 2021
Vetted Review
Verified User
Qlik Sense
2 years of experience
Very robust and user friendly. Strong tools for data analysis. Helpful in data democratization with tools like data catelog. Will is able to handle large amount of data with out any processing lag. Even complex data models with require heavy calculations are handled quickly by Qlik. The learning curve for new users is not steap.
  • Large data processing.
  • Easily build data models.
  • Excellent visualization tools.
  • User friendly.
Cons
  • Better AI assistant.
  • Version control.
When you need to process and visualize large amount of data from multiple data sources, Qlik is the best in business. User friendly and easy to integrate, this helps when your team may not the the most technically sophisticated. Qlik helps the orgay to become more data driven which helps effective decision making.
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