Qlik Sense

Qlik Sense Reviews

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Score 9 out of 10
Vetted Review
Verified User
Review Source
Offering the ability to take analytics to the next level is another positive impact Qlik Sense has had here. Every developer is free to build extensions and use tools such as Python in building extensive machine learning and AI based solutions.
Nuno Orestes Vaz da Silva | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
It is possible to connect Qlik Sense either in the script or at front end level to ML engines like R. This allows moving from descriptive analysis to more advanced AA, moving to predictive and later prescriptive analytics. Main challenge here is to make business follow the technology and finding use cases in a field that evolves more quickly than most business areas.
Score 10 out of 10
Vetted Review
Verified User
Review Source
For dashboard creation, it depends on the quality of your data and number of your measures and dimensions. For example, if you have lots of measures and lots of dimensions, the Insight offered by Qlik Sense will pick those data randomly. Sometimes it causes the result of automatic dashboard generation, which is useless for you. If you have only one measure and a few dimensions, then yes, it can be pretty useful.
Score 8 out of 10
Vetted Review
Verified User
Review Source
The fact that Qlik Sense allows the access and the preparation of huge databases open our mind in term of what we can do with data. It is so easy to link information and visualize it that questions come naturally and push us to ask for more and more information. The way this system is designed is easy to understand and really helps thinking differently about how to use data.
Score 9 out of 10
Vetted Review
Verified User
Review Source
While my team tends to push for pristine data models built through Load Script, other departments have leveraged the cognitive learning that Qlik Sense offers to build the best dashboards possible. We benefit from the speed this offers in development, but we still have the option to apply detailed governance on top of the end product.
Score 10 out of 10
Vetted Review
Verified User
Review Source
To be honest we are a relatively basic organization when it comes to our analytics needs (or at least that is the current state of the play) but having these more advanced features in the product provides our organization that once our maturity gets there then the product will be able to keep up with our needs (as well providing us confidence that our selected product is able to be compared to other players in the same software domain).
Score 9 out of 10
Vetted Review
Verified User
Review Source
This is not something we use in our current version of Qlik. I have seen it demonstrated when attending a Qlik learning webinar. The natural language feature looks to be a nice tool to have. I will make it easier for end-users to discover new insights.

Qlik Sense Scorecard Summary

Feature Scorecard Summary

BI Standard Reporting (3)
78%
7.8
Pixel Perfect reports (183)
78%
7.8
Customizable dashboards (269)
81%
8.1
Report Formatting Templates (192)
73%
7.3
Ad-hoc Reporting (4)
79%
7.9
Drill-down analysis (273)
87%
8.7
Formatting capabilities (265)
75%
7.5
Integration with R or other statistical packages (129)
75%
7.5
Report sharing and collaboration (251)
78%
7.8
Report Output and Scheduling (5)
77%
7.7
Publish to Web (178)
87%
8.7
Publish to PDF (217)
75%
7.5
Report Versioning (146)
65%
6.5
Report Delivery Scheduling (150)
72%
7.2
Delivery to Remote Servers (83)
86%
8.6
Data Discovery and Visualization (3)
76%
7.6
Pre-built visualization formats (heatmaps, scatter plots etc.) (260)
82%
8.2
Location Analytics / Geographic Visualization (240)
77%
7.7
Predictive Analytics (163)
70%
7.0
Access Control and Security (4)
85%
8.5
Multi-User Support (named login) (230)
84%
8.4
Role-Based Security Model (227)
84%
8.4
Multiple Access Permission Levels (Create, Read, Delete) (230)
83%
8.3
Single Sign-On (SSO) (178)
88%
8.8
Mobile Capabilities (4)
81%
8.1
Responsive Design for Web Access (182)
81%
8.1
Dedicated iOS Application (107)
80%
8.0
Dedicated Android Application (89)
79%
7.9
Dashboard / Report / Visualization Interactivity on Mobile (153)
83%
8.3
Application Program Interfaces (APIs) / Embedding (6)
72%
7.2
REST API (97)
88%
8.8
Javascript API (74)
73%
7.3
iFrames (72)
66%
6.6
Java API (53)
73%
7.3
Themeable User Interface (UI) (76)
79%
7.9
Customizable Platform (Open Source) (67)
54%
5.4

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: Dedicated iOS Application
  • Supported: Dedicated Android 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

Qlik Sense Cash Flow DashboardQlik Sense Global Smart SearchQlik Sense Smart Data Compression - Get immediate insight on large dataExtend, mix and mash-up with our APIsAdd "External data" with Qlik DataMarket - Data as a ServiceVisualization BundleHelp Desk case analysisConcentration analysisKPI DashboardGeographical Accident Analysis

Qlik Sense Videos

Qlik Sense Downloadables

Qlik Sense Integrations

Qlik Sense Competitors

Qlik Sense Pricing

Starting Price: $30

More Pricing Information

More pricing information from Qlik Sense

On-premise Editions Pricing
Pricing DetailsTerms
Qlik Sense Business$30.00Per User/Per Month
Qlik Sense Enterprise SaaSContact sales

Qlik Sense Technical Details

Deployment TypesOn-premise, SaaS
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.

Frequently Asked Questions

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.

How much does Qlik Sense cost?

Qlik Sense starts at $30.

What is Qlik Sense's best feature?

Reviewers rate Single Sign-On (SSO) and REST API highest, with a score of 8.8.

Who uses Qlik Sense?

The most common users of Qlik Sense are from Enterprises and the Information Technology & Services industry.