Qlik

Qlik
Name	Qlik
Developer	QlikTech International AB
Released	1993
Latest release	(varies)
Programming language	C++, JavaScript, Python
Operating system	Microsoft Windows, Linux, cloud platforms
Genre	Business intelligence, data visualization, analytics
License	Proprietary, commercial

Qlik is a commercial business intelligence and data visualization platform originating from Sweden that provides associative indexing, in-memory processing, and self-service analytics for enterprise users. Founded in the 1990s, the platform competes with vendors in the analytics ecosystem and is used by organizations across finance, healthcare, manufacturing, retail, and government sectors. Qlik products integrate with databases, data lakes, and cloud services to enable interactive dashboards, ad hoc queries, and embedded analytics.

Overview

Qlik was created to address limitations in traditional query-based tools used by organizations such as Ernst & Young, Accenture, Deloitte, KPMG, PwC and to provide an associative experience similar to innovations from companies like Microsoft and Tableau Software. The platform historically emphasized an in-memory associative engine enabling rapid exploration across datasets sourced from Oracle Corporation, IBM, SAP SE, Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Qlik’s product family includes offerings for desktop analysts, enterprise deployment, embedded analytics, and cloud-native services used by customers including General Electric, Siemens, Coca-Cola, Walmart, HSBC and Pfizer.

History

Qlik began as a startup in Sweden and was commercially launched in the 1990s amid rising demand for decision-support systems similar to those produced by SAP SE, IBM Cognos, and SAS Institute. In the 2000s Qlik expanded globally with offices across United States, United Kingdom, Germany, and Japan, competing directly with Microsoft Power BI, Tableau Software, MicroStrategy, and TIBCO Software. The company pursued acquisitions and partnerships, interacting with firms such as Attunity, Podium Data, and cloud providers like Amazon Web Services and Google LLC. Over its corporate lifetime Qlik has undergone leadership changes and strategic refocusing to address markets influenced by trends from Snowflake Inc., Databricks, and Cloudera.

Products and Technology

Qlik’s product suite includes tools comparable to Microsoft Excel, Power BI, Tableau Desktop, and Looker. Core offerings encompass a desktop authoring environment, an enterprise server, cloud-native analytics, and embedded SDKs that integrate with platforms such as Salesforce, ServiceNow, and Workday. The platform uses an associative indexing approach similar in purpose to columnar engines developed by Vertica and vectorized processing techniques found in ClickHouse and Apache Arrow. Qlik supports connectors to relational systems like MySQL, PostgreSQL, and SQL Server, big data stores such as Hadoop Distributed File System, and data warehouse services from Snowflake and Google BigQuery.

Architecture and Components

Qlik architectures vary across on-premises and cloud deployments and include components analogous to those in Apache Kafka, Kubernetes, and Docker-based systems for orchestration. Typical components include an in-memory associative engine, a data load and transformation layer, a visualization layer, and management services for authentication and governance comparable to Okta, Active Directory, and Azure Active Directory. Enterprise deployments often integrate with identity providers like Ping Identity and single sign-on services from Auth0. Scalability and high availability patterns mirror practices used by Amazon EC2, Google Kubernetes Engine, and Microsoft Azure Virtual Machines.

Use Cases and Industries

Industries deploying the platform include financial services (banks such as JPMorgan Chase, Bank of America), healthcare organizations analogous to Mayo Clinic and Cleveland Clinic, manufacturers like Toyota and Ford Motor Company, and retailers resembling Target Corporation and Walgreens Boots Alliance. Use cases span sales performance management similar to Salesforce CRM analytics, supply chain visibility akin to systems used by UPS and DHL, regulatory reporting in line with standards applied by SEC and FCA, fraud detection comparable to systems used by Visa and Mastercard, and operational dashboards used by NASA-like mission control centers.

Licensing and Deployment

Qlik is offered under commercial licensing models comparable to enterprise agreements negotiated with firms such as IBM and Oracle Corporation. Deployment options include on-premises installations on servers supplied by vendors like Dell Technologies and Hewlett Packard Enterprise, cloud-hosted services using Amazon Web Services, Microsoft Azure, and Google Cloud Platform, and hybrid architectures like those promoted by VMware. Pricing and capacity planning approaches are similar to models used by enterprise software vendors including SAP SE and Oracle Corporation.

Criticism and Security Issues

Criticism of the platform has paralleled critiques directed at analytics vendors such as Tableau Software and Microsoft around licensing complexity, total cost of ownership, and user adoption challenges seen in organizations like Gartner clients. Security concerns involve misconfiguration risks similar to incidents affecting Amazon S3 and vulnerabilities found in web-facing BI portals comparable to issues reported in WordPress plugins or Jenkins instances. Governance and data provenance debates echo those involving Snowflake and Databricks implementations. Mitigations typically reference best practices from ISO/IEC 27001 and standards advocated by NIST.

Category:Business intelligence software