Qlik
Qlik is a enterprise data integration and cloud analytics software with embedded AI.
Qlik operates in the Unclassified segment.
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- Founded
- 1993
- Headquarters
- 150 N. Radnor Chester Road, Suite E220, Radnor, Pennsylvania 19087
- Core Segment
- Unclassified
- Company Size
- Unknown
- Official Links
- Website
- Verified
- 2026-03-12
Key insights about Qlik
Subsidiaries
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Competitors
Key competitors include Domo, Tableau, Plotly.
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Acquisitions
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Qlik: About
The company operates an enterprise software model centred on cloud subscriptions for data integration and analytics. It provides a unified cloud platform that ingests and replicates data from heterogeneous sources, automates the creation of analytics‑ready data structures in lakes and warehouses, and delivers interactive analytics and AI‑driven insight to business users. Additional products include change‑data‑capture replication, data fabric capabilities and generative AI question‑answering over enterprise content.
Value is created by reducing the effort and complexity required to consolidate operational data into governed analytical environments and by enabling self‑service and governed analytics on top of that data. The firm also grows through acquisitions of complementary integration and automation technologies to broaden coverage of data sources, pipelines and SaaS application workflows.
Qlik: Market Position
QlikTech International AB is an enterprise software company focused on data integration, business intelligence and analytics delivered primarily via a cloud platform. Its portfolio spans data replication and integration, automated data lake and warehouse pipeline tooling, and cloud-hosted analytics with embedded AI and generative question‑answering over structured and unstructured data.
The company sells subscriptions and capacity licences for its cloud analytics and data integration services, supplemented by add‑on modules for AI and automation. Customers are businesses and public sector organisations that need to move, transform and analyse data across databases, data lakes, warehouses and SaaS applications, typically via central data, BI and analytics teams rather than individual consumers.
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