QlikView review

QlikView is Qlik’s business-intelligence product for building dashboards and exploring business data. But Qlik’s current homepage describes the broader Qlik portfolio—not QlikView specifically—so its feature list is a poor guide to what a QlikView license includes today. The site promotes dashboards, data exploration, automated reports, app connections and data delivery, alongside data tools for preparing information for AI. It also highlights Qlik Answers, which lets users ask questions about data; the page does not establish that this feature is part of QlikView.

The practical case for QlikView is more specific: Reddit users describe using its load script to transform and clean data, and one commenter says it can handle complex dashboards and ETL. Those are user accounts, not a current product specification. If you are evaluating a switch, confirm the exact QlikView capabilities and support you would receive with Qlik sales rather than assuming Qlik’s cloud-product descriptions apply.

QlikView’s clearest reported advantage is flexibility in data preparation. A commenter on r/BusinessIntelligence says its scripting can support data modeling and transformation during loading, potentially avoiding a separate ETL tool. Another commenter says Qlik can import data from many sources and describes QVD as more efficient than CSV. These are user reports, not guarantees for every setup.

Users on r/PowerBI also describe building complex dashboards with expressions, changing visualizations and controlling access, as well as using Qlik for an entire ETL process. That suggests a fit for organizations that need more than straightforward charts and already have the skills or consulting support to maintain a Qlik environment.

• Dashboard creation and data visualization are central to Qlik’s broader product offering.
• Qlik’s current site also promotes automated reports, app connections and data delivery, but does not clearly tie those features to QlikView.
• A commenter comparing Qlik with Tableau values the ability to script data preparation rather than rely only on external tools.

For an existing Qlik shop, the ability to keep established data models and workflows may matter more than switching to a tool with a more transparent price. Check adoption and license use before renewing or expanding; a Reddit discussion specifically warns that purchased licenses do not prove users have adopted the product.

The main drawback is price opacity. QlikView pricing is custom and not published, and the published pricing information does not list a free plan or trial. That makes it hard to compare the cost of staying with QlikView against moving to another BI tool without requesting a quote.

Qlik Cloud Analytics prices are not QlikView prices, but they offer a limited reference point: Starter is listed at $300 per month billed annually, with 10 users, 10 GB of data for analysis, a 5 GB maximum app size and 250 reports per month. Standard is $825 per month billed annually, with 25 GB and 1,000 reports per month; its maximum app size is not published. Premium is $2,750 per month billed annually, with 50 GB, a 10 GB maximum app size and 5,000 reports per month. Monthly billing prices are not published.

Those cloud caps and prices should not be treated as QlikView terms. QlikView itself requires a sales quote, and add-on and overage costs for the cloud plans are also not published. Reddit users describe Qlik as expensive, including consulting, but that is anecdotal rather than a price comparison.

QlikView pricing is custom: the published pricing information does not list a starting price, and buyers need to contact sales. Don’t mistake Qlik Cloud Analytics rates for QlikView rates. The cloud plans list annual-billing monthly equivalents of $300 for Starter, $825 for Standard, and $2,750 for Premium. That’s a $525 jump from Starter to Standard, then $1,925 from Standard to Premium. Enterprise pricing is also custom.

The listed cloud limits differ by tier: Starter includes 10 users, 10 GB for analysis, a 5 GB maximum app size, and 250 reports monthly. Standard includes 25 GB and 1,000 reports; Premium includes 50 GB, a 10 GB app-size cap, and 5,000 reports. Standard’s maximum app size is not published.

Billing is another caveat: monthly prices are not published, and the listed equivalents are billed annually. Add-on prices and overage costs are also unpublished. Starter has no additional data capacity available; extra reports require contacting sales. These figures are for Qlik Cloud Analytics, not QlikView.

Plan a switch around the assets your team depends on: data scripts, dashboards, data connections, and automated reports. The published product information names these capabilities but does not document a QlikView migration path, export formats, or how much work it takes to move them. Treat effort estimates and data portability as questions for Qlik sales, not assumptions.

The available materials also do not establish that QlikView locks data in, or explain how to export it. Before signing or leaving, ask for a sample export, the formats available, and what happens to scripts and report schedules when a subscription ends. Confirm separately whether cloud features and pricing apply to your QlikView deployment; Qlik’s current site information describes a broader portfolio and does not detail QlikView itself.

We were not given Reddit posts or comments to substantiate why users leave, so we can’t attribute churn reasons to Reddit. The clearest buyer risk in the published information is uncertainty: custom QlikView pricing and sparse product-specific migration details.