Qlik Pricing: Qlik Sense, Cloud Analytics, and Replicate Costs Compared

Qlik is not one product with one price. Ask “what does Qlik cost” and you will get three different answers depending on whether you mean Qlik Sense (the on-premises platform), Qlik Cloud Analytics (the SaaS analytics offering Qlik now leads with), or Qlik Replicate (a separate data-movement/CDC product with its own licensing entirely). Buyers routinely conflate these and end up comparing a quote for one against a public price for another. This guide separates them, prices each as of August 2026, and — since Qlik Cloud’s top tier now ships a genuine no-code predictive-modeling feature, Qlik AutoML — looks honestly at where a finished-predictions tool like Pecan AI fits instead of building your own models inside Qlik.

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Qlik Sense pricing

Qlik Sense is Qlik’s on-premises, client-managed platform — the deployment Qlik itself positions for “highly regulated industries and customers that prefer a client-managed offering.” As of August 2026, Qlik does not publish a price for Qlik Sense on its site at all: the pricing page directs Qlik Sense buyers to “contact us” rather than listing a per-user or per-server figure. That is standard for on-premises enterprise software licensed by seat count, server core, or negotiated enterprise agreement, but it means anyone budgeting for Qlik Sense specifically should expect a sales-quote process, not a published number — and should budget separately for the infrastructure and admin overhead of running it themselves, which a SaaS deployment removes.

Qlik Cloud pricing (Qlik Cloud Analytics pricing)

“Qlik Cloud pricing” and “Qlik Cloud Analytics pricing” are the same question — Qlik Cloud Analytics is the current name for Qlik’s SaaS analytics tier, and it is the only Qlik product line with a public price list as of August 2026. Four tiers, verified from Qlik’s own pricing page:

Pricing verified from Qlik’s own pricing page, August 2026. Qlik prices Cloud Analytics by data capacity rather than by seat, which is the main reason the Standard tier’s “unlimited users” line matters more than it looks at first glance — the constraint you actually pay to relax is GB, not headcount.

Qlik Replicate pricing

Qlik Replicate is a change-data-capture and data-movement product — a different job from Qlik Sense or Qlik Cloud Analytics, and priced separately from both. As of August 2026, Qlik does not publish Replicate pricing anywhere on its product page: no per-endpoint figure, no subscription tier, no perpetual-license number, just “Try for Free” and “Get a Demo” calls to action. If your candidate list of tools includes Replicate because you’re moving data into a warehouse for downstream analytics, treat it as its own quote-based line item — don’t assume its cost tracks Qlik Cloud Analytics’ published tiers, because nothing on Qlik’s own site suggests it does.

Qlik AutoML vs. Pecan AI: the honest build-vs-buy comparison

This is the one place in a Qlik pricing guide where the comparison to a rival tool is genuinely close, so it’s worth being straightforward about that instead of overselling it. Qlik AutoML, bundled into the $2,750/mo Premium tier of Qlik Cloud Analytics, is a real no-code predictive-modeling feature — it lets a Qlik Cloud user build, train, and score machine-learning models against data already sitting in their Qlik tenant, without exporting it to a separate data-science tool. If your team already has (or is willing to pay for) Premium, and is comfortable owning the actual modeling workflow — picking a target, choosing features, evaluating model performance, retraining as data drifts — Qlik AutoML genuinely covers that ground inside the platform you’re already paying for.

Pecan AI is built for a narrower and different problem: teams that want the finished prediction — a churn score, a demand forecast, a next-best-action flag — delivered into their existing warehouse or BI layer, without a person on the team running the model-building workflow themselves. Pecan’s “Predictive GenAI” approach automates the feature engineering and model selection steps that Qlik AutoML still leaves to the user. The real reason to look at Pecan instead of Qlik AutoML isn’t that Qlik’s feature doesn’t work — it does — it’s whether your team wants to own that workflow at all, or would rather receive predictions as an output and skip the modeling step entirely.

See how Pecan AI’s pricing compares →

Who should not switch to Pecan AI

Be honest about the cases where Qlik AutoML is the better fit, not Pecan:

• You’re already committed to Qlik Cloud Premium. If you’re paying $2,750/mo for Premium anyway, AutoML is functionally a sunk-cost feature — adding a second predictive-modeling tool on top is redundant spend unless Qlik AutoML has specifically failed to do what you need.
• Your team wants to own the modeling workflow, not skip it. Some analytics teams specifically want the control of choosing features and tuning models themselves, inside the same tool where the dashboards live. That’s what Qlik AutoML is for, and Pecan doesn’t compete well against that preference.
• Your predictive use case is small and occasional. A one-off model built a few times a year doesn’t justify standing up a second platform’s onboarding and integration work — do it inside Qlik AutoML if you already have Premium access.

What does Qlik pricing actually add up to?

Pulling the three products together as of August 2026: Qlik Sense (on-premises) and Qlik Replicate (data movement) are both quote-only — budget for a sales conversation, not a published number. Qlik Cloud Analytics is the one line with real public pricing, running from $300/mo (Starter, 10 users/10 GB) to $2,750/mo (Premium, which is also the tier that unlocks Qlik AutoML) to a custom Enterprise quote past 250 GB. If your buying question is specifically “what does it cost to get Qlik’s built-in predictive modeling,” the honest answer is “Premium tier or above, $2,750/mo minimum, plus the AutoML feature is bundled in rather than separately priced” — there is no cheaper Qlik path to that capability.

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FAQ

Is Qlik Sense free?

No. Qlik Sense (the on-premises product) has no published free tier as of August 2026 — Qlik’s pricing page routes Qlik Sense inquiries to “contact us” rather than listing a number, which is typical for enterprise on-premises licensing.

What’s the difference between Qlik Sense pricing and Qlik Cloud pricing?

Qlik Sense is the client-managed, on-premises deployment with quote-only pricing. Qlik Cloud (Qlik Cloud Analytics) is the SaaS deployment with public tiers starting at $300/mo. They are the same underlying analytics capability sold under two different deployment/pricing models, not two unrelated products.

Does Qlik Cloud pricing include AutoML?

Only from the Premium tier ($2,750/mo, billed annually, as of August 2026) upward. Starter and Standard do not include it.

How much does Qlik Replicate cost?

Qlik does not publish a price for Replicate. It’s licensed separately from Qlik Sense and Qlik Cloud Analytics — expect a quote-based sales process rather than a self-serve price list.

Is Pecan AI cheaper than Qlik AutoML?

They’re not really the same purchase to compare on price alone: Qlik AutoML is a feature bundled into a $2,750/mo+ Qlik Cloud Premium subscription you may already be paying for other reasons, while Pecan AI is a standalone predictive-analytics platform priced on its own. The better comparison is workflow, not just cost — whether your team wants to build models itself (Qlik AutoML) or receive finished predictions without running that workflow (Pecan AI).

Get Pecan AI pricing →