Pricing score

7.2

Qlik AutoML Pricing Profile

Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics
directly to your organization’s larger community of analytics users and teams, in a simple user experience focused
on augmenting their intuition through machine intelligence. With AutoML, you can easily generate machine
learning models, make predictions, and plan decisions – all within an intuitive, code-free user interface.

HQ Location

Radnor, Pennsylvania, USA

Category:

AI

Key Takeaways

Automated Feature Engineering

Qlik AutoML automatically identifies the most relevant features in your data, processes them, and transforms them into the most effective format for model building. This step significantly reduces the time spent on manual data preparation.

Model Selection and Training

The platform supports multiple algorithms for classification, regression, and time-series forecasting. It automatically selects the most appropriate algorithm for the task at hand based on the dataset's characteristics and trains the model for you.

End-to-End Automation

Qlik AutoML automates everything from data cleansing, outlier detection, and missing value handling, to training and model deployment. This complete automation saves time and allows business users to focus on generating insights rather than managing technical workflows.

Product Overview

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Qlik AutoML is an automated machine learning (AutoML) platform that empowers users to build, train, and deploy machine learning models without requiring deep expertise in data science or machine learning. Part of the Qlik Data Integration suite, Qlik AutoML helps organizations accelerate data-driven decision-making by enabling the creation of predictive models directly from their data, using a fully automated process.

With Qlik AutoML, users can quickly generate models for tasks like regression, classification, and forecasting—all while handling data preparation, feature engineering, and model tuning automatically.

INSIGHTS

Our insights about Qlik AutoML pricing

01

Free trial

02

Custom options

03

Pricing is based on the amount of data loaded and saved into Qlik Cloud Analytics

Available Pricing Models

How much does Qlik AutoML cost?

Qlik AutoML offers 3 pricing plans for Cloud Analytics. You can deliver better insights and outcomes with the right analytics plan.

Standard

  • Bring industry leading analytics to small teams and groups with baseline capabilities.
  • $825/mo is a starting price at 25 GB and 20 Full Users.

Premium

  • Operationalize analytics across your organization with premium capabilities.
  • $2,500/mo is a starting price at 50 GB and 20 Full Users.

Enterprise

  • Get maximum flexibility and scale for your organization with enterprise capabilities.
  • Custom pricing.

What users say about Qlik AutoML pricing

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Rashmi S.

Best thing I like about Qlik AtoMl you you don't allow me to involve so much into the mathematics and states. It is simple to use. It supports multiple algorithms because of this I can dealt with any kind of data. Also I read that It supports Artificial algorithm in the backend which is quite amazing. Majorly I used it for the customer data. With one click it generates a report and saves me a lot of time.

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Rajat P.

What I like about the product is the Datalake automation and integration of real time streaming capabilities from different platforms with a no code approach.

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Vaishnavi L.

Dislike about Qlik AutoML is the transformation of data is slow and visualization capabilities could be better. It is also costly AMC high memory usage.

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Nikhilesh S.

Lack of Customization: Because Qlik AutoML attempts to provide an automated and user-friendly experience, some sophisticated users may find the lack of customization choices and fine-grained control over the model-building process to be constrictive. This could be a disadvantage if you'd want to have greater influence over the method selection, hyperparameter tuning, or feature engineering.

avatar

Vineeth

Accurate analysis, easy to use frequently and great predictive models.

avatar

Rashmi S.

Best thing I like about Qlik AtoMl you you don't allow me to involve so much into the mathematics and states. It is simple to use. It supports multiple algorithms because of this I can dealt with any kind of data. Also I read that It supports Artificial algorithm in the backend which is quite amazing. Majorly I used it for the customer data. With one click it generates a report and saves me a lot of time.

avatar

Nikhilesh S.

Lack of Customization: Because Qlik AutoML attempts to provide an automated and user-friendly experience, some sophisticated users may find the lack of customization choices and fine-grained control over the model-building process to be constrictive. This could be a disadvantage if you'd want to have greater influence over the method selection, hyperparameter tuning, or feature engineering.

avatar

Rajat P.

What I like about the product is the Datalake automation and integration of real time streaming capabilities from different platforms with a no code approach.

avatar

Vineeth

Accurate analysis, easy to use frequently and great predictive models.

avatar

Vaishnavi L.

Dislike about Qlik AutoML is the transformation of data is slow and visualization capabilities could be better. It is also costly AMC high memory usage.

Qlik AutoML Pricing Rating

Operational Efficiency: 4.8/5

Qlik AutoML can optimize business operations by predicting potential bottlenecks, maintenance issues, or process inefficiencies, helping organizations streamline their workflows and reduce costs.

Seamless Data Integration: 4.7/5

Because Qlik AutoML integrates tightly with Qlik’s data platform, it can take full advantage of the data pipelines, visualizations, and analytics already set up in Qlik’s environment. This integration reduces the friction between data preparation, analysis, and model building.

Scalability: 4.9/5

Qlik AutoML can be customized to fit the unique needs of a business and scaled up as required. Whether for smaller pilot projects or large enterprise-wide deployments, the platform scales efficiently to accommodate growing demands.

FAQ on Qlik AutoML Pricing

What is capacity-based vs. consumption-based pricing?

Qlik's plans are capacity-based (think: cell phone plan), offering a fixed fee based on an agreed capacity limit. This provides a predictable cost for the year. Consumption-based pricing (think: utility bill) is a variable cost, based on actual usage over the year which can lead to unexpected or unplanned costs. With capacity-based pricing, Qlik customers know their costs ahead of time.

How do I calculate my annual “Data for Analysis?”

Estimate the size of the data sets you plan to analyze across one year. Pricing is based on the amount of data loaded and saved into Qlik Cloud Analytics. This doesn’t include any data deleted from your account, and you do not get charged for reloading data within the same app or dashboard. Data is counted when it is ingested from a database, uploaded as a file, or saved as an output from a Qlik app (qvd, txt, csv, etc).

What if I go over my Data for Analysis capacity plan?

You will maintain full access to your plan. You will be alerted when approaching your capacity limit and can upgrade to a higher capacity or plan as needed. You will only receive additional charges if you go above the capacity of your plan.

Will my data be secure?

Yes. Qlik incorporates leading security technologies and modern open standards to provide you with confidence that your data and analyses are secure. Additionally, Qlik Cloud Services and its operating infrastructure provide security using a number of methods.