Qlik Cloud Analytics
Qlik Cloud Analytics is a cloud-based analytics and business intelligence platform that provides interactive data visualizations, dashboards, and an associative data model for free-form exploration.
Publisher review
Qlik Cloud Analytics is a cloud-based analytics and business intelligence platform that provides interactive data visualizations, dashboards, and an associative data model for free-form exploration. Founded in 1993 and headquartered in King of Prussia, United States, it is designed for organizations of all sizes, from small teams to large enterprises, needing to connect, combine, and analyze data from hundreds of sources without creating new data stores. The platform supports data consumers and authors alike, with AI-powered analytics, automated report generation, and collaboration features, making it suitable for data-driven decision-making across departments.
The core of Qlik Cloud Analytics is its associative data engine, which allows users to explore data relationships dynamically, uncovering insights that query-based tools might miss. It offers four subscription tiers: Starter ($300/month, 10 GB data, 10 users minimum), Standard ($825/month, starts at 25 GB, additional capacity in 25 GB increments), Premium ($2,750/month, starts at 50 GB), and Enterprise (custom quote, starts at 250 GB). Key capabilities include connecting to hundreds of data sources, a no-code automation builder for triggering actions across systems, data lineage connectors (Premium+), and support for unstructured data and GenAI in Standard and above. The Starter tier has a 5 GB max app size, while Enterprise supports up to 40 GB per app. The platform also includes predictive analytics powered by automated machine learning in Premium, and multi-region tenants in Enterprise.
In the analytics market, Qlik Cloud Analytics competes with tools like Splunk Cloud Platform, Power BI, Tableau, and Looker. Its associative model differentiates it from query-based alternatives, enabling broader data exploration without predefined paths. Qlik has recently added significant machine learning capabilities for advanced planning and forecasting, positioning it strongly against Power BI, which requires additional Microsoft stack products for scaling. However, Qlik's pricing can be higher than some competitors, and its unique interface may require a learning curve for users accustomed to traditional BI tools.
Honest trade-offs include the Starter tier's limited 10 GB data capacity with no option to purchase more, and a 5 GB max app size that may constrain large datasets. Standard and above require additional purchases for increased data capacity (e.g., 25 GB packs), and the Starter tier provides only Qlik Community Support, not 24x7 support. While the platform integrates with hundreds of data sources, advanced features like data lineage and larger app sizes are locked behind Premium and Enterprise tiers, potentially increasing costs for growing teams. The minimum user count (10 for Starter, unspecified but required for others) may not suit very small teams.
How it works
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Associative data model
Enables free-form data exploration without query limitations, allowing users to uncover hidden relationships across datasets.
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AI-powered analytics
Includes augmented analytics, natural language queries, and predictive analytics via automated machine learning in Premium tier.
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Automated report generation
Automates report creation and delivery with a no-code builder that triggers dynamic actions across systems.
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Data lineage connectors
Provides visibility into data origins and transformations, available in Premium and Enterprise tiers for governance.
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Interactive dashboards
Supports interactive visualizations and dashboards for real-time data exploration and collaboration across teams.
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Hundreds of data sources
Connects to hundreds of data sources without creating new data stores, including cloud, on-premises, and SaaS systems.
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Scalable data capacity
Offers data capacity from 10 GB (Starter) to 250 GB (Enterprise), with additional packs available in Standard and Premium.
Strengths and trade-offs
Strengths
- Associative data engine allows users to explore data freely, uncovering insights missed by query-based tools like Power BI.
- AI-powered analytics include automated machine learning for predictive modeling in the Premium tier, enhancing forecasting capabilities.
- Integrates with hundreds of data sources without requiring new data stores, reducing data duplication and complexity.
- Scalable pricing with four tiers, from $300/month for 10 users to custom Enterprise plans, offering cost predictability.
Trade-offs
- Starter tier has a fixed 10 GB data capacity with no option to purchase additional capacity, limiting growth for small teams.
- Max app size is 5 GB in Starter, 10 GB in Premium, and up to 40 GB in Enterprise, which may constrain large datasets without extra cost.
- Advanced features like data lineage connectors and larger app sizes are locked behind Premium and Enterprise tiers, increasing costs.
- Starter tier only includes Qlik Community Support, not 24x7 support, which may be insufficient for mission-critical deployments.
Pricing context
Starter: $300/month (10 GB data, 10 users min). Standard: $825/month (25 GB data, additional 25 GB packs). Premium: $2,750/month (50 GB data, 25 GB or 250 GB packs). Enterprise: custom quote (250 GB data).
Getting started with Qlik Cloud Analytics
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Sign up for a tier
Visit the Qlik Cloud Analytics website and choose a subscription tier that fits your needs. Click the sign-up button, provide your email and company details, and complete the payment process to activate your tenant.
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Connect your data sources
Log into your Qlik Cloud tenant and navigate to the Data Integration section. Click Add Data Source, select from hundreds of connectors (e.g., cloud, on-premises, SaaS), and enter credentials to establish a live connection.
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Load and model data
After connecting a source, use the data load editor to select tables and fields. Apply transformations like joins, filters, or aggregations to shape the data for analysis, then load it into the associative engine.
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Build an interactive dashboard
Create a new app and drag fields onto the canvas to build visualizations. Use the associative model to click on data points and explore relationships dynamically, adding filters and charts to answer your business questions.
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Share and schedule reports
Publish your dashboard to a shared space and set up automated report delivery using the no-code automation builder. Configure triggers to send snapshots via email or Slack on a recurring schedule to your team.
Frequently Asked Questions
What is Qlik Cloud Analytics and how does it work?
Qlik Cloud Analytics is a cloud-based business intelligence platform that uses an associative data model for free-form data exploration. It connects hundreds of data sources without creating new stores, enabling interactive dashboards and AI-powered insights for organizations of all sizes.
What are the pricing tiers for Qlik Cloud Analytics?
Qlik Cloud Analytics offers four tiers: Starter at $300/month for 10 GB data and 10 users, Standard at $825/month for 25 GB, Premium at $2,750/month for 50 GB, and Enterprise with custom pricing starting at 250 GB. Additional capacity packs are available.
How does Qlik Cloud Analytics associative data model differ from query-based tools?
The associative data model lets users explore data relationships dynamically without predefined query paths. This uncovers hidden insights that query-based tools like Power BI might miss, offering broader exploration and real-time discovery across connected datasets.
What AI capabilities does Qlik Cloud Analytics include?
Qlik Cloud Analytics includes AI-powered analytics with natural language queries and automated report generation. The Premium tier adds predictive analytics via automated machine learning for advanced forecasting, while Standard and above support GenAI features.
What are the data capacity limits in Qlik Cloud Analytics Starter tier?
The Starter tier has a fixed 10 GB data capacity with no option to purchase more, and a maximum app size of 5 GB. This may constrain large datasets, making it suitable only for small teams with limited data needs.
How does Qlik Cloud Analytics compare to Power BI and Tableau?
Qlik Cloud Analytics differentiates with its associative engine for broader data exploration and built-in machine learning for forecasting. However, it can be pricier than Power BI, which requires additional Microsoft stack for scaling, and its interface has a learning curve.
Alternatives
How Qlik Cloud Analytics compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Qlik Cloud Analytics
- Pricing
- Starter: $300/month (10 GB data, 10 users min). Standard: $825/month (25 GB data, additional 25 GB packs). Premium: $2,750/month (50 GB data, 25 GB or 250 GB packs). Enterprise: custom quote (250 GB data).
- Target
- Qlik Cloud Analytics is a cloud-based analytics and business intelligence platform that provides interactive data visualizations, dashboards, and an associative data model for free-form exploration.
- Strength
- Associative data engine allows users to explore data freely, uncovering insights missed by query-based tools like Power BI.
- Watch for
- Starter tier has a fixed 10 GB data capacity with no option to purchase additional capacity, limiting growth for small teams.
Tableau
- Pricing
- $70/user/month
- Target
- Enterprise visualization specialists
- Deployment
- Cloud/On-prem
- Strength
- Visual storytelling with drag-and-drop
- Watch for
- Cost escalates with advanced features
Microsoft Power BI
- Pricing
- $9.99/user/month (Pro)
- Target
- Microsoft ecosystem users
- Deployment
- Azure-native integration
- Strength
- Seamless Office 365 integration
- Watch for
- Premium capacity nodes required for large datasets
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Sources
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