Decision comparison
Metabase vs Qlik Sense
Metabase and Qlik Sense both document self-service analytics, interactive dashboards, AI-assisted exploration, embedded analytics, and APIs, but their published commercial and product details differ. Metabase publishes a free Open Source option, $100-per-month Starter, $575-per-month Pro, a 14-day trial, and custom Enterprise pricing. Its materials describe a visual query builder, SQL editor, semantic layer, embedded analytics SDK, row- and column-level security, SSO, and cloud or self-hosted deployment. Qlik Sense documents interactive dashboards, natural-language interaction, its associative engine, AutoML and predictive analytics, mobile use, open APIs, embedded analytics, and low-code application automation. Qlik's pricing page says client-managed pricing requires contacting Qlik and does not list a public client-managed price. The appropriate choice depends on the deployment model, embedding approach, pricing transparency, AI workflow, and governance capabilities required for the implementation.
Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.
All 2 are BI platforms.
Quick Comparison
| Decision factor | Metabase | Qlik Sense |
|---|---|---|
| Best For | Self-service BI requirements involving a visual query builder, SQL editor, dashboards, semantic-layer governance, or embedded analytics. | Analytics requirements involving associative exploration, interactive dashboards, natural-language interaction, AutoML, predictive analytics, mobile use, or low-code automation. |
| Pricing Model | Community Edition is free, open-source and self-hosted, with unlimited users. Paid Metabase Cloud plans start with Starter at $100/month, or $90/month billed annually, including the first 5 users, then $6 per user/month. Pro is $575/month, or $517.50/month annually, including the first 10 users, then $12 per user/month. Enterprise is custom pricing starting at $20,000/year. Both paid plans offer a 14 days free trial. | Qlik sells Qlik Sense in the cloud as Qlik Cloud Analytics, priced by capacity and billed annually; client-managed Qlik Sense Enterprise on Windows is still released (May 2026) and quoted. Starter: starts at $300 per month, billed annually, for 10 users and a fixed 10 GB of data for analysis; more users can be bought. Standard: starts at $825 per month, billed annually, for 25 GB of data for analysis, with no cost for more users; more capacity comes in 25 GB steps. Premium: starts at $2,750 per month, billed annually, for 50 GB of data for analysis; more capacity comes in 25 GB or 250 GB packs. Enterprise starts at 250 GB of data for analysis and is quote-only, as is hosting on your own infrastructure. A free trial is offered. Verified 2026-10-09 against https://www.qlik.com/us/pricing. |
| Deployment | Self-hosted, Metabase Cloud, or an air-gapped Enterprise deployment option. | Qlik's documentation distinguishes client-managed Qlik Sense from Qlik Cloud Analytics. |
| Data Connectivity | 20+ supported data sources are listed on Metabase’s pricing page. | Qlik Sense documents connections and combinations across hundreds of data sources, including apps, databases, cloud services, and files. |
| AI Capabilities | AI questions on a preferred model, an MCP server, and answers guided by a semantic layer are documented. | Insight Advisor supports natural-language search and conversational analytics; Qlik also documents automated insights, AI-assisted creation and data preparation, AutoML, and predictive analytics. |
| Open Source | Yes — Metabase lists an Open Source plan as Free and documents self-hosted deployment. | Qlik's official documentation does not state whether Qlik Sense is open source. |
Metabase
- Best For:
- Self-service BI requirements involving a visual query builder, SQL editor, dashboards, semantic-layer governance, or embedded analytics.
- Pricing Model:
- Community Edition is free, open-source and self-hosted, with unlimited users. Paid Metabase Cloud plans start with Starter at $100/month, or $90/month billed annually, including the first 5 users, then $6 per user/month. Pro is $575/month, or $517.50/month annually, including the first 10 users, then $12 per user/month. Enterprise is custom pricing starting at $20,000/year. Both paid plans offer a 14 days free trial.
- Deployment:
- Self-hosted, Metabase Cloud, or an air-gapped Enterprise deployment option.
- Data Connectivity:
- 20+ supported data sources are listed on Metabase’s pricing page.
- AI Capabilities:
- AI questions on a preferred model, an MCP server, and answers guided by a semantic layer are documented.
- Open Source:
- Yes — Metabase lists an Open Source plan as Free and documents self-hosted deployment.
Qlik Sense
- Best For:
- Analytics requirements involving associative exploration, interactive dashboards, natural-language interaction, AutoML, predictive analytics, mobile use, or low-code automation.
- Pricing Model:
- Qlik sells Qlik Sense in the cloud as Qlik Cloud Analytics, priced by capacity and billed annually; client-managed Qlik Sense Enterprise on Windows is still released (May 2026) and quoted. Starter: starts at $300 per month, billed annually, for 10 users and a fixed 10 GB of data for analysis; more users can be bought. Standard: starts at $825 per month, billed annually, for 25 GB of data for analysis, with no cost for more users; more capacity comes in 25 GB steps. Premium: starts at $2,750 per month, billed annually, for 50 GB of data for analysis; more capacity comes in 25 GB or 250 GB packs. Enterprise starts at 250 GB of data for analysis and is quote-only, as is hosting on your own infrastructure. A free trial is offered. Verified 2026-10-09 against https://www.qlik.com/us/pricing.
- Deployment:
- Qlik's documentation distinguishes client-managed Qlik Sense from Qlik Cloud Analytics.
- Data Connectivity:
- Qlik Sense documents connections and combinations across hundreds of data sources, including apps, databases, cloud services, and files.
- AI Capabilities:
- Insight Advisor supports natural-language search and conversational analytics; Qlik also documents automated insights, AI-assisted creation and data preparation, AutoML, and predictive analytics.
- Open Source:
- Qlik's official documentation does not state whether Qlik Sense is open source.
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | Metabase | Qlik Sense |
|---|---|---|
| Docker Hub pulls(Product adoption) | 279.2M | Not available |
| GitHub commits, 90d(Product adoption) | 2.3k | Not available |
| GitHub stars(Product adoption) | 50,000+ | Not available |
| Search interest(Market interest) | 1 | 2 |
| Hacker News mentions, 90d(Community interest) | 11 | 0 |
| npm weekly downloads(Developer adoption) | 80.6k | 15.1k |
| Product Hunt comments(Community interest) | 30 | Not available |
| Product Hunt rating(Community interest) | 4.9/5 | Not available |
| Product Hunt reviews(Community interest) | 24 | Not available |
| Product Hunt votes(Community interest) | 314 | Not available |
| Stack Overflow questions(Community interest) | 374 | 805 |
| GitHub commits, 90d(Developer adoption) | Not available | 0 |
| GitHub stars(Developer adoption) | Not available | 49 |
As of November 9, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
Metabase
November 9, 2026Package vulnerabilities
npm · @metabase/embedding-sdk-react@0.65.2
0 vulnerabilities
across 1 package
Repository security score
github.com/metabase/metabase
7.1/10
Qlik Sense
November 9, 2026Package vulnerabilities
npm · @qlik/api@2.23.0
0 vulnerabilities
across 1 package
Repository security score
Not available
Interface Preview
Metabase
Qlik Sense
Feature Comparison
| Feature | Metabase | Qlik Sense |
|---|---|---|
| Data Visualization & Dashboards | ||
| Interactive Dashboards | Yes — Metabase documents dashboards, chart drill-through, filters and breakouts, and interactive dashboard embedding. | Yes — Qlik Sense documents interactive dashboard creation and exploration, including embedded interactive analytics. |
| Chart Types & Visualizations | Metabase documents charts, dashboards, a visual query builder, and unlimited questions and dashboards; its documentation does not enumerate chart types. | Qlik Sense documents visualization and discovery, plus open APIs for custom visualizations and extensions; its documentation does not enumerate chart types. |
| Mobile Support | Metabase's documentation does not describe mobile-specific support. | Qlik Sense is documented as built for mobile, with responsive design, touch interaction, offline analysis, and push notifications. |
| Querying & Data Exploration | ||
| No-Code Query Builder | Yes — the visual query builder supports exploration without writing SQL. | Qlik Sense documents self-service visualization and interactive exploration using its associative engine. |
| SQL Editor | Yes — Metabase documents a SQL editor alongside its visual query builder. | Qlik Sense's documentation does not specify a direct SQL editor. |
| Natural Language Querying | Metabase documents asking questions with AI and a preferred model, plus an MCP server. | Insight Advisor supports natural-language interaction for search-based and conversational analytics. |
| AI & Advanced Analytics | ||
| Augmented Analytics | Metabase documents AI-assisted questions and answers guided by a semantic layer; its documentation does not describe an augmented-analytics suite. | Qlik Sense documents automated insight generation, AI-assisted creation and data preparation, and augmented analytics capabilities. |
| Predictive Analytics | Metabase's documentation does not describe predictive analytics. | Qlik Sense documents AutoML, predictive analytics, key-driver analysis, and what-if scenarios. |
| Alerting & Automation | Metabase documents scheduled reports through Slack or email and alerts through Slack, email, and HTTP. | Qlik Sense documents data-driven alerting, event-driven actions, and low-code application automation workflows. |
| Governance & Security | ||
| Data Permissions | Metabase lists row- and column-level permissions, SSO, granular permissions, and multi-tenant data segregation. | Qlik Sense's documentation describes centralized management and governance but does not specify a permissions model. |
| Data Catalog | Metabase documents a governed semantic layer for canonical tables and metrics in Data Studio. | Qlik Sense documents a self-service catalog of analytics-ready data, including information about data origin and journey. |
| Multi-Tenant Data Segregation | Metabase documents multi-tenant data segregation, including row- and column-level security and granular permissions. | Qlik Sense's documentation does not describe multi-tenant data segregation. |
| Embedding & Extensibility | ||
| Embedded Analytics | Yes — Metabase documents embedded dashboards, an SDK for advanced embedded setups, white-labeling, dynamic styling, and tailored interactivity. | Yes — Qlik Sense documents open APIs for custom apps, visualizations, extensions, and fully interactive embedded analytics. |
| Application Automation | Metabase documents APIs, an MCP server, report schedules, and alerts; its documentation does not describe a low-code automation builder. | Qlik Sense documents a visual low-code environment for automation workflows and connectors to cloud applications. |
| Data Preparation | Metabase documents Data Studio for a governed semantic layer of canonical tables and metrics. | Qlik Sense documents data preparation and integration capabilities for combining data from many sources. |
Data Visualization & Dashboards
Interactive Dashboards
Chart Types & Visualizations
Mobile Support
Querying & Data Exploration
No-Code Query Builder
SQL Editor
Natural Language Querying
AI & Advanced Analytics
Augmented Analytics
Predictive Analytics
Alerting & Automation
Governance & Security
Data Permissions
Data Catalog
Multi-Tenant Data Segregation
Embedding & Extensibility
Embedded Analytics
Application Automation
Data Preparation
Which to choose
Metabase and Qlik Sense both document self-service analytics, interactive dashboards, AI-assisted exploration, embedded analytics, and APIs, but their published commercial and product details differ. Metabase publishes a free Open Source option, $100-per-month Starter, $575-per-month Pro, a 14-day trial, and custom Enterprise pricing. Its materials describe a visual query builder, SQL editor, semantic layer, embedded analytics SDK, row- and column-level security, SSO, and cloud or self-hosted deployment. Qlik Sense documents interactive dashboards, natural-language interaction, its associative engine, AutoML and predictive analytics, mobile use, open APIs, embedded analytics, and low-code application automation. Qlik's pricing page says client-managed pricing requires contacting Qlik and does not list a public client-managed price. The appropriate choice depends on the deployment model, embedding approach, pricing transparency, AI workflow, and governance capabilities required for the implementation.
Best-fit scenarios
Choose Metabase if:
Choose Metabase when a free open-source edition, self-hosting or Metabase Cloud, published monthly and yearly plan pricing, a visual query builder alongside a SQL editor, and a governed semantic layer are central requirements. Its documented embedding options include dashboards and an SDK for advanced setups. For governed embedded use cases, assess the documented row- and column-level permissions, SSO, multi-tenant data segregation, usage analytics, and auditing against the product’s access model.
Choose Qlik Sense if:
Choose Qlik Sense when the required workflow includes associative exploration, interactive dashboards, natural-language search and conversational analytics, AutoML, predictive analytics, mobile use, or low-code application automation. Qlik documents open APIs for custom apps, visualizations, extensions, and fully interactive embedded analytics, as well as connectivity across hundreds of data sources. For commercial evaluation, confirm Qlik Cloud plan details separately and contact Qlik for client-managed pricing.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
Is Metabase really free to use?
Metabase lists its Open Source plan as Free. Its pricing page lists free unlimited users, unlimited questions and dashboards, 20+ supported data sources, AI questions on a preferred model, and an MCP server. The same page says the open-source edition can be installed and later migrated to cloud. Metabase also publishes paid plan prices: Starter is $100 per month and Pro is $575 per month, with yearly billing shown separately. Buyers should check the selected deployment and billing term, because Qlik's pricing page distinguishes cloud deployment from self-hosted deployment and displays monthly and yearly options.
How does Qlik Sense pricing work?
The Qlik Sense product page does not list a public price, currency, billing term, user allowance, storage allowance, or plan-by-plan Qlik Cloud Analytics price. It states that client-managed Qlik Sense pricing requires contacting Qlik, while Qlik Cloud Analytics pricing is available on Qlik’s pricing page. That establishes a different buying path for client-managed use, but it does not support a like-for-like public price comparison with Metabase’s published Starter and Pro prices. Confirm the intended deployment, plan, usage allowance, and commercial terms directly with Qlik before budgeting.
What is Qlik's Associative Engine and why does it matter?
Qlik describes Insight Advisor as using AI together with its associative engine. Qlik's official comparison page supports that the engine enables free selection and exploration across objects and directions, while Qlik’s product page also describes interactive dashboard creation and exploration. Qlik further documents natural-language interaction for search-based and conversational analytics, automated insight generation, AI-assisted creation and data preparation, and AutoML and predictive analytics. Teams evaluating this workflow should validate how those exploration and AI capabilities fit their own data model, governance process, and reporting requirements.
Can Metabase handle enterprise-scale deployments?
Metabase documents deployment choices that include Metabase Cloud, self-hosting, and an air-gapped option for Enterprise. Its published Pro and Enterprise materials list row- and column-level permissions, SSO, caching controls, usage analytics and auditing, multi-tenant embedded analytics, and AI usage auditing and controls. The product site also describes multi-tenant data segregation, granular permissions, and a governed semantic layer for canonical tables and metrics in Data Studio. Enterprise is custom priced and includes a dedicated success engineer, procurement help, and a 1-day support SLA. The public documentation does not state a capacity limit or a universal scale guarantee, so those requirements should be evaluated against the planned deployment.
Which tool is better for embedded analytics?
Both products document embedded analytics, but the evidence describes different implementation surfaces. Metabase documents embedded dashboards, an SDK for advanced embedded setups, white-labeling, dynamic styling, tailored interactivity, and multi-tenant data segregation with row- and column-level security and granular permissions. Qlik Sense documents open APIs for customizing analytics solutions, developing custom apps, visualizations, and extensions, and embedding fully interactive analytics in existing applications and processes. Qlik also documents low-code automation workflows and cloud-application connectors. Our research does not establish a universal winner; compare the required embedding model, customization depth, security design, and operational workflow for the specific product.