Decision comparison
GoodData vs Metabase
GoodData and Metabase publish materially different product and commercial information. GoodData positions Professional around a platform fee plus a number of workspaces, with unlimited users and data, and lists analytics, embedding, multi-tenancy, branding, AI, and data connectivity capabilities. Its Enterprise offering is described as custom use-case-based pricing and adds items such as custom agents, Agent Builder, SLA support, dedicated customer success, 24/7 prioritized SLAs, and a 99.5% guaranteed uptime SLA. GoodData's pricing page does not state a public monetary amount, currency, or included workspace quantity for Professional or Enterprise; its pricing FAQ states that plans are annual. A buyer must confirm the exact quote and workspace quantity directly. Metabase publishes a free Open Source plan as well as monthly and yearly Starter and Pro prices, including the number of users included before its per-user charges apply. Its Enterprise plan is custom priced, listed as starting at $20,000 per year on the current pricing page. Product selection should therefore begin with the required deployment, embedding, governance, and support model, then validate plan-level access and commercial terms.
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 | GoodData | Metabase |
|---|---|---|
| Best For | Teams evaluating governed analytics, embedding, multi-tenancy, or agentic analytics. | Teams evaluating Open Source or cloud BI with visual query building, SQL editing, dashboards, and embedded analytics. |
| Architecture | Governed semantic foundation with APIs, SDKs, embedding interfaces, and agentic analytics tooling. | Open-source analytics with self-hosted and cloud deployment choices, a visual query builder, SQL editor, semantic-layer material, and integration through SDKs, APIs, CLI, and MCP. |
| Pricing Model | GoodData publishes no amounts; both plans are bought by contacting GoodData. Professional, for small and medium companies, is priced as a platform fee plus the number of workspaces, with unlimited users and data. Enterprise has custom, use-case-based pricing. Plans are annual, so a plan cannot be downgraded before the contract ends. A free trial is offered. Verified 2026-10-26 against https://www.gooddata.ai/pricing/ and https://www.gooddata.ai. | 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. |
| Ease of Use | The public documentation describes dashboards, AI assistants, copilots, workflows, SDKs, APIs, and code-defined agents; it does not provide a usability rating or learning-curve measurement. | Metabase describes a visual query builder for questions without SQL, clickable drill-through, and the option to use SQL for more complex analysis. |
| Scalability | GoodData lists hierarchical workspaces, tenant publishing controls, AWS and Azure managed SaaS, on-demand dedicated clusters, and 3 environments in Enterprise material. | Metabase lists multi-tenant embedded analytics, row- and column-level security, granular permissions, caching controls, and cloud or self-hosted deployment. |
| Community/Support | GoodData lists onboarding support, 24/7 prioritized SLAs, and a dedicated customer success manager in Enterprise material. | Starter lists 3-day support through email, support form, Slack, or Teams. Enterprise lists a dedicated success engineer and a 1-day support SLA. |
GoodData
- Best For:
- Teams evaluating governed analytics, embedding, multi-tenancy, or agentic analytics.
- Architecture:
- Governed semantic foundation with APIs, SDKs, embedding interfaces, and agentic analytics tooling.
- Pricing Model:
- GoodData publishes no amounts; both plans are bought by contacting GoodData. Professional, for small and medium companies, is priced as a platform fee plus the number of workspaces, with unlimited users and data. Enterprise has custom, use-case-based pricing. Plans are annual, so a plan cannot be downgraded before the contract ends. A free trial is offered. Verified 2026-10-26 against https://www.gooddata.ai/pricing/ and https://www.gooddata.ai.
- Ease of Use:
- The public documentation describes dashboards, AI assistants, copilots, workflows, SDKs, APIs, and code-defined agents; it does not provide a usability rating or learning-curve measurement.
- Scalability:
- GoodData lists hierarchical workspaces, tenant publishing controls, AWS and Azure managed SaaS, on-demand dedicated clusters, and 3 environments in Enterprise material.
- Community/Support:
- GoodData lists onboarding support, 24/7 prioritized SLAs, and a dedicated customer success manager in Enterprise material.
Metabase
- Best For:
- Teams evaluating Open Source or cloud BI with visual query building, SQL editing, dashboards, and embedded analytics.
- Architecture:
- Open-source analytics with self-hosted and cloud deployment choices, a visual query builder, SQL editor, semantic-layer material, and integration through SDKs, APIs, CLI, and MCP.
- 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.
- Ease of Use:
- Metabase describes a visual query builder for questions without SQL, clickable drill-through, and the option to use SQL for more complex analysis.
- Scalability:
- Metabase lists multi-tenant embedded analytics, row- and column-level security, granular permissions, caching controls, and cloud or self-hosted deployment.
- Community/Support:
- Starter lists 3-day support through email, support form, Slack, or Teams. Enterprise lists a dedicated success engineer and a 1-day support SLA.
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 | GoodData | Metabase |
|---|---|---|
| GitHub commits, 90d(Developer adoption) | 280 | Not available |
| GitHub stars(Developer adoption) | 36 | Not available |
| Search interest(Market interest) | Unavailable | 1 |
| PyPI weekly downloads(Developer adoption) | 24.2k | Not available |
| Stack Overflow questions(Community interest) | 167 | 374 |
| Docker Hub pulls(Product adoption) | Not available | 279.2M |
| GitHub commits, 90d(Product adoption) | Not available | 2.3k |
| GitHub stars(Product adoption) | Not available | 50,000+ |
| Hacker News mentions, 90d(Community interest) | Not available | 11 |
| npm weekly downloads(Developer adoption) | Not available | 80.6k |
| Product Hunt comments(Community interest) | Not available | 30 |
| Product Hunt rating(Community interest) | Not available | 4.9/5 |
| Product Hunt reviews(Community interest) | Not available | 24 |
| Product Hunt votes(Community interest) | Not available | 314 |
As of November 9, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
GoodData
November 9, 2026Package vulnerabilities
PyPI · gooddata-sdk@1.79.1
0 vulnerabilities
across 1 package
Repository security score
github.com/gooddata/gooddata-python-sdk
3.9/10
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
Interface Preview
GoodData
Metabase
Feature Comparison
| Feature | GoodData | Metabase |
|---|---|---|
| Data querying and exploration | ||
| Semantic layer and visual query tools | GoodData describes a governed semantic foundation that defines business logic once across dashboards, agents, and embedded workflows. | Metabase provides a visual query builder for asking questions without SQL, alongside models and metrics for recurring questions and calculations. |
| SQL editing | GoodData's documentation does not describe a SQL editor. | Metabase lists a SQL editor for more complex analysis and says users can write SQL or explore by clicking. |
| AI analytics tooling | GoodData lists AI experiences, agents, Context Management, AI governance, an AI Assistant with 20+ Analytics Skills, and an MCP Server with 30+ Tools in its pricing material. | Metabase lists AI questions on a preferred model and an MCP server, and describes plain-English querying with AI. |
| Embedding and integration | ||
| Embedding and branding | Professional lists full embedding functionality, multi-tenancy, and branding; GoodData also lists iFrame, Web Components, APIs, and React and Python SDKs for embedding. | Metabase Pro lists unlimited embedded charts and dashboards with tailored interactivity, branding customization, and white-label readiness. |
| Tenant and access controls | GoodData lists built-in multitenancy with hierarchical workspaces and governed content publishing across tenants. | Metabase Pro lists multi-tenant data segregation plus row- and column-level security and granular permissions. |
| Developer interfaces | GoodData describes code, SDKs, APIs, CLI or API agent management, JSON or YAML agent definitions, and API execution for integrations. | Metabase’s product documentation names an SDK, MCP server, CLI, APIs, and Slack among the ways to work with data and tools. |
| Governance, traceability, and identity | ||
| Governed business logic | GoodData says its semantic layer provides reusable, resilient, context-aware metrics and that business logic can be shared by agents, dashboards, and APIs. | Metabase describes a governed semantic layer of canonical tables and metrics in Data Studio. |
| Traceability and auditing | GoodData says Context Management can show which sources, rules, and inputs shaped an answer, recommendation, or action; Enterprise material lists an audit log. | Metabase Pro lists usage analytics and auditing, plus AI usage auditing and controls. |
| Single sign-on | GoodData lists SSO for its managed SaaS offering and lists SAML and multiple OIDC in Enterprise compliance and security material. | Metabase lists SSO in Pro features and names SAML, LDAP, JWT, and Google as supported identity integrations. |
| Deployment and data connectivity | ||
| Deployment options | GoodData lists fully managed SaaS on AWS and Azure, with self-hosted deployment available on demand; its agentic platform also describes cloud, self-hosted, and embedded environments. | Metabase lists cloud deployment, where it handles setup, backups, and upgrades, and a self-hosted option where the customer manages infrastructure. |
| Data source connectivity | GoodData lists Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Greenplum, Microsoft SQL Server, PostgreSQL, Snowflake, Synapse SQL, Vertica, and more, plus multi-source blending. | Metabase lists 20+ supported data sources and describes querying and visualizing data from a database or warehouse. |
| Open Source plan | GoodData's pricing page describes commercial Professional and Enterprise offerings and does not identify an Open Source plan. | Metabase lists an Open Source plan as Free, with free unlimited users, unlimited questions and dashboards, and self-hosted installation options. |
| Reporting and operational analytics | ||
| Dashboards and reports | GoodData Enterprise material lists an unlimited number of self-service reports and dashboards, custom dashboard plugin extensions, custom themes, localized display language, and Smart Search. | Metabase lists unlimited questions and dashboards, interactive dashboards, Documents, subscriptions, and alerts. |
| Alerts and workflow activity | GoodData describes workflows that orchestrate agents, data, and rules to keep operational analytics running 24/7. | Metabase says reports can be scheduled through Slack or email and alerts can be triggered through Slack, email, and HTTP. |
| Machine-learning features | GoodData Enterprise material lists anomaly detection, key driver analysis, forecasting, clustering, and machine learning. | Metabase's documentation describes AI questions, SQL generation, querying, dashboards, and drill-through; it does not identify the same GoodData machine-learning feature list. |
Data querying and exploration
Semantic layer and visual query tools
SQL editing
AI analytics tooling
Embedding and integration
Embedding and branding
Tenant and access controls
Developer interfaces
Governance, traceability, and identity
Governed business logic
Traceability and auditing
Single sign-on
Deployment and data connectivity
Deployment options
Data source connectivity
Open Source plan
Reporting and operational analytics
Dashboards and reports
Alerts and workflow activity
Machine-learning features
Which to choose
GoodData and Metabase publish materially different product and commercial information. GoodData positions Professional around a platform fee plus a number of workspaces, with unlimited users and data, and lists analytics, embedding, multi-tenancy, branding, AI, and data connectivity capabilities. Its Enterprise offering is described as custom use-case-based pricing and adds items such as custom agents, Agent Builder, SLA support, dedicated customer success, 24/7 prioritized SLAs, and a 99.5% guaranteed uptime SLA. GoodData's pricing page does not state a public monetary amount, currency, or included workspace quantity for Professional or Enterprise; its pricing FAQ states that plans are annual. A buyer must confirm the exact quote and workspace quantity directly. Metabase publishes a free Open Source plan as well as monthly and yearly Starter and Pro prices, including the number of users included before its per-user charges apply. Its Enterprise plan is custom priced, listed as starting at $20,000 per year on the current pricing page. Product selection should therefore begin with the required deployment, embedding, governance, and support model, then validate plan-level access and commercial terms.
Best-fit scenarios
Choose GoodData if:
Consider GoodData when the required scope includes a governed semantic foundation, embedded analytics, built-in multitenancy, or agentic analytics. Confirm the Professional platform fee, workspace quantity, plan term, deployment option, and the exact Enterprise custom-pricing terms because the public pricing page does not state those amounts.
Choose Metabase if:
Consider Metabase when an Open Source self-hosted option, a visual query builder, SQL editing, or published Starter and Pro plan terms are relevant. For cost planning, apply Starter’s $6 per-user monthly charge only after its first 5 included users, and Pro’s $12 per-user monthly charge only after its first 10 included users; verify the selected billing cadence and deployment.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
Can GoodData and Metabase both be used for embedded analytics?
Yes. GoodData’s Professional plan lists full embedding functionality, multi-tenancy, and branding. Its pricing page also lists iFrame, Web Components, and APIs for embedding, plus React and Python SDKs; the Enterprise material includes custom themes and branding per customer. GoodData’s agentic-analytics material describes deployment across cloud, self-hosted, and embedded environments. Metabase’s published Pro features include embedding unlimited charts and dashboards with tailored interactivity, multi-tenant embedded analytics, and white-label readiness. Its product material also describes starting with charts or embedded dashboards and using an SDK for more advanced setups. The official documentation supports embedded capabilities for both products, but does not establish that their implementation models, commercial terms, or feature availability are identical.
Is Metabase truly free to use?
Metabase lists an Open Source plan as Free, with free unlimited users, 20+ supported data sources, unlimited questions and dashboards, and a choice to write SQL or explore by clicking. Its site describes deploying the open-source edition as a free, self-hosted instance and shows a Docker command for doing so. The pricing page says that both an internal analytics team and users accessing embeds count as users. For paid Business Intelligence plans, Starter is listed at $100 per month on monthly billing or $1,080 per year, with the first 5 users included; additional users are $6 per user per month or $65 per user per year. Pro is listed at $575 per month or $6,210 per year, with the first 10 users included; additional users are $12 per user per month or $130 per user per year. Enterprise has custom pricing, and the vendor's current pricing page lists a starting price of $20,000 per year.
What AI capabilities are described for GoodData and Metabase?
GoodData describes an agentic analytics platform for building, orchestrating, and scaling governed AI. Its Context Management is described as supplying business context, knowledge, and rules, while its AI Management can configure agents, knowledge, memory, and LLMs. The product material distinguishes assistants that surface answers from governed data, copilots that suggest a next insight or action, and workflows that orchestrate agents, data, and rules. GoodData also lists an AI Assistant with 20+ Analytics Skills and an MCP Server with 30+ Tools in Enterprise material. Metabase’s current pricing page lists AI questions on a preferred model and an MCP server on Open Source and Starter, while its product material says AI can be used to query in plain English. The public documentation supports different named AI capabilities, but not a like-for-like ranking of their breadth or quality.
How do GoodData and Metabase address governance, access, and deployment?
GoodData describes a governed semantic foundation where business logic is defined once for dashboards, agents, and embedded workflows. Its agentic material says users can define the data, knowledge, tools, and policies available to an AI experience and trace the sources, rules, and inputs behind an output. The pricing page lists SSO, AWS and Azure managed SaaS, and self-hosted deployment on demand. Metabase describes a governed semantic layer of canonical tables and metrics in Data Studio. Its Pro material lists row- and column-level permissions, SSO, usage analytics and auditing, multi-tenant data segregation, and AI usage auditing and controls. Metabase’s site also names SAML, LDAP, JWT, and Google for SSO integration, and its pricing page presents both cloud deployment and self-hosting. Buyers should validate the particular deployment, identity, audit, and compliance requirements against the plan they intend to buy.