GoodData Pricing (2026)

Two-layer hybrid: Professional charges a platform fee plus a per-workspace fee, making workspaces the core value metric. Enterprise ditches that structure entirely for use-case-based custom pricing, which likely means they're negotiating around data volume, embedded analytics deployments, or user counts depending on the deal.

2 plans custom
Professional
Contact Sales
Enterprise
Contact Sales
Verified Jul 25, 2026 Official pricing page
Screenshot of GoodData's pricing page showing its plans and prices
Their pricing page, captured Jul 25, 2026

Keep up with your competitors, without the manual work.

Outmano tracks pricing, features, roadmaps and reviews across your market, then sends one weekly brief: what changed, and what it means for you.

Try Outmano free »

Professional

Contact Sales
  • Analytics features and BI capabilities
  • Full embedding functionality
  • Multi-tenancy and branding
  • Analytics Catalog
  • IDE Extension
  • React and Python SDK for Gen AI
  • Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Greenplum, Microsoft SQL Server, PostgreSQL, Snowflake, Synapse SQL, Vertica, and more
  • Data blending across multiple sources
  • Fully managed SaaS on AWS, Azure
  • Single sign-on (SSO)
  • Data centers include US, EU, Australia, Canada*, Singapore*, India*, Japan*, and Middle East* (*on demand)
  • Unlimited number of self-service reports and dashboards
  • Custom dashboard plugin extensions
  • Custom themes and branding per customer
  • Custom domain URL
  • Localized display language
  • Governed content publishing across tenants
  • Smart Search for easy discovery
  • Forecasting and Clustering capabilities
  • Technical support
  • Whitelabeling
  • iFrame, Web Components, and APIs for embedding
  • React SDK for building custom UIs
  • Python SDK for backend management
  • Semantic layer supporting reusable, resilient, and context-aware metrics
  • Built-in multitenancy with hierarchical workspaces
  • Declarative API for all metadata definitions
  • Open-source metadata and lifecycle management tooling (coming soon)
  • Environments
  • SOC 2 certification
  • GDPR, and ISO 27001 compliance
  • Cache results
  • FlexQuery storage

Enterprise

Contact Sales
  • Custom agents and Agent Builder
  • Context Management and AI governance
  • SLA support and dedicated customer success
  • AI Assistant with 20+ Analytics Skills
  • Dashboard Copilot
  • Summarization Copilot
  • Custom Agents
  • Agent Builder
  • Analytics Catalog
  • AI Memory
  • AI Knowledge
  • Semantic Quality Agent
  • Anomaly Detection
  • Key Driver Analysis
  • Forecasting
  • Clustering
  • AI Usage Analytics
  • Observability
  • BYOLLM
  • MCP Server with 30+ Tools
  • A2A Protocol
  • IDE Extension
  • React and Python SDK for Gen AI
  • Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Greenplum, Microsoft SQL Server, PostgreSQL, Snowflake, Synapse SQL, Vertica, and more
  • Data blending across multiple sources
  • Fully managed SaaS on AWS, Azure
  • Single sign-on (SSO)
  • Dedicated cluster
  • Data centers include US, EU, Australia, Canada*, Singapore*, India*, Japan*, and Middle East* (*on demand)
  • Multi-region deployment
  • Self-hosted deployment
  • Unlimited number of self-service reports and dashboards
  • Custom dashboard plugin extensions
  • Custom themes and branding per customer
  • Custom domain URL
  • Localized display language
  • Governed content publishing across tenants
  • Smart Search for easy discovery
  • Forecasting and Clustering capabilities
  • Technical support
  • Dedicated customer success manager
  • 99.5% guaranteed uptime SLA
  • Onboarding support
  • Whitelabeling
  • iFrame, Web Components, and APIs for embedding
  • React SDK for building custom UIs
  • Python SDK for backend management
  • Semantic layer supporting reusable, resilient, and context-aware metrics
  • Built-in multitenancy with hierarchical workspaces
  • Declarative API for all metadata definitions
  • Open-source metadata and lifecycle management tooling (coming soon)
  • Usage analytics
  • Environments
  • CI/CD — Data product management
  • SOC 2 certification
  • GDPR, and ISO 27001 compliance
  • WCAG AA Accessibility
  • SAML and multiple OIDC
  • Audit log
  • HIPAA
  • FedRAMP
  • Data blending across multiple sources
  • FlexConnect functionality to build self-service connectors
  • FlexConnect embedded connection logic
  • Data embedding
  • Ontology extraction
  • Direct and Import modes
  • Cache results
  • FlexQuery storage
  • Vector store
  • Knowledge graphs

AI Pricing Analysis

Pricing Model

Two-layer hybrid: Professional charges a platform fee plus a per-workspace fee, making workspaces the core value metric. Enterprise ditches that structure entirely for use-case-based custom pricing, which likely means they're negotiating around data volume, embedded analytics deployments, or user counts depending on the deal.

Tier Strategy

Professional targets analytics teams building out multi-tenant or departmental setups where workspace count scales predictably. The upgrade trigger to Enterprise is when the workspace model stops making sense — think large-scale embedded analytics, complex white-labeling, or enterprise procurement requirements that need bespoke commercial terms.

Competitive Positioning

Full custom pricing with no free tier or trial puts them squarely in the premium, sales-led segment — they're not competing on accessibility or self-serve. They're going after mid-market and enterprise buyers who are already committed to embedded analytics as a strategic investment, competing with the likes of Sisense and Qlik rather than Metabase or Looker Studio.

Growth Lever

Workspace count is the primary expansion lever on Professional — every new client or business unit you onboard costs more. The AI query cap (30/day per user under Fair Usage) is a secondary pressure valve, with purchasable query buckets creating a usage-based upsell path on top of the base contract.

GoodData Pricing FAQ

How much does GoodData cost?
Pricing is custom — you'll need to talk to their sales team for a quote.
Is there a free plan?
No free plan. You'll need to commit to a paid plan to get started.
Can I try it before paying?
Not at the moment. There's no free trial or free plan listed on their pricing page.
How does the pricing work?
Two-layer hybrid: Professional charges a platform fee plus a per-workspace fee, making workspaces the core value metric. Enterprise ditches that structure entirely for use-case-based custom pricing, which likely means they're negotiating around data volume, embedded analytics deployments, or user counts depending on the deal.
Which plan makes sense for me?
Professional targets analytics teams building out multi-tenant or departmental setups where workspace count scales predictably. The upgrade trigger to Enterprise is when the workspace model stops making sense — think large-scale embedded analytics, complex white-labeling, or enterprise procurement requirements that need bespoke commercial terms.

More Analytics pricing

Browse all tools →

Comparing GoodData to something specific? Try GoodData vs AgencyAnalytics, GoodData vs Amplitude, or GoodData vs AppsFlyer.

Set it up once. Stay ahead all year.

Add the competitors you care about and Outmano does the watching — then hands you a weekly action plan with what to do next.

Start tracking free »