Databox vs GoodData Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Free
- Cloud integrations
- BI features (limited*)
Analyst
- All integrations
- BI features
- Datasets
- MCP server & API
Pro
- All integrations
- BI features
- MCP server & API
- Sharing & Notifications
- Datasets (limited*)
Growth
Popular- Datasets
- 15-min sync*
- Forecasting
- Sub-accounts
- Dedicated CSM
Custom
- White-labeling
- Advanced security
- Single sign-on (SSO)
- Account setup
- Priority support
Professional
- 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
- 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
Databox vs GoodData FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Databox has a free plan. GoodData doesn't — you'll need to pay from day one.
- How do they charge?
- Different approach here. Databox uses hybrid pricing, while GoodData goes with custom. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Databox: Databox sits in the mid-market of the BI/dashboard space — more accessible than Tableau or Looker, but priced above lightweight tools like Whatagraph or Klipfolio's entry tiers. They're going after marketing and ops teams who want pre-built integrations and speed-to-insight without a data engineering team. GoodData: 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.
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