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Keep GoodData if it already works for you. If your need is a governed semantic layer across internal and embedded analytics, that is what it is built for.
No published Databrain case study replaced GoodData, so this is the closest evidence we have: two teams that replaced another BI tool (Looker, Metabase) for customer-facing analytics. Figures and quotes are taken from each published case study. Two customers is a small sample.
Contract management SaaS, replaced Looker
“We now offer our customers extensive insights out of the box, sparing them the pain of creating their own metrics, all while ensuring they have a seamless experience.”
Freight pricing platform, replaced Metabase
“Databrain allowed us to create a fully custom analytics module. Anybody in the org was now able to create metrics and share data with their tool”
The short version of Databrain and GoodData side by side.
| Databrain | GoodData | |
|---|---|---|
| Built for | Multi-tenant B2B SaaS products embedding customer-facing analytics | A full analytics platform: BI, embedding, AI agents and a semantic layer |
| How it embeds | Web components (Shadow DOM) for React, Next.js, Angular, Vue, Svelte, Solid and vanilla JS | Iframes, Web Components, a React SDK, or raw data over the API |
| How tenants are scoped | clientId in a server-minted guest token; one data app serves every tenant | A workspace per tenant in a hierarchy, with a data filter on the child |
| Who needs a licence | Unlimited seats on every plan | Unlimited users and data on Professional, priced by platform fee plus workspaces |
| Pricing model | Flat and published: $999/mo Growth, $1,995/mo Pro, Enterprise custom | Professional: platform fee plus number of workspaces. Enterprise: custom. No public amounts |
| Query model | Live queries against your warehouse | Queries your connected data source; 'Direct and Import modes' are listed on Enterprise, and cache and FlexQuery storage are limited on Professional |
| Deployment | Databrain cloud, or self-hosted on Enterprise | Managed SaaS on AWS or Azure; self-hosted and dedicated cluster on demand (Enterprise) |
| Typical time to production | 1 to 4 weeks across five published case studies; Freightify 1 week, SpotDraft 4 weeks | GoodData publishes no figure |
Databrain is an AI-native embedded analytics platform for B2B SaaS. You connect your warehouse with read-only access, define metrics, mint a guest token from your backend, and place a web component in your app.
Dashboards are white-labeled, and customers can ask questions in natural language.
GoodData is an analytics platform with a semantic layer, dashboards, an AI assistant and several ways to embed. It implements multi-tenancy through workspaces: a parent workspace holds the model, metrics and dashboards, and child workspaces, one per tenant, inherit them and see filtered data.
It is sold as a managed cloud service, with self-hosted deployment available on demand for Enterprise.
In GoodData a tenant is a workspace: you create a child workspace under a parent and assign a filter value to it. In Databrain a tenant is the clientId in a guest token, and one data app serves all tenants. GoodData's model is built in and well documented, and you build and operate the workspace tree.
GoodData is semantic-model first: a logical data model and metrics, with MAQL for user data filters. Databrain is metric-builder first: drag and drop, custom SQL or natural language, then a token.
GoodData offers iframes, Web Components and a React SDK for building custom components, and its docs describe iframe and Web Components customization as limited. Databrain's recommended embed is web components, configured through four theming layers. GoodData's React SDK goes further if you want to compose your own visualizations.
GoodData Professional is priced as a platform fee plus the number of workspaces, with no public amounts, on annual plans. Databrain is a flat monthly price by feature, with unlimited seats, embeds and tenants.
GoodData is the broader platform: agentic AI with MCP and A2A, more compliance frameworks, and Import mode. Databrain is a narrower embedding layer, which is the point if embedding is all you need.
Twenty-two capabilities that decide a customer-facing analytics build, Databrain against GoodData. GoodData cells cite GoodData's own documentation and pricing page, opened on 22 October 2026. Databrain cells cite our pricing page and product docs. Where GoodData is stronger, the cell says so.
| Capability | Databrain | GoodData |
|---|---|---|
| Embedding and branding | ||
| Yes: Web components in your page | Yes: Iframe, Web Components, React SDK | |
| Whether the analytics surface is part of your page or a document your page hosts. | <dbn-dashboard> and <dbn-metric> from @databrainhq/plugin render inside Shadow DOM. An iframe route exists and our docs mark it as not recommended. | GoodData documents iframes for dashboards and the Analytical Designer, Web Components for dashboards and visualizations, and a React SDK for dashboards, visualizations and custom components. Its docs describe iframe customization as limited to hiding some elements, and Web Components customization as limited to a title and localization, with the React SDK for anything deeper. Web Components load React internally and run in an isolated scope. |
| Configure through component options | Yes: React SDK builds new componentsGoodData leads here | |
| If your design needs a visualization neither product ships, GoodData's SDK gives you more room. | You configure the embed through the component options and four theming layers, rather than composing new visualizations from primitives. | The React SDK lets you embed existing visualizations by reference, or build entirely new components and visualizations that fit your use case, and fetch raw data over the API for your own charting. |
| Yes: Seven framework guides | Yes: React SDK, Web Components, framework guides | |
| How much glue code your team writes per framework. | Guides for React, Next.js, Angular, Vue, Svelte, Solid and vanilla JS, all against the same component. | GoodData documents Web Components for any framework or vanilla HTML, a React SDK, and framework guides for Angular, Next.js and Vue. A Python SDK covers backend management. |
| Yes: Four theming layers, per-customer themes | Yes: JSON themes, white-labeling, custom domain | |
| Whether "matches our design system" is a token map or a theme file. | Chart appearance, admin theme options, custom chart settings and saved metric settings resolve in a fixed priority order. White-labeling and custom UI themes per customer are on every plan; email white-labeling is on Pro and Enterprise. | Themes are JSON with CSS properties that override only what you specify. White-labeling hides links to GoodData documentation and lets you upload your own logo for the whole organization. GoodData's pricing lists custom themes and branding per customer, whitelabeling and a custom domain URL on both Professional and Enterprise. Theming applies to dashboards and the Analytical Designer, including when embedded by iframe or Web Components. |
| Server-minted guest token with an expiry | Session cookie, JWT or API token | |
| Customer-facing embeds need an auth path that survives browser cookie changes. | Your backend mints the guest token with an expiry time. Databrain validates every request: token lookup, expiry, the request origin against your allowed domains, and permissions. | GoodData.UI applications authenticate with the GoodData session cookie, a JWT from your own portal, or an API token. GoodData's embedding docs say Chrome's phase-out of third-party cookies affects embedded iframes and Web Components, and offer two fixes: change the domain name setup, or switch to JWT-based authentication. |
| Multi-tenancy and security | ||
| Yes: One data app, scoped by clientId | Yes: Hierarchical workspaces, built in | |
| Whether adding a tenant is a value in a token or a workspace you create and filter. | One data app serves every tenant, and you do not need a data app per tenant. Tenancy can be a shared table with a tenant column, or a schema or database per tenant. Most teams run a single workspace. | Each tenant is a unique combination of the organization and a workspace. A parent (master) workspace holds the data model, metrics and dashboards; tenant-facing child workspaces inherit them, and users in a child who hold the required creation permissions can add their own metrics and dashboards without changing the parent. GoodData lists built-in multitenancy with hierarchical workspaces on both plans. |
Pass a clientId | Create a child workspace, set its filter value | |
| The per-tenant step your onboarding automation has to perform. | A new tenant's data is scoped as soon as your backend mints a guest token with its clientId, provided your tenant column, schema or database mapping covers it. | You create a child workspace under the parent, through the UI or API, and assign it a filter value that a workspace data filter matches against a mapped column. Only organization administrators can set up workspace data filters. |
| Partial: One shared dashboard; variants are copies | Yes: Children inherit; parent changes propagateGoodData leads here | |
| If each customer gets their own layout, GoodData's inheritance keeps those variants in sync with the template. | By default every tenant sees the same dashboards, scoped by the guest token. For per-customer layouts, Databrain documents a master dashboard with client dashboards derived from it, provisioned through the Import Dashboard API or the MCP server. Import and clone are copy operations: later edits to the master do not propagate to client dashboards already created. | A child workspace inherits entities from its parent, and GoodData states that any change in the parent workspace is immediately propagated to the child. A child can also hold its own entities in addition to the inherited ones. |
| Yes: Tenant filter injected into the SQL | Yes: Workspace and user data filters | |
| Both are real row-level security. The difference is where the rule lives and who maintains it. | For builder metrics Databrain injects the tenant filter into the generated query server-side. Custom SQL metrics are not auto-injected: the author references the tenant variable, or the metric runs unscoped. Per-session constraints go in rlsSettings in the guest token, enforced server-side and fixed at mint time. A separate row and column level security feature is listed on Enterprise. | Workspace data filters limit the data visible in child workspaces by matching a filter value to a column. User data filters, also called row-level security, use MAQL expressions per user or group and propagate along the data model. GoodData warns that users with the Workspace.MANAGE permission can bypass workspace data filters by changing the data model, so child-workspace users should not hold it. |
| Yes: Table, schema or database per tenant | Yes: Unique data source per child workspace | |
| Matters when your customers' data already lives in separate schemas or databases. | Tenants can share tables with a tenant column on every table, or each tenant can have its own schema or database, referenced in metric SQL through a database-name variable. | A child workspace can use its own data source or schema path when source data is organized per tenant. It must use the same logical data model as its parent and be the last node in the hierarchy. GoodData notes possible SQL dialect incompatibilities when the data source type changes across the hierarchy. |
| Partial: SOC 2 and GDPR; ISO 27001 in progress | Yes: SOC 2, ISO 27001/27002, GDPR, CCPA, moreGoodData leads here | |
| If a buyer's procurement list names CCPA, FERPA, GLBA or FedRAMP, GoodData lists them and Databrain does not. | Databrain's Trust Center lists SOC 2 and GDPR as compliant and ISO 27001 as in progress. HIPAA is listed as coming soon on Pro and Enterprise. | GoodData Cloud supports SOC 2, ISO 27001/27002, GDPR, CCPA, FERPA and GLBA by default. HIPAA is an add-on, and GoodData's pricing page lists HIPAA and FedRAMP as on demand for Enterprise, plus WCAG AA accessibility and an audit log. |
| Yes: Cloud, or self-hosted on Enterprise | Yes: SaaS on AWS and Azure, self-hosted on demand | |
| Regulated customers ask where the data sits and who can reach it. | Cloud, or self-hosted in your own infrastructure on Enterprise, with VPC peering and a bastion host. Queries run against your warehouse, and Databrain needs only SELECT permission on the tables it queries, with no write access. | Fully managed SaaS on AWS or Azure, with data centers in the US, EU and Australia and, on demand, Canada, Singapore, India, Japan and the Middle East. Enterprise adds a dedicated cluster, multi-region deployment and self-hosted deployment, all on demand. GoodData also supports connecting data through AWS PrivateLink. |
| Data and semantic layer | ||
| Partial: Live queries; caching on Pro and up | Yes: Direct and Import modesGoodData leads here | |
| If you want data held in a managed store instead of queried live, GoodData offers it. | Every surface queries your warehouse live through the same tenant-scoped path. Caching is available on Pro and Enterprise. | GoodData's pricing page lists Direct and Import modes, cached results and FlexQuery storage. Direct and Import modes are listed together on Enterprise, and cache and FlexQuery storage are limited on Professional. |
| Yes: Warehouses and databases, live | Yes: Over 20 databases | |
| Confirm your exact warehouse in both lists before you commit. | Databrain's pricing page names Redshift, Snowflake, MySQL, Postgres and ClickHouse, and says it supports all the popular data stores. | GoodData lists Snowflake, Redshift, Athena, BigQuery, PostgreSQL, Databricks, ClickHouse, MySQL, SQL Server, Oracle, Dremio, MotherDuck and others, 22 in all. Support for some is in beta or experimental. |
| Partial: Semantic layer on Enterprise | Yes: Logical data model and reusable metricsGoodData leads here | |
| Governed metric definitions across many tools are GoodData's core strength. | Datasets, datamarts and the semantic layer are listed under Data studio on the Enterprise plan. On Growth and Pro, metrics are built directly with the builder or custom SQL. | A logical data model and analytical model shared through the workspace hierarchy, with a semantic layer for reusable, context-aware metrics on both plans. All GoodData AI features are built on that semantic model, so answers follow its business logic and permissions. |
| Builder, custom SQL, natural language | MAQL | |
| Who on your team can ship a new metric without help. | Metrics are built by drag and drop, custom SQL or natural language. | GoodData's metric and filter language is MAQL, which its user data filters use. GoodData's AI features are designed so users do not need SQL or MAQL. |
| Yes: Forecasting on Pro, more on Enterprise | Yes: Forecasting and clustering, ML on Enterprise | |
| Both cover the common cases. GoodData lists clustering and key driver analysis, which Databrain's pricing page does not. | Drill-down and forecasting are on Pro and Enterprise. Forecasting, outlier detection, predictive algorithms and recommendations are listed on Enterprise. | GoodData's pricing page lists forecasting and clustering capabilities for dashboards on both plans. Its machine learning section lists forecasting, clustering, anomaly detection and key driver analysis on Enterprise only. |
| What your customer gets | ||
| Yes: Natural-language search on every plan | Yes: Agentic assistant, EnterpriseGoodData leads here | |
| GoodData's agent tooling is broader. Databrain's natural-language search is included on every plan. | Natural-language search is included on every plan, and follow-up chat on Pro and Enterprise. Connect OpenAI, Azure OpenAI, Claude, Gemini, Llama or Mixtral. Questions run through the same tenant-scoped query path as dashboards. | The Agentic AI Assistant supports follow-up questions, clarification and multi-step workflows, on top of the semantic model. GoodData's pricing page lists the AI Assistant, copilots, custom agents, bring-your-own LLM, an MCP server and the A2A protocol under Enterprise; Smart Search is on both plans. By default each user can run up to 30 AI queries a day, and the limit is configurable. |
| Partial: Enterprise plan | Yes: Users build their own metrics and dashboardsGoodData leads here | |
| Whether every customer request for a new chart becomes a ticket for your team. | End-user report creation is an Enterprise feature, and also needs the workspace and permissions configured to allow it. | End users in a child workspace who hold the required creation permissions can create their own metrics, visualizations and dashboards on top of the inherited ones without changing the parent. GoodData's pricing lists unlimited self-service reports and dashboards on both plans. |
| Token and API management | Yes: Declarative API, Python SDK, environmentsGoodData leads here | |
| Relevant if you manage analytics through a release pipeline across environments. | Server-to-server API keys mint guest tokens, and dashboards can be provisioned through the Import Dashboard API. | GoodData lists a declarative API for all metadata definitions, a Python SDK for backend management, and open-source metadata and lifecycle tooling (coming soon) on both plans. Enterprise adds three environments, CI/CD for data product management and usage analytics. |
| Commercial | ||
| Yes: Flat and published | Platform fee plus workspaces | |
| One of these bills is a number you can read today; the other starts with a quote. | Growth $999/mo, Pro $1,995/mo, Enterprise custom. Seats, embeds and tenants are unlimited on every plan. | Professional is per-workspace pricing: a platform fee plus the number of workspaces, with unlimited users and data. Enterprise is custom, use-case-based pricing. GoodData publishes no amounts. Plans are annual, and GoodData states a plan cannot be downgraded before the contract runs out. |
| 14-day trial; Slack or Teams support | 30-day trial advertised; SLA on Enterprise | |
| Check what the support tier you can afford actually includes. | 14-day free trial, with a proof of concept on your dataset for Pro and Enterprise. Support is a Slack, Microsoft Teams or Google Spaces channel plus in-app chat on every plan. Enterprise adds 24x7 premium support, a 99.5% uptime SLA and a dedicated account manager. | GoodData's pricing page advertises a 30-day free trial. Professional includes standard support through the GoodData community forums. Enterprise adds 24/7 prioritized SLAs, a dedicated customer success manager, onboarding support and a 99.5% uptime SLA. |
Tenant isolation is the hardest part of customer-facing analytics, and Databrain and GoodData solve it in different places. GoodData puts it in a workspace hierarchy with data filters. Databrain puts it in the token and the generated query.
Your backend mints a guest token that carries the tenant clientId. The embed sends that token with each request. Databrain looks it up server-side, checks expiry, permissions and the allowed origin, then generates SQL with the tenant filter applied before the query reaches your warehouse. One data app serves every tenant, and extra per-session constraints go in rlsSettings.
One sharp edge: in custom SQL metrics the tenant filter is not auto-injected, so the author must reference the tenant variable. A custom metric that omits it runs unscoped.
Databrain's Trust Center lists SOC 2 and GDPR as compliant, ISO 27001 in progress, with HIPAA coming soon. Compare the lists above against your buyers' requirements.
GoodData implements multitenancy through workspaces. A parent workspace holds the logical data model, metrics and dashboards, and tenant-facing child workspaces inherit them. A change in the parent propagates to the children immediately, and users with creation permissions can add their own metrics and dashboards in a child without changing the parent.
Data privacy comes from filters. Workspace data filters match a filter value assigned to each child workspace against a mapped column, and only organization administrators can set them up. User data filters use MAQL for per-user or per-group row-level security. If your source data is already separated per tenant, a child workspace can use its own data source or schema path.
One caveat from GoodData's own docs: users with the Workspace.MANAGE permission can change the data model and so bypass workspace data filters, so tenant-facing users should not hold it.
GoodData lists SOC 2, ISO 27001/27002, GDPR, CCPA, FERPA and GLBA by default, with HIPAA as an add-on.
clientId and your data app name.POST /api/v2/guest-token/createBoth are real tenant isolation; the difference is whether a tenant is a workspace you create and filter or a value in a token.
Both lists are genuine. If your situation matches the GoodData side, that is the right call.
Match your situation to the row, then check the feature comparison for the detail.
| If your question is | Lean toward | Because |
|---|---|---|
| The viewer is your customer, not your colleague | Databrain | Customer-facing embedding, per-customer themes and no per-viewer cost are what Databrain is built for. |
| Many tenants with self-serve onboarding | Databrain | Tenant scope comes from a guest token, and one data app serves all tenants. |
| The dashboard must match your product UI | Databrain | Web components and four theming layers. GoodData supports themes and white-labeling too, so check both against your design system. |
| You need a governed semantic layer shared across tools | GoodData | A logical data model and reusable metrics are GoodData's core, on both plans. Databrain lists its semantic layer on Enterprise only. |
| You need to build fully custom visual components | GoodData | GoodData's React SDK builds new components and visualizations from scratch. |
| You need CCPA, FERPA, GLBA, HIPAA or FedRAMP coverage | GoodData | GoodData lists these, with HIPAA and FedRAMP on demand. Databrain lists SOC 2 and GDPR, with ISO 27001 in progress. |
| End users must build their own dashboards, at any plan | GoodData | GoodData lists unlimited self-service reports and dashboards on both plans. Databrain's end-user report creation is Enterprise. |
| You need forecastable spend from a published price | Databrain | A flat monthly plan with unlimited seats, embeds and tenants. |
| You need to self-host the analytics layer | Either | Both offer it on their Enterprise tier. GoodData lists it as on demand; Databrain on Enterprise. |
A flat plan and a platform fee plus workspaces are different shapes of bill, and GoodData publishes no amounts, so compare Databrain and GoodData against a quote at your own tenant count. Neither is cheaper in every case.
Growth includes multi-tenancy and 1 data source. Pro adds unlimited data sources, SSO and roles and permissions. Enterprise adds self-hosting, multi-region deployment, VPC peering and bastion host, and a dedicated account manager.
GoodData's Professional plan includes full embedding, multi-tenancy and branding. Enterprise adds the AI assistant and agents, SLA support, a dedicated customer success manager, three environments, and HIPAA or FedRAMP on demand. GoodData states that extra buckets of AI queries can be purchased.
GoodData publishes no prices, so the Professional row reads as stated on its pricing page. Databrain prices are from the pricing page. Both were read on 22 October 2026. For the cost drivers behind a GoodData quote, see our GoodData pricing breakdown.
Keep GoodData for internal reporting if it works there. The move is for the customer-facing layer. Databrain's five published customers went live in 1 to 4 weeks, Freightify in 1 and SpotDraft in 4, and you can run both side by side until you cut over.
List the highest-traffic dashboards and the metrics behind them in your logical data model.
Connect to Databrain with read-only access.
Choose how tenants are separated: a tenant column, or a schema or database per tenant.
Rebuild them as Databrain metrics, using drag and drop, custom SQL or natural language.
From your backend, create a token with each customer's clientId.
Replace the GoodData embed with a Databrain web component for a pilot group and run both.
Move the remaining tenants, then retire the GoodData child workspaces you no longer need.
Plan to recreate dashboards rather than import them: we document no automated GoodData importer. No published Databrain customer has migrated from GoodData: the 1 to 4 week range comes from our five published case studies, none of which started on GoodData.
Yes, for customer-facing analytics inside a SaaS product. Databrain renders as web components, scopes each tenant from a guest token and charges a flat monthly plan. It is not a replacement for GoodData as an internal governed BI platform with a shared semantic layer, so keep GoodData for that if you rely on it.
GoodData publishes no prices: Professional is a platform fee plus the number of workspaces, with unlimited users and data, and Enterprise is custom. Its plans are annual. Databrain is flat and published: $999 per month for Growth and $1,995 for Pro, with unlimited seats, embeds and tenants. Ask GoodData for a quote at your tenant count, and see our GoodData pricing guide for what drives that quote.
Yes. In GoodData each tenant is a child workspace that inherits a parent's model, metrics and dashboards, and a workspace data filter limits its data. In Databrain you pass a clientId in a guest token and one data app serves all tenants. GoodData's hierarchy is built in and scales; you create and filter each workspace.
No. Databrain metrics are built by drag and drop, custom SQL or natural language. GoodData uses MAQL for user data filters and its semantic model, though its AI features are designed so users do not need SQL or MAQL. If your team already models in GoodData, that investment is a point in its favor.
Yes. Databrain includes white-labeling and per-customer themes on every plan. GoodData lists whitelabeling, custom themes and branding per customer and a custom domain URL on Professional and Enterprise. Its themes are JSON files, and white-labeling hides GoodData documentation links and swaps in your logo. Compare both against your design system before you decide.
Yes, on their Enterprise tiers. GoodData lists self-hosted deployment, a dedicated cluster and multi-region deployment as on demand for Enterprise, and says it can run on any public or private cloud or on premises. Databrain offers self-hosting on Enterprise, with VPC peering and a bastion host.
Yes. GoodData's Agentic AI Assistant supports follow-up questions and multi-step workflows over its semantic model, and Smart Search is on both plans. The assistant, copilots, custom agents and MCP server are listed under Enterprise. Databrain includes natural-language search on every plan and follow-up chat on Pro and Enterprise, with your choice of LLM.
Databrain's five published customers went live in 1 to 4 weeks. SpotDraft replaced Looker in 4 weeks and Freightify replaced Metabase in 1, according to their published case studies. No published customer has switched from GoodData, so treat this as Databrain's observed range, not a GoodData migration benchmark.
We check every GoodData claim against GoodData's own public documentation and pricing page, and we date the check: every GoodData source below was opened on 22 October 2026. GoodData now serves its docs and pricing from gooddata.ai, and gooddata.com addresses redirect there.
Databrain claims come from our published pricing page, product documentation and customer case studies. GoodData publishes no prices, so we do not state a GoodData price or a GoodData implementation time. Where we found no GoodData documentation of a capability, the cell says so, not that it is impossible. We did not compare GoodData support terms beyond the pricing page, or any certification beyond the documented lists.
Where GoodData is stronger, we say so. If you find something here that is out of date or wrong, tell us and we will fix it.
Thirty minutes. Bring your architecture and your warehouse, and we will show a white-labeled dashboard running against your schema and tell you plainly if you are a bad fit.