GoodData

Name: GoodData
Brand: GoodData
Rating: 4.3 (1004 reviews)

GoodData is a business intelligence and embedded analytics platform that provides an API-first, multi-tenant analytics environment with a reusable semantic metrics layer and SDKs for embedding dashboards into SaaS products and customer portals.

Est 2007|Valuation $311.4M|Raised $177M|80 Ref Customers

LinkedIn 27K|Web traffic 137K|FTEs 280

MarketsData Visualization Embedded Analytics

01Competitive Landscape

Narrative analysis

Embedded analytics and multi-tenancy: - GoodData’s workspace concept and embedding options (React SDK, web components, iFrame) are focused on SaaS/OEM use cases. Looker vs GoodData (third-party signal): - Third-party comparison data indicates different strengths across embedded BI contexts, with Looker showing strong engagement where LookML and GCP integration matter and GoodData showing traction where multi-tenant embedding and developer workflows are prioritized. Independent analyst coverage signal: - The vendor cites inclusion in a Gartner Magic Quadrant report as a Niche Player. Where competitors may excel: - Power BI often presents lower cost of entry and widespread organizational familiarity. - Tableau commonly leads in visualization polish and analyst-focused workflows. - Looker is often preferred where a LookML-based governed modeling layer and GCP alignment are priorities.

	GoodData	Looker (Google Cloud)	Microsoft Power BI
Starting Price	Mostly custom / contact sales; public pricing page lists features but limited numeric transparency	Pricing structure published by edition; enterprise quotes typical	Low per-user entry pricing at the entry tier; embedded pricing varies and typically requires enterprise quotes
Best For	Embedded analytics and multi-tenant workspaces; developer-centric integration	Organizations aligned with Google Cloud and LookML modeling	Organizations standardized on Microsoft ecosystem; broad BI adoption and low entry cost
Key Strength	Multi-tenancy/workspaces and a focus on embedding plus an API-first approach	LookML-based modeling and deep GCP integration	Low entry cost, large user base, and broad talent availability
Key Weakness	Modeling and metrics setup effort; version/migration complexity between legacy and cloud; some UI limitations	Requires LookML expertise and enterprise commercial engagement	Governance/semantic layer patterns require discipline; embedded at scale requires capacity planning

01Competitive Landscape

Narrative analysis

Embedded analytics and multi-tenancy:

GoodData’s workspace concept and embedding options (React SDK, web components, iFrame) are focused on SaaS/OEM use cases.

Looker vs GoodData (third-party signal):

Third-party comparison data indicates different strengths across embedded BI contexts, with Looker showing strong engagement where LookML and GCP integration matter and GoodData showing traction where multi-tenant embedding and developer workflows are prioritized.

Independent analyst coverage signal:

The vendor cites inclusion in a Gartner Magic Quadrant report as a Niche Player.

Where competitors may excel:

Power BI often presents lower cost of entry and widespread organizational familiarity.
Tableau commonly leads in visualization polish and analyst-focused workflows.
Looker is often preferred where a LookML-based governed modeling layer and GCP alignment are priorities.

	GoodData	Looker (Google Cloud)	Microsoft Power BI
Starting Price	Mostly custom / contact sales; public pricing page lists features but limited numeric transparency	Pricing structure published by edition; enterprise quotes typical	Low per-user entry pricing at the entry tier; embedded pricing varies and typically requires enterprise quotes
Best For	Embedded analytics and multi-tenant workspaces; developer-centric integration	Organizations aligned with Google Cloud and LookML modeling	Organizations standardized on Microsoft ecosystem; broad BI adoption and low entry cost
Key Strength	Multi-tenancy/workspaces and a focus on embedding plus an API-first approach	LookML-based modeling and deep GCP integration	Low entry cost, large user base, and broad talent availability
Key Weakness	Modeling and metrics setup effort; version/migration complexity between legacy and cloud; some UI limitations	Requires LookML expertise and enterprise commercial engagement	Governance/semantic layer patterns require discipline; embedded at scale requires capacity planning