GoodData Corporation

United States · www.gooddata.com · 16 vendors

GoodData Corporation provides an AI-native decision intelligence platform designed to help enterprises transform trusted data into actionable insights. The company offers tools for building and delivering intelligent applications with composable data, AI-enabled analytics, embedded analytics, and data visualization capabilities.

Resilience scores

Disruption prediction

GoodData Corporation has an estimated 21% probability of disruption in the next 6 months.

14 of GoodData Corporation's 16 vendors monitored for disruptions.

Technology vendors

Services catalogue

2 services in catalogue across 2 categories; runs on 16 sub-vendors.

Insights

Last updated 2026-08-08 · revision 8

16 direct vendors, 249 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Migration Readiness: 9/10

Assessed by AI based on technology stack characteristics (cloud-native vs legacy, containerization, microservices), regulatory environment, data residency requirements, financial stability, and vendor lock-in risks. The score ranges from 0-10, where higher scores indicate better readiness for technology migration.

GoodData Corporation exhibits very high migration readiness. The company's internal tech stack is overwhelmingly cloud-native, utilizing Kubernetes, Docker, and Helm for container orchestration across a multi-cloud environment (AWS, Microsoft Azure, Google Cloud Platform). This architecture is inherently portable and designed for seamless migration between cloud providers or even to on-premises environments via their self-hosted option. The 'Analytics as Code' and 'Headless BI' capabilities, which emphasize API-first design, Python SDKs, and RESTful APIs, significantly reduce vendor lock-in and facilitate integration or migration of analytics components into diverse applications and workflows. The use of open-source data technologies like DuckDB, Apache Iceberg, and Apache Arrow further enhances portability and reduces reliance on proprietary data formats or systems. GoodData's explicit support for 'geographical zone selection' and 'self-hosted deployment options' directly addresses complex data residency and sovereignty requirements, which are often major impediments to migration. This flexibility allows customers to migrate their data and analytics workloads while adhering to strict regulatory mandates. The company's comprehensive regulatory compliance framework (GDPR, HIPAA, SOC 2, CCPA, GLBA, FERPA) demonstrates a mature understanding of data governance, which streamlines the compliance aspects of any migration. The multi-cloud and multi-LLM vendor strategy (OpenAI, Anthropic Claude, Google Gemini, Meta Llama) indicates a deliberate effort to avoid single-vendor lock-in for critical infrastructure and AI capabilities, making future migrations or technology shifts less disruptive. The company's strong financial position, evidenced by significant capital raised and growth, suggests ample resources to support internal and customer-led migration initiatives. There are no significant migration challenges identified; the platform's design actively promotes flexibility and portability.

Compliance

10 in-scope frameworks identified; showing 3.

FERPA — Assessment Required

GoodData displays a FERPA compliance badge on its security page, indicating awareness of and likely compliance posture for education sector customers. FERPA applies to educational institutions receiving federal funding and their service providers handling student education records. Risk is Low because FERPA is a sector-specific regulation with limited scope, and GoodData's primary market focus is not education. However, the explicit FERPA badge suggests some education sector customer engagement.

Evidence: https://www.gooddata.ai/security/

NIS2 (source) — Assessment Required

GoodData is a US-headquartered company but actively serves EU/EEA customers and may qualify as a 'digital provider' or 'ICT service management' entity under NIS2 Directive (EU) 2022/2555. NIS2 applies to 'digital infrastructure' and 'managed ICT service providers' operating in the EU, regardless of where they are headquartered, if they provide services to EU entities. GoodData's cloud analytics platform is used by EU-based organizations (e.g., Boozt, a major Scandinavian retailer), and the company has a German-language site suggesting active EU market presence. However, the exact classification (Essential vs. Important Entity), whether GoodData meets the size thresholds (50+ employees or €10M+ turnover) in the EU context, and whether it falls under the 'digital providers' category (cloud computing services, online marketplaces, search engines) requires formal legal assessment. Risk is Medium because NIS2 non-compliance for in-scope digital providers carries significant penalties (up to €10M or 2% of global turnover for Important Entities), and GoodData's cloud SaaS model is plausibly in scope.

Evidence: https://www.gooddata.ai/security/, https://www.gooddata.ai/legal/, https://www.gooddata.ai/company/

ISAE 3000 (source) — Assessment Required

ISAE 3000 (Assurance Engagements Other than Audits or Reviews of Historical Financial Information) is the international standard for non-financial assurance engagements. GoodData's SOC 2 Type II reports are issued under AICPA AT-C Section 205 (US GAAS framework), not ISAE 3000. However, for EU/international customers, some auditors issue SOC 2 reports under both AICPA standards and ISAE 3000 (as ISAE 3000 is the international equivalent). There is no public evidence that GoodData's SOC 2 reports are dual-issued under ISAE 3000. Risk is Low because the underlying controls are robust and SOC 2 Type II provides equivalent assurance; the gap is purely a reporting framework question relevant primarily to non-US stakeholders requiring ISAE 3000 format.

Evidence: https://www.gooddata.ai/security/

Financials

Three-year financials

Financial Resilience Score: 6/10

GoodData Corporation is a mature, venture-backed private US SaaS company founded in 2007 with nearly two decades of continuous operations in the highly consolidated cloud BI category. The company has raised over $150 million from blue-chip investors including Andreessen Horowitz, General Catalyst, Intel Capital, and Tenaya Capital, providing continued access to growth capital. Its enterprise subscription-based revenue model tends to be resilient and predictable, and management has publicly described 2025 as a record year for net new ARR with strong Q3 and Q4 growth commentary. However, the company publishes no revenue, EBIT, or equity figures, files nothing with the SEC, and its quarterly press releases provide only qualitative growth commentary. This financial opacity prevents verification of profitability, cash burn, runway, or balance-sheet strength. The company competes in a highly competitive category against much larger incumbents (Microsoft Power BI, Tableau/Salesforce, Qlik, Looker/Google, ThoughtSpot) and faces category disruption from generative AI-first entrants. After 18+ years and $150M+ raised, the exit path remains uncertain. Q4 2025 commentary also suggests potential customer concentration in a small number of large customers. Overall resilience is moderate given long operating history and strong investor backing, offset by financial opacity and competitive pressures.

Key strengths: Long operating history since 2007 (nearly two decades), Enterprise subscription-based recurring revenue model, Over $150M raised from blue-chip VCs (a16z, General Catalyst, Intel Capital, Tenaya), Named-brand enterprise customer base (Kantata, Boozt, MSX International, Mews, LiveVox, Persefoni), Recognized in 2026 Gartner Magic Quadrant for Analytics & BI Platforms, Strong compliance posture: SOC 2 Type II, ISO 27001, HIPAA, GDPR, FedRAMP, Cost-efficient R&D footprint via Czech engineering hubs (Prague, Brno), Management claims record Q3 2025 net new ARR and strong Q4 2025 growth, 3.2-3.6 million users across 140,000+ businesses in 23 countries, Product breadth expansion into AI/agentic analytics (Agent Builder, MCP Server, AI Assistant)

Risk factors: Financial opacity - no published audited financials or SEC filings, Highly competitive BI category with much larger incumbents (Microsoft, Salesforce, Google), Category disruption risk from AI-first BI startups, Uncertain exit path after 18+ years and $150M+ raised as private company, Potential customer concentration signal from Q4 2025 payments customer commentary, Geopolitical/FX exposure with CZK cost base and USD/EUR revenue, Cannot verify profitability, cash burn, or runway from public sources

Revenue by geography

Revenue by product/service

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