Workspace
    • Briefing
    • Ask Airframe
    Transformation
    • Audit
    Your Stack
    • Registry
    • Finance
    • Context
    Discover
    Powered by Airframe
    1. Research
    2. /
    3. Products
    4. /
    5. Bureau van Dijk
    Bureau van Dijk

    Bureau van Dijk

    Leader

    Bureau van Dijk is a Moody's Analytics company

    Est 1991|Valuation $3.5B|Raised $215.9M|6 Ref Customers
    LinkedIn 43K|Web traffic 330K|FTEs 900|HQ Amsterdam, Netherlands
    MarketsBusiness Intelligence (BI) and AnalyticsVerified Financial DatabasePrivate Markets Intelligence & Deal Sourcing Data
    Platform CoversCounterparty & Credit Risk Intelligence
    Bureau van Dijk screenshot
    FirmCompareTractionAnalysisAdvocates

    Insights

    All insightsAccountingFinanceSoftwareCustomer experience

    Benchmarks

    The Software LeaderboardMethodology

    Tools & data

    Market ExplorerStudioRegistry

    Company

    AboutCareers

    Legal

    Privacy PolicyTerms of Service

    © 2026 Airframe, Inc. All rights reserved.

      Published Oct 23, 2026

      01Competitive Landscape

      Narrative analysis

      - Where BvD tends to perform well: - Cross-border standardized company data for **private entities** - **Ownership trees and linkages** to support group risk and beneficial ownership research - Integration of company financials with M&A and other datasets in a unified environment - Where alternatives may be preferred: - For **sales prospecting with contact data**, D&B/ZoomInfo-like ecosystems are commonly selected. - For **private market investor/deal intelligence**, PitchBook often has stronger workflow fit. - For **public markets analytics and terminal-like experience**, FactSet / S&P Capital IQ / LSEG are often preferred when market data and analytics tooling are primary requirements. - Customer evidence comparing to alternatives: - Community feedback has compared Orbis extraction to other academic distribution platforms (such as WRDS), indicating that delivery mechanism and usability for bulk data workflows can be a deciding factor.
      Bureau van Dijk (Orbis/Zephyr)
      Dun & Bradstreet (D&B / Hoovers)
      PitchBook
      Starting PriceQuote-based; historical examples show high enterprise pricing (dated)Public SMB tier exists plus enterprise quotes (varies)Quote-based (typically enterprise)
      Typical Use CasesGlobal private company financials + ownership structures; cross-border comparability; compliance and entity linkageSales intelligence + commercial company/contact data; SMB to enterprisePrivate markets: PE/VC deals, funding, investors, comps
      Key StrengthEntity coverage breadth + ownership/linkage focusSales workflows and contact-centric prospecting; accessible entry tierDeep private market deal/investor intelligence and workflows
      Key WeaknessCost, export/licensing constraints; variable private-company completeness by countryCoverage/quality varies; may be less strong on complex ownership for global private entitiesLess focused on broad private company financial statements and corporate registry-style coverage
      • Where BvD tends to perform well:

        • Cross-border standardized company data for private entities
        • Ownership trees and linkages to support group risk and beneficial ownership research
        • Integration of company financials with M&A and other datasets in a unified environment
      • Where alternatives may be preferred:

        • For sales prospecting with contact data, D&B/ZoomInfo-like ecosystems are commonly selected.
        • For private market investor/deal intelligence, PitchBook often has stronger workflow fit.
        • For public markets analytics and terminal-like experience, FactSet / S&P Capital IQ / LSEG are often preferred when market data and analytics tooling are primary requirements.
      • Customer evidence comparing to alternatives:

        • Community feedback has compared Orbis extraction to other academic distribution platforms (such as WRDS), indicating that delivery mechanism and usability for bulk data workflows can be a deciding factor.