Figures vs Pave Market Data

Figures is a compensation-management platform for mid-market and enterprise companies. Figures Benchmark provides 500,000+ compensation data points, including real-time fixed and variable pay, company-profile filters, and data-quality indicators; setup requires job levels. Structure adds salary bands, Pay Equity Foundations, compliant gender-pay-gap reports, automated employee information letters, and analytics. Companion adds annual and off-cycle compensation reviews, decision-history tracking, secure manager access, and advanced analytics showing review impact on pay equity. Pay Equity Expert provides advanced pay-gap analysis, worker-category breakdowns, remediation scenarios, and, depending on plan, automated remediation review campaigns. Figures connects with 30+ HRIS and review systems and supports SSO, role-based access, and least-privilege controls. The company says data is stored in Europe through AWS using aggregated de-identified benchmark data. Figures states SOC 2 Type 2 and ISO 27001 certification and GDPR compliance.

Pave Market Data provides compensation benchmarks for companies making pay decisions. It covers base salary, bonus and variable pay, total cash compensation, and new-hire and ongoing equity. Pave collects information through persistent connections to HRIS, ATS, and equity management systems, then uses machine learning to match employee records to job architecture before aggregating and de-identifying the data. Collection occurs daily, while benchmark updates are published monthly. Coverage includes more than 200 job families; Pro includes more than 55 countries and 90 cities or metros. Pro adds custom peer groups, advanced equity data, and customized reports. Lite is described for startups with 1–200 employees and includes the overall U.S. market plus one additional market. Access requires customers to connect HR platforms, with supported providers including ADP, BambooHR, Gusto, Rippling, and Workday. Lite is free; Pro pricing is by quote. Pave says users cannot access competitor-specific compensation data and describes its data as aggregated and de-identified.