Greatpoint HR Market Pricing vs Pave Market Data
Greatpoint HR Market Pricing
greatpointhr.comPave Market Data
pave.comSide by side
| Figure | Greatpoint HR Market Pricing | Pave Market Data |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| API | — | Yes |
| Plans published | 1 | 3 |
| Spec score · Salary Benchmarking Software | 7.4 (#13) | 8.2 (#3) |
| Spec score · Pay Transparency Software | 7.4 (#22) | 8.3 (#7) |
| Integrations | The maker says customers can import their existing survey subscriptions but does not name specific survey vendors or integrations on this page. | Supported connections include ADP, Ashby, BambooHR, Carta CSV, Culture Amp, Deel, Greenhouse, Gusto, HiBob, Lever, Rippling, SAP SuccessFactors, UKG, Workday and Zenefits. |
| Purpose | The product compares roles with external market data to set pay targets and ranges. | Pave Market Data provides compensation benchmarks to help companies make pay decisions. |
| Support | The maker says it is dedicated to supporting clients, and a customer testimonial describes the support as human rather than bot-based. | Pave’s help center lets users search for answers or submit a support ticket. |
Plans
Greatpoint HR Market Pricing
- Unspecified custom planPriced on request
Pave Market Data
- Market Data LitePriced on request
- Market Data LiteFree
- Market Data ProPriced on request
In their own words
Greatpoint HR Market Pricing
Greatpoint HR Market Pricing helps HR and compensation teams price roles against external market data and convert results into pay targets and ranges. Teams can import survey subscriptions they already hold, combine them with Greatpoint HR’s proprietary dataset, weight sources, apply aging factors and calculate percentile benchmarks. Location-based differentials can cover multiple markets. Pricing runs produce MRPs, P25, P50 and P75 percentiles, location-adjusted results and pay ranges. The platform adds historical trends, forecasts and economic or labor-market context. Teams can compare actual employee pay with market references to identify gaps, outliers and compression risks. Workflows support job matching, market selection, normalization, aging, weighted composites and percentile calculations. Methodology, rationale, approvals and versions are recorded for auditability, with leader-ready summaries and exportable outputs. The page describes real-time data refresh. Pricing is not public; prospective customers are directed to request a demo.
Pave Market Data
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.