A compensation benchmark arrives dressed as a fact: this role, in this city, at this stage, pays this much. The number may have a percentile attached and a tidy chart around it. Yet the number is an argument. It reflects which companies entered the dataset, which records they supplied, how jobs were matched and how recently the provider chose to publish the result. Pave and Carta Total Compensation sell similar outputs, but they assemble their pictures of the market from different starting points.
That distinction is more useful than a feature checklist. Pave's market-data network is built through persistent connections to human-resources information systems, applicant-tracking systems and equity-management systems. Carta's edge comes from the private-company ownership records in its cap-table ecosystem. One looks across the operating systems of a workforce. The other has a privileged view into how private companies issue and value equity.
Both routes can produce salary and equity benchmarks. Both vendors also offer planning tools that move a compensation team from a market number to pay bands, employee reviews and budget decisions. The buying choice begins one layer lower: which contributor network looks most like the employers competing for your people?
The database is the product
Pave says its current platform connects compensation data from more than 9,000 companies. Its published methodology explains that records flow from connected systems, are matched to a common job architecture, then aggregated and de-identified. New information can arrive daily, while published market benchmarks are refreshed monthly. Pave also says it applies minimum-company thresholds and may suppress or model sparse cuts.
This design matters because a customer does not need to buy a separate cap-table product from Pave just to reach the benchmark pool. Eligible smaller companies can connect systems for a limited free Market Data tier; larger or more complex teams can buy the Pro product. Participation still has a price in effort and trust: Pave requires connected HR platforms for Market Data access. The bargain is data for data, not data for nothing.
Pave
- HRIS + ATS + equity systems
- Automated job matching
- Aggregated, de-identified records
- Benchmarks published monthly
Carta
- Private-market cap tables + HR data
- Role, level and peer segmentation
- Salary, cash and equity percentiles
- Broad benchmarks refreshed quarterly
Carta's supply chain is different. The company said in June 2026 that Carta Total Compensation benchmarks draw from more than 50,000 private-market cap tables. Its product can segment results by role, level, geography and company peer group, including valuation-related cuts. For a venture-backed company deciding whether an engineering grant is ordinary or extravagant, that cap-table context can be unusually relevant.
There is an important correction to the old shorthand about Carta: buyers no longer need to manage their cap table on Carta to purchase Total Compensation. Carta opened the product to non-Carta cap-table customers in August 2024. Companies that do keep their cap table there can get additional monitoring of employee equity holdings and equity-planning recommendations. Access has widened; the provenance of Carta's distinctive dataset has not suddenly become generic.
The decisive question is not “Which database is bigger?” It is “Which database contains the companies we actually lose candidates to?”
What scale can hide
Vendor totals are tempting because they are easy to compare. Carta can point to more than 50,000 private-market cap tables. Pave can point to more than 9,000 connected companies, including a growing group of medium and large employers. Those denominators do not measure the same thing. A cap table is not the same unit as a company sending current HR records, and a company count says little about the depth of a particular role, location or stage cut.
Consider a head of finance at a Series B software company. Carta's ownership and valuation lens may yield a peer group that feels natural, especially for an equity grant. Now consider a public company pricing plant operations, or a global employer examining refresh grants alongside attrition and promotion rates. Pave's broader system connections and organizational metrics may make a more useful working set. Neither example proves universal superiority. It shows why procurement by logo count is weak.
Freshness also needs translation. Pave uses “real-time” to describe collection, not a benchmark that changes every minute. It receives updates through persistent connections and publishes monthly to protect consistency and quality. Carta markets real-time insight while its release notes show broad benchmark refreshes on a quarterly rhythm. A monthly release can react sooner, but an extra month of freshness will not rescue a mismatched peer set.
Choose the question before the tool
| Your priority | Start with | What to verify |
|---|---|---|
| Private-company equity and valuation-stage peers | Carta Total Compensation | Role depth, geographic coverage and the exact peer-group definition |
| Broader workforce data and connected compensation workflows | Pave | Relevant industry participants, integration quality and modeled data labels |
| A small team's first set of market bands | Test both entry paths | Usable roles, export limits, implementation work and renewal economics |
| A global or specialist workforce | Run a role-level bake-off | Incumbent counts, location coverage, matching accuracy and sparse cuts |
A sensible evaluation uses awkward jobs, not demo-friendly ones. Ask each vendor to price a common engineer, a specialized individual contributor, a manager with an unusual scope and an executive role. Use the locations where you actually hire. Compare cash, new-hire equity and refresh equity separately. If the tool supplies a confidence or consistency label, inspect it rather than treating every cell as equally solid.
Then look at what happens after the benchmark appears. A market number has to survive job leveling, manager review, budget constraints and an explanation to an employee. Carta's value can compound when ownership records already live beside the compensation plan. Pave's can compound when market pricing, merit cycles and total-rewards communication share the same connected workforce data. A team buying only a quarterly spreadsheet export should not pay for workflow depth it will never adopt. A team replacing three manual processes should include that avoided labor in the decision.
There are predictable blind spots on both sides. Carta's private-market strength may be less representative for a public-company peer set or a role concentrated outside venture-backed technology. Pave says its database still leans toward technology and technology-adjacent companies, even as other industries join. Geography, executive scope and new specialties can thin either sample. Ask to see the weak cuts. A vendor willing to show where data stops is more useful than one that turns every gap into a confident-looking curve.
- Define the talent market. Name the employers that recruit the same people, even if they sit outside your industry label.
- Audit provenance. Ask how a company becomes a contributor, when records were effective and when the displayed cut was published.
- Test job matching. A clean percentile is unhelpful when your senior engineer was mapped to the wrong level.
- Price the workflow. Include integrations, job architecture work, exports, planning modules and the labor needed to keep the system useful.
- Keep a second signal. Recruiting acceptance rates, regretted attrition and internal pay equity can challenge a market benchmark before it hardens into policy.
The practical verdict
Carta Total Compensation is the more intuitive first look for many venture-backed private companies whose hard question is equity. Its cap-table roots give the product a direct line into ownership data that is otherwise difficult to collect consistently. Existing Carta cap-table customers also get a tighter connection between grants, holdings and planning.
Pave is the more intuitive first look for a compensation team that wants an independent market-data layer connected to its existing HR stack, particularly when cash, bonus, equity and workforce signals must live in one operating workflow. Its pool is not conditioned on buying a different Pave system of record, though customers must still connect and contribute data to participate.
The honest answer can be “both.” Mature compensation teams often triangulate across sources because every dataset has selection effects. The less expensive answer is to run a focused test before committing: choose a dozen roles that drive hiring cost, have each vendor show the underlying sample quality it can disclose, and record where the outputs materially diverge. A disagreement is useful. It reveals where your definition of the market needs work.
Compensation software does not eliminate judgment. It moves judgment upstream, into peer groups, job levels and data provenance. Pave and Carta are credible tools for that work because each has built a difficult contributor network. The buyer's job is to decide which network tells the truth that matters for the next offer, review cycle and equity grant.
Frequently asked questions
What is the main difference between Pave and Carta Total Compensation?
Pave builds de-identified benchmarks from connected HR, recruiting and equity systems. Carta's distinctive advantage is a private-market dataset rooted in cap tables. Their overlapping features sit on different data supply chains.
Do I need a Carta cap table to use Carta Total Compensation?
No. Carta opened Total Compensation to non-Carta cap-table customers in August 2024. Companies with cap tables on Carta can access additional equity monitoring and planning features.
Can I use Pave without buying another Pave product?
Yes. Market Data is available independently, with a limited free tier for eligible smaller companies and a paid Pro tier. Pave requires participants to connect relevant HR platforms.
Which is better for equity benchmarking?
Carta's cap-table context can fit private-company equity decisions well. Pave also covers new-hire, refresh and unvested equity through connected equity systems. Test the exact stage, role and location you need.
How should I compare benchmark quality?
Look beyond company totals. Check peer definitions, role and incumbent depth, effective dates, job matching, geographic coverage, suppression rules and any confidence labels supplied with each result.