---
title: "Apollo vs People Data Labs: Enrichment Compared 2026 | Openbenchmarks"
description: "Apollo vs People Data Labs for company enrichment: field yield, accuracy, match rate, latency and cost on the same 282 human-reviewed companies. Open source."
url: https://openbenchmarks.com/company-enrichment/apollo-vs-people-data-labs
---

[](https://openbenchmarks.com/) 

[See the detailed company enrichment benchmark →](https://openbenchmarks.com/company-enrichment) 

[benchmarks](https://openbenchmarks.com/) / [company enrichment](https://openbenchmarks.com/company-enrichment) / apollo vs people data labs 

company enrichment · head-to-head

# Apollo vs People Data Labs

Company enrichment, measured head-to-head on the same 282 human-reviewed companies: the verdict is **split** — **People Data Labs** returns more correct data end to end, while **Apollo** is more accurate on the fields it does return. Every scored field judged against human-reviewed Ground Truth; latency and cost measured beside accuracy. Not vendor claims.

\[01\] axis by axis

## Apollo or People Data Labs — measured winner per axis

benchmarks/firmographic/head-to-head live 

| Axis | Apollo | People Data Labs | Measured winner |
| --- | --- | --- | --- |
| **Correct data end to end** (correct field yield) | 88.6% | 89.0% | **People Data Labs** |
| **Right when returned** (accuracy when present) | 92.6% | 91.2% | **Apollo** |
| **Companies resolved** (resolution rate) | 96.8% | 98.2% | **People Data Labs** |
| **Speed** (median latency) | 654 ms | 274 ms | **People Data Labs** |
| **Cost (cohort, self-serve rates)** (estimated cost) | $10.88 | $27.70 | **Apollo** |

Contact/person data, intent data, and integrations are not measured here — this is the company-firmographic slice only. [Full leaderboard, methodology, and per-company evidence →](https://openbenchmarks.com/company-enrichment) 

route by constraint 

There is no single “best” company enrichment API — the independent benchmark points to a different provider depending on the axis your workflow is constrained by. Every leader below is measured on 282 human-reviewed companies:

* CRM data you can trust end to end → People Data Labs highest enrichment success rate · 89.0%
* Few wrong values written — right when returned → Apollo highest field accuracy · 92.6%
* Fill the most fields per company → Parallel highest field coverage · 94.7%
* Find the most companies overall → Predict Leads highest company match rate · 100.0%
* Real-time enrichment in product or agent flows → People Data Labs lowest median latency · 274 ms
* Budget-constrained backfills → Nimble lite lowest estimated cost · $0.31 cohort

Full provider comparison, methodology, and per-company evidence: [the company enrichment benchmark →](https://openbenchmarks.com/company-enrichment) 

\[02\] faq

## Apollo vs People Data Labs — common questions

### Apollo vs People Data Labs: which has better company data?

On measured correct field yield (of the fields that could be filled correctly, how many were), People Data Labs leads: Apollo 88.6% vs People Data Labs 89.0%, judged field-by-field against human-reviewed Ground Truth on the same 282-company cohort. On accuracy of returned fields, Apollo leads (92.6% vs 91.2%).

### Is Apollo or People Data Labs cheaper for company enrichment?

At public entry self-serve rates for the full 282-company cohort: Apollo $10.88 vs People Data Labs $27.70 — Apollo is cheaper. Free allowances and volume discounts excluded; weigh cost against yield, since cheap wrong data costs more downstream.

### Which is faster, Apollo or People Data Labs?

Median request latency: Apollo 654 ms vs People Data Labs 274 ms — People Data Labs is faster. Latency matters for real-time enrichment in product or agent flows; for batch backfills it usually doesn't.

### Where does this comparison data come from?

The independent company-enrichment benchmark on this site: both providers received the same 282 company domains, responses were normalized to one contract, and GPT-5.6 judged each scored field against human-reviewed Ground Truth. No vendor pays for inclusion or rank; every judgment is public and reproducible.

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