Compare · Equipment finance / UCC · EDA
ParseData vs EDA
EDA and ParseData both sell lead data, but they are built on different foundations. Here is an honest read on where each fits — including where EDA is genuinely stronger.
At a glance
Side by side
| EDA | ParseData | |
|---|---|---|
| Category | Equipment-purchasing / UCC data | Cross-industry buying-signal lead data |
| Pricing | Not public (demo gate) | $99–$599/mo, self-serve, transparent |
| Data spine | Resold UCC (decades) + D&B firmographics | Official records as dated, first-class Parse events |
| Model | Sales-led / quote-gated | Parse-first, self-serve |
What they do
EDA
Equipment-purchasing data — UCC tied to specific equipment (construction/ag/trucking), purchases and refinances — deep but narrow and sales-gated.
Source: edadata.com. Pricing per the competitive-landscape research (public pages + third-party estimates).
Where ParseData differs
ParseData's edge
- Cross-industry breadth vs equipment-owner UCC only.
- Self-serve, not demo-gated.
Where they're stronger
EDA's edge
- Decades of equipment-specific UCC depth for the equipment-finance vertical.
The honest read
EDA is deep-but-narrow equipment UCC. ParseData trades depth in one dataset for breadth across many buying signals.
Comparison is observational and based on public information as cited; vendor names and trademarks belong to their owners. ParseData serves sanitized public US federal records — not a consumer report, no FCRA use.