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Ranked: the best private-company databases for lower-middle-market deal sourcing

An honest category-by-category ranking of Veltria, Grata, SourceScrub, D&B, ZoomInfo and Apollo across coverage, contacts, price, quality, workflow, exports and overall fit.

Veltria Research·2026-07-05·8 min read
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Ranked: the best private-company databases for lower-middle-market deal sourcing

If you are buying a private-company database for lower-middle-market deal sourcing, do not start with the logo grid. Start with the job. Do you need personal emails and dialer workflows, or do you need a clean universe of companies by country, sector and revenue band? Those are different products.

This is an honest ranking for one buyer intent: company-level lower-middle-market deal sourcing data. Veltria wins that narrow category because it is focused, transparent and cheap to sample. It does not win contact data or sales engagement.

Ranked private-company databases for lower-middle-market sourcingScores are editorial ratings out of 10 for this exact use case. Contact data is scored as capability, not compliance preference.
ProviderCategoryCompany coverageContact dataPricingData qualityWorkflowExport rightsOverall
VeltriaCompany-level US/EU firmographics9.24.09.48.17.29.18.5
GrataPE-oriented company discovery platform8.76.06.28.48.87.07.9
SourceScrubDeal sourcing database8.35.86.48.08.27.17.6
D&B HooversBroad business reference database8.96.85.77.57.06.27.0
ZoomInfoContact database and GTM platform7.49.54.87.39.05.56.8
ApolloSales contacts and engagement6.88.97.66.58.75.86.6

Source: Veltria dataset, 756,757 companies, computed 2026-07-02.

Provider-by-provider analysis

The table is only useful if the trade-offs are explicit. Here is the practical read, written for a buyer who is deciding what to trial next rather than looking for a fanboy ranking.

Veltria

Veltria is strongest as a company-level dataset: 362,575US companies and 394,182 Europe companies in the $5M–$300M estimated revenue band, with fields designed for account lists, deal maps and market sizing. The advantage is transparency: buyers can cut the universe by country, sector and revenue band before buying. The weakness is equally clear: Veltria is not a contact database. If you need named decision-makers, phones, inboxes, sequences or intent workflows, you will need a contact platform after or instead of Veltria.

Grata

Grata is a serious private-market intelligence platform for investors, bankers and corporate development teams. Public materials position it around AI search, private company discovery, relationship intelligence and deal workflows, with claims of 21M+ companies and 10M+ executive contacts. That makes it a better fit than Veltria when a team wants a full sourcing workspace: saved theses, relationship context, CRM sync, executive contacts and analyst-like company discovery. It is less ideal for a small buyer who simply wants to price and export a defined company-level slice without entering an enterprise sales motion.

SourceScrub

SourceScrub is also purpose-built for investment and M&A teams. Its public positioning emphasizes founder-owned company discovery, interconnected source lists, AI plus expert-in-the-loop data operations, CRM enrichment and firm-wide exports. That is valuable for PE firms and bankers who want workflow, sourcing signals and market coverage in one platform. Compared with Veltria, SourceScrub looks more mature as a sourcing operating system; Veltria is simpler as a dataset purchase when the user already knows the filters they want and wants the rows.

D&B Hoovers

D&B Hoovers has one of the strongest brands in company reference data. Its advantage is broad business coverage, firmographics, corporate-family trees and the Dun & Bradstreet identity layer. For procurement-heavy enterprises, that trust matters. The trade-off is packaging and cost complexity: public reviews and pricing pages describe credit systems, paid tiers and enterprise sales motions. If you need a global reference database tied to D-U-N-S style identity, D&B can be the right choice. If you need a narrower US/EU lower-middle-market export at a clear price, Veltria is easier to evaluate.

ZoomInfo

ZoomInfo should not be dismissed. It is strong where Veltria is deliberately weak: contacts, mobile numbers, business emails, sales intelligence and GTM activation. For a sales team whose next step is outbound, ZoomInfo can absolutely be the better purchase. The reason it scores lower here is category fit. A buyer doing market mapping, TAM sizing or lower-middle-market account selection may not want to pay for a full contact and activation stack. In that case, a company-level dataset can be cleaner and cheaper.

Apollo

Apollo is often the value pick for outbound sales. Public reviews emphasize a large contact database, search filters, sequences, dialer-style workflow, integrations and a generous free or lower-cost entry point compared with larger enterprise tools. That makes it useful for SDR teams and founders who want to prospect immediately. It is not the best fit when the buyer wants a controlled private-company firmographic export, exact market counts or a dataset to feed analysis. Apollo is a sales execution tool first; Veltria is a market/account universe first.

Why Veltria scores highest for this specific use case

  • Focused coverage: 362,575 US and 394,182 Europe companies in the $5M–$300M revenue band.
  • Company-level only: no personal emails, no personal phone numbers, no individual contact records.
  • Transparent price: buyers can slice by country, sector and revenue band before checkout, with visible counts and rates.
  • Exportable dataset: built for market maps, target universes, CRM account enrichment and analysis, not just inside-platform browsing.

When not to choose Veltria

If your priority is SDR sequences, mobile numbers, inbox enrichment or intent-based outbound automation, choose a contact database or sales engagement platform. Veltria is a company universe and firmographic dataset, not a contact broker.

Build a lower-middle-market target universe from Veltria's US and Europe company dataset.

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Every number in this piece was computed from our dataset of 756,757 companies. You can buy the exact slice of data behind this analysis, or build your own custom list.