Comparison
The hospitality depth the generalist providers won’t build.
ZoomInfo, Cognism, Apollo, Lusha, Kaspr and the legacy data giants are strong tools for selling software to sizeable companies across every industry. In our experience, few of them go deep on independent restaurants, hotels, retail, beauty and gym businesses, because for their model it is not worth the time, the cost or the specialist people it takes. Peach Data is a hospitality and F&B specialist across the UK, Europe and Australia, proven deepest in the UK. That gap is the whole reason we exist.
Why the generic providers leave this gap
A hospitality filter on a generalist database is not hospitality depth
Every large provider can hand you hospitality companies as a filtered slice of a general database. The question is why none of them build the owner level, screened, regularly refreshed picture of the venue that fieldwork takes, market by market. Three structural reasons, and none of them are going away.
Hospitality depth is a rounding error to them
The global providers are built to sell software across every industry to sizeable companies. Against that scope, independent restaurants, hotels, retail, beauty and gym businesses move none of their numbers. Building real depth in one vertical, venue by venue, is effort that does not show up on their roadmap.
Owner level, screened, regularly refreshed data is expensive to make
Scraped contact data is cheap to produce at volume. Resolving a named owner, attaching a direct dial where verified, screening every UK record against TPS and CTPS and refreshing on a rolling cycle so closures drop out is manual, market by market, and costly per record. It does not fit a self-serve model metered by credits.
This is not a scraping problem
It takes people who understand how a hospitality venue actually trades, plus the experience of having called these businesses. In our view, generalist vendors are staffed for scale and coverage across industries, not for hospitality fieldwork market by market. So the segment stays a gap. We built the company around filling exactly that gap, proven deepest in the UK.
Side by side
Peach Data vs the generic providers
For a team selling into hospitality and F&B venues across the UK, Europe and Australia. Grouped by category, since the trade-offs are shared across each. Scroll the table on mobile.
| Capability | Peach DataHospitality and F&B specialist | Global B2B databasesZoomInfo · Cognism (incl. Kaspr) · Apollo · Lusha | Legacy data giantsDun & Bradstreet · Experian |
|---|---|---|---|
| Depth in the hospitality and F&B long tail | Core focus | Skews larger firms | Firmographic breadth, thin contacts |
| Restaurants, hotels, hospitality, fleets as named verticals | Dedicated datasets | Generic industry codes | SIC codes only |
| Named owner or operator on the record | Where identified | Job title contacts | Company level only |
| Direct dial to the decision maker | Where verified | General B2B dials | Main switchboard |
| TPS and CTPS screened before delivery | Every record | Some screen TPS/CTPS; varies | Screening sold separately |
| Sector signals a generic database never carries | On the record | Not available | Some firmographics |
| Refreshed for openings and closures | Rolling | Rolling, not merchant specific | Periodic |
| CSV plus the platform for the whole team | Both, included | Per-seat platform | Enterprise contracts |
| Priced for a hospitality go to market | Per dataset | Global seat contracts | Enterprise licensing |
This page reflects each provider’s publicly stated positioning as of July 2026 and our own analysis and experience of hospitality coverage. Capability differs by provider and plan: some named providers, including those founded in the UK, screen UK phone data against TPS and CTPS. ZoomInfo, Cognism, Apollo, Lusha, Kaspr, Dun & Bradstreet and Experian are trademarks of their respective owners and are strong tools for their core use case of global B2B prospecting and business data. Capabilities change, so verify against their current documentation.
Go deeper on compliance and TPS screening, or browse the datasets for restaurants, hotels and fleets.
An honest take
When a global provider is the right call
Reach for a global database when
- You sell software or services to mid-market and enterprise companies
- You need intent data and coverage across many countries
- Your buyers are job title personas inside larger organisations
- Firmographics and credit data on registered companies is the job
Reach for Peach Data when
- You sell POS, payments, supply or services into hospitality and F&B venues
- You need the owner of an independent venue, not a head-office contact
- UK calling compliance and a clean TPS screen are non-negotiable for your UK book
- You want CSV ready records the whole team can work
Named comparisons
Compare Peach Data with a specific provider
Factual side by side pages built from each company’s own published pages, with sources on every point.
Weighing a switch instead? Read the alternative guides for Brizo FoodMetrics, DataLane and Caterlyst.
Comparison FAQ
Frequently asked questions
What is the best alternative to ZoomInfo, Cognism, Apollo, Lusha and Kaspr for hospitality data?
For teams selling into hospitality and F&B venues, Peach Data is the specialist alternative. ZoomInfo, Cognism, Apollo, Lusha and Kaspr are global B2B databases built around contacts at larger companies across every industry, while Peach Data is built only for hospitality across restaurants, hotels, food and beverage and fleets, in the UK, Europe and Australia. A named owner or operator is attached where we can identify it, with a direct dial where verified, and every UK record is screened against the TPS and CTPS registers before delivery and refreshed on a rolling cycle.
Why doesn't a big global data provider just cover the hospitality long tail?
It is a structural gap, not an oversight. Independent hospitality venues are a rounding error against a global market of enterprise software contacts, so building real depth in one vertical does not justify the investment. The data is also expensive to produce properly: resolving a named owner, attaching a verified direct dial, screening UK records against TPS and CTPS and refreshing on a rolling cycle is manual and market specific, which does not fit a self-serve credit model. And it takes people with hospitality register, licensing and fieldwork expertise that global vendors are not typically staffed for. Peach Data was built specifically to close that gap, proven deepest in the UK.
Is Peach Data cheaper than ZoomInfo, Cognism or Apollo?
It is a different model rather than simply cheaper. The global tools sell annual per-seat platform contracts metered by credits. Peach Data is priced per dataset for your go to market, delivered as CSV and through the platform, so the whole team can work the same records. For a hospitality go to market that usually works out more cost effective, but the real difference is depth and compliance on the venue base rather than headline price.
Is the data GDPR and PECR compliant?
Yes. Peach Data is registered with the ICO as a data controller. Phone numbers are screened against the TPS and CTPS registers before delivery and listed numbers are removed before release, lawfully supplied under UK GDPR. Suppressions are continuously re-screened, and customers re-screen again before any campaign, as PECR requires. Full registration and policy detail sits on our compliance page.
How often is the data refreshed?
On a rolling cycle. New openings are added and closures are removed, so your team works a market that reflects today rather than last year.
Do records include the owner and a direct dial?
A verified owner or operator name is attached where we can identify it. A direct dial is attached where verified, rather than a generic enquiries line.
How is the data delivered?
As a filtered CSV or through the platform. Standard column headers import straight into Salesforce, HubSpot, Pipedrive or any CRM that takes a spreadsheet, with no mapping project.
Can I get a sample before buying?
Yes. A pilot gives you a working sample built around the cities and business types you sell into, so you can test the depth and accuracy before committing.
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