Best B2B data providers 2026.
Sixteen vendors compared on the same axes across all six B2B data types - contact, firmographic, technographic, intent, hiring-signal, and bulk web data. What each vendor actually sells, what it costs, where it wins, where it doesn’t.
The six types of B2B data
“B2B data provider” hides six different products. Most buying mistakes in this market come from comparing vendors across categories - benchmarking a contact database against an intent feed tells you nothing useful about either.
The taxonomy below is the lens for every review on this page. Work out which data types your motion actually needs first; the vendor shortlist mostly writes itself afterward.
| Category | What it tells you | Example providers | Best for |
|---|---|---|---|
| Contact data | Who to reach: verified emails, direct dials, mobile numbers, job titles. | ZoomInfo, Apollo, Cognism | Outbound sales teams that need people, not just accounts. |
| Company / firmographic data | What the company is: size, industry, revenue, funding, location, hierarchy. | Clearbit, People Data Labs | Enrichment, routing, scoring, and territory planning. |
| Technographic data | What the company runs: the software and infrastructure detected in its stack. | HG Insights, BuiltWith | Targeting by installed technology and competitive displacement plays. |
| Intent data | What the company is researching: content consumption and review-site activity. | Bombora, G2 Buyer Intent | Prioritizing accounts already moving toward a purchase. |
| Hiring-signal / jobs data | What the company is staffing: job postings, headcount growth, team build-outs. | JobsPipe, TheirStack | The earliest demand signal - budget decisions visible before a buying cycle starts. |
| Bulk / raw web data | Large raw datasets - companies, employees, postings - delivered for you to model. | Coresignal, Bright Data | Data teams building proprietary models, ML training sets, or research datasets. |
TL;DR comparison
Sixteen vendors at a glance, grouped by data type. Detailed reviews of each are below.
| # | Vendor | Category | Best for | Pricing | Free path |
|---|---|---|---|---|---|
| 1 | ZoomInfo | Contact data | Enterprise sales orgs that want the deepest US contact database with workflow tooling attached. | Sales-led, seat-based; serious usage typically runs $30k+/year. | Limited trial via sales |
| 2 | Apollo | Contact data | Startups and mid-market teams that want contacts plus sequencing in one affordable tool. | Free tier; paid plans from roughly $49 per user per month, billed annually. | Free tier, self-serve |
| 3 | Cognism | Contact data | EU-focused sales teams that need GDPR-clean contact data with strong mobile coverage. | Sales-led, seat-based; mid-four-figure to low-five-figure monthly commitments are typical. | Free trial on request |
| 4 | Clearbit (HubSpot Breeze Intelligence) | Company / firmographic data | HubSpot-centric teams that want enrichment and form-shortening natively in their CRM. | Credit-based through HubSpot; entry packages start in the low hundreds monthly. | Bundled with HubSpot tiers |
| 5 | People Data Labs | Company / firmographic data | Developers building products on person and company data - enrichment, identity resolution, scoring. | Free tier (1,000 credits/month); production deployments typically run $500-$5,000/month. | Free tier, self-serve |
| 6 | Lusha | Contact data | Individual sellers and small teams that want quick contact lookups without procurement. | Free tier; paid from roughly $36 per user per month. | Free tier, self-serve |
| 7 | Kaspr | Contact data | SMB and EU teams prospecting directly from LinkedIn. | Free tier; paid from roughly $49 per user per month. | Free tier, self-serve |
| 8 | UpLead | Contact data | Teams that prioritize verified-email accuracy over raw database size. | From roughly $99/month; credit-based, no seat minimums. | 7-day free trial |
| 9 | Coresignal | Bulk / raw web data | Data teams and investors buying bulk company, employee, and job-posting datasets. | Sales-led; entry deals start around $1,000/month with credit metering. | Sample datasets on request |
| 10 | Bombora | Intent data | Marketing teams running topic-based account targeting at scale. | Sales-led; mid-five-figure annual commitments are typical. | No public trial |
| 11 | G2 Buyer Intent | Intent data | BOFU plays: knowing which accounts are comparing you on the review site that matters. | Annual licenses typically $20k-$60k depending on category presence. | Limited self-serve view of your own profile |
| 12 | HG Insights | Technographic data | Enterprise vendors sizing markets and targeting by verified installed technology. | Enterprise sales-led; five-figure annual commitments are standard. | No public trial |
| 13 | BuiltWith | Technographic data | Web-technology lookups and lead lists filtered by detected website stack. | Public pricing from $295/month; no per-seat fees. | Free single-site lookups |
| 14 | JobsPipe | Hiring-signal / jobs data | Teams that want job postings as data: the earliest demand signal, or the supply layer for a product. | Free tier with monthly credits; paid plans from $49/month. | Free tier, self-serve |
| 15 | TheirStack | Hiring-signal / jobs data | Sales teams that want hiring signal pre-joined with technographics in a prospecting UI. | Self-serve tiers starting in the low three figures monthly. | Free tier available |
| 16 | Ocean.io | Company / firmographic data | Lookalike targeting: finding companies that resemble your best customers. | Sales-led; typical commitments run low-five-figures annually. | Demo via sales |
How to choose
Match the vendor to the data type your motion is missing, not to the biggest logo. Three decisions resolve most evaluations:
Pick a contact-data vendor. ZoomInfo for enterprise US coverage, Apollo for value, and Cognism for EU and GDPR-sensitive motions.
Pick signal data. Bombora for topic-level research signal, G2 for accounts already shortlisting. The full landscape is in our intent data providers comparison, and the technology-targeting angle in the technographic data providers guide.
Pick hiring-signal data. JobsPipe is the focused data layer; TheirStack wraps a similar signal in a prospecting UI. Job postings are budget decisions made public - they fire 1-2 quarters before any research-based signal can.
The 16 B2B data providers
Best for: Enterprise sales orgs that want the deepest US contact database with workflow tooling attached.
Sales-led, seat-based; serious usage typically runs $30k+/year.
Limited trial via sales
- The largest US B2B contact database - direct-dial and email coverage is the benchmark.
- Intent, enrichment, and engagement tooling bundled into one platform.
- Mature Salesforce, Outreach, and HubSpot integrations.
- Pricing is opaque, seat-based, and climbs fast with add-ons.
- Annual contracts with aggressive auto-renewal terms are a recurring complaint.
- EU coverage and GDPR posture lag European-first competitors.
The incumbent for a reason. If budget allows and your market is US-centric, ZoomInfo is the default - just negotiate hard and buy only the modules you will use.
Best for: Startups and mid-market teams that want contacts plus sequencing in one affordable tool.
Free tier; paid plans from roughly $49 per user per month, billed annually.
Free tier, self-serve
- Best price-to-coverage ratio in the category - a genuinely usable free tier.
- Engagement layer (sequences, dialer) built in, so small teams skip a second tool.
- Self-serve signup and transparent public pricing.
- Data accuracy is a step below ZoomInfo and Cognism, especially for phone numbers.
- Credit limits on lower tiers surprise teams that scale usage.
- The all-in-one shape means each piece is good, not best-in-class.
The value pick. For most teams under 50 sellers, Apollo's bundle covers the whole outbound workflow at a fraction of incumbent pricing.
Best for: EU-focused sales teams that need GDPR-clean contact data with strong mobile coverage.
Sales-led, seat-based; mid-four-figure to low-five-figure monthly commitments are typical.
Free trial on request
- The strongest EU contact coverage and the cleanest GDPR posture in the category.
- Phone-verified mobile numbers (Diamond Data) for call-heavy motions.
- Bombora-powered intent bundled in.
- US coverage trails ZoomInfo and Apollo.
- No self-serve tier - evaluation requires a sales cycle.
- Intent layer is resold, not proprietary.
The European ZoomInfo. If your pipeline is EU-heavy or your legal team blocks US-scraped contact data, Cognism is the shortlist.
Best for: HubSpot-centric teams that want enrichment and form-shortening natively in their CRM.
Credit-based through HubSpot; entry packages start in the low hundreds monthly.
Bundled with HubSpot tiers
- Clean, well-normalized firmographic enrichment with excellent domain-to-company resolution.
- Deep HubSpot integration since the acquisition - enrichment happens where the records live.
- Reveal-style visitor identification feeds inbound workflows.
- The standalone API product has been progressively folded into HubSpot - non-HubSpot users lose access paths.
- Contact-level data is thinner than dedicated contact providers.
- Credit pricing makes high-volume enrichment expensive.
Still the cleanest firmographic enrichment data, but the HubSpot absorption means non-HubSpot stacks should evaluate People Data Labs instead.
Best for: Developers building products on person and company data - enrichment, identity resolution, scoring.
Free tier (1,000 credits/month); production deployments typically run $500-$5,000/month.
Free tier, self-serve
- Developer-first: clean REST API, transparent docs, public pricing, generous free tier.
- 3B+ person profiles and broad company coverage for build-your-own workflows.
- Flexible delivery - API, bulk, and warehouse-native.
- You build the workflow - there is no UI for sales teams.
- Freshness varies across the dataset; verify critical fields before acting on them.
- Jobs data is a secondary slice, not a first-class feed.
The engineer's choice for person and company data. Pair it with a focused feed for any surface where freshness is critical - see our full JobsPipe vs People Data Labs comparison.
Best for: Individual sellers and small teams that want quick contact lookups without procurement.
Free tier; paid from roughly $36 per user per month.
Free tier, self-serve
- Fast, lightweight, prosumer-friendly - the browser extension is the product.
- Transparent self-serve pricing.
- Good direct-dial accuracy for US prospects.
- Database breadth trails the platform vendors.
- Thin firmographic and account-level context.
- Credit model gets expensive at team scale.
Right for individual reps and small teams doing targeted prospecting. Outgrown quickly by teams that need list-building at volume.
Best for: SMB and EU teams prospecting directly from LinkedIn.
Free tier; paid from roughly $49 per user per month.
Free tier, self-serve
- LinkedIn-first workflow - enrich profiles as you browse.
- Strong EU phone coverage (Cognism owns Kaspr, and the data shows it).
- Simple self-serve onboarding.
- Account-level data is minimal - this is a contact tool, not an account intelligence platform.
- API access is limited compared to developer-first vendors.
- US coverage trails EU coverage.
The EU counterpart to Lusha. Good entry point for LinkedIn-driven prospecting; not a data infrastructure choice.
Best for: Teams that prioritize verified-email accuracy over raw database size.
From roughly $99/month; credit-based, no seat minimums.
7-day free trial
- Real-time email verification at export - the bounce-rate guarantee is credible.
- Pay-as-you-go credits without annual lock-in.
- Technographic filters included on standard plans.
- Smaller database than the platform incumbents.
- Limited workflow tooling - export and go.
- Phone coverage is thinner than email coverage.
The accuracy-first pick for email-led outbound on a budget. Fits teams that treat data as a list source rather than a platform.
Best for: Data teams and investors buying bulk company, employee, and job-posting datasets.
Sales-led; entry deals start around $1,000/month with credit metering.
Sample datasets on request
- Deep historical archives - companies back to 2016, jobs back to 2020.
- Bulk delivery in Parquet, CSV, JSONL plus warehouse integrations.
- Enterprise procurement support: SOC2, DPAs, account managers.
- Sales-led motion and four-figure entry point exclude smaller teams.
- Real-time freshness is secondary to bulk depth.
- Source attribution is aggregated, not explicit.
The bulk-data heavyweight. Right when you are training models or running longitudinal research; wrong when you need a live, self-serve feed. See our full JobsPipe vs Coresignal comparison.
Best for: Marketing teams running topic-based account targeting at scale.
Sales-led; mid-five-figure annual commitments are typical.
No public trial
- The largest B2B publisher co-op - the broadest content-consumption dataset available.
- Stable topic taxonomy you can build durable workflows on.
- Feeds most other intent products under the hood.
- Account-level only - you still need a contact provider to act.
- Signal fires after research has started; competitors may already be in the deal.
- Opaque, procurement-heavy pricing.
The category-defining intent source. For the full intent landscape, including where hiring-signal fits, see our intent data providers comparison.
Best for: BOFU plays: knowing which accounts are comparing you on the review site that matters.
Annual licenses typically $20k-$60k depending on category presence.
Limited self-serve view of your own profile
- The highest-intent signal available - comparison-page views are two clicks from purchase.
- Competitor-profile views enable displacement campaigns.
- Native CRM and MAP integrations.
- Coverage limited to accounts that browse G2.
- Pricing is tied to your G2 presence, creating an upsell loop.
- Not a top-of-funnel source - narrow by design.
Essential in categories where G2 is the authority. Pair with an earlier-funnel signal; the two ends of the buying cycle need different data.
Best for: Enterprise vendors sizing markets and targeting by verified installed technology.
Enterprise sales-led; five-figure annual commitments are standard.
No public trial
- Contract-and-document-derived technographics - higher confidence than crawl-only detection.
- IT spend estimates alongside install data for market sizing.
- Strong coverage of enterprise infrastructure vendors.
- Enterprise pricing excludes small teams.
- Coverage skews to large companies - SMB stacks are thinner.
- Data delivery is platform-and-report shaped more than API-first.
The enterprise technographics standard. For self-serve alternatives, our technographic data providers guide covers the full field.
Best for: Web-technology lookups and lead lists filtered by detected website stack.
Public pricing from $295/month; no per-seat fees.
Free single-site lookups
- The longest-running web-technology index - historical adoption data back over a decade.
- Simple public pricing and unlimited results on paid plans.
- Free lookups make spot checks easy.
- Detects website-visible technology only - backend and internal tools are invisible to it.
- Contact data is bolt-on quality.
- The interface shows its age.
Best-in-class for what a crawler can see. Combine with a hiring-signal source to catch the stack that never touches the homepage - job postings name backend tools crawlers cannot detect.
Best for: Teams that want job postings as data: the earliest demand signal, or the supply layer for a product.
Free tier with monthly credits; paid plans from $49/month.
Free tier, self-serve
- First-class jobs data: 30+ ATS and job-board sources normalized into one schema with explicit source attribution.
- Hiring signal fires 1-2 quarters before content or review intent - a budget decision made visible.
- Self-serve API and webhooks; public pricing; no procurement cycle to start.
- Jobs and hiring signal only - no contact data, so pair it with a contact provider to act on the signal.
- A leading indicator by nature: acting on it means nurture and tiering, not same-week closing.
- 12-month retention; bulk-historical use cases fit Coresignal better.
We built JobsPipe because hiring is the strongest observable signal of capital allocation, and most B2B data stacks are blind to it. If your trigger is 'they are hiring the team that uses our product', this is the layer that sees it first.
Best for: Sales teams that want hiring signal pre-joined with technographics in a prospecting UI.
Self-serve tiers starting in the low three figures monthly.
Free tier available
- Job postings, technographics, and intent combined into one prospecting surface.
- Strong technology extraction from job descriptions.
- Self-serve onboarding with an API available.
- The UI is the product - raw-data workflows fit a pure API better.
- Source attribution is abstracted compared to per-source feeds.
- Pricing scales quickly with query volume.
The closest peer to JobsPipe, shaped for SDRs rather than developers. Our JobsPipe vs TheirStack page covers the honest split.
Best for: Lookalike targeting: finding companies that resemble your best customers.
Sales-led; typical commitments run low-five-figures annually.
Demo via sales
- Lookalike modeling on real firmographic and web-content features, not just industry codes.
- Good European company coverage.
- Useful for TAM discovery beyond keyword-based lists.
- Narrower use case than general-purpose providers.
- Contact data is secondary.
- Sales-led evaluation only.
A specialist pick. Strong when list-building has plateaued on filters and you need similarity search; not a first data vendor.
Hiring-signal data: the category most lists skip
Every established B2B data category describes a company’s present: who works there, what it runs, what it is reading. Job postings describe its immediate future - the teams it has budgeted to build and, by extension, the tools those teams will need.
A posting is a public artifact of an internal decision that already cleared finance and headcount planning. That makes hiring data the earliest reliable buying signal available, and one of the few that is fully public and source-attributable: every record traces to a specific posting on a specific careers page. It also enriches the other categories - postings name the backend technologies that website crawlers like BuiltWith structurally cannot see.
We built JobsPipe as the data layer for exactly this: 30+ ATS and job-board sources, one normalized schema, explicit source attribution, and webhooks on new postings. The full funnel-stage analysis lives in our intent data providers comparison.
FAQ
What is a B2B data provider?+
A B2B data provider sells structured information about companies and the people who work at them - contact details, firmographics, technographics, intent signals, or hiring activity - used by sales, marketing, and product teams to find, prioritize, and reach business customers. Providers differ less on quality than on which of those data types they actually specialize in.
What types of B2B data are there?+
Six main types: contact data (emails, phone numbers), firmographic data (company size, industry, funding), technographic data (the software a company runs), intent data (what a company is researching), hiring-signal data (what a company is staffing, from job postings), and bulk raw web data (large datasets you model yourself). Most vendors lead with one type and bolt on others.
How much does B2B data cost?+
The range is wide. Self-serve tools start free or under $100/month (Apollo, Lusha, JobsPipe, People Data Labs). Mid-market platforms run mid-four to low-five figures monthly (Cognism, UpLead at volume). Enterprise platforms and bulk data vendors run $20k to well past $100k annually (ZoomInfo, Bombora, HG Insights, Coresignal, G2). Seat-based pricing dominates sales tools; credit or request pricing dominates APIs.
What is the best free B2B data provider?+
Depends on the data type. Apollo has the most usable free tier for contact data. People Data Labs gives 1,000 free enrichment credits monthly. BuiltWith offers free single-site technology lookups. JobsPipe's free tier includes monthly credits for jobs and hiring-signal data. Fully free coverage at production volume does not exist in this market - free tiers are for evaluation.
What is hiring-signal data and why is it in this list?+
Hiring-signal data treats a company's job postings as structured evidence of what it is building and buying. A company posting 20 SDR roles is about to buy sales tooling; one hiring platform engineers is about to buy infrastructure. Because a posting reflects budget already approved internally, it leads content-based intent by one to two quarters. Most B2B data lists omit the category because it is newer than the contact-data incumbents.
How should I evaluate B2B data quality before buying?+
Test against ground truth you already have. Pull 200 accounts you know well, run them through the provider's trial or free tier, and measure field-level accuracy on the attributes you will actually use - not overall match rate, which vendors optimize for. For contact data, check bounce and wrong-number rates. For signal data (intent, hiring), check whether the events that mattered for your last 20 closed-won deals were visible.
Why does JobsPipe include itself in this list?+
Because pretending a vendor-published comparison isn't from a vendor helps no one. We list ourselves at #14 in our own category with the same pros, cons, and verdict format as everyone else, including the honest limitation that we sell no contact data. The list exists because buyers keep asking how hiring-signal data fits next to the incumbents.
Methodology
Every vendor on this page was evaluated on the same five axes, scored against publicly available product information, pricing disclosures, and vendor documentation. JobsPipe is the publisher of this page; we’ve listed ourselves at #14 with the same pros, cons, and verdict format as every other vendor.
- Data specialization: what the vendor is actually best at, scored against its own documentation and third-party reviews rather than its homepage claims.
- Coverage and accuracy: published database sizes, verification methods, and independent accuracy benchmarks where they exist.
- Developer experience: API quality, documentation, self-serve access, and webhook support.
- Pricing transparency: whether real pricing is visible without a sales call and whether a free or trial path exists.
- Compliance posture: GDPR and CCPA positioning, data sourcing disclosures, and DPA availability.
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