Company data providers: rankings and buying guide for 2026
By Jan Suski, six years working in digital. How the scoring works.
Company data providers sell structured records about businesses rather than about the people inside them: firmographics, ownership, funding rounds, technology signals, hiring and financials, delivered by API or dataset.
The buyers are engineering, data and strategy teams building something, not reps working a list. That distinction decides which vendors below make sense, and the data providers guide maps it against the other six categories.
Monthly deterioration in data accuracy across this category. Refresh frequency matters more here than raw record counts, and a dataset bought in January is a different dataset by March.
Quick comparison of company data vendors
Ten providers with the record type each one is strongest on, what entry costs, and who the data suits.
| # | Provider | Strongest data | Entry price | Best fit |
|---|---|---|---|---|
| 1 | Coresignal | 500+ company fields, employee and jobs data | Free tier, then from $49 a month | Data teams building products on company data |
| 2 | Bright Data | Public web data at scale | From $2.50 per 1,000 records | Engineering teams wanting raw inputs |
| 3 | People Data Labs | Company and person datasets | Free tier, then from $98 a month | Product teams embedding enrichment |
| 4 | Bureau van Dijk | Corporate ownership and financials | Quoted, enterprise | Risk, compliance and investment analysis |
| 5 | OpenCorporates | Legal entity registry records | From £2,250 a year | Compliance teams needing the official record |
| 6 | Crunchbase | Funding rounds and private company data | $20,000 median* | Teams tracking funded companies |
| 7 | Global Database | International company intelligence | Quoted | Teams needing coverage outside the US |
| 8 | MixRank | Technology signals with history | Quoted | Technographic tracking over time |
| 9 | ZoomInfo | Company plus contact data | $33,500 median* | Sales and marketing teams |
| 10 | LinkedIn Sales Navigator | Member-declared company and role data | Quoted per seat | Relationship-led research |
Medians marked * are anonymised buyer-reported contract values published by Vendr, not vendor list prices. Everything else is the price the vendor publishes itself.
What company data providers offer
Company data providers aggregate information from public records, company websites, social media and commercial partnerships, then structure it so a machine can read it.
Six data categories cover almost everything sold in this market.
Firmographic, employee and job postings data
Firmographic data includes company name, location, size, industry, revenue and founding year. It is the base layer every other dataset attaches to.
Employee data covers headcount, seniority mix, function split and movement over time. Jobs data and job postings data show what a company is hiring for right now, which is the earliest public signal of a strategy change.
Company data can reveal competitor moves and hiring trends before either is announced. Job boards are the collection point, and the lag between a role appearing and a plan existing is usually months.
Registry, ownership and financial data
Legal entity records come from company registries: incorporation, officers, filings, status. This is the only company data with an official source behind it.
Ownership data maps corporate structures, parents and subsidiaries. Financial data encompasses metrics such as company revenue and profitability, while financial and risk data includes credit scores, payment history and bankruptcy records.
Technographic data provides insights into the technology stack a company uses, and intent data reveals behavioural signals indicating interest in a category. Both are inferred rather than reported, which is worth remembering when a vendor prices them like registry data.
How to choose a company data provider
Businesses evaluate data providers on freshness, accuracy and compliance, in that order. The right company data provider depends on what you are building rather than on which database is largest.
Data freshness and the cost of inaccurate data
Top providers update records in real-time or daily. Coresignal provides real-time data updates every six hours; Global Database updates many records within 24 hours; MixRank updates monthly while tracking over five years of history.
Those are three different products. Six-hour refresh suits an application; monthly with deep history suits trend analysis; neither is better in the abstract.
Inaccurate data wastes time and resources, and at 15% monthly deterioration a dataset bought in January is a different dataset by March. Ask what percentage of records changed in the last refresh, not when the last refresh ran.
Ask for a data sample
Providers should allow access to data samples before purchase, and the ones that refuse are telling you something about data quality.
Assess data quality on your own accounts rather than theirs. Pull a data sample of 100 companies you already know, then check data depth field by field: how many have revenue, how many have a working website, how many have employee counts within range of the truth.
Check data structure while you are there. Two providers can offer the same data points and deliver them in formats that differ by a week of engineering work.
How you integrate company data
API integrations allow direct access for integration into existing software systems, which is how most company data gets consumed. Bulk datasets suit analysis; APIs suit applications; natural language search suits analysts who do not write queries.
Coresignal supports natural language queries for data retrieval, which is unusual in this market and useful for teams without a data engineer to hand.
Ethical data collection matters commercially as well as legally. Ask how public web data was gathered, under which terms, and what happens to your access if a source changes its policy.
Top company data providers, ranked
Ranked on data depth, refresh frequency, delivery flexibility and how much engineering effort sits between the contract and a usable record.
Coresignal
Best fit: data teams building products or models on company data, who need breadth and a refresh cycle measured in hours.
Coresignal offers over 500 structured company data fields across 75 million company profiles and more than 839 million employee profiles, refreshed every six hours.
Key features
Company, employee and jobs data in one schema; 500+ fields per company record; API, bulk datasets and natural language search; historical data for trend work; company data supports AI by providing structured real-world context.
Pricing
Free plan, Starter from $49 a month, Pro from $800 and Premium from $1,500. Yearly billing takes 20% off, and per-record rates run $0.196 down to $0.005.
Why it's ranked #1. The combination of field depth, six-hour refresh and three delivery methods is unmatched here. It loses nothing to the enterprise platforms except a sales-facing interface, which its buyers do not want.
Bright Data
Best fit: engineering teams that want public web data as raw material and will structure the signal themselves.
Bright Data collects public web data at scale and delivers it as feeds and datasets rather than as an application. Bright Data suits teams who have already decided what to build.
Key features
Web scraping infrastructure across a wide domain set; structured data output from unstructured sources; company websites, job boards and product listings; scheduled refreshes; compliance tooling around collection.
Pricing
Datasets start at $2.50 per 1,000 records, so 100,000 records costs $250. Subscribing to refreshes cuts the per-record rate by up to 80%.
Why it's ranked #2. The most flexible source here and the least finished. It ranks below Coresignal because you are buying collection rather than a curated company database.
People Data Labs
Best fit: product teams embedding company and person enrichment inside their own software.
People Data Labs sells datasets and an API covering companies and individuals, built for developers rather than for analysts.
Key features
Company and person records from multiple sources; API-first delivery with predictable schemas; bulk files for offline work; global data coverage; documented match logic.
Pricing
The free plan gives 100 records a month. Pro starts at $98 a month for 350 records & Enterprise is quoted. Annual billing takes 20% off.
Why it's ranked #3. Cleanest developer experience in this ranking. Field depth per company trails Coresignal, which is the gap between third and first.
Bureau van Dijk
Best fit: risk, compliance and investment analysis teams that need ownership structures and audited financials rather than growth signals.
Bureau van Dijk, part of Moody's, compiles company financials and corporate ownership across a global database of private and public entities.
Key features
Corporate ownership and subsidiary mapping; financial statements from filings; credit and risk indicators; cross-border entity linking; standardised accounts across jurisdictions.
Pricing
Custom pricing, enterprise, quoted by coverage and seats.
Why it's ranked #4. The strongest financial and ownership data available, and the least useful for anything resembling lead generation. Depth in one direction.
OpenCorporates
Best fit: compliance teams that need the official registry record rather than an aggregator's interpretation of it.
OpenCorporates publishes legal entity data sourced directly from company registries, with provenance attached to each record.
Key features
Registry-sourced incorporation and status data; officer and director records; jurisdiction coverage across many countries; API and bulk access; source citation on every field.
Pricing
Essentials is £2,250 a year for 500 API calls a month, Starter £6,600 for 2,500, Basic £12,000 for 5,000. Bulk delivery by SFTP is quoted separately.
Why it's ranked #5. Provenance is its entire proposition, and no commercial aggregator matches it on that. Coverage of anything beyond the legal record is thin, which caps it here.
Crunchbase
Best fit: teams whose trigger is a funding round rather than a firmographic threshold.
Crunchbase covers private company data: funding rounds, investors, acquisitions and headcount movement that filings-based sources never see.
Key features
Funding history with investors and amounts; acquisition records; headcount and hiring trends; saved searches with alerts; API access on the enterprise tier.
Pricing
Free search sits under paid Pro and Business tiers. Vendr's average negotiated contract is $20,000 across 73 deals.
Why it's ranked #6. Best private-market event coverage and the cheapest published entry point here. Narrow field depth outside funding is what keeps it mid-table.
Global Database
Best fit: teams whose coverage problem is geographic rather than structural.
Global Database offers international company intelligence and updates many records within 24 hours, which is fast for a provider working across this many jurisdictions.
Key features
Company records across international markets; financial and credit indicators; contact data alongside firmographics; 24-hour refresh on much of the database; API and platform access.
Pricing
Custom pricing by market and coverage.
Why it's ranked #7. Global coverage with a genuine refresh cycle is rarer than it should be. Field depth per record trails the specialists above it.
MixRank
Best fit: teams tracking technology adoption over time rather than taking a snapshot.
MixRank updates its data monthly and tracks over five years of history, which makes it a trend source rather than a real-time one.
Key features
Technographic data on tech stack by company; five-plus years of historical data; mobile and web signals; API delivery; change detection across the tracked period.
Pricing
Custom pricing by dataset and volume.
Why it's ranked #8. The history is the product, and nothing above it goes back as far on technology signals. Monthly refresh rules it out for anything operational.
ZoomInfo
Best fit: sales and marketing teams that want company data with contact data attached and a CRM integration already built.
ZoomInfo is known for an expansive, accurate database that integrates directly with popular CRM systems, which makes it the default choice for revenue teams and an expensive one for data teams.
Key features
Company records with contact data; intent signals; technographic data; org charts; native CRM integration and API access.
Pricing
Quoted per seat with credit allocations, and there's no free plan. Vendr's buyer-reported data puts the median contract at $33,500 across 1,567 purchases, spanning $7,200 to $155,460, with 22% knocked off list on average.
Why it's ranked #9. For a sales team it would rank first; for anyone buying company data as raw material it is the wrong shape and the wrong price. Our B2B data providers ranking judges it on that footing.
LinkedIn Sales Navigator
Best fit: researchers who need current role and company detail and are willing to work inside one interface.
Sales Navigator runs on member-declared data, which makes company headcount and role information unusually current. It exports nothing.
Key features
Company and people search with advanced filters; headcount and growth indicators; job change alerts; shared-connection paths; CRM sync on higher tiers.
Pricing
Published per-seat plans billed annually, with a free trial.
Why it's ranked #10. Genuinely fresh data locked behind a screen. Without export or API it cannot function as a data source, which is what this ranking is about.
Company data enrichment in the CRM
Data enrichment services update and clean existing records in a business's CRM, which is usually a better first purchase than buying new records.
Company data enrichment fills the fields nobody completed at form-fill: industry, employee data, revenue band, tech stack. Existing data becomes usable rather than being replaced.
Real time data enrichment on record creation is the version that compounds. Every account entering the CRM arrives complete, so the decay problem starts from a better baseline.
High quality data in a CRM changes what sales and marketing teams can segment on. Accurate firmographic data is what separates a target account list from a spreadsheet of company names, and the most accurate firmographic data comes from providers that refresh in hours rather than quarters.
What a company database is used for beyond sales
Company data providers are essential for sales prospecting, market research and risk management, and the last two are where this category differs from a contact database.
Market mapping. A complete company database lets you size a segment properly: how many companies exist at what revenue band in which geography. Market intelligence work starts here, and guesswork starts when the data does not cover the long tail.
Investment analysis. Private company data, funding rounds and ownership structures feed diligence on targets that publish nothing. Predictive analytics on hiring and technology signals extend that to companies with no financial disclosure at all.
Risk assessment. Credit indicators, bankruptcy records and ownership chains support supplier and counterparty checks. Compliance teams need the registry record rather than an aggregator's best guess.
AI training. Company data supports AI by providing structured real-world context, which is why several providers here now sell explicitly to model builders rather than to revenue teams.
Companies use market intelligence data to identify industry trends and perform competitive analysis, and a company database with historical data does that better than one that only holds the present.
Company data providers against a B2B data provider
The categories overlap enough to confuse a shortlist. A b2b data provider sells contact data with company records attached, priced per seat and built for a rep. Business data providers sell company records with contacts as a secondary field, priced per volume and built for a system.
ZoomInfo and the contact platforms sit in the first group. Coresignal, Bright Data and People Data Labs sit firmly in the second. Crunchbase and Global Database straddle both.
Pick by consumer. If a person reads the record, buy the sales tool. If code reads it, buy the dataset, because paying per seat for data your application consumes is the most common overspend in this market.
Business needs decide the data strategy, not the vendor's category page. Teams that want both usually run one of each rather than compromising on a single vendor that does neither well.
Company data providers FAQ
What is a company data provider?
A vendor that collects, structures and sells information about businesses: firmographics, ownership, financials, technology, hiring and funding. Delivery is by API, bulk dataset or platform, and buyers range from sales teams to model builders.
Which company database offers the most accurate firmographic data?
Accuracy depends on geography and company size more than on vendor. Coresignal refreshes every six hours across 75 million company profiles; Bureau van Dijk is stronger on financials for entities that file them; OpenCorporates is definitive on legal status because it cites the registry. Test all three on your own segment before deciding.
How do I integrate company data into my CRM?
Through a native integration where one exists, or through an API that writes into the account object on creation and on a schedule. Bulk file imports work for a one-off backfill and fail as an ongoing process, because nobody remembers to run them.
What do company data providers offer that contact databases do not?
Ownership structures, registry records, financials, funding history and technology signals with history. A contact database gives you people at companies; a company database gives you the companies themselves, including ones nobody is selling to.
How fresh should company data be?
Depends on use. Operational systems need daily or better, given data accuracy can deteriorate by 15% monthly. Market mapping and investment analysis tolerate monthly, and benefit more from depth of historical data than from recency.
Do company data providers offer free trials?
Most offer a data sample rather than a free trial, and a few offer a free plan with limited volume. Insist on the sample against your own list, since a vendor-selected sample tells you what the vendor is good at rather than what you need.
Bottom line
Buy for the consumer of the data and the refresh cycle it needs.
Coresignal for depth and speed, Bright Data for raw collection, People Data Labs for embedded enrichment, Bureau van Dijk for ownership and financials, OpenCorporates for the legal record.
Crunchbase for funding triggers, Global Database for international coverage, MixRank for technology history, ZoomInfo and Sales Navigator if a human is reading.
Then test on companies you already know. Every provider on this list looks identical in a demo and different on your own data.
Compliance, licensing and data volume
Company data is less exposed to data privacy regulations than contact data, because a business record is not a person. The exceptions matter, and they are where most teams get caught.
Officer and director records, employee profiles and anything naming an individual fall back under GDPR and CCPA regardless of the dataset they arrived in. A company dataset carrying named executives is personal data with a different label.
How data volume changes the price
Most company data solutions price on data volume rather than seats: records returned, API calls made, or rows delivered per month. That inverts the economics you are used to from sales tools.
Model it before signing. An application enriching every signup consumes a predictable volume; an analyst exploring consumes an unpredictable one, and the second pattern is where credit models get expensive.
Ask what happens to data you already pulled if the contract ends. Perpetual rights on delivered records cost more upfront and cost far less than re-licensing a dataset you have already built on.
Where detailed data pays for itself
Detailed data at the field level is what separates a working segmentation from an approximate one. Revenue bands, employee counts and industry codes that are present on 40% of records produce target accounts lists that are wrong in ways nobody notices.
The same fields drive sales and marketing strategies downstream. Territory design, scoring models and campaign targeting all inherit whatever gaps the underlying company data carries, and no amount of buyer intent data compensates for not knowing how big a company is.
Pipeline follows. A sales pipeline built on accounts that do not match the ICP converts worse at every stage, and the diagnosis usually lands on the reps rather than on the dataset that produced the list.