100+ datasets found
  1. d

    US Data Corporation - US Business Database with 17 Million records

    • datarade.ai
    Updated Dec 19, 2019
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    US Data Corporation (2019). US Data Corporation - US Business Database with 17 Million records [Dataset]. https://datarade.ai/data-products/business-data
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    Dataset updated
    Dec 19, 2019
    Dataset authored and provided by
    US Data Corporation
    Area covered
    United States
    Description

    With over 17 million business records, US Data Corporation’s business lists provide accurate and deliverable information on American businesses, from home-based operations all the way up to Fortune 500 companies. Our business database contains thousands of listings not available through other list providers.

    US Data’s comprehensive business lists enable our customers to get their message in front of key decision-makers at the drop of a hat. We offer an impressive array of business targeting selects that will flawlessly pinpoint your ideal audience, guaranteeing that your B2B marketing campaigns reach only the most qualified prospects.

    US Data’s fresh business lists, combined with meticulous data hygiene practices and the most advanced targeting techniques in the industry, will enable your marketing efforts to reach their full potential and maximize your ROI.

  2. d

    Listing of All Businesses

    • catalog.data.gov
    • data.lacity.org
    • +2more
    Updated Mar 22, 2025
    + more versions
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    data.lacity.org (2025). Listing of All Businesses [Dataset]. https://catalog.data.gov/dataset/listing-of-all-businesses
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.lacity.org
    Description

    Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

  3. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Iceland, Georgia, Antigua and Barbuda, Korea (Democratic People's Republic of), Suriname, Montserrat, United Kingdom, Dominican Republic, Guam, Togo
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  4. U

    Directory of London Businesses

    • data.ubdc.ac.uk
    xls
    Updated Nov 8, 2023
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    Greater London Authority (2023). Directory of London Businesses [Dataset]. https://data.ubdc.ac.uk/dataset/directory-of-london-businesses
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    xlsAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Greater London Authority
    Area covered
    London
    Description

    A list of businesses located in London showing a range of information including company name, address, postcode, local authority, and SIC code (industry).

    The Free Company Data Product is a downloadable data snapshot containing basic company data of live companies on the register. The version available from Companies House has all UK business and is available to download in a series of Zip folders.

    The London cut available to download here, was created using a postcode list. Therefore, if there is an error in the postcode, or some other problem caused the postcode listed not to match a London postcode, those business will not be included in the file. Furthermore, inaccuracies in postcodes may mean that no local authority is listed for a company.

    Each entry represents a financial accounts submission of either a whole company or part of one. Some businesses have more than one entry in the directory because they need to submit more than one set of accounts for different parts of their business. Therefore, the number of entries in the directory will be greater than the number of businesses.

    Note, Large file size - the Excel file is around 1 million rows. It loads in Excel 2010.

    Companies House update the latest snapshot within 5 working days of the previous month end. The London file available here was published on 1 January 2015.

  5. Dynamic Small Business Search (DSBS)

    • catalog.data.gov
    • data.wu.ac.at
    Updated Apr 11, 2023
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    Small Business Administration (2023). Dynamic Small Business Search (DSBS) [Dataset]. https://catalog.data.gov/dataset/dynamic-small-business-search-dsbs-4f0da
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    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Description

    The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

  6. Number of databases used by companies worldwide 2021

    • statista.com
    Updated Mar 31, 2023
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    Statista (2023). Number of databases used by companies worldwide 2021 [Dataset]. https://www.statista.com/statistics/1293108/number-of-databases-used-worldwide/
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    Dataset updated
    Mar 31, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    The majority of respondents stated that their company used more than one database for their operations. This indicates the complexity of maintaining security of IT infrastructure at organizations. Microsoft Azure database (67 percent) and Microsoft SQL Server (50 percent) were the most commonly used databases among respondents.

  7. Business Email List | 61.9M+ Verified Business Leads

    • datacaptive.com
    Updated Feb 11, 2025
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    DataCaptive™ (2025). Business Email List | 61.9M+ Verified Business Leads [Dataset]. https://www.datacaptive.com/business-email-list/
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    Dataset updated
    Feb 11, 2025
    Dataset provided by
    DataCaptive
    Authors
    DataCaptive™
    Area covered
    New Zealand, Jordan, Spain, Poland, Ireland, Switzerland, Norway, Greece, United Kingdom, Netherlands
    Description

    Get a high-quality business email list to target potential clients and maximize returns per lead. Reach the intended inbox with personalized messages.

  8. I

    India No of Registered Company

    • ceicdata.com
    Updated Nov 15, 2018
    + more versions
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    CEICdata.com (2018). India No of Registered Company [Dataset]. https://www.ceicdata.com/en/india/registered-company-at-work/no-of-registered-company
    Explore at:
    Dataset updated
    Nov 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Enterprises Statistics
    Description

    India Number of Registered Company data was reported at 1,171,230.000 Unit in 2018. This records a decrease from the previous number of 1,172,583.000 Unit for 2017. India Number of Registered Company data is updated yearly, averaging 152,036.000 Unit from Mar 1957 (Median) to 2018, with 62 observations. The data reached an all-time high of 1,172,583.000 Unit in 2017 and a record low of 26,682.000 Unit in 1962. India Number of Registered Company data remains active status in CEIC and is reported by Ministry of Corporate Affairs. The data is categorized under Global Database’s India – Table IN.OC001: Registered Company: At Work.

  9. d

    New Business List - May

    • catalog.data.gov
    • data.oregon.gov
    • +1more
    Updated Jul 13, 2024
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    data.oregon.gov (2024). New Business List - May [Dataset]. https://catalog.data.gov/dataset/new-business-list-may
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    Dataset updated
    Jul 13, 2024
    Dataset provided by
    data.oregon.gov
    Description

    Businesses registered with the Secretary of State Corporation Division during the month of May

  10. Data from: Edtech in Higher Education: Focus Groups, Database, and Documents...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2023
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    UK Data Service (2023). Edtech in Higher Education: Focus Groups, Database, and Documents on Edtech Companies, Investors and Universities, 2021-2023 [Dataset]. http://doi.org/10.5255/ukda-sn-856729
    Explore at:
    Dataset updated
    2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Description

    These data were generated as part of a two-and-a-half-year ESRC-funded research project examining the digitalisation of higher education (HE) and the educational technology (Edtech) industry in HE. Building on a theoretical lens of assetisation, it focused on forms of value in the sector, and governance challenges of digital data. It followed three groups of actors: UK universities, Edtech companies, and investors in Edtech. The researchers first sought to develop an overview of the Edtech industry in HE by building three databases on Edtech companies, investors in Edtech, and investment deals, using data downloaded from Crunchbase, a proprietary platform. Due to Crunchbase’s Terms of Service, only parts of one database are allowed to be submitted to this repository, i.e. a list of companies with the project’s classification. A report offering descriptive analysis of all three databases was produced and is submitted as well. A qualitative discursive analysis was conducted by analysing seven documents in depth. In the second phase, researchers conducted interviews with participants representing three groups of actors (n=43) and collected documents on their organisations. Moreover, a list of documents collected from Big Tech (Microsoft, Amazon, and Salesforce) were collected to contextualise the role of global digital infrastructure in HE. Due to commercial sensitivity, only lists of documents collected about investors and Big Tech are submitted to the repository. Researchers then conducted focus groups (n=6) with representatives of universities (n=19). The dataset includes transcripts of focus groups and outputs of writing by participants during the focus group. Finally, a public consultation was held via a survey, and 15 participants offered qualitative answers.

  11. Business Data India / Company B2B Data India ( Full Coverage)

    • datarade.ai
    Updated Sep 11, 2021
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    Techsalerator (2021). Business Data India / Company B2B Data India ( Full Coverage) [Dataset]. https://datarade.ai/data-products/19-7-million-companies-in-india-full-coverage-techsalerator
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 11, 2021
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    India
    Description

    With 19.7 Million Businesses in India , Techsalerator has access to the highest B2B count of Data/Business Data in the country. .

    Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

    We cover all cities and regions in India ( example ) :

    Mumbai Maharashtra Delhi Delhi Bangalore Karnataka Hyderabad Telangana Ahmedabad Gujarat Chennai Tamil Nadu Kolkata West Bengal Surat Gujarat Pune Maharashtra Jaipur Rajasthan Lucknow Uttar Pradesh Kanpur Uttar Pradesh Nagpur Maharashtra Indore Madhya Pradesh Thane Maharashtra Bhopal Madhya Pradesh Visakhapatnam[4] Andhra Pradesh Pimpri-Chinchwad Maharashtra Patna Bihar Vadodara Gujarat Ghaziabad Uttar Pradesh Ludhiana Punjab Agra Uttar Pradesh Nashik Maharashtra Ranchi Jharkhand Faridabad Haryana Meerut Uttar Pradesh Rajkot Gujarat Kalyan-Dombivli Maharashtra Vasai-Virar Maharashtra Varanasi Uttar Pradesh Srinagar Jammu and Kashmir Aurangabad Maharashtra Dhanbad Jharkhand Gurgaon[5] Haryana Amritsar Punjab Navi Mumbai Maharashtra Allahabad Uttar Pradesh[6] Howrah West Bengal Gwalior Madhya Pradesh Jabalpur Madhya Pradesh Coimbatore Tamil Nadu Vijayawada Andhra Pradesh Jodhpur Rajasthan Madurai Tamil Nadu Raipur Chhattisgarh Kota[8] Rajasthan Chandigarh Chandigarh Guwahati Assam Solapur Maharashtra Hubli–Dharwad Karnataka Mysore[9][10][11] Karnataka Tiruchirappalli[12] Tamil Nadu Bareilly Uttar Pradesh Aligarh Uttar Pradesh Tiruppur Tamil Nadu Moradabad Uttar Pradesh Jalandhar Punjab Bhubaneswar Odisha Salem Tamil Nadu Warangal[13][14] Telangana Mira-Bhayandar Maharashtra Jalgaon Maharashtra Guntur[15] Andhra Pradesh Thiruvananthapuram Kerala Bhiwandi Maharashtra Tirupati Andhra Pradesh Saharanpur Uttar Pradesh Gorakhpur Uttar Pradesh Bikaner Rajasthan Amravati Maharashtra Noida Uttar Pradesh Jamshedpur Jharkhand Bhilai Chhattisgarh Cuttack Odisha Firozabad Uttar Pradesh Kochi Kerala Nellore[16][17] Andhra Pradesh Bhavnagar Gujarat Dehradun Uttarakhand Durgapur West Bengal Asansol West Bengal Rourkela Odisha Nanded Maharashtra Kolhapur Maharashtra Ajmer Rajasthan Akola Maharashtra Gulbarga Karnataka Jamnagar Gujarat Ujjain Madhya Pradesh Loni Uttar Pradesh Siliguri West Bengal Jhansi Uttar Pradesh Ulhasnagar Maharashtra Jammu[18] Jammu and Kashmir Sangli-Miraj & Kupwad Maharashtra Mangalore Karnataka Erode[19] Tamil Nadu Belgaum Karnataka Kurnool[20] Andhra Pradesh Ambattur Tamil Nadu Rajahmundry[21][22] Andhra Pradesh Tirunelveli Tamil Nadu Malegaon Maharashtra Gaya Bihar Udaipur Rajasthan Karur Tamilnadu Kakinada Andhra Pradesh Davanagere Karnataka Kozhikode Kerala Maheshtala West Bengal Rajpur Sonarpur West Bengal Bokaro Jharkhand South Dumdum West Bengal Bellary Karnataka Patiala Punjab Gopalpur West Bengal Agartala Tripura Bhagalpur Bihar Muzaffarnagar Uttar Pradesh Bhatpara West Bengal Panihati West Bengal Latur Maharashtra Dhule Maharashtra Rohtak Haryana Sagar Madhya Pradesh Korba Chhattisgarh Bhilwara Rajasthan Berhampur Odisha Muzaffarpur Bihar Ahmednagar Maharashtra Mathura Uttar Pradesh Kollam Kerala Avadi Tamil Nadu Kadapa[23] Andhra Pradesh Anantapuram[24] Andhra Pradesh Kamarhati West Bengal Bilaspur Odisha Sambalpur Odisha Shahjahanpur Uttar Pradesh Satara Maharashtra Bijapur Karnataka Rampur Uttar Pradesh Shimoga Karnataka Chandrapur Maharashtra Junagadh Gujarat Thrissur Kerala Alwar Rajasthan Bardhaman West Bengal Kulti West Bengal Nizamabad Telangana Parbhani Maharashtra Tumkur Karnataka Khammam Telangana Uzhavarkarai Puducherry Bihar Sharif Bihar Panipat Haryana Darbhanga Bihar Bally West Bengal Aizawl Mizoram Dewas Madhya Pradesh Ichalkaranji Maharashtra Karnal Haryana Bathinda Punjab Jalna Maharashtra Eluru[25] Andhra Pradesh Barasat West Bengal Kirari Suleman Nagar Delhi Purnia[26] Bihar Satna Madhya Pradesh Mau Uttar Pradesh Sonipat Haryana Farrukhabad Uttar Pradesh Durg Chhattisgarh Imphal Manipur Ratlam Madhya Pradesh Hapur Uttar Pradesh Arrah Bihar Anantapur Andhra Pradesh Karimnagar Telangana Etawah Uttar Pradesh Ambarnath Maharashtra North Dumdum West Bengal Bharatpur Rajasthan Begusarai Bihar New Delhi Delhi Gandhidham Gujarat Baranagar West Bengal Tiruvottiyur Tamil Nadu Pondicherry Puducherry Sikar Rajasthan Thoothukudi Tamil Nadu Rewa Madhya Pradesh Mirzapur Uttar Pradesh Raichur Karnataka Pali Rajasthan Ramagundam[27] Telangana Silchar Assam Haridwar Uttarakhand Vijayanagaram Andhra Pradesh Tenali Andhra Pradesh Nagercoil Tamil Nadu Sri Ganganagar Rajasthan ...

  12. d

    New Business List - December

    • catalog.data.gov
    • data.oregon.gov
    • +2more
    Updated Feb 14, 2025
    + more versions
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    data.oregon.gov (2025). New Business List - December [Dataset]. https://catalog.data.gov/dataset/new-business-list-december
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    Dataset updated
    Feb 14, 2025
    Dataset provided by
    data.oregon.gov
    Description

    Businesses registered with the Secretary of State Corporation Division during the month of December.

  13. More than 1,070,574 Verified Contacts of companies that use Amazon AWS

    • datarade.ai
    Updated Aug 20, 2021
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    DataCaptive (2021). More than 1,070,574 Verified Contacts of companies that use Amazon AWS [Dataset]. https://datarade.ai/data-products/more-than-1-070-574-verified-contacts-of-companies-that-use-a-datacaptive
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 20, 2021
    Dataset authored and provided by
    DataCaptive
    Area covered
    Suriname, Italy, Cyprus, Sweden, Turkmenistan, Pitcairn, Ascension and Tristan da Cunha, Serbia, Bosnia and Herzegovina, Timor-Leste
    Description

    Amazon AWS - Cloud Platforms & Services

    Companies using Amazon AWS

    We have data on 1,070,574 companies that use Amazon AWS. The companies using Amazon AWS are most often found in United States and in the Computer Software industry. Amazon AWS is most often used by companies with 10-50 employees and 1M-10M dollars in revenue. Our data for Amazon AWS usage goes back as far as 2 years and 1 months.

    What is Amazon AWS?

    Amazon Web Services (AWS) is a collection of remote computing services, also called web services that make up a cloud computing platform offered by Amazon.com.

    Top Industries that use Amazon AWS

    Looking at Amazon AWS customers by industry, we find that Computer Software (6%) is the largest segment.

    Distribution of companies using Amazon AWS by Industry

     Computer software - 67, 537 companies  Hospitals & Healthcare - 54, 293 companies  Retail - 39, 543 companies  Information Technology and Services - 35, 382 companies  Real Estate - 31, 676 companies  Restaurants - 30, 302 companies  Construction - 29, 207 companies  Automotive - 28, 469 companies  Financial Services - 23, 680 companies  Education Management - 21, 548 companies

    Top Countries that use Amazon AWS

    49% of Amazon AWS customers are in United States and 7% are in United Kingdom.

    Distribution of companies using Amazon AWS by country

     United Sates – 616 2275 companies  United Kingdom – 68 219 companies  Australia – 44 601 companies  Canada – 42 770 companies  Germany – 31 541 companies  India – 30 949 companies  Netherlands – 19 543 companies  Brazil – 17 165 companies  Italy – 14 876 companies  Spain – 14 675 companies

    Contact Information of Fields Include:-

    • Company Name • Business contact number • Title
    • Name • Email Address • Country, State, City, Zip Code • Phone, Mobile and Fax • Website • Industry • SIC & NAICS Code • Employees Size
    • Revenue Size
    • And more…

    Why Buy AWS Users List from DataCaptive?

    • More than 1,070,574 companies
    • Responsive database • Customizable as per your requirements • Email and Tele-verified list • Team of 100+ market researchers • Authentic data sources

    What’s in for you?

    Over choosing us, here are a few advantages we authenticate-

    • Locate, target, and prospect leads from 170+ countries • Design and execute ABM and multi-channel campaigns • Seamless and smooth pre-and post-sale customer service • Connect with old leads and build a fruitful customer relationship • Analyze the market for product development and sales campaigns • Boost sales and ROI with increased customer acquisition and retention

    Our security compliance

    We use of globally recognized data laws like –

    GDPR, CCPA, ACMA, EDPS, CAN-SPAM and ANTI CAN-SPAM to ensure the privacy and security of our database. We engage certified auditors to validate our security and privacy by providing us with certificates to represent our security compliance.

    Our USPs- what makes us your ideal choice?

    At DataCaptive™, we strive consistently to improve our services and cater to the needs of businesses around the world while keeping up with industry trends.

    • Elaborate data mining from credible sources • 7-tier verification, including manual quality check • Strict adherence to global and local data policies • Guaranteed 95% accuracy or cash-back • Free sample database available on request

    Guaranteed benefits of our Amazon AWS users email database!

    85% email deliverability and 95% accuracy on other data fields

    We understand the importance of data accuracy and employ every avenue to keep our database fresh and updated. We execute a multi-step QC process backed by our Patented AI and Machine learning tools to prevent anomalies in consistency and data precision. This cycle repeats every 45 days. Although maintaining 100% accuracy is quite impractical, since data such as email, physical addresses, and phone numbers are subjected to change, we guarantee 85% email deliverability and 95% accuracy on other data points.

    100% replacement in case of hard bounces

    Every data point is meticulously verified and then re-verified to ensure you get the best. Data Accuracy is paramount in successfully penetrating a new market or working within a familiar one. We are committed to precision. However, in an unlikely event where hard bounces or inaccuracies exceed the guaranteed percentage, we offer replacement with immediate effect. If need be, we even offer credits and/or refunds for inaccurate contacts.

    Other promised benefits

    • Contacts are for the perpetual usage • The database comprises consent-based opt-in contacts only • The list is free of duplicate contacts and generic emails • Round-the-clock customer service assistance • 360-degree database solutions

  14. Business Data Mexico / Company B2B Data Mexico ( Full Coverage)

    • datarade.ai
    Updated Feb 18, 2022
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    Techsalerator (2022). Business Data Mexico / Company B2B Data Mexico ( Full Coverage) [Dataset]. https://datarade.ai/data-products/1-7-million-companies-in-mexico-full-coverage-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 18, 2022
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Mexico
    Description

    With 1.7 Million Businesses in Mexico , Techsalerator has access to the highest B2B count of Data/Business Data in the country.

    Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

    We cover all regions and cities in the country: Aguascalientes Aguascalientes Baja California Ensenada Mexicali Tijuana Baja California Sur La Paz Campeche Campeche Chiapas Comitán San Cristóbal de Las Casas Tapachula Tuxtla Chihuahua Casas Grandes Chihuahua Ciudad Delicias Hidalgo del Parral Juárez Nuevo Casas Grandes Coahuila Ciudad Acuña Monclova Múzquiz Nueva Rosita Piedras Negras Sabinas Saltillo San Pedro Torreón Villa Frontera Colima Colima Manzanillo Tecomán Durango Durango Gómez Palacio Federal District (administrative district) Atzcapotzalco (delegación) Churubusco (neighbourhood) Coyoacán (delegación) Magdalena (delegación) Mexico City Tlalpan (delegación) Villa Obregón (delegación) Xochimilco (delegación) Guanajuato Acámbaro Celaya Cortazar Guanajuato Irapuato León Moroleón Salamanca San Francisco del Rincón San Miguel de Allende Silao Valle de Santiago Guerrero Acapulco Chilpancingo Iguala Taxco Hidalgo Pachuca Tulancingo Jalisco Ameca Arandas Autlán Ciudad Guzmán Guadalajara La Barca Ocotlán Puerto Vallarta Tepatitlán Tlaquepaque Zapopan México Nezahualcóyotl Tlalnepantla Toluca Michoacán Apatzingán Ciudad Hidalgo La Piedad Cavadas Morelia Sahuayo Uruapan Zacapú Zamora Zitácuaro Morelos Cuernavaca Xochicalco Nayarit Tepic Nuevo León Guadalupe Monterrey Oaxaca Juchitán Oaxaca Puebla Atlixco Cholula Matamoros Puebla Teziutlán Querétaro Querétaro Quintana Roo Cancún Chetumal San Luis Potosí Matehuala San Luis Potosí Valles Sinaloa Culiacán Los Mochis Mazatlán Sonora Ciudad Obregón Guaymas Hermosillo Navojoa Nogales San Luis Tabasco Villahermosa Tamaulipas Ciudad Mante Ciudad Victoria Matamoros Nuevo Laredo Reynosa Tampico Tlaxcala Apizaco Tlaxcala Veracruz Ciudad Mendoza Coatzacoalcos Córdoba Cosamaloapan Minatitlán Orizaba Papantla Poza Rica San Andrés Tuxtla Tierra Blanca Tuxpan Veracruz Xalapa Yucatán Mérida Progreso Zacatecas Fresnillo Jerez de García Salinas Zacatecas

  15. d

    Corporations and Other Entities: All Filings

    • catalog.data.gov
    • data.ny.gov
    Updated Mar 22, 2025
    + more versions
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    data.ny.gov (2025). Corporations and Other Entities: All Filings [Dataset]. https://catalog.data.gov/dataset/corporations-and-other-entities-all-filings
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.ny.gov
    Description

    This data contains all Corporations and Other Entity filings in the Department of State electronic database. Each record contains the Department of State ID number, Filing ID, Date Filed, Effective Date, Entity Name, the law under which the filing was made and other pertinent filing information.

  16. Company Relationships Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
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    S&P Global (2020). Company Relationships Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/company-relationships-(7)
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    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Details of the relationships between companies in the S&P Capital IQ universe across 33 distinct relationship types.

  17. Business investment real-time database

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 13, 2025
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    Office for National Statistics (2025). Business investment real-time database [Dataset]. https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/businessinvestmentrealtimedatabase
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Real-time database to accompany revision triangles, by quarter, chained volume measures, seasonally adjusted, UK.

  18. C

    GWCA Business List

    • data.cityofchicago.org
    Updated Mar 25, 2025
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    City of Chicago (2025). GWCA Business List [Dataset]. https://data.cityofchicago.org/widgets/if2z-vr7c
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    kmz, xml, application/geo+json, application/rdfxml, csv, kml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Mar 25, 2025
    Authors
    City of Chicago
    Description

    This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

    Data fields requiring description are detailed below.

    APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

    LICENSE STATUS: 'AAI' means the license was issued.

    Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

    Data Owner: Business Affairs and Consumer Protection

    Time Period: Current

    Frequency: Data is updated daily

  19. Doing Business

    • datacatalog.worldbank.org
    api, databank, html +2
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    Doing Business, The World Bank Group (http://www.doingbusiness.org), Doing Business [Dataset]. https://datacatalog.worldbank.org/dataset/doing-business
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    html, databank, api, zip, utf-8Available download formats
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    The Doing Business project provides objective measures of business regulations and their enforcement across 190 economies. Economies are ranked on their ease of doing business, from 1–190. The rankings are determined by sorting the aggregate scores (formerly called distance to frontier) on 10 topics, each consisting of several indicators, giving equal weight to each topic. More details: http://www.doingbusiness.org.

    NOTE: Doing Business has been discontinued as of 9/16/2021. Click here for more information.

  20. d

    Real-Time Verified Search Fund Data | 200mm US Records | Personal Emails &...

    • datarade.ai
    .csv, .xls
    Updated Jul 23, 2024
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    Wiza (2024). Real-Time Verified Search Fund Data | 200mm US Records | Personal Emails & 100mm Mobile Phone Numbers | Live-Sourced Linkedin Data [Dataset]. https://datarade.ai/data-products/wiza-real-time-verified-search-fund-data-200mm-us-records-wiza
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Jul 23, 2024
    Dataset authored and provided by
    Wiza
    Area covered
    United States
    Description

    Stop relying on outdated and inaccurate databases and let Wiza be your source of truth for all deal sourcing and founder / CEO outreach.

    Why we're different: The search fund market is dynamic and competitive - Wiza is not a static financial database that gets refreshed on occasion. Every datapoint is sourced and verified the moment that you receive the information. We verify deliverability of every single email ahead of providing the data, and we ensure that each person in your dataset has 100% job title and company accuracy by leveraging Linkedin Data sourced through their live Linkedin profile.

    Key Features:

    Comprehensive Data Coverage: Stop contacting the same people as everyone else. Wiza's search fund Data is sourced live, not stored in a limited database. When you tell us the type of company or person you would like to contact, we leverage Linkedin Data (the largest, most accurate database in the world) to find everyone who matches your ICP, and then we source the contact data and company data in real-time.

    High-Quality, Accurate Data: Wiza ensures accuracy of all datapoints by taking a few key steps that other data providers fail to take: (1) Every email is SMTP verified ahead of delivery, ensuring they will not bounce (2) Every person's Linkedin profile is checked live to ensure we have 100% job title, company, location, etc. accuracy, ahead of providing any data (3) Phone numbers are constantly being verified with AI to ensure accuracy

    Linkedin Data: Wiza is able to provide Linkedin Data points, sourced live from each person's Linkedin profile, including Subtitle, Bio, Job Title, Job Description, Skills, Languages, Certifications, Work History, Education, Open to Work, Premium Status, and more!

    Personal Data: Wiza has access to industry leading volumes of B2C Contact Data, meaning you can find gmail/yahoo/hotmail email addresses, and mobile phone number data to contact your potential partners.

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US Data Corporation (2019). US Data Corporation - US Business Database with 17 Million records [Dataset]. https://datarade.ai/data-products/business-data

US Data Corporation - US Business Database with 17 Million records

Explore at:
Dataset updated
Dec 19, 2019
Dataset authored and provided by
US Data Corporation
Area covered
United States
Description

With over 17 million business records, US Data Corporation’s business lists provide accurate and deliverable information on American businesses, from home-based operations all the way up to Fortune 500 companies. Our business database contains thousands of listings not available through other list providers.

US Data’s comprehensive business lists enable our customers to get their message in front of key decision-makers at the drop of a hat. We offer an impressive array of business targeting selects that will flawlessly pinpoint your ideal audience, guaranteeing that your B2B marketing campaigns reach only the most qualified prospects.

US Data’s fresh business lists, combined with meticulous data hygiene practices and the most advanced targeting techniques in the industry, will enable your marketing efforts to reach their full potential and maximize your ROI.

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