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MongoDB users list

Email list of companies using MongoDB

Reach engineering and data platform leaders using MongoDB Atlas or Enterprise Advanced for application data and vector search.

163,863+Companies
1,077,477+Contacts
Updated Oct 7, 2026GDPR · CCPA99% accuracy
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Free MongoDB count + 10 sample records

163,863+ companies · 1,077,477+ contacts available

  • ✓Exact count for your titles, regions and company size
  • ✓10 verified sample records to check quality
  • ✓Price quote within 1 business day
Target regions
Company size

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Trusted by B2B and enterprise revenue teams

IBMRed HatSiemensAbbottReutersimmixGroup

How many companies use MongoDB?

Data InfoMetrix tracks 163,863+ companies running MongoDB as of October 2026, with 1,077,477+ verified contacts at those accounts. The largest groups are SaaS, Financial Services and Retail. Buying decisions usually sit with the CTO, VP of Engineering and CIO. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts163,863+

Organizations detected running MongoDB.

Verified contacts1,077,477+

Direct emails and phone dials for decision-makers.

Primary personasCTO, VP of Engineering, Head of Data Platform

Full buying committee mapped.

Deliverability SLA99%

SMTP-verified, with 1:1 replacement of any email that hard bounces within 30 days.

Data specification · Updated Q4 2026
Technology categoryDevOps & Cloud Infrastructure
Tracked organizations163,863+ verified accounts worldwide
Decision-maker contacts1,077,477+ records with emails, mobile and direct dials
Key rolesCTO, VP of Engineering, Head of Data Platform, platform administrators, IT directors, procurement
Geography180+ countries · country-by-country counts on request
VerificationDNS and script telemetry, 5-stage SMTP handshake, manual research
Refresh cadenceContinuous, 30–45 day maximum record age at delivery
ComplianceGDPR, CAN-SPAM, CCPA and CASL
Delivery24–48 hours as CSV, XLSX or CRM API
Editorial & verification

Researched by the Data InfoMetrix research team. Counts updated October 2026.

How we count and verify data
See 10 records first

Matched to your ICP filters, free.

Market guide

Selling to MongoDB customers

MongoDB is the most widely used document database. Its customers are application developers and platform teams, many of them running MongoDB Atlas in the cloud.

Written by the Data InfoMetrix research team · Updated October 2026

Who runs MongoDB

MongoDB is used by SaaS companies, fintechs, retailers, gaming and media companies and enterprises building modern applications. Options include MongoDB Atlas, the managed cloud service, MongoDB Enterprise Advanced for self-managed deployments and the free Community edition.

Who to contact

The CTO and VP of Engineering own the decision; application architects, backend engineering leads and database or platform teams run it. For Atlas spend, cloud and FinOps owners join the conversation.

When MongoDB accounts are ready to buy

Migrating from relational databases, moving from self-managed to Atlas, adding vector search for AI applications and scaling to multiple regions are the main triggers.

How to segment and approach

Segment by Atlas versus self-managed, by cloud provider and by language and framework. Accounts running MongoDB with Kafka and Kubernetes run large, event-driven systems.

Developers respond to clear technical benefits: performance, security, backups and observability that fit how they already use MongoDB.

Size your MongoDB audience

Pick a region, company size and buying role to estimate how many accounts and contacts you can reach.

Region
Company size
Buying role
Estimated segment✓ 99% SLA
163,863+Target accounts
1,077,477+Direct contacts
Decision-makers35%
Influencers45%
End users20%

Estimates from our current MongoDB dataset. Exact counts come with your quote.

Reach the whole buying committee

A MongoDB account is not one contact. We map the people who evaluate, buy, run and use it across Document Databases & Application Data.

Decision-makersC-suite & sponsors
CTOVP of EngineeringCIOHead of Data Platform
Influencers & adminsEvaluate & configure
Database ArchitectPlatform LeadStaff EngineerDBA Lead
End usersRun it every day
Backend EngineersFull-Stack DevelopersDBAsData Engineers

These are examples. We build records for any department, seniority or custom title.

See exactly what you get

Every record carries 60+ fields, from verified email, direct dial and LinkedIn to full postal address, MongoDB edition, coexisting stack and intent.

Installed tech = MongoDBRegion: GlobalRole: Whole committeeIllustrative sample
ContactBuying roleWork emailDirect dialCompany phoneFaxLinkedIn profileCompanyLinkedIn company pageIndustryAddress 1Address 2CityStateZIP codeCountryMongoDB footprintCoexisting stackIntentStatus
SRSophia ReyesVP of Platform Engineering
Decision Makers.r*****@apexc****.io+1 (415) 55***-****+1 (415) 55***-****+1 (415) 55***-****linkedin.com/in/s***ia-r*********Apex Cloud Systems Inc.linkedin.com/company/apex-cloud-sysEnterprise Software & Cloud SaaS100 Montgomery StSte 1800San FranciscoCA94104United StatesMongoDB Enterprise Cloud & Multi-Region WorkloadsHigh✓ Verified 2026
MWMarcus WebbLead Site Reliability Engineer (SRE)
Influencerm.we****@kensington*********.uk+44 (20) 79***-****+44 (20) 79***-****+44 (20) 79***-****linkedin.com/in/m***us-we********Kensington Global Capital Ltdlinkedin.com/company/kensington-capFinancial Services & Modern FinTech25 Bank St Canary Wharf—LondonGreater LondonE14 5JPUnited KingdomMongoDB Production Cluster & SRE MonitoringHigh✓ Verified 2026
LFLena FischerPrincipal Cloud Infrastructure Architect
Influencerl.fi****@stack****.de+49 (30) 55***-****+49 (30) 55***-****+49 (30) 55***-****linkedin.com/in/l***a-fi********StackLabs Infrastructure GmbHlinkedin.com/company/stacklabs-deCloud Hosting & Distributed SystemsFriedrichstraße 176-179—BerlinBerlin10117GermanyMongoDB Core Platform & Infrastructure as CodeHigh✓ Verified 2026
JOJames O'ConnorDirector of Cloud Operations & DevOps
Decision Makerj.oc****@veloce******.com+1 (312) 55***-****+1 (312) 55***-****+1 (312) 55***-****linkedin.com/in/j***s-oc********Veloce Global Logistics Corplinkedin.com/company/veloce-logisticsEnterprise Supply Chain & Telematics IoT233 S Wacker DrSte 4200ChicagoIL60606United StatesMongoDB Continuous Deployment & Telemetry PipelinesHigh✓ Verified 2026
ALAstrid LindholmHead of Developer Experience & Tooling
Influencera.li****@nordi****.se+46 (8) 55***-****+46 (8) 55***-****+46 (8) 55***-****linkedin.com/in/a***id-li********Nordic Digital Commerce ABlinkedin.com/company/nordicpay-abE-Commerce & High-Volume Retail PlatformsHamngatan 15—StockholmStockholm County111 47SwedenMongoDB Developer Tooling & API NetworkMedium✓ Verified 2026
DVDavid VanceChief Technology Officer (CTO)
Decision Makerd.va****@beacond******.com+1 (703) 55***-****+1 (703) 55***-****+1 (703) 55***-****linkedin.com/in/d***d-va********Beacon Mission Systems Inc.linkedin.com/company/beacon-techDefense, Aerospace & Industrial Automation1850 Towers Crescent Plaza—TysonsVA22182United StatesMongoDB GovCloud / FedRAMP Authorized ClusterHigh✓ Verified 2026
RGRachel Green-CohenDirector of Cloud Infrastructure & DevSecOps
Influencerr.co****@veritas******.org+1 (617) 55***-****+1 (617) 55***-****+1 (617) 55***-****linkedin.com/in/r***el-co********Veritas Health Technologies Inc.linkedin.com/company/veritas-health-sysDigital Health & Clinical Cloud Systems75 Francis St—BostonMA02115United StatesMongoDB Healthcare Dedicated VPC & HIPAA ComplianceMedium✓ Verified 2026
YTYuri TanakaSenior SRE & Cloud Systems Engineer
Practitionery.ta****@biosynth*******.jp+81 (3) 55***-****+81 (3) 55***-****+81 (3) 55***-****linkedin.com/in/y**i-ta********BioSynthetix Genomic Systems KKlinkedin.com/company/biosynthetix-kkLife Sciences & High-Performance Cloud ComputingRoppongi Hills Mori Tower30FTokyoTokyo106-6108JapanMongoDB High-Performance Computing (HPC) Node ClusterMedium✓ Verified 2026
Illustrative rows showing 20 of 60+ fields. Full records are unmasked.

We deliver 60+ data fields per record, including intent data. The sample shows a selection only. Tell us which fields you need, including any that aren't listed here, and we'll add them to your list.

Also available:Seniority & departmentJob functionTenure in roleEmployee countAnnual revenueSIC & NAICS codesParent companyWebsite & domainProduct editionContract & renewal timingIntent topics & scoreEmail verification date

How we prove an account runs MongoDB

No scraped résumés or stale directories. Three layers confirm a live installation before a contact reaches your list. Read our verification protocol

Pillar 1 · Telemetry

Live DNS & script signals

We inspect response headers, DNS MX and CNAME records and live JavaScript bundles to confirm a running MongoDB instance.

DNS · CNAME · MX recordsHTTP headers · JS bundles✓ Verified against live infrastructure
Pillar 2 · Operational intent

90-day hiring signals

We track job requisitions that ask for MongoDB skills, which shows ongoing budget and headcount.

Now hiringMongoDB Administrator
Now hiringMongoDB Architect
Now hiringMongoDB Engineer
Pillar 3 · Human & mailbox QA

Pre-delivery SMTP handshake

Each email is tested against the destination mail server, and titles are checked against current company rosters.

SMTP check ✓LinkedIn match ✓Title verified ✓
✓ Deliverable inbox and current role
Deliverability SLA
<3%

Maximum bounce rate, or we replace the contacts. Your sender reputation stays clean.

1:1 hard bounce replacement

Every email that hard-bounces within 30 days of delivery is replaced free, record for record.

24-hour pre-delivery ping

Live SMTP and MX checks right before we send your file.

Instant CRM import

Clean CSV or XLSX, ready for one-click import.

Ready for your outbound stack

Imports straight into the tools you use.

What are you trying to do?

Each campaign needs a different data strategy. Pick your goal to see how we build the audience.

Find companies on rival platforms and reach the people evaluating a move to, or away from, MongoDB.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running MongoDB.

Ecosystem playbook

Build account lists around MongoDB deployment scale and engage the full committee across departments.

ABM playbook
Conquesting audienceSample
Amazon DocumentDBCouchbasePostgreSQL
→
MongoDB

Know the stack around every account

MongoDB rarely runs alone. Every record is tagged with the tools detected alongside it, so you can segment by complementary stacks.

Open the coexistence matrix

What MongoDB customers look like

Anonymised profiles of companies in our MongoDB dataset of 163,863+ accounts. Named accounts are shared in your free sample, never on a public page.

MongoDB account profiles · anonymised
Company sizeIndustryCountryEmployeesRevenue
EnterpriseFinancial ServicesGermany5,000+$1B+
Upper mid-marketRetailUnited States1,000–4,999$250M–$1B
SMBGamingAustralia50–199$10M–$50M
EnterpriseSaaSUnited States10,000+$5B+
Mid-marketFinancial ServicesUnited States500–999$100M–$250M
Mid-marketRetailUnited Kingdom200–999$50M–$250M
EnterpriseGamingUnited States5,000+$1B+
Upper mid-marketSaaSCanada1,000–4,999$250M–$1B
Markets we cover
United StatesIndiaUnited KingdomCanadaGermanyAustraliaSingaporeFranceNew ZealandNetherlands

Plus 170 more countries. Ask for a country-by-country count of MongoDB accounts and we'll include it with your free sample.

Build the list your way

Every list is assembled from source to your product tier, job function, geography and revenue band. Nothing is a fixed export.

Editions & modules

Filter by what they actually run.

+MongoDB Atlas+MongoDB Enterprise Advanced+Atlas Vector Search+Atlas Search+MongoDB Community Server
Firmographics

Match revenue, size and industry.

+Industry+$1M–$10B+ revenue+Headcount+Ownership & funding+HQ & branches
Geography

Target any territory.

+US & Canada+US states+UK, DACH, Nordics+APAC & ANZ+Metro clusters

Need multi-attribute segments? Open the Audience Builder

What MongoDB teams are struggling with

Know the friction before you reach out, and position your product where it matters.

Friction 1

Atlas costs at scale

ImpactCluster costs rise with growth.
OpportunityOffer cost optimisation services.
Friction 2

Relational migration

ImpactTeams move from Oracle or SQL Server.
OpportunityPitch migration services.
Friction 3

AI apps on operational data

ImpactVector search needs design.
OpportunityOffer AI data architecture.
Intent triggers we track
✓Atlas migration
✓AI app build
✓Legacy database modernisation
✓Cloud commit renewal
“The accuracy of their technographic data was outstanding. Every AWS contact we reached out to was actively running live production clusters.”
VP of Field Engineering, a cloud infrastructure companyName withheld at the client's request
Read the $2.2M ARR case study

MongoDB list questions, answered

How many companies use MongoDB?

Data InfoMetrix tracks 163,863 companies using MongoDB, with 1,077,477 verified contacts at those accounts as of October 2026. The largest groups are SaaS, Financial Services and Retail. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages MongoDB inside a company?

MongoDB is usually owned by Document Databases & Application Data. Decision-makers include CTO, VP of Engineering and CIO; Database Architect and Platform Lead shape the choice, and Backend Engineers and Full-Stack Developers use it day to day. Our MongoDB list can include any of these roles.

Which MongoDB products or editions can I target?

You can target accounts by the MongoDB products they run, including MongoDB Atlas, MongoDB Enterprise Advanced, Atlas Vector Search, Atlas Search and MongoDB Community Server. Tell us which edition or module matters and we filter the list to those accounts.

What other software do MongoDB customers use?

MongoDB customers commonly also run AWS, Node.js, Kafka, Kubernetes and Elastic. MongoDB is often connected to Google Cloud and LangChain, so users of those tools overlap heavily. We can filter any list by this kind of stack overlap.

What are the main alternatives to MongoDB?

The main alternatives to MongoDB are Amazon DocumentDB, Couchbase and PostgreSQL.

When are MongoDB customers most likely to buy?

Buying triggers we track for MongoDB accounts include atlas migration, AI app build, legacy database modernisation and cloud commit renewal. A common pain point is atlas costs at scale: cluster costs rise with growth.

Can Data InfoMetrix deliver a free sample MongoDB contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target MongoDB criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

How does Data InfoMetrix guarantee email deliverability for MongoDB contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all MongoDB datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Sourcing and compliance. Business contacts come from public company sources, professional directories and opt-in publishing partners, then go through SMTP verification and human review. Lists are for B2B outreach: include an unsubscribe link and honour opt-outs (CAN-SPAM), and have a lawful basis such as legitimate interest when you email people in the EU or UK (GDPR). Read how we source and verify data

Get your MongoDB users list

Tell us your titles, regions and company size. We'll send counts, a quote and a free 10-record sample.

Get counts & quote
✓ Reply within 1 business day✓ Delivered in 24–48 hours✓ 1:1 hard bounce replacement for 30 days