Data Last Verified: 03-SEP-2026

MongoDB Users List

Identify companies using MongoDB and connect platform usage with the accounts, technology environments, and decision-makers that matter to your offer. Campaign design should lead database design, not follow it, using data as a page-specific check for MongoDB. Campaigns aimed at MongoDB become easier to prioritize when data, integration, analytics, and product footprint are defined before contacts are selected.

Verified Companies Using MongoDB

Technology & Product Filters

IT Decision-Maker Contacts

98.5% Email Accuracy SLA

10.8K+ Total Contacts

6.2K+ USA Contacts

1.4K+ Total Companies

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Target verified decision-makers using MongoDB.

GDPR Compliant

CCPA Compliant

CAN-SPAM Compliant

15+ Years Expertise

The Commercial Logic Behind a Strong MongoDB Audience

Begin with the campaign use case, because the same market can require very different records for different sellers. For this audience, relevance emerges from the combination of data, integration, analytics, and product footprint, with the MongoDB market definition kept in view. Those variables give sales a defensible reason to include, exclude, or rank MongoDB records before outreach begins. This approach keeps MongoDB Users Email List connected to the MongoDB campaign objective instead of letting the keyword dictate a generic database.

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ICP CONFIGURATION

Available MongoDB Data Fields & Targeting Signals

Technology & Product Criteria

6 CRITERIA

MongoDB Product Edition & Version

Deployment Model (Cloud / On-Premise)

Technology Stack & Integration Context

Platform License Tier & Modules

Related Software Ecosystem

Technology Adoption Stage

Company & Firmographics

6 ATTRIBUTES

Company Name & Industry Vertical

Employee Count & Revenue Range

Organization Type & Ownership

Annual IT & Software Spend Tier

Company Operating Footprint

Headquarters State & Country

Decision-Maker Intelligence

6 CONTACT FIELDS

Full Name & Job Title

IT Seniority Level (CIO, VP, Dir)

Functional Role (DevOps, Arch, Admin)

Purchasing & Evaluation Authority

Verified Work Email Address

Direct Business Phone Number

Territory & Geographic Data

6 LOCATION FIELDS

Physical Office Address & ZIP Code

US State, City & County Coverage

Metropolitan Statistical Area (MSA)

Custom Sales Territory Mapping

Multi-State Operating Footprint

Regional Target Sales Zone

REVENUE MOTIONS

Who Benefits from MongoDB Users List and What They Can Do with It

Buyer Type	Objective	Campaign Use
Cybersecurity vendors	For MongoDB, evaluate MongoDB adoption alongside technology exposure, security architecture, compliance needs, and security leadership so the campaign can score stronger-fit accounts.	In the MongoDB campaign, campaign use: Reach Chief Data Officer and adjacent stakeholders with outreach tied to the account's technology environment; activate the data for prospecting, demos, integration, migration, services, or pipeline development.
Implementation and consulting firms	Use MongoDB technology footprint together with deployment context, product footprint, modernization needs, and stakeholder ownership to organize the MongoDB accounts most relevant to the offer.	Map Data Engineering Leader with the other people who influence the environment, then use the audience for account planning, technical outreach, competitive displacement, or expansion, with the MongoDB market definition kept in view.
Complementary software vendors	Separate routine MongoDB usage from commercial fit by looking at MongoDB implementation plus integration fit, competing tools, business workflow, and application ownership.	Build multithreaded outreach around Integration Architect, account fit, and the current stack so campaigns can support replacement, security, integration, managed services, or adjacent software sales.
Data and AI vendors	Qualify accounts in the MongoDB market by combining technographic targeting with data flows, analytics environment, platform dependencies, and data leadership.	Give sales a reason for contact by connecting Chief Data Officer to the platform context; use the records for consultations, demos, modernization conversations, partner programs, or recruitment, with the MongoDB market definition kept in view.

AUDIENCE SEGMENTS

Organize MongoDB Data Around the Sales Question

Companies using MongoDB

Target by:

Product Edition Module Deployment Context

Accounts showing

Buying & Change Signals:

Migration Integration Modernization Hiring Replacement Expansion

Contacts at MongoDB

Decision Makers by Role:

IT Security Operations Finance Data Procurement

MongoDB accounts

Firmographic Criteria:

Industry Employee Size Revenue Headquarters

MongoDB customers

Market Coverage:

Geography Territory Market Segment Account Priority

MongoDB Installed Base records

Environment Context:

Cloud On-Premise Hybrid Related Stack

A smaller MongoDB segment can outperform a broad list when its inclusion rules are easier for sales to understand. Compare the segment against data-platform expansion before adding more records.

For MongoDB, query intent can move between the MongoDB Installed Base, a MongoDB Customers List, and a MongoDB Users Email List. Within the MongoDB audience, the copy should explain those views separately so each term appears with a real purpose.

EXPLORE RELATED AUDIENCES

Choose the Audience You Want to Reach

Explore related decision-maker contacts, specialized lists, and technology databases.

VERIFIED DATA PREVIEW

Sample MongoDB Users Database Preview

Preview 10 verified sample records showcasing our 21+ intelligence data fields with masked contact records.

#	First Name	Last Name	Full Name	Verified Email	Direct Phone	Fax Number	Job Function	Job Title	Company Name	Industry	SIC Code	NAICS Code	Company Size	Revenue Size	Address	City	State	Zip Code	Country	LinkedIn Business	LinkedIn Profile
1	Joseph	Fletcher	Joseph Fletcher	j.f**r@letc*.com	+1 (668) ***-8690	+1 (668) ***-8691	Security & Compliance	Chief Technology Officer	Fletcher Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	1,000–5,000 Employees	$100M – $250M	1700 Lincoln St, Ste 3000	Denver	CO	80202	United States	Company Page	Profile Page
2	Megan	Kingsley	Megan Kingsley	m.k**y@ings*.com	+1 (705) ***-8813	+1 (705) ***-8814	Information Technology	Director of Information Security	Kingsley Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	100–250 Employees	$10M – $25M	233 S Wacker Dr, Ste 5000	Chicago	IL	60606	United States	Company Page	Profile Page
3	Kevin	Bickford	Kevin Bickford	k.b**d@ickf*.com	+1 (742) ***-8936	+1 (742) ***-8937	Cloud Operations	VP of Product Management	Bickford Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	250–1,000 Employees	$25M – $100M	500 W 2nd St, Ste 1900	Austin	TX	78701	United States	Company Page	Profile Page
4	Christine	Gallagher	Christine Gallagher	c.g**r@alla*.com	+1 (779) ***-9059	+1 (779) ***-9060	Engineering & DevOps	Chief Information Officer	Gallagher Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	1,000–5,000 Employees	$100M – $250M	333 S Hope St, Ste 1200	Los Angeles	CA	90071	United States	Company Page	Profile Page
5	Patrick	Whitmore	Patrick Whitmore	p.w**e@hitm*.com	+1 (816) ***-9182	+1 (816) ***-9183	Software Architecture	Lead DevOps Architect	Whitmore Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	250–1,000 Employees	$25M – $100M	1201 3rd Ave, Ste 2200	Seattle	WA	98101	United States	Company Page	Profile Page
6	Emily	Northrop	Emily Northrop	e.n**p@orth*.com	+1 (853) ***-9305	+1 (853) ***-9306	Security & Compliance	Head of Engineering	Northrop Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	100–250 Employees	$10M – $25M	1450 Brickell Ave, Ste 1800	Miami	FL	33131	United States	Company Page	Profile Page
7	Daniel	Donovan	Daniel Donovan	d.d**n@onov*.com	+1 (890) ***-9428	+1 (890) ***-9429	Information Technology	Database Administrator	Donovan Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	1,000–5,000 Employees	$100M – $250M	1000 Main St, Ste 1800	Houston	TX	77002	United States	Company Page	Profile Page
8	Stephanie	Reynolds	Stephanie Reynolds	s.r**s@eyno*.com	+1 (227) ***-9551	+1 (227) ***-9552	Cloud Operations	VP of Cloud Infrastructure	Reynolds Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	100–250 Employees	$10M – $25M	1717 Main St, Ste 2400	Dallas	TX	75201	United States	Company Page	Profile Page
9	Ryan	Prescott	Ryan Prescott	r.p**t@resc*.com	+1 (264) ***-9674	+1 (264) ***-9675	Engineering & DevOps	Enterprise Software Architect	Prescott Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	250–1,000 Employees	$25M – $100M	100 Federal St, Fl 28	Boston	MA	02110	United States	Company Page	Profile Page
10	Victoria	Radcliffe	Victoria Radcliffe	v.r**e@adcl*.com	+1 (301) ***-9797	+1 (301) ***-9798	Software Architecture	IT Infrastructure Manager	Radcliffe Data Systems	Technology - Mongodb Ecosystem	`7371`	`541511`	1,000–5,000 Employees	$100M – $250M	350 5th Ave, Fl 45	New York	NY	10001	United States	Company Page	Profile Page

Scroll horizontally to inspect all 21+ data field columns. Request customized sample records for your CRM.

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WHY TARGETNXT

The Path from Campaign Requirement to MongoDB Users List

Select your primary objective to route directly to our core data solutions for MongoDB.

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TARGETED ALIGNMENT

Frame the request around the business problem, not simply the number of MongoDB records required.

HYBRID VERIFICATION

Map that problem to data criteria such as data, integration, analytics, and product footprint and the fields needed to act on them using the approved MongoDB criteria.

SAMPLE-FIRST REVIEW

Validate the logic with a reviewable sample before committing to the full audience so the final MongoDB dataset matches the brief.

10+ YEARS EXPERTISE

Once approved, prepare the database for the intended campaign with the agreed segmentation and field set for the MongoDB market.

READY TO BUILD YOUR LIST?

Start with a Smaller MongoDB Sample

See the proposed MongoDB audience before purchase, including the fields and segmentation that will govern the complete delivery.

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FAQ

Before Ordering MongoDB Users List: Practical Questions

Installed-base intelligence turns MongoDB usage into a qualification signal. Sellers can use the MongoDB Installed Base to look for change events, adjacent technology needs, services opportunities, or account-expansion paths.

Use a MongoDB Customer Database when the presence or context of MongoDB materially changes which accounts should be pursued. When working with MongoDB, the database can still include standard company fields, but the technology relationship is central to qualification.

Technographic data for MongoDB is the technology-context layer of the account. It can include product footprint, environment clues, adjacent systems, and other indicators that help interpret data, integration, and analytics.

The phrase MongoDB Customers List usually points to the company layer of the market. TargetNXT can add decision-makers and technographic context so the audience supports outreach, not just company identification, with the MongoDB market definition kept in view.

Yes. A MongoDB Users Database can connect company information, technology context, and stakeholder data in one record set. Typical fields for this page include related technologies, industry, business email, edition or environment, phone, company, and employee size.

A sales-oriented MongoDB Users Email List goes beyond platform names by adding decision-maker information and account context. The selection rules can reflect data, integration, and analytics; this is applied specifically to MongoDB.

Yes. Companies using MongoDB can be organized around the ICP rather than delivered as one broad market file. In the MongoDB campaign, filters can combine data, integration, and analytics with firmographic, geographic, and stakeholder criteria.