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TechValidate Research on MongoDB

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MongoDB Customer Research

Before using MongoDB Atlas, what challenges were you facing?

Spending too much time managing and scaling infrastructure	59%
Slow time to bring new applications or features to market	39%
Data modeling and schema management	36%
Overspending on infrastructure (overspending or running multiple specialized databases)	28%
Managing too many tools or working with data in silos (infrastructure complexity)	23%
Too much time spent writing custom code	22%

About This Data

This data was sourced directly from verified users of MongoDB by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.

Respondent Details

Company Size	Industry	Response
Full-stack developer	Small Business	Media & Entertainment	Data modeling and schema management
Engineer	Small Business	Financial Services	Spending too much time managing, upgrading, and scaling database infrastructure
IT Architect	Small Business	Security Products & Services	Spending too much time bringing new applications or features to market Spending too much time and/or money managing and integrating disparate data technologies (architectural complexity)
Engineer	Medium Enterprise	Construction
IT Architect	Small Business	Computer Software	Spending too much time bringing new applications or features to market Data modeling and schema management
Chief Technology Officer (CTO)	Small Business	Computer Software	Spending too much time bringing new applications or features to market Spending too much money on database infrastructure costs Data modeling and schema management
Full-stack developer	Medium Enterprise	Computer Software	Spending too much time managing, upgrading, and scaling database infrastructure Spending too much time and/or money managing and integrating disparate data technologies (architectural complexity)
IT Professional	Small Business	Media & Entertainment	Spending too much money on database infrastructure costs Spending too much time and/or money managing and integrating disparate data technologies (architectural complexity)
Director of Engineering	Small Business	Financial Services	Spending too much time bringing new applications or features to market Data modeling and schema management
DevOps Engineer	Small Business	Healthcare	Spending too much time managing, upgrading, and scaling database infrastructure Spending too much money on database infrastructure costs Spending too much time and/or money managing and integrating disparate data technologies (architectural complexity)

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