MongoDB Customer Research
Atlas Data API
How well does the Atlas Data API meet your needs?
198 Customers Surveyed
1,648 Data Points Collected
63 Published TechFacts
3 Published Charts
9 Published Case Studies
MongoDB Case Study
This case study of a medium enterprise computer software company is based on a February 2022 survey of MongoDB customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.
“We are using [MongoDB] for data storage, caching, triggers.”
“Stability and scaling of our systems and services have been smooth and always available.”
The business challenges that led the profiled company to evaluate and ultimately select MongoDB:
Learn more about the key features and functionalities of MongoDB that this Computer Software company uses:
The surveyed company achieved the following results with MongoDB:
MongoDB Case Study
This case study of NayaPay Technologies is based on a March 2022 survey of MongoDB customers by TechValidate, a 3rd-party research service.
“We are using MongoDB for storing customer, merchant, and informational data for now. Later on, we can also use it for the analytics and reporting purposes.”
“The management, retrieval, and processing of data are really quick. It can horizontally scale by simply adding nodes in the ReplicaSet. It provides high availability using clusters which can be configured very easily through the Ops Manager.”
Learn more about the key features and functionalities of MongoDB that financial services company NayaPay Technologies uses:
MongoDB has helped NayaPay Technologies in the following areas:
MongoDB Customer Satisfaction Rating
A Chief Technology Officer at a small business telecommunications services company would be very likely to recommend MongoDB:
MongoDb provides a very robust product offering to build modern products and offerings that have an inherent need to be agile and emergent in their design.
The administrative and operative ease are a pleasure to experience:
- We are able to start with very small cluster instances and scale-up on a need basis;
- The auto-upgrade feature allows us to have the peace-of-mind from a security operations perspective; and
- We almost do not have a specialized DBA on the team to manage this database anymore.
MongoDB Customer Research
Before using MongoDB Atlas, what challenges were you facing?
Spending too much time managing and scaling infrastructure |
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Slow time to bring new applications or features to market |
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Data modeling and schema management |
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Overspending on infrastructure (overspending or running multiple specialized databases) |
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Managing too many tools or working with data in silos (infrastructure complexity) |
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Too much time spent writing custom code |
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