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 ChangeJar Technologies private limited is based on a March 2022 survey of MongoDB customers by TechValidate, a 3rd-party research service.
“We are using MongoDB as our primary database for managing our core app functionalities that include payments, rewards, ledger, content management, authorization, and gamification.”
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 financial services company ChangeJar Technologies Private Limited uses:
The surveyed company has seen the following positive results with MongoDB:
MongoDB Customer Testimonial
MongoDB has helped us in the following areas:
1. Performance improvements
2. Version upgrades for more scalability
3. Offloading of data from Oracle to MongoDB using Kafka connector
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.
The unique thing about using MongoDB is the offloading of Oracle data onto MongoDB in different buckets for transaction listing and reporting.
— Danish A. Lakhani, CEO of NayaPay Technologies
MongoDB Customer Testimonial
MongoDB Atlas is highly efficient.
MongoDB is the database of choice for our no code platform that allows users to configure a
business process (and any data field in that process) on the go. We don’t need a defined schema.
It has helped us to provide a new age lending platform in MEAN stack. It allows all types of deployment models from on-premise to cloud.
— Sushmitshri Babu, Co-Founder, Epikindifi Software & Solutions Private Limited
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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MongoDB Case Study
This case study of Easy Eat AI Sb Bsd is based on a September 2022 survey of MongoDB customers by TechValidate, a 3rd-party research service.
“MongoDB caters to all use cases of small and medium-scale companies fantastically. The customer support team is exceptional. The frequent workshops organized by them are really informative.
The business challenges that led Easy Eat to evaluate and ultimately select MongoDB:
The key features and functionalities of MongoDB that Easy Eat AI uses:
Easy Eat AI achieved the following results with MongoDB:
