TechValidate Research on MongoDB


MongoDB Case Study

Easy Eat AI

Introduction

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.

Challenges

The business challenges that led Easy Eat to evaluate and ultimately select MongoDB:

  • Their main objective when selecting MongoDB was launching their new application on MongoDB.
  • The challenges Easy Eat AI was facing that MongoDB helped solve include:
    • Clustering, different node for analytics, archiving, index suggestions, and easy scaling UI

Use Case

The key features and functionalities of MongoDB that Easy Eat AI uses:

  • A brief overview: “We are using MongoDB Atlas and store all our operational information (order billing, etc.) here. We are also developing in the MongoDB Realm. Next month we are going to explore Atlas Search and archiving, etc.”
  • The reason they chose MongoDB was:
    • Flexible document data model
    • Ease of use
    • Deployment flexibility (on-premises, self-managed cloud, fully-managed cloud)
    • Fully-managed cloud database
  • The products they are using include:
    • Atlas Database
    • Database tools (Atlas CLI, Compass, Database Shell, Database connectors)
    • MongoDB Community
    • MongoDB Realm
  • The cloud provider they are currently using is:
    • AWS
  • The use cases that are relevant to how they use MongoDB include:
    • Analytics & Operational Intelligence including Realtime
    • Cloud Data Strategy (CDS)
    • Content Management
    • Data as a Service (DaaS)

Results

Easy Eat AI achieved the following results with MongoDB:

  • “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.”
  • “We store most of the things in MongoDB” and “management overhead is much less.”




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.


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