TechValidate Research on MongoDB


MongoDB Case Study

Apnatime Tech Pvt Ltd

Introduction

This case study of Apnatime Tech Pvt Ltd is based on a February 2022 survey of MongoDB customers by TechValidate, a 3rd-party research service.

“We are using Event Driven architecture and MongoDB is our primary data store for our catalog and content management systems with low latency and high throughput requirements.”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select MongoDB:

  • The challenges Apnatime Tech Pvt Ltd were facing that MongoDB helped solve:
    • “Dynamic Schema Definition, High read performance, Availability, Ease of scale.”
  • Apnatime Tech Pvt Ltd’s main objective when selecting MongoDB was:
    • To migrate an existing application from an alternative database to MongoDB
  • The database(s) in use before MongoDB:
    • ElasticSearch
    • PostgreSQL

Use Case

How Apnatime Tech Pvt Ltd utilizes MongoDB:

  • “We are using Event-Driven architecture and MongoDB is our primary data store for our catalog and content management systems with low latency and high throughput requirements. Apna is [the] biggest professional network in India for blue and grey collar workers and we store MongoDB to store profession network graph.”
  • The reason they chose MongoDB was:
    • Flexible document data model
    • Ease of use
    • Deployment flexibility (on-premises, self-managed cloud, fully-managed cloud)
  • MongoDB product in use:
    • Atlas Database
  • Cloud provider they are currently using is:
    • GCP
  • MongoDB use cases include:
    • Catalog
    • Content Management
    • Data as a Service (DaaS)
    • Mobile & Mobile Apps
    • Personalization

Results

Apnatime Tech Pvt Ltd achieved the following results with MongoDB:

  • Horizontal scaling, Easier management, Observability, and Performance
  • Something unique about how Apnatime Tech Pvt Ltd is able to use MongoDB:
    • “Running intelligent aggregate pipeline within user flow with sub-millisecond latencies.”




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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