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Performance analysis – MapR DB vs. Mongo DB – Tool Selection Process

Achieving low-latency API-based queries with Mongo DB

  • Designed the fault-tolerant and scalable architecture with DR
  • Implemented APIs for related data operations
  • Implemented monitoring environment and automated alarm scripts
  • Designed data collections and configuring shards
  • Performed jMonitor testing
  • Tested use-cases and analyzed performance
  • Performed Shard and Replica failure testing

Big Data Platform

MapR Hadoop, Mongo DB, Python, Java

Testing & Automation

Bash scripting, SQL, Postman, Mongoose

Monitoring

Jmonitor

  • Verified performance for single, multiple, and bulk operations
  • Query performance improved by 200%
  • Improved SLA for bulk requests by implementing the cache
  • Adopted new technology – MapR-DB, Mongo DB
  • Optimized design
  • Developed efficient API for requests
  • Improved Data Ingesting process

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