Benchmarking JSON Performance in PostgreSQL vs MongoDB
Umair Shahid
Founder, Stormatics
45 min
Online
MongoDB’s claim to fame is its exceptional ability to handle unstructured data and scale horizontally. PostgreSQL is a traditional relational database, very popular with application developers, and comes with increasing native ability to handle unstructured data.
Umair Shahid, a seasoned expert in PostgreSQL and Founder at Stormatics with over two decades of experience, and Semab Tariq, a skilled database developer at Stormatics, did a great job benchmarking and comparing performance in handling JSON data between the two databases.
Their comprehensive analysis provided a foundation for understanding the complexities of JSON data performance across MongoDB and PostgreSQL. The tests focused on four main aspects:
- ^Data ingestion rates for bulk loading
- ^Single inserts
- ^Disk space utilization
- ^Select query performance
For developers and database administrators, the nuanced performance differences revealed by the benchmarks emphasize the need to look beyond traditional assumptions about relational and non-relational databases, focusing instead on empirical evidence and practical performance considerations. Learn more.
The full webinar video is available exclusively for registered users.
About the speaker
Umair shahid
Founder, Stormatics
Umair is a 20-year veteran of the PostgreSQL community with a passion for solving real-world problems with technology. He actively advocates for PostgreSQL around the world, speaking at conferences, organizing events, and leading local user groups. Umair is the founder of Stormatics – a professional services company with a mission to help businesses use PostgreSQL reliably for their critical data workloads. His previous experience with commercial PostgreSQL has spanned roles related to professional services and product management in major pure-play PostgreSQL organizations like EDB, 2ndQuadrant, OpenSCG, & Percona.
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