AI Summary of Scholarly Research

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DynamoDB and MongoDB were compared for efficiency

Research area:computer-science-ainetworks-cloud

What the study found

The article compares Amazon DynamoDB and MongoDB and reports that the study aimed to identify the more efficient system. It also examined which database system better optimizes queries in one of the test scenarios.

Why the authors say this matters

The authors suggest the comparison is relevant because it helps determine which non-relational database system performs more efficiently. The study indicates this could be useful for understanding how the two systems behave across different deployment environments.

What the researchers tested

The researchers prepared identical databases in four environments: MongoDB Local, DynamoDB Local, MongoDB Atlas, and DynamoDB AWS. They used JMeter, a tool for testing and measuring software performance, to run scripts that measured the execution time of searching, adding, editing, and deleting data.

What worked and what didn't

The abstract says the study measured how long database operations took and checked query optimization in one scenario, but it does not state which system performed better. No specific operation-level results are provided in the available summary.

What to keep in mind

The available abstract does not include the actual performance results or the final comparison outcome. It also does not describe any limitations beyond the tested environments and scenarios.

Key points

  • The article compares Amazon DynamoDB with MongoDB.
  • Identical databases were tested in four environments: local and cloud versions of both systems.
  • JMeter scripts were used to measure the time for searching, adding, editing, and deleting data.
  • One scenario was used to check which system better optimizes queries.
  • The abstract does not state which database was more efficient.

Disclosure

Research title:
DynamoDB and MongoDB were compared for efficiency
Authors:
Michał Sagan, Małgorzata Plechawska–Wójcik
Institutions:
Lublin University of Technology, Lublin University of Technology
Publication date:
2026-06-30
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.