# Performance evaluation for CRUD operations in asynchronously replicated document oriented database

arXiv: https://arxiv.org/abs/1806.04761 · HTML: https://mlsanity.com/paper/1806.04761/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jun 2018.

## Built on by (most cited first, 3 of 3)

- [CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models](https://mlsanity.com/paper/2401.17043/) (2024)
- [A Distributed Automatic Domain-Specific Multi-Word Term Recognition Architecture using Spark Ecosystem](https://mlsanity.com/paper/2305.16343/) (2023)
- [Vextra: A Unified Middleware Abstraction for Heterogeneous Vector Database Systems](https://mlsanity.com/paper/2601.06727/) (2026)

## Abstract (arXiv)

NoSQL databases are becoming increasingly popular as more developers seek new ways for storing information. The popularity of these databases has risen due to their flexibility and scalability needed in domains like Big Data and Cloud Computing. This paper examines asynchronous replication, one of the key features for a scalable and flexible system. Three of the most popular Document-Oriented Databases, MongoDB, CouchDB, and Couchbase, are examined. For testing, the execution time for CRUD operations for a single database instance and for a distributed environment with two nodes is taken into account and the results are compared with tests outcomes obtained for three relational database management systems: Microsoft SQL Server, MySQL, and PostgreSQL.