A Comparative Study of MongoDB and Document-Based MySQL for Big Data Application Data Management

Győrödi, Cornelia; Dumşe-Burescu, Diana V.; Zmaranda, Doina; Győrödi, Robert

doi:10.3390/bdcc6020049

Cited by 16 publications

(8 citation statements)

References 20 publications

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“…We have elected to utilize the document-oriented MongoDB NoSQL database system [64] for data management purposes. Interfacing with the database within the application server is facilitated through the use of the Mongoose library.…”

Section: Database Management Systemmentioning

confidence: 99%

Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data

Mahbub,

Bhagwagar,

Chand

et al. 2024

Sensors

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Bats play a pivotal role in maintaining ecological balance, and studying their behaviors offers vital insights into environmental health and aids in conservation efforts. Determining the presence of various bat species in an environment is essential for many bat studies. Specialized audio sensors can be used to record bat echolocation calls that can then be used to identify bat species. However, the complexity of bat calls presents a significant challenge, necessitating expert analysis and extensive time for accurate interpretation. Recent advances in neural networks can help identify bat species automatically from their echolocation calls. Such neural networks can be integrated into a complete end-to-end system that leverages recent internet of things (IoT) technologies with long-range, low-powered communication protocols to implement automated acoustical monitoring. This paper presents the design and implementation of such a system that uses a tiny neural network for interpreting sensor data derived from bat echolocation signals. A highly compact convolutional neural network (CNN) model was developed that demonstrated excellent performance in bat species identification, achieving an F1-score of 0.9578 and an accuracy rate of 97.5%. The neural network was deployed, and its performance was evaluated on various alternative edge devices, including the NVIDIA Jetson Nano and Google Coral.

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Section: Database Management Systemmentioning

confidence: 99%

Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data

Mahbub,

Bhagwagar,

Chand

et al. 2024

Sensors

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“…The Data-Acquisition and Storage module features an MQ Telemetry Transport (MQTT) [ 65 ] listener that collects monitored energy data from topics associated with devices. The module retrieves the public key from the blockchain to encrypt the monitored values and store them in the MongoDB [ 66 ] database (step 6). It sends hourly aggregated encrypted data to be stored on the blockchain as transactions (step 7) and updates the account corresponding to the smart contract of the energy flexibility asset.…”

Section: Homomorphic Encryption For P2p Trading and Drmentioning

confidence: 99%

Smart contracts and homomorphic encryption for private P2P energy trading and demand response on blockchain

Mitrea,

Toderean,

Cioara

et al. 2023

Heliyon

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“…Service and delivery of information that is fast, efficient and precise is a high selling point. The trials carried out (Bhaswara et al, 2017) (Halimi et al, 2021) (Deari et al, 2018) (Győrödi et al, 2022) in conducting CRUD testing, NoSQL with MongoDB has better performance compared to RDBMS databases.…”

Section: Optimization Of Transaction Database Design With Mysql and M...mentioning

confidence: 99%

Optimization of Transaction Database Design with MySQL and MongoDB

Mumtahana

2022

SinkrOn

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Database is one of the most important parts in running an application. Databases can be used to store data. However, in running an application, the selection of an appropriate database needs to be considered, so that the resulting information can be in accordance with user needs. In developing applications, more people use RDBMS design which has a very structured nature, but technological developments have introduced NoSQL as a database development method. In this research, MySQL and MongoDB databases will be tested in transaction processing. The tests carried out include comparisons of database designs, comparisons of defining table structures, comparisons of running time in the insert, update, delete, search processes. The test results show that MongoDB has a simpler table description structure than MySQL. The results of the running time test show that MongoDB has a faster running time difference than MySQL. In the insert process there is a time difference of 0.005625 sec, update 0.001688 sec, delete 0.00075 sec and search 0.006875 sec.

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A Comparative Study of MongoDB and Document-Based MySQL for Big Data Application Data Management

Cited by 16 publications

References 20 publications

Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data

Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data

Smart contracts and homomorphic encryption for private P2P energy trading and demand response on blockchain

Optimization of Transaction Database Design with MySQL and MongoDB

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