A Cloud-based Service for Real-Time Performance Evaluation of NoSQL Databases

نویسندگان

  • Omar Almootassem
  • Syed Hamza Husain
  • Denesh Parthipan
  • Qusay H. Mahmoud
چکیده

We have created a cloud-based service that allows the end users to run tests on multiple different databases to find which databases are most suitable for their project. From our research, we could not find another application that enables the user to test several databases to gauge the difference between them. This application allows the user to choose which type of test to perform and which databases to target. The application also displays the results of different tests that were run by other users previously. There is also a map to show the location where all the tests are run to give the user an estimate of the location. Unlike the orthodox static tests and reports conducted to evaluate NoSQL databases, we have created a web application to run and analyze these tests in real time. This web application evaluates the performance of several NoSQL databases. The databases covered are MongoDB, DynamoDB, CouchDB, and Firebase. The web service is accessible from: nosqldb.nextproject.ca. Keywords—NoSQL; performance evaluation; MongoDB, DynamoDB; CouchDB; Firebase.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evaluation of NoSQL and Array Databases for Scientific Applications

Scientific users are increasingly considering the use of NoSQL and array databases for storing metadata and data. These databases offer various advantages including support for realtime changing schema and performance optimizations for specific operations. However, there is a limited understanding of the strengths and weaknesses of these databases for scientific applications. In this paper, we ...

متن کامل

Performance Evaluation of NoSQL Databases

NoSQL databases have emerged as a backend to support Big Data applications. NoSQL databases are characterized by horizontal scalability, schema-free data models, and easy cloud deployment. To avoid overprovisioning, it is essential to be able to identify the correct number of nodes required for a specific system before deployment. This paper benchmarks and compares three of the most common NoSQ...

متن کامل

Online Performance Modeling for NoSQL Databases using Extreme Learning Machines

NoSQL databases rise as a solution to manage large amounts of data in the cloud. Mechanisms to guarantee Quality of Service in can significantly benefit from performance predictability. Building an accurate predictive model to estimate a DBMS performance in a cloud environment is challenging since i) workload and resources allocation change dynamically; ii) concurrency and distribution introduc...

متن کامل

NoSQL in a Mobile World: Benchmarking Embedded Mobile Databases

In this paper, we evaluate three types of embedded data storage models on mobile devices. SQLite is a relational database, CouchLite is a key-value NoSQL database and DbO4 is an object-oriented databases. Mobile phones are becoming powerful enough to do a large amount of processing without leveraging cloud services. Most mobile applications are data driven and their performance depends on data ...

متن کامل

From Relational Databases to NoSQL Databases: Performance Evaluation

In nowadays applications, the amount of data in the database grows exponentially. So, the DBMS must process these huge amounts of data as fast as possible. The main aim of this study is to prove that NoSQL databases process big data faster than relational database. The changing in applications, user and infrastructure characteristics, mostly of the Web 2.0 domain and cloud platform, led to expl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • CoRR

دوره abs/1705.08317  شماره 

صفحات  -

تاریخ انتشار 2017