In developing NoSQL databases, a major motivation is to achieve better efficient query performance compared with relational databases. The graph database is a NoSQL paradigm where navigation is based ...on links instead of joining tables. Links can be implemented as pointers, and following a pointer is a constant time operation, whereas joining tables is more complicated and slower, even in the presence of foreign keys. Therefore, link-based navigation has been seen as a more efficient query approach than using join operations on tables. Existing studies strongly support this assumption. However, query complexity has received less attention. For example, in enterprise information systems, queries are usually complex so data need to be collected from several tables or by traversing paths of graph nodes of different types. In the present study, we compared the query performance of a graph-based database system (Neo4j) and relational database systems (MySQL and MariaDB). The effect of different efficiency issues (e.g., indexing and optimization) were included in the comparison in order to investigate the most efficient solutions for different query types. The outcome is that although Neo4j is more efficient for simple queries, MariaDB is essentially more efficient when the complexity of queries increases. The study also highlighted how dramatically the efficiency of relational database has grown during the last decade.
Background: Relational databases have been a prevalent technology for decades, using SQL (Structured Query Language) to manage data. However, the emergence of new technologies, such as the web and ...the cloud, has brought the requirement to handle more complex data. NewSQL is the latest technology that incorporates the ability to scale and ensures the availability of NoSQL (Not Only SQL) without losing the ACID properties (Atomicity, Consistency, Isolation, Durability) associated with relational databases. Methods: We evaluated CockroachDB, MariaDB Xpand, and VoltDB with OSSpal methodology and experimentally using the Star Schema Benchmark (SSB). The scalability and performance capabilities of each database were assessed. Results: Applying the OSSpal methodology, the results showed that MariaDB Xpand outperformed CockroachDB and VoltDB. On the other hand, we concluded that with Star Schema Benchmark, CockroachDB had better scalability, while VoltDB had a faster query execution time. Conclusions: CockroachDB and VoltDB are the best performing databases in terms of scalability and performance.
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CEKLJ, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
A specialized database and a software tool for graphical and numerical presentation of maritime measurement results has been designed and implemented as part of the research conducted under the ...netBaltic project (Internet over the Baltic Sea – the implementation of a multi-system, self-organizing broadband communications network over the sea for enhancing navigation safety through the development of e-navigation services.) The developed software allows tracing graphs of radio-connections between shore stations and vessels (offshore units), based on historical data including the traffic of ships and their specific parameters collected on the Baltic Sea during the last four years. It also enables preparation of data for network simulation experiments using AIS (Automatic Identification of Ships) and GPS (Global Positioning System) loggers installed on shore stations and vessels, taking into account a number of input parameters, such as: time range, coast station selection, ship flags based on MMSI numbers and types and ranges of possible communication technologies used (WiFi, WiMax, Radwin, LTE, etc.). The created tool has a multi-layer architecture that utilizes the MariaDB SQL database, the Apache2 WEB server, and a number of PHP applications. The runtime environment has been built on Linux Debian version 8 and the HP C7000 cluster of the 16 CPU x86 64 architecture. The modularity of the application allows parallel processing and, therefore, optimization of the computing cluster. The database contains more than 70 million records which enables simulation of various topologies (with multi-hop transmissions) and network operations depending on the transmission techniques being used. The database is fully scalable, and allows easy adding of further data collected during subsequent measurement sessions. Additionally, the use of virtualization tools facilitates the future migration to more efficient processing environments, in case of a significant increase in the volume of data. The data recorded in the database allows calculation of statistics for the surveyed networks, and determining the incidence of potential network nodes (e.g. by flag) complete with their available communication techniques – information which is important in determining structures of possible multi-hop networks and their performance. The software finds routes for datagrams according to accepted criteria and exports results to a network traffic simulator, and as such is an important part of the framework used for planning next measurement campaigns and determining which communications equipment would be more suitable for vessels.
On a daily basis people waste so many items, and what better way to help them from wasting but to create an app that tracks their groceries, creates less waste in the world and saves money at the ...same time in mobile networks. People waste food on average 1 pound per person each day they live. The application GAPP will cut down costs and waste in everyday life. People also misplace or lose track of items daily. Location of items is a big deal and knowing where they are at all times on a device would help.
Zygiaris provides an accessible walkthrough of all technological advances of databases in the business environment. Readers learn how to design, develop and use databases to provide business ...analytical reports with the three major database management systems: Microsoft Access, Oracle Express and MariaDB (formerly MySQL).
Starting with a quick refresher of the PHP language and MariaDB database, readers will explore concepts such as unit testing, session authentication and management, permissions engine, caching, ...security, and performance optimization. Building a Web Application with PHP and MariaDB: A Reference Guide begins with basic and advanced programming techniques in both PHP and MariaDB, followed by specialized operations such as working with files and directories. Next, you will be introduced to the concept of REST, and how principles of REST are applied to host XML and JSON feeds for others to consume. This book will show readers how to build a web application that will be an online book store. This would leverage a logging system that keeps a track of the activity that is going on in the application. This book will help a beginner to learn the basics of object-oriented programming with PHP and help a seasoned expert to understand the intricacies of securing and speeding up their web applications.
MariaDB is a community-driven fork of MySQL, and is a relational DBMS that can be used to build reliable, high-performance database servers. MariaDB combines MySQL characteristics such as ...replication, backup and disaster recovery, transactions and locks, and also includes important improvements to the performance, stability, security, and monitoring capabilities. Mastering MariaDBstarts with an overview of the basic features and mechanisms, which includes diagnosing and solving real-life problems such as data corruption, poorly performing queries, and deadlocks. You will learn how to improve the performance of a server by identifying slow queries, and how to choose and set up a proper backup plan and recover data when disasters occur. You will learn how to share your data through several servers using replication. By the end of this book, you will be able to configure MariaDB servers, diagnose as well as troubleshoot common transactional problems, and execute database maintenance.
The need of uninterrupted services from servers, networks and databases in the current environment relying completely on computing technologies. This paper implements Automatic database duplication ...with one master database server and multiple slave database servers. The proposed system ensures slave database server replicates data of master server which can be used to restore services in case master server fails. Existing method does this with human intervention which is a time consuming process. Therefore, the proposed system ensures to implement automatic failover capabilities with relatively low downtime and notifying the same using smart alert system. The alert mechanism includes sending an encrypted message notifying the master failure, any deviation from normal working of automatic up gradation software. The messages exchanged are AES encrypted using Message Queuing Telemetry Transport (MQTT) as IOT protocol. The proposed system implemented with Arduino, Sensors and java keycards. Results prove automatic failover utilizes less resources and system downtime is almost zero compared to manual failover. Analysis of performance, System downtime, time estimation is carried out to check the time required for key generation and encryption.
## In Detail MariaDB is a new database that has become very popular. It is easy to install and use, even on personal systems. It is evolving and expanding to meet the database needs of today, ...tomorrow, and into the future. MariaDB is a drop in replacement for MySQL it also has a lot of new features and performance enhancements that differentiate it from MySQL. It is also powerful enough to be the database of choice for some of the biggest and most popular websites in the world. This practical guide unlocks the advanced features of MariaDB's capabilities, including new storage engines, performance enhancing optimizations, and other advanced abilities. If you're looking to backend your enterprise, cloud, or embedded or mobile apps with a fast, free, open source, and familiar SQL database, MariaDB is perfect for you. We begin with installing MariaDB and configuring it to unlock powerful optimizations that can speed up certain queries exponentially. We will then move on to using the extra storage engines included with MariaDB, such as TokuDB and the CONNECT engine. With those mastered, it's then time to branch out from single to multi-server installations, so we will dive into MariaDB's clustering and replication features, learning how to efficiently search and index our data, work with NoSQL-style data, and connect MariaDB with a Cassandra cluster. It's a dangerous world out there, so last of all, we wrap things up with recipes on securing MariaDB. This is your ideal guide for getting the most out of MariaDB. ## Approach A practical cookbook, filled with advanced recipes , and plenty of code and commands used for illustration,which will make your learning curve easy and quick. ## Who this book is for This book is for anyone who wants to learn more about databases in general or MariaDB in particular. Some familiarity with SQL databases is assumed, but the recipes are approachable to almost anyone with basic database skills.
