Hướng dẫn mongodb vs mysql performance
A Database is a logical collection of data that can be used to store and manipulate data from a computer system electronically. Show
Every organization needs a Database for storing transactional data, company data, metadata, performing analysis, and much more. Database technologies have evolved over the years and provide a huge range of features to choose from. Depending on the use case, a Solution Architect or a Developer chooses a Database architecture. Two very popular Database technologies that have their own demand are MongoDB and MySQL. MongoDB is the popular NoSQL Database and MySQL is the popular SQL Database. Are you confused between MongoDB vs MySQL decision? If yes, then this article highlights the key differences between MongoDB and MySQL to help you choose the right Database for your business. Table of Contents
What are SQL and NoSQL Databases?Image SourceBefore proceeding forward, let’s take a glance at the basics of SQL and NoSQL Databases: SQL (Relational) DatabasesSQL(Structured Query Language) is used in Relational Databases (SQL Databases) to create, update and delete database objects. It uses tables to define relationships while following strict ACID(Atomic, Consistency, Isolation & Durability) properties. NoSQL (Non-Relational) DatabaseNoSQL Databases do not follow a structured data format. These are non-tabular databases that can easily scale with large volumes of data and high user loads. Want to explore the key differences between NoSQL and SQL Databases? Read SQL vs NoSQL Databases: 5 Critical Differences to gain a better understanding. Hevo Data, a No-code Data Pipeline helps to integrate data from MongoDB and MySQL (among 100+ sources) to the destination/ Data Warehouse of your choice. Hevo is fully-managed and completely automates the process of not only loading data from your desired source but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Get Started with Hevo for free Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. It provides a consistent & reliable solution to manage data in real-time and always have analysis-ready data in your desired destination. It also allows you to focus on key business needs and perform insightful analysis using a BI tool of your choice. What is MongoDB?Image SourceMongoDB is an Open-Source, NoSQL Database. It stores data in JSON-like documents. It is created, maintained, and managed by MongoDB.Inc under the SSPL(Server Side Public License) license. MongoDB is also a Distributed Database which makes it highly scalable, available, and geographically distributable. It is available for free to learn and develop small applications. MongoDB can be connected using 10+ programming language drivers(C++, Java, Python, JavaScript, etc) and also provides end-to-end security and management tools for automation, monitoring, and backup. Explore more about MongoDB in the official Documentation. What is MySQL?Image sourceMySQL is an Open-Source, multithreaded, multi-user, Relational Database. It is a trademark of Oracle Corporation and is available for free if you want to develop small-scale applications. MySQL is scalable, reliable, and easy to use. You can run it on a laptop or a desktop. It uses a basic Client-Server Model to assist users in managing Relational Databases, or data stored in rows and columns across tables. MySQL client programs can be written in C, C++, Eiffel, Java, Perl, PHP, Python, Ruby, and Tcl. Want to explore more about MySQL? Refer to the official website. Here’s a quick comparison table before we dive deep into the differences between MongoDB and MySQL:
MongoDB vs MySQL: Data StorageMongoDB
MySQL
MongoDB vs MySQL: ArchitectureMongoDB
MySQL
MongoDB vs MySQL: Query LanguageMongoDB
MySQL
MongoDB vs MySQL: Schema FlexibilityMongoDB
MySQL
MongoDB vs MySQL: PerformanceMongoDB
MySQL
MongoDB vs MySQL: SecurityMongoDB
MySQL
Similarities between MongoDB and MySQLReading the above comparison of MongoDB vs MySQL, you might have observed that MongoDB and MySQL have distinct features that are best suited to specific use cases. However, there are many similarities between these two systems. Some of these are:
Pros & Cons of MongoDBSome of the benefits of MongoDB are:
Some of the limitations of MongoDB are:
Pros & Cons of MySQLSome of the benefits of MySQL are:
Some of the limitations of MySQL are:
Applications of MongoDBThousands of enterprises leverage MongoDB for data storage or as a database service for their applications all around the world. It’s ideal for:
Use Cases of MongoDBMongoDB is used by companies such as IBM, Oracle, Zendesk, Sony, Intercom, and others. Here are a few of MongoDB’s most well-known use cases:
Applications of MySQLMySQL has been around for nearly two decades and has provided enterprises all around the world with the simplicity of storing enormous amounts of data. Here are some of MySQL’s applications:
Use Cases of MySQLAirbnb, NASA, YouTube, Netflix, Pinterest, Drupal, Joomla, and other notable enterprises use MySQL. Here are a few of the most common MySQL use cases:
Frequently Asked Questions (FAQs)Is MongoDB easier than MySQL?MongoDB’s schemaless nature makes it simple to create and upgrade applications over time, without the need for difficult and costly schema migration processes as you would with a relational database. In comparison to MySQL, there will be a significant performance increase. MySQL, on the other hand, has a larger online community since it has been around longer. Hence, it will be easier to debug your code or get answers easily. Should I Use MySQL or MongoDB?Use MySQL when:
Use MongoDB when:
Can I Set Up a MongoDB MySQL Integration?There are many ways of loading data from MongoDB to MySQL. You can use a manual ETL Process to Set Up MongoDB MySQL Integration using the Mongoexport tool. In addition, you can use an automated Data Pipeline platform like Hevo that can move your data between MongoDB and MySQL very quickly without writing a single line of code. It is simple, hassle-free, and reliable. Find out more about Connecting MongoDB to MySQL using two 2 Easy Methods. ConclusionWe hope that the comparison of MongoDB vs MySQL has given you a good understanding of the two Database Management Systems. Both MongoDB and MySQL are great in their own way. While it may seem that MongoDB Databases save a lot of time in Database definition initially in the development process, the fact remains that a well-defined Database schema with MySQL can give a sizable performance advantage in some cases. Eventually, MySQL is used in specific scenarios (fixed schema constraints). MongoDB is used if your application deals largely with Objects and if your requirement is schema flexibility. Also, you can split the responsibilities between MySQL and MongoDB giving you the freedom to exploit both of their features in a hybrid format. Whether you select one or choose a hybrid combination of the two Databases, the success of your application will depend on having access to data transfer tools that can work between these systems and external data sources. Having a No-code Data Pipeline like Hevo can help you integrate data from MongoDB & MySQL and load them into a Data Warehouse of your choice. Thus, making data migration hassle-free and seamless.
Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. Check out the pricing details here. Now that you are aware of the differences between MongoDB and MySQL and also have an understanding of why how data replication can help, can read these blogs on replicating data from both the databases:
Do let us know your thoughts about this blog and if you know any other differences in the comments 😊 |