Hello folks ,
We are starting our most awaited journey with this Tech blog ,as it has been quite a long time since we hustled about something.
Today , our topic of discussion is : Which spouse you want MongoDB OR MySQL ?
Let’s start with a little flavor of interaction to both.
Known as “the database for giant ideas,”. MongoDB was founded in 2007 by developers from DoubleClick, ShopWiki, and Gilt Groupe. Since its launch, MongoDB has been downloaded an astounding 15 million times and boasts than 1,000 partners. MongoDB, Inc. also hosts an online course catalog for those interested in understanding more about MongoDB’s software offerings. This solution’s logo, a green leaf, is meant to represent the company’s belief that coding and databases should be simple and natural. Popular investors include Fidelity Investments, The Goldman Sachs Group, Inc., and Intel
- Document validation.
- Encrypted storage engine.
- Common use cases: mobile apps, product catalogs, content management.
- Real-time apps with in-memory storage engine (beta) • Reduced time between primary failure and recovery.
- Doesn’t fit applications needing complex transactions.
- Not a drop-in replacement for legacy applications.
- Young solution: software changes and evolves quickly
The self-proclaimed “world’s most popular open source database,” MySQL has been around since 1995 and is now owned by software corporation Oracle. MySQL can be used for web, cloud, mobile, and embedded applications, and is written in both C and C++. While open source, there are also several paid editions available that offer additional features. Notable users of MySQL include YouTube, PayPal,
Google, and Facebook.
- Compatible with most operating systems.
- Server as separate program for client/server networked environment.
- Can be used even when no network available.
- Privilege and password system.
- Host-based verification and encryption of all password traffic.
- Multi-language error messages
- Stability concerns.
- Difficulties running large databases (scalability).
- Bought by Oracle: users feel software is no longer free and OS.
- Isn’t community driven
Which Would You Choose?
Comparing MongoDB vs MySQL performance is difficult, since both management systems are extremely useful and the core differences underlie their basic operations and initial approach. However, MongoDB vs MySQL is a hot argument that is going on for a while now: mature relational database against a young non-relational system. Both are open-source and easily available, as well as both systems offer commercial versions with tons of additional features.
MongoDB is alluring in its simple and natural philosophy, and seems to work well for those searching for a collaborative free and open source community. This solution’s emphasis on community, from events and webinars to online courses and user groups, stands in stark contrast to Oracle’s acquisition of MySQL. Investors like the Goldman Sachs Group and Fidelity Investments do point to a promising future.
MongoDB, however, is definitely younger and therefore not as quite as widely used as MySQL, but has the scalability and speed that many find lacking in MySQL. Still, this solution lacks support for transactions.
MySQL, on the other hand, has been around for decades (since 1995), regardless of comparison to MongoDB. But because Oracle acquired MySQL in 2010, developers find that this free and open source solution has drifted from its community control, leading to the development of MariaDB by some of MySQL originators. (Even popular users of MySQL, such as the Wikimedia Foundation, moved on to using MariaDB.) Consequently,
Oracle no longer accepts patches created by the MySQL community and
no longer offers a development roadmap, both of which have led to a sort of development purgatory since collaboration came to a standstill. Because of its dependency on Oracle for developments, it lags a bit and speed and doesn’t handle large databases well. It’s best for those with smaller database who want a more general solution and can manage to wait for updates.
MongoDB attracts users with its open and simple philosophy, as well as the collaborative and helpful community, while users report the exact opposite regarding MySQL, after Oracle’s acquisition. Another issue with the latter one is owner’s focus on MariaDB development along with refuse to accept community patches and to provide sustainability plan. These factors have resulted in a standstill, though MySQL is still the go-to solution for multiple companies worldwide.
Comparing MongoDB speed vs MySQL, developers note that the latter one lacks speed and experience difficulties with large data volumes, so it’ll be a better choice for companies with smaller databases and looking for a more general solution. While this is one of the advantages of MongoDB over MySQL: the ability to cope with large and unstructured amounts of data.
When to use MongoDB instead of MySQL?
You need to take into account your project requirements and further goals. MySQL is well recognized for its high performance, flexibility, reliable data protection, high availability, and management ease. Proper data indexing can solve the issue with performance, facilitate interaction and ensure robustness. But if your data is unstructured and complex, or if you can’t predefine your schema, you’d better opt for MongoDB. And what is more, if you need to handle a large volume of data and store it as
documents—MongoDB will help you to meet the challenges.
MongoDB is not magically faster. If you store the same data, organized in basically the same fashion, and access it exactly the same way, then you really shouldn’t expect your results to be wildly different.
After all, MySQL and MongoDB are both GPL, so if Mongo had some magically better IO code in it, then the MySQL team could just incorporate it into their codebase.
People are seeing real world MongoDB performance largely because MongoDB allows you to query in a different manner that is more sensible to your workload.
Advice from the author : Choose Wisely.
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Happy Reading guys !
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2. Different articles that I read before writing this on Google.