MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
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MySQL
Score 8.2 out of 10
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MySQL is a popular open-source relational and embedded database, now owned by Oracle.
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MongoDB
MySQL
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Dedicated
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MongoDB
MySQL
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Fully managed, global cloud database on AWS, Azure, and GCP
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Community Pulse
MongoDB
MySQL
Considered Both Products
MongoDB
Verified User
Employee
Chose MongoDB
I have used KairosDB, Cassandra and MySQL and mongodb proves out to be the best of them. Mainly due to it being a document-oriented database.
MySQL is a great for querying related data, but it's unable to store structured data and has a fixed schema. Also SQL can be non-intuitive. DynamoDB, CouchDB and Redis all make querying the data quite difficult and lack important features. The problem CouchDB tries to solve is …
Verified User
Engineer
Chose MongoDB
I love MySQL, but again, it's a totally different use-case. For something with so much varied data in no particular form or structure that needs to be pooled together in a "data lake," a NoSQL solution like MongoDB is an easy choice. It makes it so much easier not having to …
MongoDB is the best NoSQL database out there. There are others, but Mongo has the largest community, is very easy to set up, and is extremely performant. Compared to a relational DB (like MySQL or Postgres) is like comparing apples and oranges. One isn't better or worse than …
In our early development days we weighed NoSQL databases like MongoDB with RDBMS solutions like MySQL. We were more familiar with MySQL from past experience but also were wary of painful data migrations that slowed down development iterations and increased the risk of outages …
The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for …
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your …
The flexible structure underlying MongoDB's construction is not found in other competitors; the ability to easily change the structure without affecting other stored documents. It is very ideal for projects that you cannot predict that the structure will change this way. Of …
It's very fast and easiest to use. Many companies are using this nowadays. It's helped to complete many software products very quickly so the year income has increased compared with last years. Many programmers are now leaning this tool as back end developers so that we changed …
MongoDB is our go-to database solution for any project, and the more we work with it the more we love it. Some say that NoSQL is pointless... Our developers wholeheartedly disagree, because they love working with it. Though both NoSQL and SQL have their purposes, in most …
We tend to choose MongoDB when we're faced with a particular situation: we know that we need a NoSQL database in general, and want an open-source implementation that allows us to prevent against platform lock-in. Amazon's new DocumentDB product even allows us to choose to use …
MongoDB is the most complete database of NoSQL type. In my opinion, it has all the tools for a good development of a database. I have not had problems when using the application.
You can use MongoDB with the same use cases you use other relational databases, the difference is that with MongoDB you can do the same but easier and faster.
MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.
Other platforms had specific parts of what we were looking for - MongoDB had it all.
From the beginning, we thought we would have a large volume of data, so MongoDB was a natural choice. Next we started the project and found MongoDB is also developing new features that are more like SQL which was very nice for us. As data volume is growing with time, no need to …
Relational DB are not efficient when storing data structure like JSON. Different data structure can be stored without defining the schema. Most relational db might store data like Json as blobs. One single entry would store the entire JSON as blob and you can't query the …
MongoDB is my only NoSQL database that I have used. I have used SQL databases and don't find them as enjoyable. I code in full stack JavaScript and it blends perfectly with this. I know that there are competitors in this space, and I need to take time to try them all out. I …
I selected MongoDB because it works for well with web interfaces. All of the RDBMS alternatives would have required a lot more time writing schemas and working around retrieving data and mapping it. That could have been somewhat mitigated with Entity Framework, but that again …
MySQL
Verified User
Engineer
Chose MySQL
If you are looking for a relational database (depending on your app), MySQL is a good place to start. MongoDB and Cassandra are NoSQL options (very powerful). I am more inclined towards PostgreSQL as it's more scalable over time. MySQL was bought by Oracle and the community …
Postgres, SQL Server, DB2, Oracle, DashDB, MongoDB, RedShift - all of them have their strengths and weaknesses. I will say this about MySQL though, it is generally the first database chosen by a startup. It's easy to use, easy to deploy, free, and it just works.
The main argument of this decision was by popularity. At the time (2010), MySQL was the most popular open source database. Between 2010 and today, we evaluated different databases and PostgreSQL is a great competitor. SQL Server is good for windows applications but it's not …
Comparing MongoDB vs MySQL performance is difficult, since both management systems are extremely useful and the core differences underly their basic operations and initial approach. However, MongoDB vs MySQL is a hot argument that has been going on for a while now: mature …
MySQL is a standard across many industries and is familiar to most developers as a result. When comparing to something like MongoDB, most developers are more familiar and comfortable with MySQL. When comparing to something like Oracle, MySQL clearly wins in the expense …
If you are looking for a relational database (depending on your app), MySQL is a good place to start. MongoDB and Cassandra are NoSQL options (very powerful). I am more inclined towards PostgreSQL as it's more scalable over time. MySQL was bought by Oracle and the community …
It would be hard to make a case for the use of Microsoft Access for any but the most simple of internal business applications at this stage, not because it is a bad product but it falls well short of the power and scalability of MySQL and almost any other databse solution out …
MongoDB is an application oriented solution with unstructured data. Percona Server for MySQL is a good solution when looking for performance peaks and the amount of data grows continuously over time. MySQL is the ideal solution when we have a data schema defined and we do not …
MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant …
The primary reason we use MySQL instead of MongoDB is because we are in a large, legacy enterprise environment. MySQL works well and has all the necessary integrations with the various other software tools in our company's suite. Additionally, MySQL is a relational database …
We let go SQL server as We don't want to use Windows server and bare the cost of Windows licensing.
Verified User
Engineer
Chose MySQL
Having used both PostgreSQL and Microsoft SQL Server, I can tell that MySQL performs admirably in a Linux setting. When compared to Microsoft SQL Server, the extra benefit is the minimal or nonexistent licence fee. We find that MySQL's programming interface is particularly …
A bit on the more complex side, but definitely one of the more popular solutions between our customers. As a stable alternative to the sometimes really pricy Oracle DB, it performed well for most of our not-database-heavy projects. It was a bit slower than no-SQL solutions on …
It is one of the tools that we had stopped using some time ago and in the last year we amplified its use thanks to its benefits and new functionalities.
Of course compare to no SQL databases it's slower but there is a completely different use case for them... In my opinion it is better than PostgreSQL, it's easier to configure and has the same performance, or approximately the same. Of course Oracle Database is a way bigger …
MySQL is a most generic implementation of a database of a sort that is coherent with major designs of web engines and frameworks. As it works in cross-platform environments and easy to deploy it seems to be a competitive choice and prospective solution for integration into web …
We have used Oracle as our clinical databases that stores patient records. In this project we didn't used Oracle but separately built MySQL based data infrastructure as this is an independent scientific research project. Oracle is great overall, with most of functionalities …
MySQL has it's pros / cons. The best things about MySQL are that it is open-source/free and has such a vast community of users. If you want a free database MySQL is the quickest to use, but if you're trying to build a strong foundation for your company, I prefer Postgres. If …
I have the most experience with MySQL so I feel most comfortable using and implementing it. I like it over MSSQL just because I'm not a fan of some of the features MSSQL has. My Mongo and Hadoop experience was for a very specific purpose and they better matches the project …
MySQL provides a feature to easily move to another technology. As we know, most of the users like to use MySQL in the backend because it reduces the overall business cost. No need to pay additional charges. Regularly updated.
MySQL is lightweight. It is meant to be used properly with proper architecture. Minimizing the information saved into MySQL is the key. Find the right person to turn MySQL, and deploy the MySQL properly.
Percona optimizes MySQL that comes from Oracle. They also provide tools for backup and monitoring. They have an open source version, but customers can also use their support. The positives are in the optimization, but that means once Oracle releases MySQL, one needs to wait …