MongoDB vs. MySQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB
Score 8.6 out of 10
N/A
MongoDB (from "humongous") is an open source document-oriented database system developed and supported by 10gen. 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. According to the vendor, organizations from cutting…
$0.10
million reads
MySQL
Score 8.5 out of 10
N/A
MySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A
Pricing
MongoDBMySQL
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
No answers on this topic
Offerings
Pricing Offerings
MongoDBMySQL
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Community Pulse
MongoDBMySQL
Considered Both Products
MongoDB
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.
Chose MongoDB
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 …
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 …
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
MongoDB is the most reliable and fastest for storing document-based data. It has a place among the most popular DB's these days.
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
MongoDB is very easy to use and the best advantage is the NoSQL database. No concept of the relational database.
Chose MongoDB
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.
Chose MongoDB
I only briefly looked at CouchDB after I already began using MongoDB. Naturally, I have used many relational SQL databases.

Since MongoDB did everything I needed, I saw no need to look around for alternatives.
Chose MongoDB
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.
Chose MongoDB
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.
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
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 …
Chose MongoDB
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
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 …
Chose MySQL
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.
Chose MySQL
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 …
Chose MySQL
As MongoDB does not support relational queries we have to write all queries manually, but My Sql supports this feature through joins.
Chose MySQL
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 …
Chose MySQL
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 …
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 …
Chose MySQL
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 …
Chose MySQL
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 …
Chose MySQL
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 …
Chose MySQL
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 …
Chose MySQL
We let go SQL server as We don't want to use Windows server and bare the cost of Windows licensing.
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 …
Chose MySQL
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 …
Chose MySQL
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.
Chose MySQL
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 …
Chose MySQL
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 …
Chose MySQL
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 …
Chose MySQL
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 …
Chose MySQL
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 …
Chose MySQL
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.
Chose MySQL
Oracle is very mature and best in its class. However the cost is much higher. MySQL is a good alternative option.
Chose MySQL
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.
Chose MySQL
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 …
Top Pros
Top Cons
TrustRadius Insights
MongoDBMySQL
Highlights

TrustRadius
Research Team Insight
Published

Features
MongoDBMySQL
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
9.1
38 Ratings
MySQL
-
Ratings
Performance9.138 Ratings00 Ratings
Availability9.538 Ratings00 Ratings
Concurrency8.438 Ratings00 Ratings
Security8.738 Ratings00 Ratings
Scalability9.638 Ratings00 Ratings
Data model flexibility9.038 Ratings00 Ratings
Deployment model flexibility9.237 Ratings00 Ratings
User Ratings
MongoDBMySQL
Likelihood to Recommend
9.3
(78 ratings)
8.4
(132 ratings)
Likelihood to Renew
10.0
(67 ratings)
9.9
(4 ratings)
Usability
9.0
(14 ratings)
10.0
(6 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Support Rating
9.5
(15 ratings)
8.6
(4 ratings)
Implementation Rating
8.4
(4 ratings)
8.0
(2 ratings)
User Testimonials
MongoDBMySQL
Likelihood to Recommend
MongoDB
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
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Oracle
For smaller database backends, this product works well. Our backend printer management software is using MySQL as its backend and we have not had any issues since it went live 2 years ago. It's also free so no licensing worries.
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Pros
MongoDB
  • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
  • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
  • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
Read full review
Oracle
  • Security: is embedded at each level in MySQL. Authentication mechanisms are in place for configuring user access and even service account access to applications. MySQL is secure enough under the hood to store your sensitive information. Also, additional plugins are available that sit on top of MySQL for even tighter security.
  • Widely adopted: MySQL is used across the industry and is trusted the most. Therefore, if you face any problems, simply Google it and you shall land in plenty of forums. This is a great relief as when you are in a need of help, you can find it right in your browser.
  • Lightweight application: MySQL is not a heavy application. However, the data you store in the database can get heavy with time, but as in the configuration and MySql application files, those are not very heavy and can easily be installed on legacy systems as well.
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Cons
MongoDB
  • An aggregate pipeline can be a bit overwhelming as a newcomer.
  • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
  • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
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Oracle
  • Although you can add the data you require as more and more data is added, the fixity of it becomes more critical.
  • As the demand, size, and use of the system increase, you may also need to change or acquire more equipment on your servers, although this is an internal inconvenience for the company.
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Likelihood to Renew
MongoDB
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
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Oracle
For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
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Usability
MongoDB
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
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Oracle
I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
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Support Rating
MongoDB
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
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Oracle
The support staff is friendly, knowledgeable, and efficient. I only had to get part way through my explanations before they had a solution. They will walk you through a fix or actually connect in and fix the problem for you--or would if you can allow it. I've done it both ways with them. They are always forthcoming with 'how to do this if it happens again' information. I love working with MySQL support.
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Implementation Rating
MongoDB
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
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Oracle
1. Estimate your data size. 2. Test, test, and test.
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Alternatives Considered
MongoDB
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 data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
Read full review
Oracle
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 have great requirements at the performance level.
Read full review
Return on Investment
MongoDB
  • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
  • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
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Oracle
  • It has made site management through a CMS like WordPress or Drupal infinitely easier to manage.
  • It is a critical part of the LAMP, WAMP and MAMP stack and has been a major driver of innovation in the content-management-system space, pushing site and web-application development toward greater democratization.
  • It has proved to be very reliable and easy to set up and administer and saves me tremendous time troubleshooting query and performance issues.
Read full review