MySQL Reviews

In our company, we are providing an application in PHP language and we need to use another database and we made the decision to use MySQL.

When comparing MySQL to other solutions it is easier to use and boots up faster. Additionally, when you want to query a lot of data, MySQL is better in performance.

The solution could improve the monitoring. At the present time, you need to use third-party monitoring solutions.

I have been using this solution for approximately one year.

When it comes to stability SQL server is better than MySQL. This is an area they could improve.

We have approximately five users using this solution in my organization.

I have previously used SQL Server.

I would recommend this solution to others.

I rate MySQL an eight out of ten.

We developed a network monitoring software and used MySQL as a backend database.

We utilized the two most common and popular MySQL database engines, MyISAM and InnoDB.

We store collected monitoring data and configuration data on MySQL. Also, our network monitoring solution reporting module is based on the MySQL MyISAM database engine.

We use both Windows and Linux versions of MySQL, and we utilize the backup and recovery features.

To summarize, our primary use case is the embedded DB component for our network management software.

MySQL is a popular database platform for businesses because it is extremely easy to use. It is commonly used in combination with PHP and Java. For instance, someone with little to no knowledge of MySQL can easily establish a database connection and start programming immediately.

So MySQL improved our developing process speed. MySQL is a very popular and well-known database solution, so it is easy to find a MySQL developer.

MySQL performance also improved our NMS solution performance.

MySQL is a fast, easy-to-use RDBMS being used for many small and big businesses.

MySQL advantages and valuable points include:

• MySQL is a very powerful program in its own right. It handles a large subset of the functionality of the most expensive and powerful database packages.
• MySQL uses a standard form of the well-known SQL data language.
• MySQL works on many operating systems and with many languages including PHP, PERL, C, C++, Java, etc.
• MySQL works very quickly and works well, even with large datasets.
• MySQL is very friendly to PHP and Java at the same time. Both PHP and Java are our development languages.

The two most common and popular MySQL database engines are MyISAM and InnoDB. Database engines provide the underlying functionality for MySQL to work with and process data. MyISAM is the default engine for MySQL for versions earlier than 5.5.5 and functions well in most scenarios.

However, depending on your needs, there are situations where another database engine, such as InnoDB, may be the better choice. For example, InnoDB supports transactions, whereas MyISAM does not. InnoDB also provides support for foreign keys, whereas MyISAM does not.

When it comes to supporting big data, there is space to improve upon the database engines that are supported by MySQL. An example of this is the Vertica DB engine (https://en.wikipedia.org/wiki/...), and offering support for it would be valuable.

We have been using MySQL for more than ten years.

Previously, we used MSSQL and switched to MySQL because of performance issues.

After installation, the maintanence is easy for an end-user.

MySQL is released under an open-source license, so you have nothing to pay to use it.

We use this solution for the database.

The connectivity with PHP is quite good.

It is easy to integrate, and the fees are less than Oracle and other services.

MySQL is good but it should be able to handle the large transaction levels that Oracle can. It should be able to manage large amounts of data. We have experienced some issues when we are handling a large amount of data in MySQL.

The memory consumption it's using is very high at times, and the default parameter settings are not quite good automatically. We need to tweak the configuration as per the requirements. This is an area that can be improved by giving some guidelines and direction. 

On the database side, it should be really lightweight, and the data structure should be like MongoDB.

It should put less load on to the memory and it should be able to handle maximum data.

I have been working with MySQL for approximately five years.

The solution is stable but there is an issue with memory consumption at times.

I have not contacted technical support. I am using MySQL with Zabbix and when I have an issue, I contact Zabbix who resolves the issues on their end.

I am a developer and I handle the other side of things. I rely on the DB team to handle the maintenance and deployment. My knowledge is very basic.

It's cheaper than other solutions.

For one level of data, you can use MySQL. However, for large amounts of data, you will have to find other databases.

Overall, it's a good solution.

I would rate MySQL a six out of ten.

I used it for a small customer database company in England with 20 employees. They didn't have that much data, and we needed something easy to install and easy to run. This was my use case for it.

My main reason for using MySQL for this small customer database company and for some kinds of scientific projects was that I had to do the installation myself. I didn't have a database administration team behind me. Therefore, I was looking for something very easy to handle. MySQL is easy to install, connect, and do all such things.

Its scalability can be better. It is probably not as scalable as Oracle. 

I had some issues with connectors. I used it from a C++ program, and it required some work to make it run, but finally, it worked.

I have been using this solution for two or three years.

I used it for a small customer database company in England with 20 employees. There were only two people using it. It was really a small solution. For this purpose, it was perfect, but I'm not sure how it scales. It was just not an issue in this case because we had very little data. 

Their technical support is fine.

It is easy to install. It takes just a few hours.

I will probably keep on using this solution. If you have a limited amount of data you want to store in the database, and you don't want to spend a lot of time on administration, it is certainly fine. 

I would rate MySQL a ten out of ten. It was perfect for our use case. 

We are primarily using it as a database for our products. For internally built systems, we have MySQL. We use it internally.

It's our database due to the fact that it's cheaper and is actually free to use.

The product is very easy to use, yes.

It's quite stable.

The solution is very compatible with many versions of Linux. Most of Linux is free, so it's easy to implement with MySQL. Whether it's Ubuntu, CentOS, or different types of Linux, it's the same across other operating systems, and therefore it's very easy to use and compatible with any demand that comes from developers. At the end of the day, MySQL is compatible with most of the platforms.

The solution has been very easy to scale so far.

The installation process is very easy.

The backup methods need improvement. MySQL needs to improve its backup methods so that you can actually do a backup without affecting products. Currently, when you're doing your backup, it locks the database. When someone tries to access it during a backup, it fails to read or to update. They can improve on the backup and all the backup features in general.

I've been using the solution for more than five years at this point. It may be as much as seven years or so.

The solution is very stable. There are no bugs or glitches. It doesn't crash or freeze. It's reliable in terms of performance.

The solution is very scalable. If you want to install it in the machine and scale that machine, you can do so. Or you add more machine nodes whereby you are actually clustering items and you're clustering your database within one site. The solution will actually extend these needs to another site for replication, DR replication.

We have about 20 people using the solution currently.

We do plan to continue to use the solution in the future.

All of our support is internal. We haven't subscribed to outside technical support.

That said, we haven't had any issues with the solution that would require support assistance either.

The initial setup is not complex at all. It is very easy to install as most of the Linux comes embedded so that even if you're under a different administrator, you should be able to just click and install.

Installation doesn't take more than 10 minutes for me. It might take up to 30 minutes or an hour for someone who is new. However, for someone who is used to MySQL, doesn't take more than 10 minutes to set up.

For deployment and maintenance, basically, we would need about three engineers. The one that actually does the hardware infrastructure, the one that does the operating system, and then the one that actually does the MySQL, which is the database administrator.

I handled the implementation myself. I did not need the assistance of integrators or consultants. 

The solution is absolutely free to use. It's one of the reasons we've chosen it.

We do evaluate other solutions. We also use other products, such as Oracle's SQL server.

When a trace comes for MySQL, we will check mostly the cost of installation and the cost for maintaining everything. We are choosing MySQL over the others that are actually licensed solutions mostly due to the fact that MySQL is free.

We are just customers and end-users. We don't have a business relationship with MySQL.

I'd recommend the solution to other organizations.

I would rate it at a seven out of ten overall. 

I used MySQL for academic purposes. I use it for learning purposes.

You can start anything with MySQL.

You can build your own app, and store your data.

It's a free solution for development purposes.

It's a good tool, a good database platform. Everything you can do, you can do for free.

I like that it's open-source and that it's free. 

Typically security will be on a security layer. I haven't really looked into the security of it, but it should be good.

It could be more secure.

I have been using MySQL for 16 or 17 years.

It's a stable solution.

We have trained hundreds of users.

I will continue to use this solution for learning purposes.

We have not contacted technical support.

You can download it and start using it.

It's very easy to install. It's a one-click Windows installation.

You can install and configure everything in a half-hour to one hour.

There is a lot of documentation available.

The maintenance can be done by anyone who has installed and used it.

I have never used the enterprise level of MySQL. 

I use the open-source free community version.

I am sure that the Enterprise version of MySQL is cheaper than Microsoft SQL Server, or IBM and Oracle.

It's cheaper than other tools. 

For anyone who wants to learn SQL, MySQL is free on Linux, Windows, or Mac Operating Systems.

MySQL can be deployed anywhere on the cloud or on a PC.

I would rate MySQL an eight out of ten.

We are using it for RADIUS protocol, which is for network access. We are tracking the duration of user stations.

Table partitioning is most valuable. It is easy to use.

I am looking for the Temporal SQL feature, which basically means that there is complete history for each table. This feature is currently available in MariaDB.

PostgreSQL has something called a foreign-data wrapper, which is another way to access external data from inside. MySQL could have a similar feature.

I have been using this solution intermittently for six months. 

It is stable.

It is scalable. We currently have six users.

I don't have any experience with their technical support.

Its initial setup was straightforward. It took 10 minutes.

I did it myself. We have two people for its deployment and maintenance.

I am not paying, but I am not sure about the exact licensing requirements.

It is always compared with PostgreSQL and Microsoft SQL Server.

I would recommend this solution to others. I plan to keep using it.

I would rate MySQL an eight out of ten.

My daily tasks are related to data mining and TBICO Spotfire is one of the products that I use. We are a small group of geologists operating in a niche area who are analyzing geochemical data. Our backend database is MySQL and we use products such as Power BI, Tableau, and Spotfire to display data for the geochemists.

I perform data-related tasks such as data manipulation and creating views, then updating the database afterward, all using SQL queries. As part of this, I'm making entries as needed or corrections to data that has already been processed.

Essentially, I'm doing data mining with SQL queries, although I wouldn't call what I am doing Data Mining exactly, because I already know the data model. I know the geochemistry data in my head, so I already know what I'm looking for when I write an SQL query. We're not doing machine learning or AI at this point, although it may come in the future.

Every now and then, we create dashboards for the geochemists, which cover their needs from the data.

The most valuable component for me is SQL Developer. It is pretty simple to use and I don't have anything really bad to say about it. It supports multiple window displays and all of the connections are available. A lot of people use Toad for this type of work, but I have not myself.

The functionality that I use most often is querying the data model.

I would like to see an autocorrect option, where if you're typing a query and you enter a comma instead of space, or something similar, the ability for it to be able to understand based on your previous scripts would be an advantage. For example, if you were to put a comma between your AND statements then it's not going to work. Maybe a smarter application where, as you're writing queries, similar to the way that grammar and spelling are checked when you type a text message on an iPhone, it could be autocorrected.

I would like to have the ability to cancel a query in SQL Developer. Specifically, I would like to be able to cancel the query should I accidentally write one that's going to loop, or have a JOIN wrong, where you get millions of records joining with millions of records over and over again. The availability to hit cancel so that it doesn't keep running would be helpful because, when such a thing happens, then you have to shut down the whole application and you lose any queries that you might've typed before.

I have been working with MySQL for approximately nine years.

This application is pretty easy to scale.

Within my department, which is technical data management, approximately 75% of the people use MySQL.

I have never had to deal with technical support from Oracle directly. We just raise tickets that go up and show operations, and in turn, they are the ones that deal with Oracle.

I have used several versions of Oracle MySQL including 10, 11, and 12, and I don't really see any difference between them.

MySQL comes pre-installed with our new PCs, so I have never been involved with the initial setup.

On the operations side, based on what I have seen in terms of people putting in tickets for issues, it seems that we have three people who support and maintain MySQL at different levels. I feel that having this number of resources assigned to maintaining a database is wasteful.

I think that a single person can be in charge of maintaining multiple databases.

As a data analyst, I am not in operations and don't have a say in which products we use.

My advice for anybody who is implementing MySQL is to ask around because there are many different ways that you can create a database now. Relational databases are no longer the best way to organize your data. It really depends on what it is that you're doing. For example, you may not need a relational database, but instead just a file structure. So, look at all of your options and speak with the experts to see what kind of database is needed before assuming that you need an RDBMS.

I would rate this solution an eight out of ten.