IDERA SQL Diagnostic Manager vs. MySQL

SQL Server [Business Intelligence] Manager is useful for tracking performance across SSIS, SSRS and SSA and have the data represented in dashboards. It helps improve performance and helps end users. However, several features are redundant for smaller organization that can use the tools that comes with existing Microsoft products. These features also takes time to learn and use.

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MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.

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• SQLdm does a good job of providing information at a high level, but also allows me to drill down to specific queries and events if needed. I don't always need to sift through tons of details to get the information I need. It also gives a very wide range of information from SQL specific metrics, to OS metrics, to VM metrics, all the way up to host server metrics.
• I like how the alert and notification system can be customized. For example, if you know a certain server regularly has long-running queries, you can adjust the alert to not fire unless a query has been running for 30 minutes while the rest of the servers fire after 30 seconds. That is very helpful in not being bombarded at dinner with alerts from a server similar to, "I've been at 90% cpu for 26 milliseconds!!!!!!!...and now it's back down to 30%" Good information to know, but not something you need to literally lose sleep over.
• I like how you can configure different servers to be monitored differently. For example, you can have a group of servers called DEVELOPMENT that you can turn on heavier monitoring on so you can test how changes in applications might affect the SQL environment, but in the PRODUCTION group, you may only want to enable the heavier analysis and logging when performance issues are actively being reported.

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• Stable - it just runs, with minimal downtime or errors
• Fast - well-structured data is quickly written and read
• Secure - MySQL is easy to keep data secure from people and applications that shouldn't see it
• Easy to use - SQL is industry standard so no problems with adding, editing and reading data stored in MySQL

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• Windows client has some issues. When you have small time intervals for your data collection, it can cause the client to become unresponsive and require you to restart it.
• It takes more time to get the web client running than it does to get the windows client running.
• The visualizations have been the same for the last eight years--could use a little bit of a refresh.

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• Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
• Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.

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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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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.

We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.

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1. Estimate your data size. 2. Test, test, and test.

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IDERA SQL Diagnostic Manager for SQL, Redgate SQL, and MonitorLogicMonitor are similar products to each other. We decided on IDERA SQL Diagnostic Manager for SQL because our experience with locating heavy queries has been very good and it provides real-time monitoring of all servers and databases. It also allows you to have a large volume of historical data which allows you to analyze trends in the databases.

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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 in the event of a DR or outage.

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• Allows us to quickly set up ETL processes as soon as we installed SQL Server.
• There's a lot of free/paid resources available online, decreasing development time.
• A tool with plenty of experienced developers.

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• As it is an open source solution through community solution, we can use it in a multitude of projects without cost license
• The acquisition by Oracle makes you need to contract support for the enterprise version
• If you have knowledge about oracle databases, you can get more out of the enterprise version

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