For tasks like financial analysis, budgeting, forecasting, and data visualization, I frequently use Microsoft Excel. I can develop financial models, use pivot tables to examine enormous datasets, and produce eye-catching visualizations thanks to its comprehensive features. I have, however, also come across circumstances in which Excel isn't the best tool.Excel falls short of alternatives like Google Sheets when I need to collaborate with my team in real-time. I favor employing robust database management systems or data analysis tools like SQL, Python, or R for managing very big data sets or sophisticated calculations. I use specialized tools like SPSS, SAS, or programming languages for better outcomes when complex statistical analysis or machine learning are necessary. And finally, for formatting elaborate reports, In conclusion, even though I consider Excel to be a great tool for many finance jobs, there are some limits in collaborating, processing big amounts of data, performing complex analysis, and creating documents that I take into account when choosing the best tool for the job.
From my own perspective and the tasks that I perform on a daily basis, MySQL is perfect. It has a reasonable footprint, is fast enough and offers the security and flexibility I need. Everyone has their preferred applications and, no doubt, for larger data warehouses or more intensive applications, MySQL may have its limits, but for the area that I operate in, it's a great match.
It is very good at embedded formulas and tying cells to one another
It allows me to compare deals terms on a side-by-side basis and talk my clients through it easily.
It is very helpful as well in terms of allowing me to filter/sort results in many different ways depending on what specific information I am most interested in prioritizing.
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.
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.
It comes with MS Office. Unless we stop using PCs or Microsoft Office, it's highly unlikely, even imperceivable to not continue to use Excel. It would be nice to see more Excel functions used, though, beside basic tables and calculations.
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.
Microsoft excel stands out in its User Interface as compared to any other software which offers same functionality. It can be used by a beginner as well as the expert in the same field. It is having many features as we dig deep in it like advance functions, dynamic arrays, pivot, VBA and Macros.
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.
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.
We utilize Tableau and Alteryx in addition to Excel. We use Excel since we have a data dump that could be utilized in feeding for these two solutions. We select Excel for some manual work then plug the data into the other two tools for further analysis around text analytics like word clouds in Tableau, or text mining in Alteryx. Excel is an input data source that we use in conjunction with these two.
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.
