Databases are quite important in managing your project. However, choosing the best database is often a difficult job. You might immediately think of using a popular database instead. However, you need to first confirm whether the database matches the type of data you are using. In addition, its features must also meet the needs of your project, right?
Well, in this article, we will provide recommendations for the best project databases that you can try. Arbitrary? Come on, take a look at the discussion.
What is a Database?
A database is a collection of structured and unstructured data that is systematically stored in a computer. For example, data is in the form of tables, rows, objects, queries and programming code.
The existence of a good database is one of the requirements for your project to run smoothly. For example, website development projects, applications and others.
In addition, you need to manage your project database effectively and efficiently. One way is to use a database application or database management system (DBMS).
A DBMS can help you to input and update your project database or call queries faster.
There are many examples of popular project database applications that you can use. However, what kind of database application do you need for your project?
Best Project Database Recommendations
Here are the best project database recommendations you can try:
1. Oracle
In addition, Oracle is multi-user so that it can be accessed together with other users. Interestingly, as data input increases, generally the data storage capacity will be depleted and the data processing speed will decrease.
However that is not the case because Oracle has a Real Application Clustering feature. This feature will automatically increase the data storage capacity and data processing speed according to your needs.
When it comes to data security, you don't need to worry. Oracle has a User Manager feature to determine user access rights based on certain data. In addition, Oracle is also equipped with password encryption to keep only users who have passwords can access it.
With these features, it's no wonder that Oracle has become one of the popular databases for database development projects of large companies, such as Mcafee and Cisco.
Even so, you can also use Oracle for projects that you do yourself.
Pricing:
Standard – 350 USD
Enterprise – 950 USD
Personal – 460 USD
2. MySQL
Actually, MySQL does not require high enough device specifications. With enough 1 GB of RAM, you can already use it for your database.
Well, if you want to use it with many users, of course the data storage capacity needs to be taken into account in order to handle increasingly large data inputs. Fortunately, the scalability of MySQL is quite good where you can increase the storage capacity up to 1 TB in size.
You also don't need to worry if your project uses a variety of programming languages. Because, MySQL supports C, C++, Java, Perl, PHP, Python, and Tcl, Haskel and Eiffel programming languages.
You don't need to doubt the speed of MySQL. Especially, with the query cache feature that will store all queries in the cache. The goal is that when you call the same query, the server doesn't have to reprocess your query to the database.
The speed of this database application is also offset by its layered security system. First, you can use password encryption for the user. Second, you can set user access based on the type of database, host origin, tables and also columns.
3. Microsoft SQL Server
With the memory optimized tempDB metadata feature, you don't have to worry about the speed of database management being reduced due to the high workload. This feature will move the data tables that you use frequently into the memory optimization table. So, the loading of the data process can be minimized.
Are you planning to increase the capacity of your project data some time in the future? Don't worry, this database has scalability that can be adjusted to the needs of storage capacity, it can even be up to hundreds of terabytes. The condition is, with migration to the Microsoft Azure cloud.
Microsoft SQL Server is one of the best databases for projects that manage a lot of sensitive data. This database has a Data Discovery Classification feature that can group public, private and public data. That way, you can design a security system based on the level of data sensitivity.
It can be said that MySQL is suitable for large enterprise database projects that are interested in protecting their consumer data.
Oh yes, this database also supports programming languages such as Java, PHP, C++, Python, Ruby, Visual Basic, Delphi, Go and R.
Price:
Standard – 1.418 USD per year
Enterprise – $5,434 per year
4. PostgreSQL
First, this database has a good speed when used under high workload conditions. This is thanks to the support of the Table Partitioning feature which breaks large data tables into rows. Furthermore, the data will be read by scanning so that data processing is faster.
Second, this database also has a Multi Version Concurrency Control (MVCC) feature to maintain data consistency. So, when you are developing data, other users will still see the previous data. Other users will see the new data after the data update is complete.
POstgreSQL is a fairly popular database for developers who have projects with a lot of data development. For example, a website or application development project that is done by many developers at once.
In terms of security, PostgreSQL has a role management feature that ensures that each user only has access to the database for which he is tasked.
In addition, this database is equipped with a layered database user management feature. First, you can only allow local host access via local unix socket. Illegal access will be blocked using a username.
Secondly, if you want to give access to users with non-local hosts, you can use the -i option. If you find illegal access, blocking is done with an IP Address.
All the advantages above are still coupled with the ease of using it for free because it is open source. Plus, there's support for familiar programming languages like Python, Java, C#, C/C+, Ruby, JavaScript (Node.js), Perl, Go, and Tcl.