5 factors to consider when choosing Open Source Databases

Nowadays databases power almost every application you can think of. It can be an e-commerce giant or a social media tool company which stores user information. Databases are like the hidden workhorses of many organisation’s IT systems, holding critical business intelligence data and carrying out hundreds of thousands of transactions each day.

Most companies today need some sort of database for their needs, but it’s not always easy to know which one would best fit your needs. Databases initially started out as sets of punch cards, but are now monstrous databases capable of storing high amounts of information. There can be times when companies IT departments fall short of their budgets and not every one can afford databases from Microsoft or Oracle or even IBM. That’s when they decide to go for open source databases. But would you trust your mission-critical applications to an open source database? What are the factors which are essential while choosing an open source databases? Read on…

5 factors to consider when choosing Open Source Databases

Data Size:

When choosing a database, first things first, you should always consider the total amount of data that you need to retrieve and store as important date in the database. The amount of data that you can retrieve and store may vary depending on the combination of the selected data structure and the ability of any database to differentiate between various data sets available across multiple servers and file systems. Therefore you would need to choose the database by considering the overall volume of data generated by a software app at any specific rate, and also the size of data that needs to be retrieved from the database.

Better Speed, Performance and Scalability:

Your organization must check the speed and performance that is required for reading and writing individual sets of available data into the database.Some databases are used to maximize read- heavy applications whereas some others are used for write- heavy solutions. Getting to know the applications input/output needs can help in selecting the right database thereby helping the organization to have a scalable architecture.

Data Safety and Security:

You should also check the level of security that a database provides with the data being stored. In terms of highly confidential data, be it security tokens, user information etc you need to have top notch security for your database. Backup plans or security measures should be set in place if there is database crash or failure.

Data Framework and Structure:

The framework structure of the data is nothing but the manner in which you need store and retrieve the data. Every organization should choose a database, considering the right data structure framework for storing and retrieving the data sets. If the time taken to retrieve the data from the database becomes more, this may delay your coding and development efforts.

Data Accessibility:

You should also consider the number of users that may concurrently access your database to perform any operation on available data and also the level of computation involved in accessing any set of data. The speed of your applications might hit a setback if the database chosen isn’t enough to handle heavy loads.

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