Many businesses today have a critical need to modernize their data. Data modernization is the process of replacing legacy databases with modern databases. The biggest decision you have to make is whether to use a relational (SQL) or non-relational (NoSQL) data structure.
Let’s start with a quick primer on SQL. SQL, or Structured Query Language, is a database query language designed to manage data in relational databases. Relational databases are those in which data is organized into tables.
NoSQL, or “not only SQL,” is a class of databases designed for more flexible data management than relational databases. NoSQL databases come in many different shapes and sizes, but they all have one thing in common – they don’t use the traditional table-based structure of relational databases.
Instead, NoSQL databases can use a variety of data structures, including document-oriented, column-oriented, and key-value pairs. This flexibility makes them well suited for managing large amounts of unstructured data.
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Critical Differences Between SQL and NoSQL
Let’s look at some of the key differences between these two types of databases.
If you have a structured dataset, then SQL is the best option. In addition, if you need ACID compliance or need to support transactions, then SQL is the best option. However, if you have a large amount of unstructured data, need more flexibility in your data structures, or advanced data analytics, then NoSQL is the better choice.
If you’re still not sure of the best option for your needs, or if you need help implementing or integrating your database solution, Expeed is able to assist you. Just contact Expeed Software today.
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