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How to Choose the Right NoSQL Database for Your Needs

The landscape of database options has changed in the last decade, thanks to the rise of NewSQL. Now there are more databases out there than ever, each with its own pros and cons, strengths and weaknesses. Choosing the right NoSQL database can be difficult, so it’s important to know what to look for before you dive in head-first. This guide will teach you how to choose the right NoSQL database for your needs, saving you time and money. Read on to learn everything you need to know about NoSQL databases! 

Why Use a NoSQL Database? 

NoSQL databases can be used in a variety of different ways. Some people use them as an alternative to a relational database, while others use them as an addition to other traditional databases. Regardless of how you use them, there are some important considerations when choosing which kind of NoSQL database you need. These questions will help you figure out what is best for your needs:  

  1. How big is your data set? 
  2. What kind of queries do you need?  
  3. How many computers will this database run on simultaneously?  
  4. How often do you need access to this data set? 
Document Databases 

A document database is a type of database that stores data as documents. These databases are most commonly used in scenarios where you want to store and retrieve large amounts of unstructured data. They are also commonly known as schemaless or schema-less databases. 

Key/Value Databases 

Key-value databases are a type of NoSQL database that stores data in the form of key-value pairs. Key-value databases can be used in cases where you have a very high volume of data and need fast access time, or when you have low latency requirements. 

Graph Databases 

NoSQL databases allow you to store unstructured data in a variety of formats, which is perfect if your information doesn’t fit neatly into rows and columns. Some popular choices are MongoDB, Cassandra, CouchDB, and HBase. 

RDBMS + NOSQL = Polyglot Persistence 

In this new era of polyglot persistence, developers are using a mix of relational databases and non-relational databases. It is not uncommon to have an application that runs on both MySQL and MongoDB, for example. The reason for this is that there are pros and cons associated with each database type. 

How Does NoSQL Database Work? 

NoSQL databases use various data models to access and manage the data. These databases are optimized specifically for applications that require extensive volume data, low latency, and flexible models that are achieved by relaxing the data consistency restrictions of other databases. 

Benefits of NoSQL 
  1.  Performance: The scale-out structure of the NoSQL database is valuable when data volume or traffic increases. NoSQL databases are optimized for specific data models and access patterns, allowing higher performance rather than trying to accomplish similar functionality with a relational database. 
  2. Simplicity  
  3. Scaling up: instead of just using more servers, NoSQL databases can be scaled out through the use of commodity hardware. This means it has helped provide visitors with 0 downtimes which is why it is often the preferred option for growing databases. The ability to scale up (increase size) also gives it more potential power. 
  4. Data Redundancy  
  5. Low Costs 
Choosing the Best One for your Use Case 

Choosing the correct type of database can be confusing. If you’re not sure what might be best for your use case, here are a few things to consider:  

  1. Which type of data do you need?
  2. How fast do you need it?
  3. What’s your budget?
  4. What is your experience with relational databases like MySQL or Oracle? 

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