Did you know that web applications have recently become a key component of workplace collaboration? Databases are essential in building web applications, making NoSQL a popular choice for enterprises.
Developers need a mastery of various databases and acquaint themselves with various front-end frameworks and back-end technologies. This article sheds more light on what is a NoSQL database.
What is AWS NoSQL and How Does It Work?
You must understand that NoSQL databases use a non-relational approach to store and retrieve data. Therefore they are designed to handle large-scale and unstructured data.
It is ideal for web and big analytics DevOps because they use various data models, such as key-value, document, columnar, and graph. They offer high scalability and performance thanks to their distributed nature. Some popular NoSQL databases include MongoDB, Cassandra, Redis, and Couchbase,
If you use AWS NoSQL databases --you can store data with flexible schema and various models. You get to have high performance and functionality for modern applications.
And you know what? Unlike other AWS databases, NoSQL databases provide low latency and hold large data volumes, so that you can expect a high throughput and quick indexing. Regarding modern applications, AWS NoSQL databases are a great fit. They are agile-- scalable, flexible, high-performance, and provide great user experiences.
Below are the six types of AWS NoSQL databases models which you can choose from;
Ledger Databases
First, we have the ledger databases, which can store data based on logs that record events based on data values. Ledger databases can be handy in creating tools for registrations, supply chains, and banking systems.
Key-Value Databases
Choose the key-value-chain database if you want to store data in pairs with a unique ID and data value using Key-value databases. Given this functionality, they are primarily used in gaming, high-traffic sites, and eCommerce systems.
Comprehensive Column Databases
What are comprehensive databases? These are databases based on tables, and unlike other databases, they don't have a strict column format. Typical uses include fleet management, route optimization, and industrial maintenance applications.
Document Databases
These special-type databases store keys and values in documents written in markup languages. So you can expect compatibility with YAML, JSON, and XML. Some of the best use cases for document databases include catalogs, user profiles, and content management solutions.
Time Series Databases
Choose a time series database if you need a database to store data in time-ordered streams, which users manage based on time intervals.
Graph Databases: Graph databases are designed as collections of edges and nodes. They allow users to track related data; some use cases are social networking, recommendation engines, and fraud detection.
What to Consider When Choosing an AWS NoSQL Service
AWS offers different NoSQL database services, and here are key considerations when selecting an AWS NoSQL service.
Look at the data model and querying capabilities: What type of data and querying capabilities does it support? A good example is: Neptune is best suited to manage complex relationships. But DynamoDB is best suited for dealing with large amounts of unstructured data.
It thus makes sense, before selecting a database, to find out what data model and queries you will be working with. This will help you choose an ideal database that best handles your case.
Think about scalability and performance: NoSQL databases scale horizontally, but what does that mean? Depending on your needs, you can have a database that supports more storage capacity and processing power: so when choosing a database, look at what you can afford vs. what you need. Developers prefer automatically scaling databases to those requiring manual intervention to support more nodes.
Consider the costs: Money is a factor too. Consider costs when determining an AWS NoSQL service. What's your budget for the database and other costs associated with maintaining your database? You must understand that different databases have different pricing. For example, Neptune charges depending on the number of nodes, whereas DynamoDB charges depending on the amount of data stored.
Security and Compliance: Security and compliance are crucial when dealing with sensitive data. Choose an AWS NoSQL database with security features and access control, as this can help your industry’s compliance requirements. This way, you will be able to protect your data best and ensure you comply with the law.
Data Consistency and Durability: When choosing NoSQL databases, you must ensure that your data is consistent even with network issues. With NoSQL databases, you can choose from various data consistency and durability options, giving you the required reliability.
Summary
AWS provides various NoSQL databases--you're most likely to find a solution that fits your needs and provides the required service. When choosing an AWS database for your needs, consider the above factors.