Before, cloud companies were required to deploy and manage databases on their in-house servers. This required monetary resources, time, and personnel for the efficient work of the infrastructure. It was an excessively tedious job, especially for small-scale companies. Cloud service provisioning changed everything by providing managed services in various domains required for infrastructure setup, including databases. In this blog, we will be discussing the following:
What is AWS?
AWS (Amazon Web Service) is a set of cloud services provided by Amazon, which also provides various databases as part of its service suite. These Databases allow users to build use-case-specific data models, including relational, graph, wide-column, etc. AWS fully manages these databases, freeing users from tasks such as server provisioning, patching, and backup, which are incredibly time-consuming.
Must-read: Amazon Web Services (AWS): Benefits, Use Cases, Applications
Advantages of Amazon AWS Databases
- Fully Managed: AWS Database services are fully managed services that relieve many of the setup, management, and monitoring responsibilities off of the business’s shoulders.
- Scalable: AWS provides a set of Databases that are highly scalable when compared to popular alternative databases. This is true for both the relational and non-relational databases provisioned by AWS.
- Highly available: Given its global infrastructure setup and fault tolerance mechanism, AWS provides highly available and reliable services across the globe.
- Security: Provides highly secure services due to the implementation of multi-level security systems like network isolation and end-to-end encryption.
Types of AWS Databases
As stated previously, AWS provides a variety of relational and non-relational databases as cloud services for users. Given below is a list of these database services.
- Amazon Aurora
- Amazon Redshift
- Amazon RDS
- Amazon Dynamo
- Amazon ElastiCache
- Amazon DocumentDB
- Amazon Keyspaces
- Amazon Neptune
- Amazon Timestream
- Amazon Quantum Ledger Database (QLDB)
Some of the most popularly seen databases are the Amazon Aurora, Amazon Redshift, and Amazon RDS, which are relational databases, and use SQL (Structured Query Language ) to manipulate data stored in tabular formats. Amazon DynamoDB, on the other hand, is a NoSQL database that stores data in the form of key-value pairs. Amazon ElasticCache is an in-memory database where most of the memory is stored in the RAM.
Let’s now look into these in further detail to understand these databases’ applications better.
Popular AWS Databases
Now that we’ve understood what AWS databases are and their many benefits, let us talk about some of the most popular AWS Databases.
RDS (Relational Database Service)
Relational Database Service (RDS) is a fully managed service provided by AWS. It allows users to set up, manage and monitor a database in the cloud. Seven engines are provided by the service to choose from MySQL, MariaDB, Oracle, and SQL Server, and these engines provide support for DBMSs like MySQL.
Benefits of Amazon RDS
- It is a highly scalable Relational DBMS that allows for high performance in the Infrastructure.
- A sizeable global infrastructure with multiple availability zones and replication capabilities provides highly available service provisioning.
- Auto maintenance and upgrades aid in ease of use of the services from a management standpoint.
- Auto backup and restore capabilities lead to increased consistency and durability of customer data.
Redshift
Amazon Redshift is a petabyte-scale data warehousing service provided by Amazon and is a fully managed service. It allows us to interpret data to gain more insight into the business and customers. It offers query performance using SQL-based tools and business intelligence applications, regardless of data set size.
Benefits of Amazon Redshift
- Allows us to perform the execution of parallel queries across multiple system nodes.
- Provision of auto-Backup on Amazon S3.
- It is more cost-efficient when compared to other competitive data warehouse services.
- Provision of built-in security in the form of end-to-end encryption and user-configurable firewall rules.
Aurora
Amazon Aurora is another Relational Database Engine, fully managed by AWS and compatible with MySQL and PostgreSQL. It has better performance capabilities than most commercial databases, with throughput capability of up to five times when compared to MySQL and three times when compared to PostgreSQL. It is a high-performance storage subsystem with scaling capabilities limited to 128 tebibytes per cluster. Aurora has auto clustering and standardizing capabilities that ease the challenge of database configuration and administration.
Benefits of Amazon Aurora
- It’s a highly scalable managed database service with a high throughput compared to other databases.
- Provides security due to the implementation of end-to-end security.
- Highly durable and available services.
- AWS fully manages it as a part of the Amazon RDS suite.
DynamoDB
Amazon DynamoDB is a NoSQL database service fully managed by the AWS cloud. It provides fast, predictable, and seamlessly scalable performance. It aids businesses by offloading operating and scaling burdens in a distributed database. It provides managed security, backup, and recovery services, in a highly available and durable manner.
Being a non-relational database system, there are three main components of a database in DynamoDB.
- Table: Non-structure collection of data, with a fixed number of rows and columns.
- Items: contain a group of uniquely identifiable attributes.
- Attributes: data elements that reside in each item and are equivalent to a cell in a relational database table.
Benefits of Amazon DynamoDB
- It is easy to set up and manage the NoSQL Database service.
- Provides auto-replication of data across multiple availability zones in the global infrastructure.
- Secure due to provision of encryption at rest.
- Provision for on-demand Backup and restoration capabilities.
ElastiCache
Amazon Elasticache is an easy-to-setup, managed, and scalable web service provided by AWS as a part of its database services. It can be used for caching data in order to accelerate applications and performance. It will also come in handy as primary data for applications where data durability is not a priority. Amazon Elasticache is fully compatible with Redis and Memcached.
Benefits of Amazon ElastiCache
- Reduced response time since Elasticache retrieves data from an in-memory system.
- Reduced dependency on disk-based databases.
- Auto-scaling and extremely elastic; scales up and down as per application requirements.
- Fully-managed services, so all administrative tasks (backup and recovery, provisioning, etc.) are automated.
Conclusion
With this, we come to the end of the AWS Database blog. We have attempted to brief you about the various database services Amazon provides. Hope you now have a basic understanding of it and would be able to utilize this knowledge fully whenever it’s required. You can also learn about various AWS Certifications and understand if it’s something you can benefit from.
Source: GreatLearning Blog
