For Amazon RDS databases What does AWS perform on your behalf choose two
With Amazon Backup, you can centrally configure backup policies and rules, and monitor backup activity for AWS RDS database instances. The Backup service automates and consolidates backup tasks previously performed service-by-service, removing the need to create custom scripts such as Lambda functions and manual processes. Show
You don’t have to be an IT expert to understand that the need to use and manipulate data has grown massively in recent years. However, simply using and manipulating data is not enough if you are not doing it with efficiency, security, scalability, and availability. Companies that understand this and make use of the best tools on the market have the best chance of success. That is why you should consider Amazon Web Services (AWS) services to store your databases. AWS offers a vast list of database services1 for different use cases and today we will discuss the principle differences between two of the most popular types:
However, before we dive into the specifics of each service we first need to understand the differences between relational and non-relational databases. Relational (SQL) vs Non-Relational (NoSQL)In short, relational databases use predefined schema and store data in rows and columns like a spreadsheet, whereas non-relational databases such as DynamoDB have dynamic schema, are document-oriented, and scale horizontally. Relational (SQL)Relational Databases make use of Structured Query Language (SQL) to interact and have a predefined schema. SQL is a very well-known query language that most Database Administrators (DBAs) are familiar with. The SQL schemata always have relational and tabular data, containing rules to ensure consistency and integrity. They contain tables with columns (attributes) and rows (records), and keys have constrained logical relationships. SQL databases abstract data as a set of tuples organized into relations, which allows for abstraction over the physical representation of data and access paths. SQL databases can be scaled vertically, by increasing the processing hardware power (for example, increasing a single server workload by increasing RAM, CPU, SSD, etc). Advantages of Relational (SQL)
Disadvantages of Relational (SQL)
Non-Relational (NoSQL)NoSQL is a class of Database Management Systems that are non-relational and do not use SQL, but have dynamic schemas for unstructured data. They can have different types based on their data model:
NoSQL is the best database class for large amounts of data or data sets that are changed frequently. If you are working with large amounts of unstructured data, document databases are a great option. Whereas, as mentioned before, SQL databases can be scaled vertically, NoSQL can be scaled horizontally, which makes the scalability way easier by increasing the number of servers or nodes. Advantages of Non-Relational (NoSQL)
Disadvantages of Non-Relational (NoSQL)
Now that we understand the core concepts of relational and non-relational databases, we can see what database options AWS provides and how they make data storage easier. RDS (SQL) vs DynamoDB (NoSQL)The primary advantage of RDS and DynamoDB is that they are fully managed by AWS. But, what does being a fully managed service mean? It means that the underlying operating system and some core components of the service are completely managed by AWS. AWS automatically performs routine tasks such as provisioning, patching, backup, recovery, failure detection, and repair. This is in contrast with running a database on-premises or on an EC2 instance (AWS service used to create virtual machines), and having to take care of the operating system, patching, backups, and availability. Instead, by using RDS or DynamoDB, you’re reducing administrative overhead and the best part of using one of these two services is that all you need to do is take care of the data. Now, let's talk about the particulars of each service. The Amazon RDS service allows you to set up, operate, and scale relational (SQL) databases on AWS. Amazon RDS makes it easy to use replication to enhance availability and reliability for production workloads. AWS provides six SQL-based database engine options:
AWS provides several instance types with different combinations, such as CPU, memory, storage options, and networking capacity. Each type comes in a variety of sizes to suit the needs for your workload. By choosing one of the engines above along with its version and specifying some configurations like instance type, storage size, and network specs, you can spin up a new fully-managed relational database on AWS. Features of RDS
The Advantages of Amazon Aurora as an RDS Option AWS also offers the Aurora Serverless, which is an on-demand, auto-scaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. It enables you to run your database in AWS without managing any database capacity. Application Use Cases
AWS RDS options like Amazon Aurora are great options if you want to make use of a relational database without administrative overhead and high availability for your application. DynamoDB is the option that AWS offers for non-relational (NoSQL) databases. As we learned above, there are multiple types of non-relational databases, and DynamoDB supports the following data structures: Like RDS, DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with easy scalability. The key point is that AWS provides DynamoDB as a serverless solution. By using DynamoDB, there are no servers to provision, patch, or manage, and no software to install, maintain, or operate. DynamoDB automatically scales tables to adjust for capacity and maintains performance with zero administration. In DynamoDB, tables, items, and attributes are the core components that you work with. A table is a collection of items, and each item is a collection of attributes. DynamoDB uses primary keys to uniquely identify each item in a table and secondary indexes to provide more querying flexibility. The only mandatory attribute is the partition key, which is similar to a primary key in a relational database. You also have the option to create a second attribute called sort key, which lets you get a bigger and faster return of the data. For provisioning and charging, AWS utilizes CUs (Capacity Units) that are informed at the time the table is created.
Features of DynamoDB
DynamoDB Accelerator (DAX) DAX does all the heavy lifting without requiring developers to manage cache invalidation, data population, or cluster management. Application Use Cases
[1] https://aws.amazon.com/products/databases/ Conclusion: RDS vs. DynamoDB, Which is Right for You? RDS solutions tend to be a popular choice within ERP, CRM, financial data, and transactional applications. RDS allows you to set up, operate, and scale relational (SQL) databases on AWS, with several instance types available. AWS DynamoDB is a serverless solution that automatically scales tables to adjust for capacity, with no administration necessary on your behalf. Some common applications include real-time bidding, shopping carts, mobile applications, and high I/O needs. As an AWS Premier Tier Services Partner, Mission works with our customers to determine the best custom solution to fit their needs. Our analysts can work with you to determine which database (RDS or DynamoDB) is better suited for the needs of your business. What does RDS manage on your behalf?Amazon RDS manages backups, software patching, automatic failure detection, read replicas, and recovery whether your DB Instances are deployed inside or outside a VPC.
Which of the following features of Amazon RDS allows for better availability of database choose two?Amazon RDS Multi-AZ deployments provide enhanced availability and durability for database instances, making them a natural fit for production database workloads. When you provision a Multi-AZ database instance, Amazon RDS synchronously replicates your data to a standby instance in a different Availability Zone (AZ).
Which database engines are supported by Amazon RDS choose 2?Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora , PostgreSQL , MySQL , MariaDB , Oracle Database , and SQL Server .
Which of the following are benefits of the AWS's relational database service RDS )?Amazon Relational Database Service provides resizable capacity while it automates administration tasks such as hardware provisioning, patching, backups and database setup. Amazon RDS is secure and allows faster performance.
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