Amazon Web Service- Amazon RDS Database Engines
Amazon RDS Database Engines
1. SQL Server:
ü SQL Server is a Relational Database developed by Microsoft.
ü SQL Server is easy to set up, operate, and scale the SQL Server deployments in the cloud.
ü With the help of Amazon RDS, you can add multiple editions of SQL Server such as 2008 R2, 2012, 2014, 2016, 2017 in minutes with cost-effective and re-sizable compute capacity.
ü It frees you from managing the time-consuming database administration tasks such as provisioning, backups, software patching, monitoring, and hardware scaling.
ü It supports “License-included” licensing model. In this model, you do not have to purchase the Microsoft SQL Server licenses separately.
ü Amazon RDS provides high availability of MS SQL Server using multi-availability zone capability, and this reduces the risk to set and maintain the database manually.
ü It manages the provisioning of the database, version upgrades of MS SQL Server and disk storage management.
2. Oracle:
ü It is a very popular relational database.
ü It is used by big enterprises but can be used by other businesses as well.
ü Oracle is a Relational Database Management developed by Oracle.
ü It is easy to set up, operate, and scale Oracle deployment in the cloud.
ü You can deploy multiple editions of Oracle in minutes with cost-effective and re-sizable hardware capacity.
ü Amazon RDS frees you from managing the time-consuming database administration tasks. You need to focus on the development part.
ü You can run Oracle under two different licensing models, i.e., “License Included” and “Bring-Your-Own-License”.
3. MySQL:
ü It is an open source relational database.
ü It is free to download and use.
ü It is very popular in the developer community.
ü It is easy to set up, operate, and scale MySQL deployments in AWS.
ü You can deploy MySQL Servers in minutes with cost-effective and resizable hardware capacity.
ü It frees you from managing the time-consuming database administrative tasks such as backups, monitoring, scaling and replication.
ü An Amazon RDS supports MySQL versions such as 5.5, 5.6, 5.7, 5.8, and 8.0 which means that the code, applications, and tools that you are using today can also be used with Amazon RDS.
4. PostgreSQL:
ü It is an open source Relational database for enterprise developers and start-ups.
ü It is easy to set up, operate, and scale PostgreSQL deployments in the cloud.
ü With Amazon RDS, you can scale PostgreSQL deployments in AWS cloud in minutes with cost-effective and resizable hardware capacity.
ü It manages time-consuming administrative tasks such as PostgreSQL software installation, storage management, replication for high availability, and backups for disaster recovery.
ü The code, applications, and tools that we use today can also be used with the Amazon RDS.
ü With few clicks in AWS Management Console, you can deploy PostgreSQL database with automatically configured database parameters for on optimal performance.
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5. Aurora:
ü It is a relational database, and closed source database engine.
ü It is compatible with MySQL and delivers five times throughput of MySQL on the same hardware.
ü It is also compatible with PostgreSQL and delivers three times throughput of PostgreSQL on the same hardware.
ü Amazon RDS with Aurora manages the time-consuming administrative tasks such as software installation, patching, and backups.
ü The main features of Aurora are fault-tolerant, distributed, a self-healing storage system that auto-scales upto 64 TB per database instance.
ü It provides high-performance, availability, point-in-time recovery, continuous backed up to S3, and replication across three availability zones.
5. MariaDB:
ü MariaDB is an open source relational database developed by the developers of MySQL.
ü It is easy to set up, operate, and scale MariaDB deployments in the AWS cloud.
ü With Amazon RDS, you can deploy MariaDB databases in minutes with cost-effective and resizable hardware capacity.
ü It frees you from managing the time-consuming administrative tasks such as software installation, patching, monitoring, scaling, and backups.
ü Amazon RDS supports MariaDB versions such as 10.0, 10.1, 10.2, and 10.3 means that the code, applications, and tools that you are using today can also be used with the Amazon RDS.
A DB instance is an isolated database environment running in the cloud. It is the basic building block of Amazon RDS. A DB instance can contain multiple user-created databases, and can be accessed using the same client tools and applications you might use to access a standalone database instance. DB instances are simple to create and modify with the AWS command line tools, Amazon RDS API operations, or the AWS Management Console.
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vSecurity in Amazon RDS:
Cloud security at AWS is the highest priority. As an AWS customer, you benefit from a data center and network architecture that are built to meet the requirements of the most security-sensitive organizations. Security is a shared responsibility between AWS and you.
ü Security of the cloud – AWS is responsible for protecting the infrastructure that runs AWS services in the AWS Cloud. AWS also provides you with services that you can use securely.
ü Security in the cloud – Your responsibility is determined by the AWS service that you use. You are also responsible for other factors including the sensitivity of your data, your organization’s requirements, and applicable laws and regulations.
v Parameter Group:
Database parameters specify how the database is configured. For example, database parameters can specify the amount of resources, such as memory, to allocate to a database.
A parameter group is a collection of engine configuration values that you set for your RDS database instance. It contains the mapping of what you want each of these over 400 unique parameters to be set to. Amazon RDS defines parameter groups with default settings. You can also define your own parameter groups with customized settings. Some DB engines offer additional features that you can add to your database as options in an option group. For information about option groups, see Working with option groups.
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