Amazon Relational Database Service

Last updated
Amazon Relational Database Service
Developer(s) Amazon.com
Initial releaseOctober 26, 2009;14 years ago (2009-10-26) [1]
Operating system Cross-platform
Available inEnglish
Type relational database SaaS
License Proprietary
Website aws.amazon.com/rds/

Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [3] Administration processes like patching the database software, backing up databases and enabling point-in-time recovery are managed automatically. [4] Scaling storage and compute resources can be performed by a single API call to the AWS control plane on-demand. AWS does not offer an SSH connection to the underlying virtual machine as part of the managed service. [5]

Contents

History

Amazon RDS was first released on 22 October 2009, supporting MySQL databases. [1] [6] [7] This was followed by support for Oracle Database in June 2011, [8] [9] Microsoft SQL Server in May 2012, [10] PostgreSQL in November 2013, [11] and MariaDB (a fork of MySQL) in October 2015, [12] and an additional 80 features during 2017. [13]

In November 2014 AWS announced Amazon Aurora, a MySQL-compatible database offering enhanced high availability and performance, [14] and in October 2017 a PostgreSQL-compatible database offering [15] [13] was launched. [16]

In March 2019 AWS announced support of PostgreSQL 11 in RDS, [17] five months after official release.

Features

New database instances can be launched from the AWS Management Console or using the Amazon RDS APIs. [18] Amazon RDS offers different features to support different use cases. Some of the major features are:

Multi-Availability Zone (AZ) deployment

In May 2010 Amazon announced Multi-Availability Zone deployment support. [19] Amazon RDS Multi-Availability Zone (AZ) allows users to automatically provision and maintain a synchronous physical or logical "standby" replica, depending on database engine, in a different Availability Zone [20] (independent infrastructure in a physically separate location). Multi-AZ database instance can be developed at creation time or modified to run as a Multi-AZ deployment later. Multi-AZ deployments aim to provide enhanced availability and data durability for MySQL, MariaDB, Oracle, PostgreSQL and SQL Server [21] instances and are targeted for production environments. [22] In the event of planned database maintenance or unplanned service disruption, Amazon RDS automatically fails over to the up-to-date standby, allowing database operations to resume without administrative intervention.

Multi-AZ RDS instances are optional and have a cost associated with them. When creating a RDS instance, the user is asked if they would like to use a Multi-AZ RDS instance. In Multi-AZ RDS deployments backups are done in the standby instance so I/O activity is not suspended any time but users may experience elevated latencies for a few minutes during backups. [23]

Read replicas

Read replicas allow different use cases such as to scale in for read-heavy database workloads. There are up to five replicas available for MySQL, MariaDB, and PostgreSQL. Instances use the native, asynchronous replication functionality of their respective database engines. [24] They have no backups configured by default and are accessible and can be used for read scaling. [25] MySQL and MariaDB read replicas can be made writeable again since October 2012; [26] PostgreSQL read replicas do not support it. [25] Replicas are done at database instance level and do not support replication at database or table level. [27]

Performance metrics and monitoring

Performance metrics for Amazon RDS are available from the AWS Management Console or the Amazon CloudWatch API. In December 2015, Amazon announced an optional enhanced monitoring feature that provides an expanded set of metrics for the MySQL, MariaDB, and Aurora database engines. [28]

RDS costs

Amazon RDS instances are priced very similarly to Amazon Elastic Compute Cloud (EC2). RDS is charged per hour and comes in two packages: On-Demand DB Instances [29] and Reserved DB Instances. [29] On-Demand Instances are at an ongoing hourly usage rate. Reserved RDS Instances are offered in 1-year and 3-year terms and include no-upfront, partial-upfront, and all-upfront payment options. Currently, AWS does not offer a 3-year reservation with an "no-upfront" payment option. [30]

Apart from the hourly cost of running the RDS instance, users are charged for the amount of storage provisioned, data transfers and input and output operations performed. AWS have introduced Provisioned Input and Output Operations, in which the user can define how many IO per second are required by their application. IOPS can contribute significantly to the total cost of running the RDS instance. [31]

Amazon RDS also has an Aurora Serverless option. The serverless pricing unit is dollars per ACU hour. ACU stands for 'Aurora Capacity Limit'. This option is designed for customers that need to dramatically scale workloads. [32]

As part of the AWS Free Tier, the Amazon RDS Free Tier helps new AWS customers get started with a managed database service in the cloud for free. You can use the Amazon RDS Free Tier to develop new applications, test existing applications, or simply gain hands-on experience with Amazon RDS. [33]

Automatic backups

Amazon RDS creates and saves automated backups of RDS DB instances. [23] The first snapshot of a DB instance contains the data for the full DB instance and subsequent snapshots are incremental, maximum retention period is 35 days. In Multi-AZ RDS deployments backups are done in the standby instance so I/O activity is not suspended for any amount of time but you may experience elevated latencies for a few minutes during backups. [23]

Operation

Database instances can be managed from the AWS Management Console, using the Amazon RDS APIs and using AWS CLI. [18] Since 1 June 2017, [34] you can stop AWS RDS instances from AWS Management Console or AWS CLI for 7 days at a time. After 7 days, it will be automatically started, [34] [35] and since September 2018 RDS instances can be protected from accidental deletion. [36] Increase DB space is supported, but not decrease allocated space. [37] Additionally there is at least a six-hour period where new allocation cannot be done.

Database instance types

As of August 2020, Amazon RDS supports 82 DB instance types - to support different types of workloads: [38] [39] [40]

General purpose

Instance typeMemory EBS optimized / throughputCoresNetwork performance
db.t2.micro1 GB—1 coresLow to moderate
db.t2.small2 GB—1 coresLow to moderate
db.t2.medium4 GB—2 coresLow to moderate
db.t2.large8 GB—2 coresLow to moderate
db.t2.xlarge16 GB—4 coresModerate
db.t2.2xlarge32 GB—8 coresModerate
db.t3.micro1 GB—2 coresUp to 5 Gbps
db.t3.small2 GB—2 coresUp to 5 Gbps
db.t3.medium4 GB—2 coresUp to 5 Gbps
db.t3.large8 GB—2 coresUp to 5 Gbps
db.t3.xlarge16 GB—4 coresUp to 5 Gbps
db.t3.2xlarge32 GB—8 coresUp to 5 Gbps
db.m4.large8 GB450 Mbit/s2 coresModerate
db.m4.xlarge16 GB750 Mbit/s4 coresHigh
db.m4.2xlarge32 GB1000 Mbit/s8 coresHigh
db.m4.4xlarge64 GB2000 Mbit/s16 coresHigh
db.m4.10xlarge160 GB4000 Mbit/s40 cores10 Gigabit
db.m4.16xlarge256 GB10000 Mbit/s64 cores25 Gigabit
db.m5.large8 GBup to 3500 Mbit/s2 coresUp to 10 Gbps
db.m5.xlarge16 GBup to 3500 Mbit/s4 coresUp to 10 Gbps
db.m5.2xlarge32 GBup to 3500 Mbit/s8 coresUp to 10 Gbps
db.m5.4xlarge64 GB3500 Mbit/s16 coresUp to 10 Gbps
db.m5.12xlarge192 GB7000 Mbit/s48 cores10 Gigabit
db.m5.24xlarge384 GB14000 Mbit/s96 cores25 Gigabit
db.m6g.large8 GBUp to 4750 Mbit/s2 coresUp to 10 Gbps
db.m6g.xlarge16 GBUp to 4750 Mbit/s4 coresUp to 10 Gbps
db.m6g.2xlarge32 GBUp to 4750 Mbit/s8 coresUp to 10 Gbps
db.m6g.4xlarge64 GB4750 Mbit/s16 coresUp to 10 Gbps
db.m6g.8xlarge128 GB9000 Mbit/s32 cores12 Gbps
db.m6g.12xlarge192 GB13500 Mbit/s48 cores20 Gbps
db.m6g.16xlarge256 GB19000 Mbit/s64 cores25 Gbps

Memory optimized

Instance typeMemory EBS optimized / throughputCoresNetwork performance
db.r4.large15.25 GB437 Mbit/s2 coresUp to 10 Gbps
db.r4.xlarge30.5 GB875 Mbit/s4 coresUp to 10 Gbps
db.r4.2xlarge61 GB1750 Mbit/s8 coresUp to 10 Gbps
db.r4.4xlarge122 GB3500 Mbit/s16 coresUp to 10 Gbps
db.r4.8xlarge244 GB7000 Mbit/s32 cores10 Gbps
db.r4.16xlarge488 GB14000 Mbit/s64 cores25 Gbps
db.r5.large16 GBup to 3500 Mbit/s2 coresUp to 10 Gbps
db.r5.xlarge32 GBup to 3500 Mbit/s4 coresUp to 10 Gbps
db.r5.2xlarge64 GBup to 3500 Mbit/s8 coresUp to 10 Gbps
db.r5.4xlarge128 GB3500 Mbit/s16 coresUp to 10 Gbps
db.r5.12xlarge384 GB7000 Mbit/s48 cores10 Gbps
db.r5.24xlarge768 GB14000 Mbit/s96 cores25 Gbps
db.r6g.large16 GBup to 4750 Mbit/s2 coresUp to 10 Gbps
db.r6g.xlarge32 GBup to 4750 Mbit/s4 coresUp to 10 Gbps
db.r6g.2xlarge64 GBup to 4750 Mbit/s8 coresUp to 10 Gbps
db.r6g.4xlarge128 GB4750 Mbit/s16 coresUp to 10 Gbps
db.r6g.8xlarge256 GB9000 Mbit/s32 cores12 Gbps
db.r6g.12xlarge384 GB13500 Mbit/s48 cores20 Gbps
db.r6g.16xlarge512 GB19000 Mbit/s64 cores25 Gbps
db.x1e.xlarge122 GB500 Mbit/s4 coresUp to 10 Gbps
db.x1e.2xlarge244 GB1000 Mbit/s8 coresUp to 10 Gbps
db.x1e.4xlarge488 GB1750 Mbit/s16 coresUp to 10 Gbps
db.x1e.8xlarge976 GB3500 Mbit/s32 coresUp to 10 Gbps
db.x1e.16xlarge1952 GB7000 Mbit/s64 cores10 Gbps
db.x1e.32xlarge3904 GB14000 Mbit/s128 cores25 Gbps
db.x1.16xlarge976 GB7000 Mbit/s64 cores10 Gbps
db.x1.32xlarge1952 GB14000 Mbit/s128 cores25 Gbps
db.z1d.large16 GB—1 coresUp to 10 Gbps
db.z1d.xlarge32 GB—2 coresUp to 10 Gbps
db.z1d.2xlarge64 GB—4 coresUp to 10 Gbps
db.z1d.3xlarge96 GB—6 coresUp to 10 Gbps
db.z1d.6xlarge192 GB—12 cores10 Gbps
db.z1d.12xlarge384 GB—48 cores25 Gbps

Previous generation

Instance TypeMemory EBS optimized / throughputCoresNetwork performance
db.t1.micro0.613 GB—1 coresVery low
db.m1.small1.7 GB—1 coresLow
db.m1.medium3.75 GB—1 coresModerate
db.m1.large7.5 GB—2 coresModerate
db.m1.xlarge15 GB—4 coresHigh
db.m2.xlarge17.1 GB—2 coresModerate
db.m2.2xlarge34.2 GB—4 coresModerate
db.m2.4xlarge68.4 GB—8 coresHigh
db.m3.medium3.75 GB—1 coresModerate
db.m3.large7.5 GB—2 coresModerate
db.m3.xlarge15 GB500 Mbit/s4 coresHigh
db.m3.2xlarge30 GB10000 Mbit/s8 coresHigh
db.cr1.8xl244 GB—32 cores10 Gigabit
db.r3.large15.25 GB—2 coresModerate
db.r3.xlarge30.5 GB—4 coresModerate
db.r3.2xlarge61 GB—8 coresHigh
db.r3.4xlarge122 GB—16 coresHigh
db.r3.8xlarge244 GB—32 cores10 Gigabit

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References

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  2. ↑ Amazon RDS, Cloud Relational Database Service: MySQL, Oracle, SQL Server. Aws.amazon.com (2010-07-28). Retrieved on 2013-08-09.
  3. ↑ MySQL in the cloud at Airbnb - Airbnb Engineering. Nerds.airbnb.com (2010-11-15). Retrieved on 2013-08-09.
  4. ↑ Amazon RDS, Introduced Archived 2011-09-29 at the Wayback Machine . Aws.amazon.com (2010-01-01). Retrieved on 2013-08-09.
  5. ↑ "ssh - How do you access an Amazon RDS instance from a chromebook?". Stack Overflow. August 1, 2013. Retrieved October 19, 2019.
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  12. ↑ "Amazon Web Services Announces Two New Database Services – AWS Database Migration Service and Amazon RDS for MariaDB". MarketWatch, Inc. 2015-10-07. Archived from the original on 2018-07-05. Retrieved 2015-10-23.
  13. 1 2 Barr, Jeff (February 12, 2018). "Amazon Relational Database Service – Looking Back at 2017". Amazon Web Services. Retrieved November 29, 2018.
  14. ↑ Barr, Jeff (November 12, 2014). "Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS". Amazon Web Services. Retrieved July 19, 2017.
  15. ↑ "Now Available – Amazon Aurora with PostgreSQL Compatibility". Amazon Web Services. October 24, 2017.
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  17. ↑ "PostgreSQL 11 now Supported in Amazon RDS". Amazon Web Services, Inc.
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  23. 1 2 3 "Working With Backups - Amazon Relational Database Service". docs.aws.amazon.com.
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