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Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups.
Category
Database as a Service SQL Data Model
Features
• Database snapshots are user-initiated backups of your instance stored in Amazon S3 that are kept until explicitly deleted • Automatic Host Replacement: Automatically replace the compute instance powering deployment in the event of a hardware failure • Encryption at Rest and in Transit • Multi-AZ deployments provide enhanced availability and durability for database instances • Event notifications via email or SMS text message • Configuration Governance
License
• Open source
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
Company
Amazon Relational Database
What is best?
• Database snapshots are user-initiated backups of your instance stored in Amazon S3 that are kept until explicitly deleted • Automatic Host Replacement: Automatically replace the compute instance powering deployment in the event of a hardware failure • Encryption at Rest and in Transit
What are the benefits?
• Stop and Start: Easily stop and start database instances for up to 7 days at a time • Push-button compute scaling: Powers deployment up or down, up to a maximum of 32 vCPUs and 244 GiB of RAM • Automatic software patching: Stay up-to-date with the latest patches • Easy to use: Access the capabilities of a production-ready relational database in minutes
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
8.7
Features & Functionality
7.6
9.2
Advanced Features
7.6
9.0
Integration
7.6
9.1
Performance
7.6
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Customer Support
7.6
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Implementation
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Renew & Recommend
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Bottom Line
Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS), designed to simplify the setup, operation, and scaling of a relational database for use in applications.
7.6
Editor Rating
9.0
Aggregated User Rating
2 ratings
You have rated this
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. Amazon RDS General Purpose Storage is an SSD-backed storage option that delivers a consistent baseline of 3 IOPS per provisioned GB and provides the ability to burst up to 3,000 IOPS. This storage type is suitable for a broad range of database workloads. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, Oracle, and Microsoft SQL Server. Amazon RDS runs on the same highly reliable infrastructure used by other Amazon Web Services. Amazon RDS synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Amazon RDS has many other features that enhance reliability for critical production databases, including automated backups, database snapshots, and automatic host replacement. Amazon RDS supports the most demanding database applications. Choose between two SSD-backed storage options: one optimized for high-performance OLTP applications, and the other for cost-effective general-purpose use. Amazon RDS provides familiar database engines that can rapidly grow capacity to meet user’s demand. Many Amazon RDS engine types offer encryption at rest and encryption in transit. Amazon RDS offers small and large ecommerce businesses a flexible, secured, highly scalable, and low-cost database solution for online sales and retailing. Amazon RDS provides a managed database offering helping ecommerce companies meet PCI compliance and focus on building high quality customer experiences without worrying about managing the underlying database.
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