Amazon RDS vs Rackspace Cloud Database

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Amazon RDS

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Amazon RDS vs Rackspace Cloud Database: What are the differences?

Introduction:

Amazon RDS (Relational Database Service) and Rackspace Cloud Database are two popular cloud-based database services that provide managed database solutions. While both offer similar functionalities, there are some key differences between them.

  1. Scalability and Support: Amazon RDS provides automatic scalability by allowing users to easily scale up or down their database instances based on demand. It offers seamless integration with other AWS services, enabling users to benefit from the extensive AWS ecosystem. On the other hand, Rackspace Cloud Database offers a more traditional approach to scalability, where users need to manually scale their database instances. Additionally, Amazon RDS provides round-the-clock support, while Rackspace offers support during business hours only.

  2. Database Engine Support: Amazon RDS supports a wide range of database engines, including MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB. It allows users to choose the database engine that best suits their application requirements. Rackspace Cloud Database, on the other hand, supports only MySQL and MariaDB. Therefore, if you require a different database engine, Amazon RDS provides broader options.

  3. Pricing Model: Amazon RDS follows a pay-as-you-go pricing model, where users are billed based on the resources they consume. It offers different pricing tiers and options based on the database engine and instance type chosen. Rackspace Cloud Database, on the other hand, follows a fixed pricing model, where users pay a fixed monthly fee based on the resources allocated to their database instances. This difference in pricing models allows users to choose the model that aligns better with their budget and usage requirements.

  4. Data Center Locations: Amazon RDS provides a wide range of data centers located across different regions globally, allowing users to deploy their database instances closer to their target audience to minimize latency. Rackspace Cloud Database, on the other hand, has a more limited number of data centers, which may restrict the geographical availability and potentially affect performance for users with specific regional requirements.

  5. Backup and Restore Options: Amazon RDS provides automated backup and restore features, allowing users to easily create and schedule database backups. It also offers the ability to perform point-in-time restores, enabling users to recover their databases to a specific point in time. Rackspace Cloud Database also offers backup and restore functionality but lacks the capability to perform point-in-time restores. This difference might be crucial for users who require granular control over their data recovery process.

  6. Security and Compliance: Both Amazon RDS and Rackspace Cloud Database offer robust security measures, including isolation of customer databases, encryption at rest, and network security controls. However, Amazon RDS provides more comprehensive security features, including Virtual Private Cloud (VPC) integration, support for AWS Identity and Access Management (IAM), and enhanced monitoring and auditing capabilities. These additional security features make Amazon RDS a preferred choice for users with stringent security and compliance requirements.

**In Summary, Amazon RDS offers automatic scalability, broader database engine support, flexible pricing, more data center locations, advanced backup and restore options, and comprehensive security features compared to Rackspace Cloud Database, making it a preferred choice for many organizations.

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Pros of Amazon RDS
Pros of Rackspace Cloud Database
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
  • 30
    Control iops, fast restore to point of time
  • 28
    Security
  • 24
    Elastic
  • 20
    Push-button scaling
  • 20
    Automatic software patching
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation
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    What is Amazon RDS?

    Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

    What is Rackspace Cloud Database?

    It gives you simple, on-demand provisioning and open APIs—so you can deploy MySQL, Percona Server, or MariaDB with minimal effort. It is available in all of our global data centers, and it's backed by MySQL experts who tackle the management challenge for you.

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      What are some alternatives to Amazon RDS and Rackspace Cloud Database?
      Amazon Redshift
      It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
      Apache Aurora
      Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      Oracle
      Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
      Heroku Postgres
      Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
      See all alternatives