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Amazon RDS

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Amazon RDS vs IBM DB2: What are the differences?

Amazon RDS and IBM DB2 are both popular options for managing relational databases, but they have key differences that set them apart in terms of features, capabilities, and deployment options.

  1. Deployment Options: Amazon RDS offers the flexibility of deploying databases on the cloud, with options to choose from various database engines like MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. In contrast, IBM DB2 is a traditional on-premises database management system that needs to be installed and managed on local servers.

  2. Scalability: Amazon RDS provides automatic scaling capabilities, allowing users to easily scale up or down their database resources based on demand. It offers features like Amazon Aurora, which is a highly scalable and robust database engine. On the other hand, IBM DB2 requires manual scaling and lacks the seamless scalability options of Amazon RDS.

  3. Ease of Management: Amazon RDS simplifies database management with automated backups, software patching, and regular maintenance tasks handled by AWS. It also offers a user-friendly web-based console for easier management. In contrast, IBM DB2 requires more manual effort and expertise for tasks like backups, software patching, and maintenance.

  4. Availability and Reliability: Amazon RDS provides high availability by offering multiple Availability Zones (AZs) and automated backups, ensuring data redundancy and quick disaster recovery. It also offers replication options for better data durability. IBM DB2, although reliable, may require additional configuration and setup for achieving high availability and disaster recovery.

  5. Cost Structure: Amazon RDS follows a pay-as-you-go pricing model, where users are charged based on the resources consumed. It offers options for Reserved Instances and Savings Plans, providing cost-saving opportunities. In contrast, IBM DB2 typically involves upfront licensing costs and maintenance fees, which may be less flexible in terms of cost.

  6. Integration with Other AWS Services: Amazon RDS integrates seamlessly with other AWS services like Amazon CloudWatch for monitoring, AWS Identity and Access Management (IAM) for managing user access and permissions, and AWS CloudTrail for audit and compliance purposes. IBM DB2 may have limited integration options with other services, as it is primarily designed for on-premises deployment.

In Summary, Amazon RDS offers a cloud-native approach with easy scalability, automated management, and seamless integration with other AWS services, while IBM DB2 is a traditional on-premises database solution that requires more manual effort and expertise for management and lacks the flexibility and scalability options of Amazon RDS.

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Pros of Amazon RDS
Pros of IBM DB2
  • 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
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
  • 1
    Best performance

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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 IBM DB2?

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

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What are some alternatives to Amazon RDS and IBM DB2?
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