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Amazon RDS vs ElephantSQL: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Amazon RDS and ElephantSQL. Both of these services are popular choices for managing and hosting relational databases. Understanding their differences can help users make informed decisions when choosing a database solution for their project.

  1. Deployment Method: Amazon RDS supports deploying databases on multiple cloud platforms, including Amazon Web Services (AWS), while ElephantSQL is specifically designed for PostgreSQL databases and is hosted on the ElephantSQL infrastructure.

  2. Scalability: Amazon RDS provides automatic scalability options like horizontal scaling, allowing users to modify their database instance size or add replicas. On the other hand, ElephantSQL does not offer built-in automatic scaling options, limiting its scalability capabilities.

  3. Pricing: Amazon RDS offers various pricing options, providing users with flexibility based on their database usage. ElephantSQL, on the other hand, has a simpler pricing structure with fixed plans according to the selected database size and usage.

  4. Managed Services and Support: Amazon RDS offers a fully managed service with automated backups, software patching, and monitoring. It also provides technical support for any issues that may arise. ElephantSQL also offers managed services, but its support options may be more limited compared to Amazon RDS.

  5. Database Options: While Amazon RDS supports multiple database engines like MySQL, PostgreSQL, Oracle, and SQL Server, ElephantSQL is primarily focused on PostgreSQL databases only. This difference allows users with specific database engine requirements to choose the most suitable service.

  6. Integration with Other AWS Services: Amazon RDS seamlessly integrates with other AWS services, such as EC2 instances, AWS Identity and Access Management (IAM), and CloudWatch for monitoring. ElephantSQL, being hosted separately, may have limited or no integration options with these services.

In summary, Amazon RDS provides a more comprehensive and flexible solution for managing relational databases, offering multiple database engine options, broader scalability choices, and integration with various AWS services. ElephantSQL, on the other hand, is more specialized, providing a straightforward solution for PostgreSQL databases with a simpler pricing structure. Overall, the choice between these two services depends on specific requirements, scalability needs, and the desired level of integration with other services.

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Pros of Amazon RDS
Pros of ElephantSQL
  • 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
  • 11
    They suck
  • 1
    Monitoring
  • 1
    Geospatial support
  • 1
    Easy setup
  • 1
    Easy backup

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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 ElephantSQL?

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

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What companies use Amazon RDS?
What companies use ElephantSQL?
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What tools integrate with Amazon RDS?
What tools integrate with ElephantSQL?

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What are some alternatives to Amazon RDS and ElephantSQL?
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