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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. Amazon RDS vs ElephantSQL

Amazon RDS vs ElephantSQL

OverviewComparisonAlternatives

Overview

Amazon RDS
Amazon RDS
Stacks16.2K
Followers10.8K
Votes761
ElephantSQL
ElephantSQL
Stacks15
Followers86
Votes15

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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Detailed Comparison

Amazon RDS
Amazon RDS
ElephantSQL
ElephantSQL

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.

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.

Pre-configured Parameters;Monitoring and Metrics;Automatic Software Patching;Automated Backups;DB Snapshots;DB Event Notifications;Multi-Availability Zone (Multi-AZ) Deployments;Provisioned IOPS;Push-Button Scaling;Automatic Host Replacement;Replication;Isolation and Security
Continuous backup to S3;Automatic failover;24/7 monitoring;Extenstions- HStore, Full Text search, Crypto and many more.;Latest version- ElephantSQL always boosts the latest stable version of PostgreSQL.
Statistics
Stacks
16.2K
Stacks
15
Followers
10.8K
Followers
86
Votes
761
Votes
15
Pros & Cons
Pros
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
Pros
  • 11
    They suck
  • 1
    Easy setup
  • 1
    Monitoring
  • 1
    Geospatial support
  • 1
    Easy backup
Integrations
No integrations available
SoftLayer
SoftLayer
Google Compute Engine
Google Compute Engine
Amazon EC2
Amazon EC2
Heroku
Heroku
AppHarbor
AppHarbor
cloudControl
cloudControl

What are some alternatives to Amazon RDS, ElephantSQL?

Amazon Aurora

Amazon Aurora

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Google Cloud SQL

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

Amazon RDS for PostgreSQL

Amazon RDS for PostgreSQL

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

Heroku Postgres

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.

ClearDB

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

Azure SQL Database

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Database Labs

Database Labs

We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

Cloud DB for Mysql

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

Google Cloud SQL for PostgreSQL

Google Cloud SQL for PostgreSQL

With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

PlanetScaleDB

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

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