Need advice about which tool to choose?Ask the StackShare community!

Amazon RDS

15.8K
10.7K
+ 1
761
Compose

225
121
+ 1
206
Add tool

Amazon RDS vs Compose: What are the differences?

Developers describe Amazon RDS as "Set up, operate, and scale a relational database in the cloud". 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. On the other hand, Compose is detailed as "We host databases for busy devs: production-ready, cloud-hosted, open source". Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

Amazon RDS belongs to "SQL Database as a Service" category of the tech stack, while Compose can be primarily classified under "MongoDB Hosting".

Some of the features offered by Amazon RDS are:

  • Pre-configured Parameters
  • Monitoring and Metrics
  • Automatic Software Patching

On the other hand, Compose provides the following key features:

  • One click, production-ready, cloud hosted MongoDB, Redis, Elasticsearch, PostgreSQL and RethinkDB, with additional databases in beta.

Every deployment features: database autoscaling based on data size usage - private VLAN, IP whitelisting, SSL, full-stack monitoring, custom alerts - HA and fault tolerance with automatic failover

"Reliable failovers" is the primary reason why developers consider Amazon RDS over the competitors, whereas "Simple to set up" was stated as the key factor in picking Compose.

PedidosYa, New Relic, and Sellsuki are some of the popular companies that use Amazon RDS, whereas Compose is used by StreetHub, Compose, and Gigzolo. Amazon RDS has a broader approval, being mentioned in 1408 company stacks & 509 developers stacks; compared to Compose, which is listed in 82 company stacks and 19 developer stacks.

Decisions about Amazon RDS and Compose
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 27.3K views

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

See more
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Amazon RDS
Pros of Compose
  • 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
  • 42
    Simple to set up
  • 32
    One-click mongodb
  • 29
    Automated Backups
  • 23
    Designed to scale
  • 21
    Easy interface
  • 13
    Fast and Simple
  • 10
    Real-Time Monitoring
  • 7
    Fastest MongoDB Available
  • 6
    Great Design
  • 6
    REST API
  • 4
    Easy to set up
  • 3
    Free for testing
  • 3
    Geospatial support
  • 2
    Elasticsearch
  • 2
    Heroku Add-on
  • 1
    Automated Health Checks
  • 1
    Email Support
  • 1
    Query Logs

Sign up to add or upvote prosMake informed product decisions

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 Compose?

Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Amazon RDS?
What companies use Compose?
Manage your open source components, licenses, and vulnerabilities
Learn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Amazon RDS?
What tools integrate with Compose?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

GitHubDockerAmazon EC2+23
12
6593
JavaScriptGitHubPython+42
53
22057
DockerSlackAmazon EC2+17
18
6006
Jun 19 2015 at 6:37AM

ReadMe.io

JavaScriptGitHubNode.js+25
12
2417
What are some alternatives to Amazon RDS and Compose?
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