Amazon RDS vs Compose

Overview

Compose

Stacks258

Followers121

Votes206

Amazon RDS

Stacks16.1K

Followers10.8K

Votes761

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.

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Advice on Compose, Amazon RDS

Phillip

Developer at Coach Align

Mar 18, 2021

Decided

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

29.3k views29.3k

Comments

Detailed Comparison

Compose	Amazon RDS
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 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.
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; enterprise-grade SSD; easy to add plugins including New Relic; daily, weekly and monthly backups at no additional cost; availability on multiple data centers; a global support team to troubleshoot problems quickly; dedicated servers available.	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
Statistics
Stacks 258	Stacks 16.1K
Followers 121	Followers 10.8K
Votes 206	Votes 761
Pros & Cons
Pros 42 Simple to set up 32 One-click mongodb 29 Automated Backups 23 Designed to scale 21 Easy interface	Pros 165 Reliable failovers 156 Automated backups 130 Backed by amazon 92 Db snapshots 87 Multi-availability
Integrations
SoftLayer Heroku Amazon EC2 DigitalOcean	No integrations available

What are some alternatives to Compose, Amazon RDS?

MongoLab

mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.

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

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

MongoDB Atlas

MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.

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.

ObjectRocket

Fast, scalable, and reliably-managed Mongo DB, Redis, Elasticsearch, PostgreSQL, CockroachDB and TimescaleDB. An easy to use DBaaS (database as a service) platform on private or public cloud. Complete DB Management & Administration.

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.

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.

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.

DigitalOcean Managed Databases

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

Related Comparisons

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.

Amazon RDS vs Compose