StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Document Databases
  4. Mongodb Hosting
  5. Compose vs MongoDB Atlas vs ScaleGrid

Compose vs MongoDB Atlas vs ScaleGrid

OverviewComparisonAlternatives

Overview

Compose
Compose
Stacks258
Followers121
Votes206
MongoDB Atlas
MongoDB Atlas
Stacks856
Followers940
Votes34
ScaleGrid
ScaleGrid
Stacks8
Followers37
Votes0

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Compose
Compose
MongoDB Atlas
MongoDB Atlas
ScaleGrid
ScaleGrid

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.

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.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) solution for MongoDB, Redis, MySQL, and PostgreSQL on AWS, Azure, DigitalOcean, VMware and OpenStack. Automate your database operations in the cloud so you can get back to product.

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.
Global clusters for world-class applications. Support for 60+ cloud regions across AWS, Azure, & GCP.; Secure for sensitive data. Built-in security controls and features to meet your existing protocols and compliance standards.; Designed for developer productivity. Integrated tools to manipulate, visualize, and analyze your data. Execute code in real time in response to data changes.; Reliable for mission-critical workload. Highly available with distributed fault tolerance and backup options to meet your data recovery objectives.; Built for optimal performance. On-demand scaling, resource optimization tools, and real-time visibility into database performance.
Bring your own cloud; Dedicated servers; High availability; AWS Virtual Private Cloud (VPC) support; Azure Virtual Network (VNET) support; Shard support; Custom replica set configurations; SSH access to the underlying machine; Cross-data center configurations; Slow query analysis; Monitoring console with OS and database metrics; Custom alerts; Multiple database version support; Scheduled and on-demand backups; One-click restores; Monthly reports; EC2 EBS provisioned IOPS; EC2 local SSD; WiredTiger storage engine; Disk compression; Encryption at rest; Customizable RAM, disk size and instance type; Dynamic and automatic scaling; Free 24/7 support, Log rotations; OS patching; Free upgrades; Performance debugging; Reserved Instances support; Security Group support; High-performance clusters; Web-based shell management; Unlimited databases;
Statistics
Stacks
258
Stacks
856
Stacks
8
Followers
121
Followers
940
Followers
37
Votes
206
Votes
34
Votes
0
Pros & Cons
Pros
  • 42
    Simple to set up
  • 32
    One-click mongodb
  • 29
    Automated Backups
  • 23
    Designed to scale
  • 21
    Easy interface
Pros
  • 10
    MongoDB SaaS for and by Mongo, makes it so easy
  • 6
    Amazon VPC peering
  • 4
    MongoDB atlas is GUItool through you can manage all DB
  • 4
    Granular role-based access controls
  • 3
    Cloud instance to be worked with
No community feedback yet
Integrations
SoftLayer
SoftLayer
Heroku
Heroku
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Amazon EC2
Amazon EC2
New Relic
New Relic
MySQL
MySQL
Mongoose
Mongoose
PagerDuty
PagerDuty
Node.js
Node.js
Robo 3T
Robo 3T
WordPress
WordPress
Slack
Slack

What are some alternatives to Compose, MongoDB Atlas, ScaleGrid?

MongoLab

MongoLab

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

ObjectRocket

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.

DigitalOcean Managed MongoDB

DigitalOcean Managed MongoDB

It is a fully managed, database as a service (DBaaS). Build scalable high-performance apps using MongoDB cloud service. It handles the provisioning, scaling, updates, backups, and security of your MongoDB clusters, so you can focus on your apps.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase