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  5. DigitalOcean vs MongoDB Atlas

DigitalOcean vs MongoDB Atlas

OverviewDecisionsComparisonAlternatives

Overview

DigitalOcean
DigitalOcean
Stacks18.2K
Followers13.3K
Votes2.6K
MongoDB Atlas
MongoDB Atlas
Stacks856
Followers940
Votes34

DigitalOcean vs MongoDB Atlas: What are the differences?

Key differences between DigitalOcean and MongoDB Atlas

DigitalOcean and MongoDB Atlas are both popular cloud service providers, but they have several key differences.

1. Scalability: DigitalOcean offers scalable virtual computing instances called Droplets, while MongoDB Atlas provides a scalable distributed database-as-a-service. This means that with DigitalOcean, you can scale your application horizontally by adding more Droplets, while with MongoDB Atlas, you can scale your database by adding more shards.

2. Database Type: DigitalOcean primarily provides infrastructure services, while MongoDB Atlas is focused on offering a managed MongoDB database service. This means that with DigitalOcean, you have more flexibility in terms of choosing the database technology you want to use, while with MongoDB Atlas, you get a fully managed MongoDB database with built-in features.

3. Pricing Model: DigitalOcean follows a pay-as-you-go pricing model, where you are charged based on the usage of your Droplets. On the other hand, MongoDB Atlas offers a tiered pricing model based on the specific features and resources you choose. This means that the cost structure and pricing options differ between the two providers.

4. Deployment Options: DigitalOcean allows you to deploy a wide range of applications and services, including databases, web servers, and containers. MongoDB Atlas, on the other hand, is specifically designed for MongoDB databases and provides optimized deployment options and management tools specifically for MongoDB.

5. High Availability and Data Replication: DigitalOcean offers high availability options by allowing you to set up load balancers and redundant infrastructure. MongoDB Atlas provides built-in high availability and data replication features, ensuring that your database is always accessible and resilient to failures.

6. Managed Service: MongoDB Atlas is a fully managed database service, which means that the database infrastructure and management tasks are handled by MongoDB. DigitalOcean, on the other hand, provides infrastructure services where you have more control and responsibility over the management of your applications and services.

In summary, DigitalOcean is a flexible cloud service provider that offers scalable virtual computing instances and supports various applications, while MongoDB Atlas is a managed MongoDB database service with optimized deployment options and built-in high availability features.

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Advice on DigitalOcean, MongoDB Atlas

Jerome/Zen
Jerome/Zen

Software Engineer

Aug 2, 2020

Needs advice

DigitalOcean was where I began; its USD5/month is extremely competitive and the overall experience as highly user-friendly.

However, their offerings were lacking and integrating with other resources I had on AWS was getting more costly (due to transfer costs on AWS). Eventually I moved the entire project off DO's Droplets and onto AWS's EC2.

One may initially find the cost (w/o free tier) and interface of AWS daunting however with good planning you can achieve highly cost-efficient systems with savings plans, spot instances, etcetera.

Do not dive into AWS head-first! Seriously, don't. Stand back and read pricing documentation thoroughly. You can, not to the fault of AWS, easily go way overbudget. Your first action upon getting your AWS account should be to set up billing alarms for estimated and current bill totals.

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Comments

Detailed Comparison

DigitalOcean
DigitalOcean
MongoDB Atlas
MongoDB Atlas

We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.

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.

We provide all of our users with high-performance SSD Hard Drives, flexible API, and the ability to select to nearest data center location.;SSD Cloud Servers in 55 Seconds;We provide a 99.99% uptime SLA around network, power and virtual server availability. If we fail to deliver, we’ll credit you based on the amount of time that service was unavailable.;All servers come with 1Gb/sec. network interface. Plans start with 1TB per month and increase incrementally.;KVM (for Kernel-based Virtual Machine) is one of the fastest-growing open source full virtualization solution for Linux. Our KVM virtualized droplets are designed to address a high level of security and performance.;With our SSD hard drives, you can expect much faster disk i/o performance when compared to a traditional storage medium (e.g. SATA).;We have created a simple name spaced API that provides complete control over your virtual private servers.;All cloud servers are built on powerful Hex Core machines with dedicated ECC Ram and RAID SSD storage.;Shared Private Networking enables Droplets to communicate with other Droplets in that same datacenter.;Transfer a copy of your Droplet snapshot to all regions (Amsterdam, San Francisco, and New York).;An intuitive user interface to control all of your virtual servers. Create, resize, rebuild and snapshot with single clicks.;Full featured DNS management allows you to easily manage your domains.;If you ever get locked out of your virtual server, you’ll be able to recover it with full console access.;Automatically set your server to be backed up. Or take a snapshot when you reach a milestone.
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.
Statistics
Stacks
18.2K
Stacks
856
Followers
13.3K
Followers
940
Votes
2.6K
Votes
34
Pros & Cons
Pros
  • 560
    Great value for money
  • 364
    Simple dashboard
  • 362
    Good pricing
  • 300
    Ssds
  • 250
    Nice ui
Cons
  • 4
    Pricing
  • 3
    No live support chat
Pros
  • 10
    MongoDB SaaS for and by Mongo, makes it so easy
  • 6
    Amazon VPC peering
  • 4
    Granular role-based access controls
  • 4
    MongoDB atlas is GUItool through you can manage all DB
  • 3
    Built-in data browser
Integrations
Cloud 66
Cloud 66
MongoDB
MongoDB

What are some alternatives to DigitalOcean, MongoDB Atlas?

Amazon EC2

Amazon EC2

It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.

Microsoft Azure

Microsoft Azure

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Google Compute Engine

Google Compute Engine

Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

Linode

Linode

Get a server running in minutes with your choice of Linux distro, resources, and node location.

MongoLab

MongoLab

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

Compose

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.

Scaleway

Scaleway

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

Rackspace Cloud Servers

Rackspace Cloud Servers

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

Google Cloud Platform

Google Cloud Platform

It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.

Gandi

Gandi

Gandi VPS Cloud Hosting offers you a flexible server with dedicated resources. The VPS virtualization is made possible by Xen technology.

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