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  1. Stackups
  2. Application & Data
  3. Document Databases
  4. Mongodb Hosting
  5. MongoDB Atlas vs ScaleGrid

MongoDB Atlas vs ScaleGrid

OverviewComparisonAlternatives

Overview

MongoDB Atlas
MongoDB Atlas
Stacks857
Followers940
Votes34
ScaleGrid
ScaleGrid
Stacks8
Followers37
Votes0

MongoDB Atlas vs ScaleGrid: What are the differences?

Introduction

MongoDB Atlas and ScaleGrid are both cloud-based platforms that offer managed MongoDB services. They provide hosting, monitoring, and management capabilities for MongoDB databases. While they have similarities, there are several key differences between MongoDB Atlas and ScaleGrid.

1. Scalability: MongoDB Atlas offers automatic scaling capabilities, allowing users to seamlessly handle increased workloads by adding more nodes or clusters. ScaleGrid, on the other hand, provides customizable scaling options, giving users control over the number of shards, replicas, and the hardware configuration of their MongoDB environment.

2. Deployment Flexibility: MongoDB Atlas provides a fully managed cloud service and is available on major cloud providers like AWS, Google Cloud, and Azure. ScaleGrid, on the other hand, offers both managed cloud and self-hosted options, giving users the freedom to deploy MongoDB on their own infrastructure or on their preferred cloud provider.

3. Pricing Structure: MongoDB Atlas has a consumption-based pricing model, where users pay based on the resources utilized, such as storage, RAM, and I/O. ScaleGrid, on the other hand, offers a fixed pricing model, providing users with a predictable cost structure regardless of resource utilization.

4. Customization and Control: ScaleGrid offers more control and customization options compared to MongoDB Atlas. Users have the ability to modify MongoDB configurations, fine-tune performance settings, and perform granular backups and restores. MongoDB Atlas, while providing several customization options, has more restrictions in terms of modifying certain configurations.

5. Multi-Cloud Support: MongoDB Atlas supports deployment on multiple major cloud providers, allowing users to easily switch between providers if needed. ScaleGrid, on the other hand, provides cross-cloud support, allowing users to distribute their MongoDB deployment across multiple cloud providers or regions for increased redundancy and fault tolerance.

6. Additional Database Support: ScaleGrid offers support for other databases, including Redis and MySQL, in addition to MongoDB. This allows users to manage multiple databases from a single platform. MongoDB Atlas, on the other hand, solely focuses on MongoDB and does not provide support for other databases.

In summary, MongoDB Atlas provides automatic scaling, multi-cloud support, and a managed cloud service, while ScaleGrid offers customization, self-hosting options, fixed pricing, support for multiple databases, and cross-cloud support.

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Detailed Comparison

MongoDB Atlas
MongoDB Atlas
ScaleGrid
ScaleGrid

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.

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
857
Stacks
8
Followers
940
Followers
37
Votes
34
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
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 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.

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.

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.

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