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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. Atlas vs ScaleGrid

Atlas vs ScaleGrid

OverviewComparisonAlternatives

Overview

Atlas
Atlas
Stacks33
Followers125
Votes0
ScaleGrid
ScaleGrid
Stacks8
Followers37
Votes0

Atlas vs ScaleGrid: What are the differences?

# Key Differences between Atlas and ScaleGrid

MongoDB Atlas and ScaleGrid are both popular database management solutions, but they have key differences that set them apart. Below are the top differences:

1. **Deployment options**: MongoDB Atlas is a fully managed database service provided by MongoDB, while ScaleGrid offers both fully managed and self-managed options. With Atlas, users can let MongoDB handle all the operational aspects, such as backups and monitoring, whereas ScaleGrid gives users more control to manage their own deployments.

2. **Pricing structure**: MongoDB Atlas offers a pay-as-you-go pricing model, where users only pay for resources consumed. In contrast, ScaleGrid offers both fixed pricing plans and custom pricing for users with specific requirements. Depending on the user's needs and budget, one solution may be more cost-effective than the other.

3. **Supported databases**: MongoDB Atlas is specifically designed for MongoDB databases, offering features tailored to the MongoDB ecosystem. On the other hand, ScaleGrid provides support for a variety of databases, such as MongoDB, Redis, MySQL, and PostgreSQL, making it a versatile option for users with mixed database environments.

4. **Customer support**: MongoDB Atlas provides 24/7 support from the MongoDB team, ensuring quick resolution of any issues or concerns. ScaleGrid also offers support services, but they may vary depending on the pricing plan chosen by the user. This difference in support levels can impact the overall user experience.

5. **Performance optimization**: MongoDB Atlas includes built-in features for performance tuning and optimization, such as automated index suggestions and query optimization tools. While ScaleGrid offers similar performance monitoring capabilities, users may need to actively tune their deployments for optimal performance.

6. **Scalability options**: MongoDB Atlas offers seamless horizontal scalability through sharding, allowing users to scale their databases easily as data grows. ScaleGrid also supports horizontal scaling but may require more manual intervention from the user to implement and manage sharding configurations effectively.

In Summary, MongoDB Atlas and ScaleGrid differ in deployment options, pricing structure, supported databases, customer support, performance optimization, and scalability options, making it essential for users to consider these factors when choosing a database management solution.

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Detailed Comparison

Atlas
Atlas
ScaleGrid
ScaleGrid

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

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 command to develop any application: vagrant up;One command to deploy any application: vagrant push
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
33
Stacks
8
Followers
125
Followers
37
Votes
0
Votes
0
Integrations
No integrations available
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 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.

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Packer

Packer

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

MongoDB Atlas

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.

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

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.

Azure Resource Manager

Azure Resource Manager

It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

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