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About

The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.

About

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. Easily provision, monitor, backup and scale your open source databases with high availability, advanced security, full superuser and SSH access, query analysis, and troubleshooting support to improve the performance of your deployments. Supported databases include: - MySQL - PostgreSQL - Redis™ - MongoDB® database - Greenplum™ (coming soon) The ScaleGrid platform supports both public and private clouds, including AWS, Azure, Google Cloud Platform (GCP), DigitalOcean, Linode, Oracle Cloud Infrastructure (OCI), VMware and OpenStack. Used by thousands of developers, startups, and enterprise customers including Atlassian, Meteor, and Accenture, ScaleGrid handles all your database operations at any scale so you can focus on your application performance.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, data engineers, and organizations looking for a fully managed, cloud-based database solution to build scalable, secure, and high-performance applications

Audience

Database Administrators (DBA), Developers, DevOps Engineers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.08/hour
Free Version
Free Trial

Pricing

$8 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 4.7 / 5
features 4.3 / 5
design 4.7 / 5
support 4.3 / 5

Pros & Cons from Real Users

Pros

  • MongoDB Atlas significantly reduces operational overhead by handling provisioning, scaling, backups, and maintenance automatically. From a DevOps standpoint, this means less time managing infrastructure and more time focusing on reliability, pipelines, and delivery. The ability to deploy clusters in minutes across AWS, Azure, or GCP makes it highly flexible for multi cloud strategies and rapid environment setup

Cons

  • Despite being managed, it is not fully hands off. Production setups still require careful configuration of cluster sizing, networking, and security policies, especially for high traffic workloads. Misconfiguration can still lead to performance or cost issues

Pros & Cons from Real Users

Pros

  • Setup is a breeze. Easily add firewall rules Easily add or remove users. Fast support and possibility to bring your own aws cloud etc when you are really scaling etc.
  • So simple to setup and manage our databases. We've luckily not had to use the automated failover in production, but tested it rigorously before deploying. It couldn't be easier to manage and setup. The alert system is amazing as well.
  • I am a scientist who has no formal training in computer science or databases. I needed to create a MySQL database to store a large amount of training data for a machine learning project. I found AWS to be overly complicated and overpowered for my needs. ScaleGrid offered an affordable solution with a web interface and very responsive support. I highly recommend them.

Cons

  • - it's a bit costly for minimum plan being 10$ It is costly for starters but if you are about to scale it makes sense to use it.
  • I honestly don't have a single con for moving to ScaleGrid. It was so simple.
  • It would be helpful to have a bit more documentation about how to manage backups, get more disk space, and use the web console. It is all probably self-evident to database gurus, but for non-experts like me, documentation would be very helpful.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MongoDB
Founded: 2007
United States
www.mongodb.com/atlas

Company Information

ScaleGrid
Founded: 2012
United States
scalegrid.io

Alternatives

Alternatives

RaimaDB

RaimaDB

Raima
ClusterControl

ClusterControl

Severalnines

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Database Backup Features

Automatic Backup
Backup Locations
Backup Scope Settings
Differential Backup
Filegroup Backup
Full Backup
Incremental Backup
Manual Backup
Multiple Backups

NoSQL Database Features

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Application Performance Monitoring (APM) Features

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Database Monitoring Features

Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting

DevOps Features

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Relational Database Features

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
BigID
ClassDojo
CloudAvocado
CloudZero
Clutch
Data V
DocumentDB for VS Code
Forest Admin
Google Kubernetes Engine (GKE)
LLMWare.ai
Orka
Refold
Resmo
SAS Studio
Stacksync
Studio 3T
TapData

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
BigID
ClassDojo
CloudAvocado
CloudZero
Clutch
Data V
DocumentDB for VS Code
Forest Admin
Google Kubernetes Engine (GKE)
LLMWare.ai
Orka
Refold
Resmo
SAS Studio
Stacksync
Studio 3T
TapData
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