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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Atlas is a database schema management platform designed for modern development teams. It allows engineers to manage database schemas as code instead of writing manual migrations. Atlas automatically calculates schema diffs and plans safe migrations before changes reach production. Built with GitOps-native workflows, it integrates directly into CI/CD pipelines. Formal verification ensures every schema change meets safety and compliance rules. Teams can detect schema drift and prevent inconsistencies across environments. Atlas supports the industry’s most widely used databases, from PostgreSQL and MySQL to Snowflake and Databricks. Built-in linting catches risky changes early in code review. Atlas Cloud adds governance, auditing, and production safeguards. The result is faster development with fewer database incidents.

Description

Let's be honest, creating boilerplate for validation, casting, and business logic in MongoDB can be tedious. This is the reason Mongoose was developed. Imagine we have a fondness for adorable kittens and wish to log every kitten we encounter in MongoDB. The first step is to incorporate Mongoose into our project and establish a connection to the test database hosted on our local MongoDB instance. We have an active connection to the test database located at localhost, and now it’s essential to set up notifications for successful connections or any errors that may arise. In Mongoose, documents correspond directly to the documents stored in MongoDB; each document is essentially an instance of its corresponding Model. Furthermore, subdocuments refer to documents that are nested within others, allowing for intricate data structures. Mongoose provides two main concepts for handling subdocuments: arrays of subdocuments and individual nested subdocuments, making it flexible for various data representations. With Mongoose, managing complex relationships and data structures becomes significantly easier, allowing developers to focus more on their application logic rather than the underlying database mechanics.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Dash No 
Git Yes 
GitHub Yes 
Kubernetes Yes 
MongoDB No 
ShipFast No 
StarfishETL No 
Terraform Yes 

Integrations

Dash Yes 
Git No 
GitHub No 
Kubernetes No 
MongoDB Yes 
ShipFast Yes 
StarfishETL Yes 
Terraform No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Atlas Authors

Country

United States

Website

atlasgo.io

Vendor Details

Company Name

Mongoose

Country

United States

Website

mongoosejs.com

Product Features

Continuous Integration

Build Log No 
Change Management No 
Configuration Management No 
Continuous Delivery No 
Continuous Deployment No 
Debugging No 
Permission Management No 
Quality Assurance Management No 
Testing Management No 

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

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