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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

CloudBoost can be set up in a variety of environments according to your preference. To facilitate the process, we provide a Docker Compose file that allows you to initiate CloudBoost in just a matter of minutes with a single command. This file can be utilized for local installations on your development machine or deployed to cloud services such as Azure, AWS, DigitalOcean, and more. If a config folder is not already present in the root of your project, you should create one. Inside this folder, a new file named cloudboost.json should be created, wherein you will input your MongoDB and Redis configurations. Once the server is operational, you will see the ClusterKey and SecureKey displayed on the console, indicating that CloudBoost has been successfully initiated. Should these keys not appear, we encourage you to open an issue on GitHub to seek assistance. Remember that having proper configurations is essential for a smooth installation and operation.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Dash No 
MongoDB No 
ShipFast No 
Stackreaction Yes 
StarfishETL No 
Wufoo Yes 
Zapier Yes 

Integrations

AWS Marketplace No 
Dash Yes 
MongoDB Yes 
ShipFast Yes 
Stackreaction No 
StarfishETL Yes 
Wufoo No 
Zapier No 

Pricing Details

$49 per month
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) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

HackerBay

Country

India

Website

cloudboost.io

Vendor Details

Company Name

Mongoose

Country

United States

Website

mongoosejs.com

Product Features

Application Development

Access Controls/Permissions Yes 
Code Assistance No 
Code Refactoring Yes 
Collaboration Tools Yes 
Compatibility Testing Yes 
Data Modeling Yes 
Debugging No 
Deployment Management Yes 
Graphical User Interface No 
Mobile Development No 
No-Code Yes 
Reporting/Analytics Yes 
Software Development Yes 
Source Control Yes 
Testing Management No 
Version Control No 
Web App Development 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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