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Description

MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.

Description

ShimentoX is a transformative platform powered by artificial intelligence, integrating generative AI, sophisticated analytics, cloud modernization, and intelligent automation to assist organizations in converting their data into quantifiable business results. By focusing on the transformation of unprocessed enterprise data into practical insights, it empowers businesses to enhance workflows, refine decision-making processes, and discover new revenue streams through its data monetization features. The platform offers proactive AI systems that automate intricate business operations and establish flexible workflows that adapt to evolving operational demands. Additionally, it includes tools for enterprise search, supply chain optimization, personalization, and fraud protection, which are designed to boost efficiency and elevate customer engagement across various sectors, including banking, retail, telecommunications, and technology. Furthermore, ShimentoX aims to create a data-driven culture within organizations, ensuring that insights are not just generated but effectively utilized for strategic growth.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Ant Media Server Yes 
Apono Yes 
Azure DocumentDB Yes 
CloudAvocado Yes 
Collate Yes 
Data V Yes 
Forest Yes 
GlobalSUITE Yes 
Grok Build Yes 
Hevo Yes 
HiveMQ Yes 
Integrate.io Yes 
Lyftrondata Yes 
Microsoft Azure Yes 
PromptX Yes 
Resmo Yes 
SQLyog Yes 
Scarf Yes 
TapData Yes 
voyage-4-large Yes 

Integrations

Ant Media Server No 
Apono No 
Azure DocumentDB No 
CloudAvocado No 
Collate No 
Data V No 
Forest No 
GlobalSUITE No 
Grok Build No 
Hevo No 
HiveMQ No 
Integrate.io No 
Lyftrondata No 
Microsoft Azure No 
PromptX No 
Resmo No 
SQLyog No 
Scarf No 
TapData No 
voyage-4-large No 

Pricing Details

$0.08/hour
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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

MongoDB

Founded

2007

Country

United States

Website

www.mongodb.com/atlas

Vendor Details

Company Name

ShimentoX

Founded

2009

Country

United States

Website

shimentox.ai/

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

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 

Database Backup

Automatic Backup No 
Backup Locations No 
Backup Scope Settings No 
Differential Backup No 
Filegroup Backup No 
Full Backup No 
Incremental Backup No 
Manual Backup No 
Multiple Backups No 

NoSQL Database

Auto-sharding No 
Automatic Database Replication No 
Data Model Flexibility No 
Deployment Flexibility No 
Dynamic Schemas No 
Integrated Caching No 
Multi-Model No 
Performance Management No 
Security Management No 

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