MongoDB Atlas Reviews & Ratings

MongoDB Atlas

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
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features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is MongoDB Atlas?

MongoDB Atlas is recognized as a premier cloud database solution, delivering unmatched data distribution and fluidity across leading platforms such as AWS, Azure, and Google Cloud. Its integrated automation capabilities improve resource management and optimize workloads, establishing it as the preferred option for contemporary application deployment. Being a fully managed service, it guarantees top-tier automation while following best practices that promote high availability, scalability, and adherence to strict data security and privacy standards. Additionally, MongoDB Atlas equips users with strong security measures customized to their data needs, facilitating the incorporation of enterprise-level features that complement existing security protocols and compliance requirements. With its preconfigured systems for authentication, authorization, and encryption, users can be confident that their data is secure and safeguarded at all times. Moreover, MongoDB Atlas not only streamlines the processes of deployment and scaling in the cloud but also reinforces your data with extensive security features that are designed to evolve with changing demands. By choosing MongoDB Atlas, businesses can leverage a robust, flexible database solution that meets both operational efficiency and security needs.

What is Cogniteev?

We provide an intuitive Data Access Automation Platform aimed at creating customized data sets and derivative applications, including search engines and data dashboards, which facilitate a better understanding and utilization of data. Our cutting-edge solutions enable organizations to obtain the information they need in a way that aligns with their requirements, ultimately boosting performance and supporting the achievement of their business goals. By employing sophisticated crawlers and connectors, we navigate through websites, preferred cloud services, and internal systems to collect the crucial information and data specified by your unique business criteria. This functionality allows for effortless reintegration into your current internal data systems, significantly enhancing the efficiency of data usage. With our platform, you not only gain access to essential insights but also have the ability to harness them for informed strategic decisions that promote growth, ensuring that your organization stays ahead in a competitive landscape. Additionally, our services are tailored to adapt to the evolving needs of your business, making them an essential asset for long-term success.

Media

Media

Integrations Supported

AWS CloudFormation
Ant Media Server
Augment Code
Azure DocumentDB
Azure Marketplace
Blink
Bloomreach
CloudAvocado
Clutch
Collate
Comet Backup
DocsGPT
DocumentDB for VS Code
Entitle
Lyftrondata
Mimasa AI
Neblex Integration Fabric
Procyon
QuerySurge
Studio 3T

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$0.08/hour
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

MongoDB

Date Founded

2007

Company Location

United States

Company Website

www.mongodb.com/atlas

Company Facts

Organization Name

Cogniteev

Company Location

France

Company Website

www.cogniteev.com

Categories and Features

AI Memory Layers

Not specified

Big Data

Not specified

Data Intelligence

Not specified

Data Management

Not specified

Database

Not specified

Database Backup

Not specified

Distributed Databases

Not specified

Document Databases

Not specified

NoSQL Database

Not specified

Vector Databases

Not specified

Categories and Features

Big Data

Collaboration
Data Blends
Data Mining
Data Visualization
High Volume Processing

Data Intelligence

Not specified

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