MongoDB Atlas Reviews & Ratings

MongoDB Atlas

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
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features 5 out of 5 stars
design 5 out of 5 stars
support 5 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 Dataleyk?

Dataleyk is a secure, fully-managed cloud data platform designed specifically for small and medium-sized enterprises. Our mission is to simplify the complexities of Big Data analytics, making it accessible to all users regardless of their technical background. Acting as a vital connector in your journey towards data-driven success, Dataleyk enables you to effortlessly create a robust, adaptable, and dependable cloud data lake with minimal technical skills required. You can aggregate all your organization’s data from diverse sources, leverage SQL for in-depth exploration, and generate visual representations using your favorite BI tools or our advanced built-in graphing features. By transforming your approach to data warehousing, Dataleyk’s innovative cloud platform efficiently accommodates both scalable structured and unstructured data. Understanding the importance of data security, Dataleyk ensures that all your information is encrypted and offers on-demand data warehousing solutions. While the notion of achieving zero maintenance might seem daunting, striving for this objective can yield significant enhancements in operational delivery and groundbreaking results. Ultimately, Dataleyk is dedicated to making your data journey not only seamless and efficient but also empowering your business to thrive in a data-centric world.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Ant Media Server
Apono
Augment Code
Azure DocumentDB
Bloomreach
Comet Backup
Data V
Draftt
Entitle
Fleece AI
Golioth
Grok Build
Hevo
Kubernetes
Orka
Procyon
Rinalogy Search
Scarf
Terraform

Integrations Supported

Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

$0.08/hour
Free Version

Pricing Information

€0.1 per GB
Free Trial Offered?

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
Online Training
On-Site Training

Company Facts

Organization Name

MongoDB

Date Founded

2007

Company Location

United States

Company Website

www.mongodb.com/atlas

Company Facts

Organization Name

Dataleyk

Company Location

Germany

Company Website

dataleyk.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

Not specified

Data Analysis

Not specified

Data Lake

Not specified

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