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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features 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 Azure Data Lake Analytics?

Easily construct and implement highly parallelized data transformation and processing tasks using U-SQL, R, Python, and .NET across extensive datasets. There’s no requirement to manage any infrastructure, allowing you to process data on demand, scale up in an instant, and pay only for completed jobs. Harness the power of Azure Data Lake Analytics to perform large-scale data operations in just seconds. You won’t have to worry about server management, virtual machines, or clusters that need maintenance or fine-tuning. With Azure Data Lake Analytics, you can rapidly adjust processing capabilities, measured in Azure Data Lake Analytics Units (AU), from a single unit to thousands for each job as needed. You are billed solely for the processing power used during each task. The optimized data virtualization of your relational sources, such as Azure SQL Database and Azure Synapse Analytics, allows you to interact with all your data seamlessly. Your queries benefit from automatic optimization, which brings processing closer to where the original data resides, consequently minimizing data movement, boosting performance, and reducing latency. This capability ensures that you can tackle even the most challenging data tasks with exceptional efficiency and speed, ultimately transforming the way you handle data analytics.

Media

Media

Integrations Supported

Microsoft Azure
AWS CloudFormation
Ant Media Server
Apono
Azure DocumentDB
Bloomreach
CloudZero
Fleece AI
Grok Build
Kubernetes
Lyftrondata
Mimasa AI
Procyon
QuerySurge
Quickwork
SQLyog
Sliplane
voyage-4-large

Integrations Supported

Microsoft Azure
Azure Data Lake
Openbridge

API Availability

Has API

API Availability

Pricing Information

$0.08/hour
Free Version

Pricing Information

$2 per hour

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / 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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/data-lake-analytics/

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

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