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What is Yandex Managed Service for MongoDB?

Access the newest features and official versions of MongoDB that guarantee full compatibility with the platform. When your cluster faces higher demand, you can effortlessly scale up by adding new servers or boosting the capacity of existing ones within mere minutes. Concentrate on advancing your project while we take care of the backend aspects of your database, including software backups, monitoring, fault tolerance, and updates to keep your system running smoothly. Clusters operating on MongoDB version 4.0 or later can activate sharding, enabling the addition and configuration of individual shards to enhance performance. Every connection to the database management system is safeguarded with TLS encryption, and backups are secured through GPG encryption for added protection. Your data adheres to local regulations, GDPR, and ISO industry standards, ensuring its security and confidentiality. In contrast to conventional databases that rely on standard tables, MongoDB structures data in collections of JSON-like documents, offering significant advantages for projects where data schemas may change over time. This adaptability allows developers to modify their applications with minimal rework, fostering innovation and efficiency in your development process. As your project grows, this approach can lead to both time and cost savings, making MongoDB a valuable asset for any evolving application.

What is Azure DocumentDB?

Azure DocumentDB is a powerful document database solution that supports MongoDB compatibility and is specifically crafted to aid in the creation of AI-oriented applications, streamline the transfer of MongoDB workloads, and maintain a cohesive document database engine that is easily transferable. It provides excellent support for hybrid and multicloud architectures while guaranteeing exceptional performance, reliability, security, and management capabilities, alongside effortless integration with Azure AI functionalities. Originating from DocumentDB, an open-source engine overseen by the Linux Foundation, Azure DocumentDB gives developers transparency and encourages community-led improvements, all while removing limitations imposed by restrictive licenses. It also accommodates familiar MongoDB skills, drivers, tools, APIs, and document formats like BSON and JSON, in addition to supporting popular programming languages such as Node.js, Python, Java, and .NET. Developers can build and evaluate applications that are MongoDB-compatible across different environments—including local setups, on-premises infrastructure, and various cloud services—prior to their deployment on Azure DocumentDB, ensuring that scalability and efficient management align with enterprise requirements. This adaptability fosters a culture of innovation within teams, enabling them to quickly respond to the ever-evolving technological landscape and meet the needs of their users effectively. This capability further enhances the overall development experience, making it a preferred choice for businesses aiming to stay ahead in a competitive market.

Media

Media

Integrations Supported

JSON
MongoDB
Yandex Cloud

Integrations Supported

JSON
MongoDB
.NET
Azure Cosmos DB
DocumentDB for VS Code
Java
Microsoft Azure
MongoDB Atlas
Node.js
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$13.943 per month
Free Version

Supported Platforms

SaaS
Android
iPhone

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Yandex

Company Location

United Arab Emirates

Company Website

cloud.yandex.com/en/services/managed-mongodb

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/documentdb

Categories and Features

Database

Not specified

Categories and Features

Document Databases

Not specified

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