MongoDB vs. YDB Comparison


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Also available in EU-hosted sovereign cloud. 68 Ratings Visit Website Google Cloud SQL Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. Simplify database operations with AI-powered assistance in Gemini, now in preview on Cloud SQL. 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About MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.	About Entrust YDB with keeping your application state regardless of how large or frequently modified it is. Handling petabytes of data and millions of transactions per second is not an issue. Build analytical reports based on data you store in YDB with performance comparable to database management systems purpose-built for this use case. No compromises on consistency and availability are necessary. Use the YDB topics feature to reliably send data between your applications or consume change data capture feed from regular tables. Exactly-once and at-least-once semantics are available to choose from. YDB is designed to work in three availability zones, ensuring availability even if the whole availability zone goes offline. It recovers automatically after a disk, server, or data center failure with minimum latency disruptions for applications.
Platforms Supported Windows Supported Mac Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Application developers seeking a solution to create, build, deploy and run their cloud native apps	Audience IT teams wanting an open-source distributed SQL Database solution with high availability, scalability, strong consistency, and ACID
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 4.8 / 5 ease 4.7 / 5 features 4.7 / 5 design 4.7 / 5 support 4.9 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros 1. The best feature of MongoDB is ease of use and easy to learn syntax. 2. It is scalable and perfect database for small and large application as well. 3. It can be easily connected with various tools through APIs. Not only that, but it provides of the best support among all databases because of the large community. 4. It has good support for many programming languages and framework integration. - MongoDB has reading and writing speed faster than any typical SQL Database. - The user interface is clean and simple to use, also, the installing and set up of the application is pretty straightforward. - It is a highly scalable database, perfect for big projects and applications. - It supports easy and quick integration with many third-party applications. - The syntax used in the application is easy to learn and does not take up a lot of time in the process. - MongoDB is a document based database which is compatible with both large and small scale application. - Operations like CRUD operation are fast and reliable, easy to use. - The learning curve for the application is quite low, any beginner can get used to the application in few days. - The community size of the application is quite large, which helps a lot when stuck with a problem with the application. - MongoDB reads and writes data in real-time quite fast. - Connection can be made with any tool through the use of APIs. - It supports all the major programming languages and frameworks. - It is flexible to use and can be scalable. - The UI of the application is simple and intuitive. The best part of using MongoDB as a database for any application is the reliability and ease of use. The application's user interface is crafted for simplicity and functionality. It has NoSQL architecture, which makes it preferable to migrate any project to this platform. Along with ease of usage, it is also a good platform for scalable applications. Cons 1. Usually, it takes up a lot more disk space than any other alternatives. 2. There are some security concerns which should be resolved for more trust building of the users. - Using more than few relational data leads to the application becoming trick and complex to handle. - It is a NoSQL, easy to use database, no cons in my usage. - It is not a suitable database when it comes to writing complex queries. - Memory consumption is quite high. There is some complexity initially in the set-up, but the community is quite helpful in resolving those issues.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information MongoDB Founded: 2007 United States www.mongodb.com	Company Information YDB Founded: 2022 ydb.tech
Alternatives Couchbase	Alternatives Azure Database for PostgreSQL Microsoft
RaimaDB Raima	Yandex Managed Service for YDB Yandex
Google Cloud Firestore Google	StarTree
MongoDB Atlas MongoDB	Apache Cassandra Apache Software Foundation
Azure Cosmos DB Microsoft View All	ClickHouse View All
Categories Big Data Supported Data Management Supported Database Supported Database Management Systems (DBMS) Supported Distributed Databases Supported Document Databases Supported NoSQL Database Supported Serverless Supported	Categories Database Supported Database Management Systems (DBMS) Supported
Database Features Backup and Recovery Supported Creation / Development Supported Data Migration Supported Data Replication Supported Data Search Supported Data Security Supported Database Conversion Supported Mobile Access Supported Monitoring Supported NOSQL Supported Performance Analysis Supported Queries Supported Relational Interface Supported Virtualization Supported Show More Features Big Data Features Collaboration Not Supported Data Blends Not Supported Data Cleansing Not Supported Data Mining Not Supported Data Visualization Supported Data Warehousing Supported High Volume Processing Supported No-Code Sandbox Not Supported Predictive Analytics Not Supported Templates Not Supported Data Management Features Customer Data Not Supported Data Analysis Supported Data Capture Not Supported Data Integration Supported Data Migration Supported Data Quality Control Supported Data Security Supported Information Governance Not Supported Master Data Management Not Supported Match & Merge Not Supported NoSQL Database Features Auto-sharding Supported Automatic Database Replication Supported Data Model Flexibility Supported Deployment Flexibility Supported Dynamic Schemas Supported Integrated Caching Supported Multi-Model Supported Performance Management Supported Security Management Supported
Integrations AlphaMED Supported BI Book Supported Boltic Supported Camunda Supported Clutch Supported Codified Supported DrapCode Supported FriendliAI Supported Idealogic Supported Microsoft Intelligent Data Platform Supported Modelence Supported Navisite Managed Hosting Supported Ondat Supported Opal Security Supported Pentaho Supported Rivery Supported ScaleGrid Supported ShipFast Supported ngSemantic Supported Show More Integrations View All 650 Integrations	Integrations AlphaMED Not Supported BI Book Not Supported Boltic Not Supported Camunda Not Supported Clutch Not Supported Codified Not Supported DrapCode Not Supported FriendliAI Not Supported Idealogic Not Supported Microsoft Intelligent Data Platform Not Supported Modelence Not Supported Navisite Managed Hosting Not Supported Ondat Not Supported Opal Security Not Supported Pentaho Not Supported Rivery Not Supported ScaleGrid Not Supported ShipFast Not Supported ngSemantic Not Supported Show More Integrations View All 2 Integrations
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