MongoDB vs. MySQL Comparison


MongoDB	MySQL Oracle	+	+
Learn More Update Features	Learn More Update Features	Add To Compare	Add To Compare


		Related Products Couchbase Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond. Couchbase’s operational data platform for AI eliminates fragmented tech stacks, so teams can stay innovative and agile, with less risk and lower cost of ownership. With enterprise partnership and scalable, AI-ready technology, Couchbase turns your data into the foundation for your next breakthrough. 418 Ratings Visit Website RaimaDB RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree. 12 Ratings Visit Website TIMi The most efficient, sovereign & unified "on-premise" data platform available today. Think about the Azure data platform, but on steroids and 100% Sovereign. TIMi is an ethical solution: Zero Lock-In: We gain your trust through exceptional performance and service, not artificial vendor lock-in Fair price & No hidden fees & No price hikes TIMi is a leader in these fields: Data Preparation/ETL/BPA/BPM/ESB - automate the most complex tasks without code - Connect to everything: Sharepoint, SAP, Salesforce, Facebook, GAds, etc. BigData - 1 TIMi-server is faster than 267 Spark-servers - Process any volumetry at negligible infrastructure cost. Process billions of rows in a matter of seconds on a standard 2K€ server. - manage peta-byte Data Lakes AI/ML: We invented the 1st Auto-ML tool in 2007 TIMi is a horizontal solution used in any industry: Manufacturing, Telecoms, Banks, Supermarket chains, Defense, Gov. Also available in EU-hosted sovereign cloud. 68 Ratings Visit Website Teradata VantageCloud Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. 1,121 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. It streamlines development, performance optimization, fleet management, governance, and migration. 554 Ratings Visit Website DbVisualizer DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features: - SQL editor with autocomplete, visual query builders, variables, and execution tools - AI Assistant for questions, error explanations, and code analysis - Built-in Git integration for SQL scripts and collaboration - Customizable layouts, key bindings, and UI themes - Favorite scripts and database objects for quick access - Configurable security settings for organizations Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries. 585 Ratings Visit Website Google Cloud Platform Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. 61,049 Ratings Visit Website Google Cloud BigQuery BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. 2,027 Ratings Visit Website Google Cloud Run Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler. 349 Ratings Visit Website Runpod Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. 230 Ratings Visit Website
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 MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.
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 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 Any business and organization looking for a powerful Relational Database solution
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Supported 24/7 Live Support 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 4.8 / 5 ease 4.5 / 5 features 4.8 / 5 design 4.7 / 5 support 4.7 / 5 Read all reviews
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.	Pros & Cons from Real Users Pros 1. It can be easily integrated with various development environments. 2. It is not heavy on the CPU. Furthermore, it is available on all the operating systems, such as- Windows, Linux and, macOS. 3. The operation time is low, and the processes happens very quickly. - The best feature about MySQL that makes it most appealing to the beginners is how easy it is to install, set up and get started with it. - It supports integration with almost all the major IDEs like VS Code and IntelliJ IDEA. - The queries used are simple and readable in layman language. - Multiple databases can be connected at once, so the user can work on multiple projects simultaneously. - MySQL performs fast in every scenario and provide effective services. - It can store relational data and managing it in future is effortless. - It provides a robust security to the databases. 1. It can be easily integrated with numerous development tools, programming languages and environments. 2. It is very efficient to use and does not take up a lot of CPU power to run. Furthermore, it can be easily used between teams working on a large project. 3. It is an open source software, hence, free to use under GNU license. According to my real life experience, Always feel MySQL is one of the best platform for data management (Create, Update, Retrieve and Delete operations for DB, tables and related things). Some key features: - Cross-platform support for different operating systems. - MySQL is easy to use. - Quick management. - Offers a customizable interface so that one cannot get stuck. - Efficient use of resources at the memory. - A high-speed transactional processing system. - Storing relational data. - Easy integration with development tools and environments. - Connection with different programming languages. Cons 1. The user has to know the SQL queries in order to use the tool. - The software crashes occasionally but luckily because of auto save feature no data gets lost. - It is the best tool for small databases, but when it comes to large databases, it is not the ideal option because of its limitations. - User Interface and layout is confusing for beginners. 1. There is a high learning curve while learning to use this initially. I faced few issues with performance but now resolved with updated version. No Cons!
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Company Information MongoDB Founded: 2007 United States www.mongodb.com	Company Information Oracle Founded: 1977 United States www.mysql.com
Alternatives Couchbase	Alternatives Couchbase
RaimaDB Raima	Teradata VantageCloud Teradata
Google Cloud Firestore Google	Google Cloud BigQuery Google
MongoDB Atlas MongoDB	H2
Azure Cosmos DB Microsoft View All	RaimaDB Raima 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 Embedded Database Supported Relational Database Supported SQL Databases 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 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 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	Show More Features Relational Database Features ACID Compliance Supported Data Failure Recovery Supported Multi-Platform Supported Referential Integrity Supported SQL DDL Support Supported SQL DML Support Supported System Catalog Supported Unicode Support Supported
Integrations 360 Monitoring Supported Centreon Supported Datashelter Supported ER/Studio Data Architect Supported Enterprise Recon Supported IronCore Labs Supported Kamatera Supported Luzmo Supported Metric Insights Supported Ottomatik Supported Peaka Supported Percona Monitoring and Management (PMM) Supported Polarity Supported SQLyog Supported Superblocks Supported Superjoin Supported Syhunt Hybrid Supported Timbr.ai Supported rudol Supported webapp.io Supported Show More Integrations View All 646 Integrations	Integrations 360 Monitoring Supported Centreon Supported Datashelter Supported ER/Studio Data Architect Supported Enterprise Recon Supported IronCore Labs Supported Kamatera Supported Luzmo Supported Metric Insights Supported Ottomatik Supported Peaka Supported Percona Monitoring and Management (PMM) Supported Polarity Supported SQLyog Supported Superblocks Supported Superjoin Supported Syhunt Hybrid Supported Timbr.ai Supported rudol Supported webapp.io Supported Show More Integrations View All 1180 Integrations
Claim MongoDB and update features and information Claim MongoDB and update features and information	Claim MySQL and update features and information Claim MySQL and update features and information