Azure SQL Database vs. MySQL Comparison


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		Related Products 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 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 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 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 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 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 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 Windocks Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. 7 Ratings Visit Website Dragonfly Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system. 16 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
About Part of the Azure SQL family, Azure SQL Database is the intelligent, scalable, relational database service built for the cloud. It’s evergreen and always up to date, with AI-powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management. Eliminate the complexity of configuring and managing high availability, tuning, backups and other database tasks with a fully managed SQL database. Accelerate your application development on the only cloud with evergreen SQL using the latest SQL Server capabilities, and never worry about updates, upgrades, or end of support again. Build modern apps your way with provisioned and serverless compute options.	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 Not Supported Mac Not 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 Scalable cloud database for anyone	Audience Any business and organization looking for a powerful Relational Database solution
Support Phone Support 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 $0.5218 per vCore-hour Free Version Not Supported Free Trial Supported	Pricing Free Free Version Supported Free Trial Not Supported
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	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. 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 Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/services/sql-database/	Company Information Oracle Founded: 1977 United States www.mysql.com
Alternatives Google Cloud SQL Google	Alternatives Couchbase
InterBase Embarcadero	Teradata VantageCloud Teradata
ScaleGrid	Google Cloud BigQuery Google
Oracle Database Oracle	H2
SAP HANA SAP View All	RaimaDB Raima View All
Categories Database Supported Database as a Service (DBaaS) Supported NoSQL Database Supported SQL Databases Supported	Categories Embedded Database Supported Relational Database Supported SQL Databases 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 Apono Supported Appsmith Supported CorralData Supported DBmarlin Supported DbVisualizer Supported Decube Supported ER/Studio Enterprise Edition Supported Foglight Supported Helpware Supported Higson Supported Ikigai Supported Intellistack Supported JS7 JobScheduler Supported JackDB Supported Ketch Supported Netdata Supported OpenMetadata Supported QuerySurge Supported Stadium Supported Zuar Runner Supported Show More Integrations View All 173 Integrations	Integrations Apono Supported Appsmith Supported CorralData Supported DBmarlin Supported DbVisualizer Supported Decube Supported ER/Studio Enterprise Edition Supported Foglight Supported Helpware Supported Higson Supported Ikigai Supported Intellistack Supported JS7 JobScheduler Supported JackDB Supported Ketch Supported Netdata Supported OpenMetadata Supported QuerySurge Supported Stadium Supported Zuar Runner Supported Show More Integrations View All 1180 Integrations
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