Comparing Managed MySQL Services on AWS, Azure, and GCP (2023)

FAQs

How does GCP compare to AWS and Azure? ›

AWS vs Azure vs GCP Pros.

AWS is a Stablish market leader. Azure is Open to Hybrid Cloud systems. GCP specializes in high compute offerings like Big data, Machine Learning. High Transfer Stability: Minimal data loss during server and storage transfer.

Azure SQL is a set of managed, secure, and intelligent SQL Server database solutions that run in the Azure Cloud. MySQL, on the other hand, is a popular Relational Database Management System (RDBMS).

AWS supports MySQL in a variety of ways, including a fully managed database service, Amazon Relational Database Service (RDS) for MySQL. Amazon Aurora with MySQL compatibility is also built using MySQL, and Amazon RDS supports the popular MySQL fork project, MariaDB.

Compared to AWS, GCP will provide you the most basic instance, containing two virtual CPUs and 8 GB of RAM, at a 25 percent cheaper rate. So, it will cost you around US$52/month. The largest instance offered by AWS that includes 3.84 TB of RAM and 128 vCPUs will cost you around US$3.97/hour.

With an intuitive interface, lower costs, preemptible instances and flexible compute options, GCP is an attractive alternative to both AWS and Azure. Google uses full-scale encryption of all data and communication channels including the traffic between data centers.

Key Differences: AWS vs Azure vs Google Cloud

AWS provides instances of virtual servers and virtual machines, while Azure provides virtual hard disks, and Google Cloud provides virtual machine instances. AWS instances can be purchased in any of the following models: On-demand, Reserved, and Spot.

The most significant difference from SQL Database and SQL Managed Instance is that SQL Server on Azure Virtual Machines allows full control over the database engine.

Azure SQL managed instance provides integration of native virtual network while azure SQL database enables the access of restricted virtual network by using endpoints of Vnet.

Azure Database for MySQL is paas DB with mysql storage engine and Azure SQL Database is paas DB with SQLServer storage engine.

What is the maximum storage size for AWS RDS MySQL? ›

You can now create Amazon RDS for MySQL and Amazon RDS for MariaDB database instances with up to 64TB of storage when using R5 instance types. Previously, R5 instances supported 16TB of storage. The new storage limit is available when using the Provisioned IOPS (IO1) and General Purpose (GP2) storage types.

GCP is, however, better for those who prefer to pay a fixed price for all the services they need. Such a pricing model often makes GCP a less expensive option than AWS. For those who want a simple pricing model and don't mind committing to using the services for a certain period, GCP is an excellent choice.

AWS has across 93 availability zones and 29 geographic regions worldwide. GCP is present in more than 200+ countries and 106 zones across the globe.

Google Cloud SQL can be classified as a tool in the "SQL Database as a Service" category, while MySQL is grouped under "Databases". "Fully managed" is the top reason why over 12 developers like Google Cloud SQL, while over 778 developers mention "Sql" as the leading cause for choosing MySQL.

However, there are some disadvantages to using GCP, including security risks, cost concerns, reliability issues, privacy concerns, availability concerns, and performance issues. Before using GCP, businesses should carefully consider these disadvantages and weigh them against the advantages of GCP.

AWS holds the largest share of the cloud market. AWS consists of many different cloud computing products and services including compute, storage, analytics, databases, networking, mobile, developer tools, management tools, and IoT.

Key Differences Between AWS and Azure

AWS provides temporary storage that is assigned when an instance is launched and destroyed when it is terminated. In contrast, Azure provides temporary storage via block storage with page Blobs for VMs and Block Blobs for object storage.

Amazon Web Services (AWS) has an average salary of $106,210 USD across all jobs. Google Cloud (GCP) has an average salary of $105,454 USD across jobs. Microsoft Azure has an average salary of $96,649 USD across jobs.

What is the best cloud platform? ›

Up to 280, unless the instance storage size or Azure Premium Disk storage allocation space limit has been reached. 32,767 files per database, unless the instance storage size limit has been reached. Maximum size of each data file is 8 TB. Use at least two data files for databases larger than 8 TB.

SQL Managed Instance provides additional security isolation from other tenants on the Azure platform. Security isolation includes: Native virtual network implementation and connectivity to your on-premises environment using Azure ExpressRoute or VPN Gateway.

Specifically, Azure SQL Edge doesn't support SQL Server components like Analysis Services, Reporting Services, Integration Services, Master Data Services, Machine Learning Services (In-Database), and Machine Learning Server (standalone).

Azure File storage is not optimized for high-performance transactional workloads. Uses the NTFS file system, which is the same file system used by Windows. Azure Disk storage provides block-level storage for Azure VMs and is suitable for high-performance transactional workloads that require low latency and high IOPS.

Azure SQL is based on SQL Server engine, you can easily migrate applications and continue to use the tools, languages, and resources that you're familiar with. Azure Cosmos DB is used for web, mobile, gaming, and IoT application that needs to handle massive amounts of data, reads, and writes at a global scale.

Azure Database for MySQL is cost effective and easy to set up, operate, and scale. Enjoy advanced security, same-zone or zone-redundant high availability, and a service-level agreement (SLA) of up to 99.99 percent. Learn how to migrate your on-premises MySQL database to Azure with this migration guide.

InnoDB. If you work on applications based on MySQL now, InnoDB will most likely be your storage engine. It ensures all options that a database would require, and is the most popular choice for the absolute majority of developers. InnoDB supports transactions and foreign keys constraints.

The MySQL service doesn't allow direct access to the underlying file system. Some data manipulation commands aren't supported.

Which are managed database services available in GCP? ›

Fully managed MySQL, PostgreSQL, and SQL Server. Simplify migrations to Cloud SQL from MySQL, PostgreSQL, SQL Server, and Oracle databases with Database Migration Service. Set up easy-to-use, low-latency database replication with Datastream.

Purpose-built Azure databases

Develop high-performance applications of any size or scale with a fully managed and serverless distributed database supporting open-source PostgreSQL, MongoDB, and Apache Cassandra as well as Java, Node. JS, Python, and . NET.

An Amazon RDS DB instance in the storage-full status doesn't have enough available space to perform basic operations, such as connecting to or restarting the instance. To resolve this issue, do the following: Confirm that the DB instance status is storage-full. Increase the allocated storage of your DB instance.

By default, customers are allowed to have up to a total of 40 Amazon RDS DB instances. Of those 40, up to 10 can be Oracle or SQL Server DB Instances under the "License Included" model. All 40 can be used for MySQL, Oracle, SQL Server, or PostgreSQL under the "BYOL" model.

Note that RDS for SQL Server has a limit of up to 100 databases on a single DB instance to learn more see the Amazon RDS for SQL Server User Guide.

The default max size for all TempDB data files on the new SQL Managed Instances is -1 which stands for unlimited. The default max size for TempDB log file is 120 GB on the General Purpose managed instance and 2 TB on the Business Critical managed instances.

Azure SQL Database offers several service tiers to target different workloads: Basic, Standard (General Purpose), Premium (Business Critical), and HyperScale.

The Obvious: Google Is Not Surpassing AWS

Amazon continues to have the advantage as the biggest and most successful cloud provider in the market. While AWS is growing at a smaller rate now than both Google Cloud and Azure, Amazon still holds the largest market share of all three.

Which is cheaper GCP or AWS? ›

In addition to the world's largest networks, Google Cloud is cheaper than AWS and Azure. The bill is on minute-level increments, only charging for the computing time that is used. Depending on the instance, GCP is 25-50% cheaper than AWS.

Why isn't Google Cloud Platform as popular compared to AWS and Azure? In my view, they are not popular because they don't offer any Microsoft related solutions such as Windows compute unit or SQL Server. So if a company has any Microsoft based workload, they can not move these resources to the GCP.

With an intuitive interface, lower costs, preemptible instances and flexible compute options, GCP is an attractive alternative to both AWS and Azure. Google uses full-scale encryption of all data and communication channels including the traffic between data centers.

Summary: Azure provides a well-rounded set of storage services and features, but can have a steep learning curve, especially for users without a background in Microsoft technology. Google offers fewer features but shines in storage pricing and ease of its use.

According to a Statista report from the fourth quarter of 2021, AWS has a 33% market share, Azure has a 22% market share, and Google Cloud has a 9% market share.

Unsupported MySQL features for Cloud SQL

The following feature is unsupported for Cloud SQL for MySQL 5.6 and 5.7: The SUPER privilege Note: Because Cloud SQL is a managed service, it restricts access to certain system procedures and tables that require advanced privileges.

Cloud SQL for MySQL is a fully-managed database service that helps you set up, maintain, manage, and administer your MySQL relational databases on Google Cloud Platform.

Summary: Azure provides a well-rounded set of storage services and features, but can have a steep learning curve, especially for users without a background in Microsoft technology. Google offers fewer features but shines in storage pricing and ease of its use.

You can also save more as the Billing for AWS is done on Per-Hour basis, whereas Google Cloud Platform provides billing on a Per-Second basis. Moreover, Google Offers additional discounts for Long-Term usage and there are no Upfront Costs too.

However, there are some disadvantages to using GCP, including security risks, cost concerns, reliability issues, privacy concerns, availability concerns, and performance issues. Before using GCP, businesses should carefully consider these disadvantages and weigh them against the advantages of GCP.

Is GCP tougher than AWS? ›

It is easier to run Kubernetes on GCP because Google has been involved in the development of Kubernetes from its inception. Elastic Kubernetes Service in AWS provides no resource monitoring tool compared to Stackdriver by GCP.

While Azure has more functionality in general than AWS, it is simpler to use. AWS can be complex and is known for lots of documentation, whereas Azure uses technologies that you and your users are already accustomed to using, like Windows, Active Directory and Linux, so the transition to the cloud is less obvious.

Google Cloud Platform (GCP) is a widely used cloud computing platform for several reasons, including their convenient, easy-to-use tools and services. Our comprehensive guide will explore Google Cloud Platform in more detail, which also serves as an introduction to cloud computing technology in general.

Achieving 99.99% Uptime

A massive advantage in choosing Google Cloud hosting solutions is their commitment to achieving uptime upwards of 99.99%. This is reflected in their Compute Engine Service Level Agreement (SLA), where any dip below a monthly uptime of 99.99% will result in financial credit.