Amazon Web Services (AWS) and Microsoft Azure are two of the most widely used cloud computing platforms available today. Both provide the same capabilities, but there are some significant differences between the two. Let's take a look at the main differences between AWS and Azure and help customers in making an informed choice on which cloud-based option they prefer. If you're seeking AWS certification, visit this page to learn more on the AWS Course in Pune.
- Compute Services
AWS provides a broad range of computing options over Azure and Azure that includes Elastic Compute Cloud (EC2), Elastic Container Service (ECS) and Lambda. EC2 allows users to build and manage virtual machines that can be increased or decreased depending on the demands. ECS allows containers to be managed and controlled. Lambda offers serverless computing that allows developers to run their apps without the need to manage or provisioning servers.
Azure Azure is a cloud-based alternative that offers the features of Virtual Machines and containers instances and Functions. Virtual Machines are like EC2 which allows users to create as well as manage their own virtual server. Container instances permit you to operate and manage containers. Functions allow servers to be used for computing. But Azure's serverless service isn't as effective as Amazon's Lambda.
- Storage
All AWS and Azure offers numerous storage options. They use a variety methods to store the information. AWS provides Simple Storage Service (S3) that was specifically created to aid in data storage as well as retrieval large amounts of information. Azure also offers Blob Storage, which was specially made to store non-structured data. AWS also offers Elastic Block Store (EBS) to store data at the block level, as well as Elastic File System (EFS) to manage data at the file level.
Azure is, however, provides Disk Storage that is similar to EBS and Files Storage that is similar to EFS. Additionally, Azure provides Archive Storage that was designed to offer the capability of storing information for a lengthy period.
- Database Services
AWS offers a wider range of database-related services than Azure and Azure. This in addition to Azure and Azure include Relational Database Service (RDS), DynamoDB, DocumentDB, and Aurora. RDS works with most popular relational databases such as MySQL, PostgreSQL, and Oracle and DynamoDB is a NoSQL Database Service. DocumentDB is a document-oriented database service, and Aurora is a MySQL and PostgreSQL-compatible database service.
Azure Azure provides SQL Database Cosmos DB as an alternative to Table Storage. SQL Database is an relational database that can be used to SQL Server MySQL in addition to PostgreSQL. Cosmos DB is a multi-model global distributed database that is specifically developed for use in the applications that require. Table Storage is a NoSQL Keys-Value Storage.
- Security
Both AWS and Azure both offer the best security features available, including encryption throughout the day and when you travel, as well as managing accounts and identities (IAM) and security and protection to your networks. There is a distinct distinction between the two. AWS provides more advanced security features, including CloudTrail which monitors API calls and the instances that occur within AWS. AWS accounts. AWS also provides Artifact that protects sensitive data and handles sensitive data through Macie which makes use of machine learning to identify and mitigate security risks.
Azure's security capabilities are comprised of Azure Active Directory (AAD) that offers security for identities as well as Azure Security Center, which protects your business from cyber-attacks. Azure also has Azure Policy that ensures that the policy is in place across all Azure tools. Learn more about it here, AWS Classes in Pune.
- Pricing
The costs that are charged by Azure AWS or AWS in the case of AWS as well as Azure differ in various ways. AWS charges are based on the nature of the instance, its capacity for storage, the transfer of data, and many other variables. Azure charges according to its size, capacity for storage of data and transfer, and its core count. Azure is also able to use it's "pay-as-you-go" pricing model, which lets users be charged for services they use.
- Machine Learning and Artificial Intelligence
AWS provides a variety of machine learning (ML) as well as artificial intelligence (AI) solutions made up of SageMaker, Comprehend, Rekognition and Lex. SageMaker is an application that can provide ML models to develop and deploy, while Comprehend examines natural languages and texts. Rekognition is a software that recognizes images. Lex is a program that provides AI for conversations.
Azure provides ML as well as AI services, such as Azure Machine Learning, Cognitive Services and Bot Framework. Bot Framework. Azure Machine Learning offers ML creation and installation. Cognitive Services offer APIs for language processing, vision speech processing processing, and. Bot Framework enables chatbot development.
- Migration and Integration
AWS provides services to transfer workloads to AWS for instance, AWS Migrate that allows users to move workloads that are currently being run on the facility to AWS. AWS provides integration options, such as, AWS Direct Connect that creates unlimited connections between the infrastructure, the location of your company and AWS.
Azure provides services for transferring and moving, such as Azure Site Recovery which replicates and restores the workstations on the Azure premises. Azure. Sevenmentor has the highest effective supplier of AWS Training in Pune. The professionals they use have years of experience in the field of training. They provide more than instructions, but also help you in enhancing your abilities within AWS which is very beneficial for your professional growth.
