Cloud Provider Comparisons: AWS vs Azure vs GCP - Databases

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  • Опубликовано: 27 май 2024
  • In Cloud Provider Comparisons, we take a look at the same cloud services across the three major public cloud providers - Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). In this video we focus on databases. Join Rob Moore as he dives into comparing Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and cloud-native PaaS SQL databases, and NoSQL databases, with a focus on key-value and document databases. If you’re curious about how the database services of AWS, Azure and GCP match up, watch on to find out!
    Links to everything covered in the episode are provided below.
    Timestamps:
    0:00 Introduction
    0:43 Databases fundamentals
    3:58 SQL (Relational) databases
    7:40 PaaS SQL databases
    10:36 Cloud-native PaaS SQL databases
    14:34 NoSQL Databases
    ---
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    - Rob Moore’s website: robdmoore.id.au/
    ---
    RESOURCES
    IaaS SQL- AWS:
    - Deploying Microsoft SQL Server on Amazon EC2: amz.run/4mD4
    - Oracle on AWS: aws.amazon.com/oracle/resources/
    - Install a LAMP web server on the Amazon Linux AMI: amz.run/4mD5
    - AWS Marketplace: amz.run/4mD7
    IaaS SQL - Azure:
    - SQL Server on Azure Virtual Machines: azure.microsoft.com/en-au/ser...
    - Oracle VM images on Azure: docs.microsoft.com/en-us/azur...
    - Integrating Microsoft Azure and Oracle Cloud Infrastructure: docs.microsoft.com/en-us/azur...
    - Azure Database for MySQL: docs.microsoft.com/en-us/azur...
    - PostgreSQL for Azure: docs.microsoft.com/en-us/azur...
    - MariaDB for Azure: docs.microsoft.com/en-us/azur...
    - Azure Marketplace: azuremarketplace.microsoft.co...
    IaaS SQL - GCP:
    - SQL Server on Google Cloud: cloud.google.com/sql-server
    - How to Set Up MySQL on Compute Engine: cloud.google.com/architecture...
    - Set up PostgreSQL on Compute Engine: cloud.google.com/community/tu...
    - Google Cloud Platform Marketplace: console.cloud.google.com/mark...
    PaaS SQL - AWS:
    - Amazon Relational Database Service (RDS): aws.amazon.com/rds/
    - Amazon RDS for SQL Server: aws.amazon.com/rds/sqlserver/
    - Amazon RDS for Oracle: aws.amazon.com/rds/oracle/
    - Amazon RDS for MySQL: aws.amazon.com/rds/mysql/
    - Amazon RDS for PostgreSQL: aws.amazon.com/rds/postgresql/
    - Amazon RDS for MariaDB: aws.amazon.com/rds/mariadb/
    PaaS SQL - Azure:
    - Azure SQL Managed Instance: azure.microsoft.com/en-au/pro...
    - Azure Database for MySQL: azure.microsoft.com/en-us/ser...
    - Azure Database for PostgreSQL: docs.microsoft.com/en-us/azur...
    - Azure Database for MariaDB: docs.microsoft.com/en-au/azur...
    PaaS SQL - GCP:
    - Cloud SQL for PostgreSQL, MySQL, and SQL Server: cloud.google.com/sql
    Cloud-native PaaS SQL - AWS:
    - Amazon Aurora: aws.amazon.com/rds/aurora/
    - Amazon Aurora Global Database: aws.amazon.com/rds/aurora/glo...
    - Amazon Aurora Serverless: aws.amazon.com/rds/aurora/ser...
    Cloud-native PaaS SQL - Azure:
    - Azure SQL Database: azure.microsoft.com/en-au/pro...
    - Azure SQL Database Hyperscale: docs.microsoft.com/en-au/azur...
    - Azure SQL Database elastic pools: docs.microsoft.com/en-au/azur...
    - Azure SQL Database serverless: docs.microsoft.com/en-au/azur...
    Cloud-native PaaS SQL - GCP:
    - Cloud Spanner: cloud.google.com/spanner
    NoSQL - AWS:
    - Amazon SimpleDB: aws.amazon.com/simpledb/
    - Amazon DocumentDB (with MongoDB compatibility): aws.amazon.com/documentdb/
    - Amazon DynamoDB: aws.amazon.com/dynamodb/
    NoSQL - Azure:
    - Azure Table Storage: azure.microsoft.com/en-us/ser...
    - Azure Cosmos DB: azure.microsoft.com/en-us/ser...
    NoSQL - GCP:
    - Cloud Bigtable: cloud.google.com/bigtable
    - Datastore: cloud.google.com/datastore/
    - Firebase Realtime Database: firebase.google.com/products/...
    - Firestore: cloud.google.com/firestore
    #aws #microsoftazure #googlecloudplatform

Комментарии • 17

  • @SarbjeetJohal
    @SarbjeetJohal 2 года назад +4

    Wow! Those are pretty deep level of comparisons! Thanks Rob!

  • @tony-ma
    @tony-ma 2 года назад +2

    Awesome comparison, thanks Rob

  • @aireddy
    @aireddy 2 года назад +2

    This is pretty informative and must to know if you are working with multi cloud environment.

  • @warnercooler4488
    @warnercooler4488 2 года назад

    So much useful info jam packed into this short video. Thank you so much!

  • @scottrobinson4428
    @scottrobinson4428 2 года назад +1

    Great explanation of the differences - thanks!

  • @kisho2679
    @kisho2679 2 года назад

    are there free versions/alternatives available of these?

  • @KenSherman
    @KenSherman Год назад

    This is a #Rob THAT I CAN TRUST more. 😁
    However, this topic of databases is extensive. And to think there is more?! 😅

  • @akin242002
    @akin242002 2 года назад +1

    GCP > AWS > Azure for databases. GCP's BigQuery and BigTable are the best for SQL & NoSQL on a large scale. AWS DynamoDB is the 2nd best for NoSQL. Also Aurora from AWS is very good too for Postgress SQL in specific situations, but many people claim it isn't needed over Mariah DB.

    • @akin242002
      @akin242002 2 года назад

      I forgot to add AWS Redshift. Also a great choice, but 2nd to Google BigQuery.

  • @mrslake7096
    @mrslake7096 Год назад

    Thanks

  • @m_sedziwoj
    @m_sedziwoj 2 года назад +1

    So no Google BigQuery, dose AWS or Azure have alternative to it?

    • @m_sedziwoj
      @m_sedziwoj 2 года назад

      @@acloudguru so I can put eg 20TB data in day and make simple query to make report? Or they are (from my memory) requiring putting cluster, balance data etc.?
      I think video about unique solution in each cloud would be great. Bigquery as server less solution which can process petabytes of data using simple SQL is for some big thing, data analytics would love, but not only. But others may have some gems in they portfolio too.

    • @akin242002
      @akin242002 2 года назад

      I was thinking the same thing. BigQuery is one of the most commonly used services by GCP customers. Far more compatability and scaleable for large warehouse data analysis. Think of national elections or high stock market trading days.

  • @MrSakharam
    @MrSakharam Год назад +1

    Could you please Oracle to the comparison?

    • @markjackson6134
      @markjackson6134 Год назад

      I'm new to the environment and even I agree:)

  • @saphetiger
    @saphetiger Год назад

    Irritating that you have to get almost 5min before the subject of the video STARTS to be addressed.