What is the difference between Bigquery and Cloud SQL
BigQuery and Cloud SQL are two distinct services offered by Google Cloud Platform (GCP) for data storage and management. While both services are designed to handle data, they have different purposes, functionalities, and use cases. Understanding the differences between BigQuery and Cloud SQL is important for choosing the appropriate service based on specific requirements. BigQuery
What is the difference between cloud SQL and cloud spanner
Cloud SQL and Cloud Spanner are two popular database services offered by Google Cloud Platform (GCP) that cater to different use cases and have distinct characteristics. Cloud SQL is a fully managed relational database service that allows users to run MySQL, PostgreSQL, and SQL Server databases in the cloud. It offers a familiar SQL interface
What is GCP App Engine?
App Engine is a fully managed serverless platform provided by Google Cloud Platform (GCP) that allows developers to build and deploy applications without worrying about the underlying infrastructure. It offers a scalable and flexible environment for running web applications and services, providing automatic scaling, high availability, and easy integration with other GCP services. At its
What is the difference between cloud run and GKE
Cloud Run and GKE are two distinct offerings provided by Google Cloud Platform (GCP) that cater to different needs and use cases in the field of cloud computing. Cloud Run is a serverless compute platform, while GKE (Google Kubernetes Engine) is a managed Kubernetes service. In this explanation, we will consider the differences between these
What is the difference between AutoML and Vertex AI?
AutoML and Vertex AI are two machine learning services offered by Google Cloud Platform (GCP) that aim to simplify the process of building and deploying machine learning models. While both services share the goal of enabling users to leverage machine learning capabilities without extensive expertise, there are several key differences between AutoML and Vertex AI.
What is containerized application?
A containerized application, in the context of Cloud Computing and specifically in relation to Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), refers to the practice of packaging an application and its dependencies into a self-contained unit called a container. This containerization approach enables the application to run consistently and reliably across different computing
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Google Kubernetes Engine GKE
What is the difference between Dataflow and BigQuery?
Dataflow and BigQuery are both powerful tools offered by Google Cloud Platform (GCP) for data analysis, but they serve different purposes and have distinct features. Understanding the differences between these services is important for organizations to choose the right tool for their analytic needs. Dataflow is a managed service provided by GCP for executing parallel
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Dataflow
How to configure a cloud shell?
To configure a Cloud Shell in the Google Cloud Platform (GCP), you need to follow a few steps. Cloud Shell is a web-based, interactive shell environment that provides access to a virtual machine (VM) with pre-installed tools and libraries. It allows you to manage your GCP resources and perform various tasks without the need for
How to differentiate Google Cloud Console and Google Cloud Platform?
The Google Cloud Console and the Google Cloud Platform are two distinct components within the broader ecosystem of Google Cloud services. While they are closely related, it is important to understand the differences between them to effectively navigate and utilize the Google Cloud environment. The Google Cloud Console, also known as the GCP Console, is
What is Cloud AutoML?
Cloud AutoML is a powerful tool offered by Google Cloud Platform (GCP) that enables users to build custom machine learning models without extensive knowledge of machine learning or coding expertise. It simplifies the process of creating, training, and deploying machine learning models by automating various tasks. At its core, AutoML is designed to democratize machine
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP overview, GCP Machine Learning overview