Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Microsoft Azure Overview. According to Forbes, 63% of enterprises are currently running apps on Azure. What Are the Advantages of Azure Cloud? Amazon Web Services (AWS) Overview.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. List of the Content.

Azure 52

Azure AWS Cloud How To 52

ParkMyCloud

MARCH 13, 2020

For example, for relational and NoSQL databases, data warehousing, Big Data processing, and/or backup and recovery. Amazon Simple Storage Service (S3) – general purpose object store for user-generated content, active archive, serverless, etc. Use cases: Streaming workloads, big data, data warehouses, log processing.

AWS 57

AWS Storage Comparison Serverless 57

Altexsoft

JANUARY 14, 2021

Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. What is a data warehouse? The 3rd generation data warehouses add more computing choices to MPP and offer different pricing models. Data loading. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

APRIL 26, 2022

The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis. Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Modern data pipeline with Snowflake technology as its part. Well, almost serverless, to be exact.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

SEPTEMBER 21, 2023

You can stream logs, metrics, and other data from your apps, endpoints, and infrastructure, whether cloud-based, on-premises, or a mix of both. With native integrations for major cloud platforms like AWS, Azure, and Google Cloud, sending data to Elastic Cloud is straightforward.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64