Cloud Storage Cost Comparison

Introduction

In today's data-driven world, efficient and cost-effective cloud storage is crucial for businesses of all sizes. This page provides a detailed comparison of cloud storage costs per terabyte per month across major providers like AWS, Azure, Google Cloud Platform (GCP), Snowflake, Amazon Redshift, and SAP HANA. Understanding these costs helps in making informed decisions about where to store your data. Additionally, we emphasize the importance of regular storage clean-up to avoid unnecessary expenses. By managing and cleaning up storage periodically, significant savings can be achieved, ensuring that you only pay for what you truly need.

1TB Storage Cost per Month

AWS (Amazon Web Services)

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Azure

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Google Cloud Platform (GCP)

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Snowflake

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Amazon Redshift

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SAP HANA

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Storage Costs per TB per Month

Provider Storage Type Cost (USD/TB/Month)
AWS (Amazon Web Services) S3 Standard Storage $23
AWS (Amazon Web Services) S3 Infrequent Access $12.50
AWS (Amazon Web Services) S3 Glacier $4
AWS (Amazon Web Services) S3 Glacier Deep Archive $1
Azure Hot Blob Storage $18.40
Azure Cool Blob Storage $10
Azure Archive Blob Storage $1.20
Google Cloud Platform (GCP) Standard Storage $20
Google Cloud Platform (GCP) Nearline Storage $10
Google Cloud Platform (GCP) Coldline Storage $7
Google Cloud Platform (GCP) Archive Storage $1.23
Snowflake Storage Cost $25-40
Amazon Redshift Redshift Managed Storage $23
Amazon Redshift Redshift Spectrum $5
SAP HANA SAP HANA Cloud Storage $450-600

Data Fetching and Processing

Fetching data for processing from different cloud storage providers is generally straightforward due to robust APIs and integration tools. Here’s a brief overview:

  • AWS: AWS provides a range of tools like AWS Data Pipeline, AWS Glue, and S3 Select for efficient data fetching and processing.
  • Azure: Azure Data Factory and Azure Synapse Analytics offer comprehensive data integration and processing capabilities.
  • Google Cloud: GCP offers tools like Google Cloud Dataflow and BigQuery for data processing and integration.
  • Snowflake: Snowflake's data integration capabilities support seamless data loading and processing, leveraging its scalable architecture.
  • Amazon Redshift: Redshift provides powerful data warehousing and analytics capabilities, and integrates with S3 and other AWS services for efficient data processing.
  • SAP HANA: SAP HANA integrates well with various data sources and offers robust data processing capabilities with real-time analytics.