

To protect data from accidental deletion, Redshift takes automated incremental snapshots and tracks changes to the cluster. Either platform offers scalable services that require administrator attention.

Redshift offers 3 types of on-demand nodes with different performance levels at $0.24 to $13.04/hour. Both Redshift and Azure offer scalable functionalities and flexible pricing packages.Amazon Redshift: Pricing and Architecture But each of them has its unique features too and comparing them along key factors can help you make better decisions for your organization. Both offer facilities like columnar storage and MPP architecture. A Comparative Study Between Amazon Redshift and Azure SynapseĪmong the modern data warehouse platforms, Redshift and Synapse share a lot of similarities. It comes with centralized data management capabilities, HTAP implementation, Machine Learning Integration, and data sharing facilities.

Much like Redshift, Azure Synapse is also a data warehousing tool with four components: SQL Pool and SQL On-demand, Apache Spark, data integration, ETL and ELT pipelines, and Synapse Studio. It comes with automation capabilities, intelligent optimization, and additional security features. You can connect Redshift with SQL-based clients and BI tools to make business data available in real-time. It is also used for large scale data warehouse services and database migrations. Key Features of Amazon Redshift & Azure SynapseĪlso known as AWS Redshift, Amazon Redshift is a fully-managed data warehouse product used for grand-scale data storage and analysis. In this article, we will take a closer look at their features and compare them objectively to understand which of these two can add more value to your organization. Out of the popular warehousing choices, we have shortlisted two industry favorites: Azure Synapse and Amazon Redshift. There are multiple options to choose from and some data warehouses offer more than just storage. Cloud data warehouses play a pivotal role in storing organizational data from internal and external sources. If you are an advanced analytics-driven enterprise, you must be familiar with the concept of data warehousing. Alongside that, numerous related fields have also begun to spring up. And cloud technology is changing the global business landscape. Every organization is striving to become data-driven.
