organizations started moving towards data-driven business decisions as a part of digital transformation. To build a data-driven culture, data mobilization is vital to retrieve actionable insights. As data proliferates, there is a need to build an Enterprise Data Warehouse or Data Lake to do analytics on top of it. To create a single source of truth for enterprise data, businesses tend to focus more on storing and managing data on a robust platform that can scale as the volume of data grows.Amazon AWS, Microsoft Azure, Google Cloud Platform and Snowflake Data Cloud offer Data warehouse as a service(DWaaS).Purpose of this blog
In this article, we will discuss the significant criteria that needs to be evaluated before setting up the Enterprise Data Warehouse in Cloud with respect to Azure Synapse and Snowflake Data Cloud, and how well both the Warehouses integrate with Azure Cloud Platform.
Primary Focus of this blog
This article only covers the qualitative measures between both the Data Warehouses across different categories that are relevant to build Enterprise Data Warehouse — Usability, Security, Integration, Monitoring, Scalability, Cluster Management, Data Management/Modelling, Cost, Data Governance, Continuous Integration & Continuous Delivery, Backup/Data Archival & Retention.
What will be skipped
Query Performance between both the warehouses are not compared in this article. This doesn’t cover any quantitative measures between Synapse and Snowflake.
Many thanks to Arunkumar Ponnurangam for helping out in evaluating both the Cloud Data Warehouses in various aspects.All the information in this blog is relevant at the time of publishing(Feb 2021). As both warehouses release new features and frequently enhance existing features, some of the listed details may differ in the future.
Both warehouses are fully managed services that can take the burden of infrastructure management from the customer’s shoulders and let them focus on the data. While each of these solutions is designed to handle the massive volume of data and support heavy workloads for analytical processing, there are some differences and similarities in their approaches.Before discussing those criteria, just a one-liner about both the cloud platforms.Azure Synapse Analytics Workspace
Azure Synapse(formerly called SQL DW) provides a unified data platform to develop an end-to-end data pipeline. Synapse Analytics is a fully-managed service to build modern data warehouses for enterprises. Synapse Analytics brings together SQL, Apache Spark, Data Ingestion/Orchestration(Azure Data Factory), and Visualization(Power BI) into a single workspace, dramatically reducing the time to build an analytics solution.Snowflake Data CloudOne platform with a revolutionary Architecture for near-unlimited data opportunities. Snowflake’s unique architecture logically separates but natively integrates storage, computing, and services. Snowflake is designed solely for the cloud and can be hosted on any three cloud platforms(AWS, Azure, GCP) as of today.
#azure #microsoft azure synapse analytics workspace #snowflake data cloud
