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Azure Databricks 和 Azure Synapse Analytics 之间的明显区别

[英]Distinct difference between Azure Databricks and Azure Synapse Analytics

原文 2020-02-19 11:54:07 5 1 azure

Can someone explain the distinct difference between these two products in all major aspects?有人可以解释这两种产品在所有主要方面的明显区别吗？ As far as I am aware from reading the official documents, both could host database systems and provide data cleaning pipeline?据我阅读官方文档了解到，两者都可以托管数据库系统并提供数据清理管道吗？ Both are on cloud?两者都在云端？

1 个解决方案

Databricks:数据块：

Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Azure Databricks 是一个基于 Apache Spark 的分析平台，针对 Microsoft Azure 云服务平台进行了优化。 Designed with the founders of Apache Spark, Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. Databricks 由 Apache Spark 的创始人设计，与 Azure 集成以提供一键设置、简化的工作流和交互式工作区，支持数据科学家、数据工程师和业务分析师之间的协作。

Synapse Analytics:突触分析：

Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. Azure Synapse 是一种无限的分析服务，它将企业数据仓库和大数据分析结合在一起。 It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale.它让您可以根据自己的条件自由地查询数据，使用无服务器按需或预置资源——大规模。 Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs Azure Synapse 将这两个世界结合在一起，提供统一的体验来摄取、准备、管理和提供数据，以满足即时的 BI 和机器学习需求

they do overlap to some extent, but they are not the same thing.它们在某种程度上确实重叠，但它们不是一回事。 Databricks is pretty much managed Apache Spark, whereas Synapse Analytics is managed SQL Data Warehouse. Databricks 几乎是托管的 Apache Spark，而 Synapse Analytics 是托管的 SQL 数据仓库。