Here’s the difference between Azure Synapse Analytics and Databricks. The comparison is based on pricing, deployment, business model, and other important factors.
Azure Synapse Analytics is an evolution of Azure SQL Data Warehouse. Azure SQL Data Warehouse was a massively parallel processing (MPP) cloud-based, scale-out, relational database, designed to process and store large volumes of data within the Microsoft Azure cloud platform. At its core, Azure Synapse contains the MPP, scale-out technology of Azure SQL Data Warehouse (referred to as Synapse SQL pool).
Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.
Overview | ||
---|---|---|
Categories | Data Warehouses | Data Warehouses, Data Lakes |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium, Contact Sales |
Location | US | San Francisco, US |
Companies using it | ||
Contact info |