Here’s the difference between Azure Synapse Analytics and Oracle. 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).
Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates all the complexities of operating a data warehouse, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, and backing up of the data warehouse. It includes tools for self-service data loading, data transformations, business models, automatic insights, and built-in converged database capabilities that enable simpler queries across multiple data types and machine learning analysis. It’s available in both the Oracle public cloud and customers' data centers with Oracle Cloud@Customer.
Overview | ||
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Categories | Data Warehouses | Data Warehouses |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Free trial |
Location | US | Texas, US |
Companies using it | ||
Contact info |