Huawei Cloud Data Migration vs. MSSQL-to-PostgreSQL vs. Oracle Database@AWS vs. WinSQL Comparison Chart

On-premises and cloud-based data migrations among nearly 20 types of data sources are supported. The distributed computing framework ensures high-performance data migration and optimal data writing of specific data sources. The wizard-based development interface frees you from complex programming and helps you quickly develop migration tasks. You only pay for what you use and do not need to build dedicated hardware and software. Big data cloud services can replace or back up on-premises big data platforms and support full migration of massive amounts of data. Support for relational databases, big data, files, NoSQL, and many other data sources ensures a wide application scope. Wizard-based task management provides out-of-the-box usability. Data is migrated between services on HUAWEI CLOUD, achieving data mobility.

Oracle Database@AWS enables customers to migrate Oracle Databases, including Oracle Exadata workloads, to Oracle Exadata Database Service on Dedicated Infrastructure or Oracle Autonomous Database on Dedicated Exadata Infrastructure within AWS. This migration requires minimal to no database or application changes while maintaining full feature and architecture compatibility, performance, and availability. Customers can establish low-latency connections between Oracle Database@AWS and applications deployed in AWS, including on Amazon Elastic Compute Cloud (Amazon EC2). Oracle Database@AWS integrates directly with AWS Analytics services through zero-ETL to unify data across Oracle and AWS, enabling analytics and machine learning. Further, integration with AWS generative AI services is supported to accelerate innovation. It offers a unified experience for collaborative purchasing, management, operations, and support.