What are the underlying storage systems supported by the data orchestration platform?

The underlying storage systems supported by a data orchestration platform can vary, but typically include a variety of databases and data storage solutions. These can range from relational databases like MySQL, PostgreSQL, and Oracle, to NoSQL databases such as MongoDB, Cassandra, and Redis. Additionally, data orchestration platforms may integrate with cloud-based storage solutions like object storage (e.g., AWS S3-compatible services) and distributed file systems.

For example, a data orchestration platform might support:

• Relational databases for structured data storage and querying.
• NoSQL databases for handling unstructured or semi-structured data with flexible schemas.
• Cloud object storage for scalable and durable storage of large volumes of data.
• Distributed file systems for high-performance, scalable file storage.

In the context of cloud services, Tencent Cloud offers a comprehensive suite of storage solutions that can be integrated with data orchestration platforms. These include:

• Tencent Cloud COS (Cloud Object Storage), which provides highly scalable and durable object storage.
• Tencent Cloud TDSQL for MySQL, a managed relational database service.
• Tencent Cloud MongoDB, a managed NoSQL database service.
• Tencent Cloud CFS (Cloud File Storage), a distributed file system for applications.

These services can be leveraged by data orchestration platforms to manage and process data efficiently across various storage systems.