CData Sync vs. Huawei Cloud Data Ingestion Service

Evidently, CData Sync is an excellent middleware tool that is perfect for syncing data between systems. It is especially suitable and works well on SQL servers, DB2, MySQL, and Snowflake, and some of their brothering domains. However, it is a limitation in working with Sage 50 API. But if it is extracted with ODBC, it works well.

Incentivized

• Effortless use of no-code interfaces on data pipelining on.
• High demand numbers of sources and destinations.
• Works with even snowflake, with no error occurrence.
• It uses ETL - (Extract / Transfer / Load).
• It enhances data extraction and database support.

Incentivized

• Although efficient for SQL servers and MySQL, as well as Snowflake. It is not strong for other database engines, and an upgrade on this would do a lot.
• The installation process is manual as opposed to the cloud installation it should be.
• A feature of syncing auto increment ID key, that will help in existing data management.

Incentivized

Tableau is another similar software tool, unlike CData Sync, rather transforms data into actionable insights. While CData Sync works with automation, Tableau uses a drag box on its AVA, which in turn slows the work speed on the syncing of data. Over the years, I enjoyed the friendly and customizable option of CData Sync over Tableau's.

Incentivized

• Reserves resources by covering human power via its automated sync method.
• Saves time: on launching data collectively into a compatible domain.

Incentivized