CData Sync vs. WSO2 Enterprise Integrator

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

The best-suited scenario is the service chain pattern or all patterns used in online mode. The less appropriate scenario is a batch service the duration time of the service is more than 10minutes because it is necessary to increase the HTTP timeout.

• 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

• Service chain pattern
• Message transformation
• Call more than one backend service
• Call service with different protocoll as the client use
• Use file as input
• Use mail as input

• 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

• View deploy artifact in date time order
• Easy way to map data
• Easy way to manage payload

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

We can start with the community version and then when we moved into production we can buy the supported version. The supported and community version have the same code so we can do every test before deciding to buy the supported version.

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

Incentivized

• Reduce development time to the service integration
• We can use junior developer
• Clustered in easy way