Sharing artifacts with heterogeneous database connectivity

A computer-implemented method for a system to share artifacts with heterogeneous database connectivity, comprising:

• determining, by a computer processor of an abstraction engine, a data manipulation definition generated by a creator platform to accesses a database via a first connection protocol;
• automatically analyzing, by the computer processor, the data manipulation definition to discover a connectivity parameter associated with the access to the database via the first connection protocol;
• storing the data manipulation definition along with the connectivity parameter as a meta-connection into a metadata repository;
• retrieving, by a consuming platform, the meta-connection from the metadata repository;
• and
• translating, by the consuming platform, the meta-connection into the database manipulation definition to accesses the database via a second connection protocol,
• wherein the system is associated with:
• (i) an automated analytics kernel, (ii) an automated analytics server, and (iii) a predictive factory.

A non-transitory, computer-readable medium storing program code, the program code executable by a computer processor to cause the processor to perform a method for a system to share artifacts with heterogeneous database connectivity, the method comprising:

• determining a data manipulation definition generated by a creator platform to accesses a database via Open Database Connectivity (“ODBC”);
• automatically analyzing the data manipulation definition to discover a Database Management System (“DBMS”) type, a DBMS host name, and a port associated with the access to the database via ODBC;
• storing the data manipulation definition along with the DBMS type, the DBMS host name, and the port as a meta-connection into a metadata repository,
• wherein a consuming platform is to retrieve the meta-connection from the metadata repository and translate the meta-connection into the database manipulation definition to accesses the database via a connection protocol other than ODBC, and
• wherein the system is associated with:
• (i) an automated analytics kernel, (ii) an automated analytics server, and (iii) a predictive factory.