Ravi Kiran

• Oct 25th, 2005

 

Here is the diff

Server jobs. These are available if you have installed DataStage Server. They run on the DataStage Server, connecting to other data sources as necessary.

Parallel jobs. These are only available if you have installed Enterprise Edition. These run on DataStage servers that are SMP, MPP, or cluster systems. They can also run on a separate z/OS (USS) machine if required.

vamsi

• Oct 25th, 2005

 

The Parallel jobs are also available if you have Datastage 6.0 PX, or Datastage 7.0 versions installed.

The Parallel jobs are especially usefule if you have large amounts of data to process.

Ramu G

• Nov 9th, 2005

 

Server jobs: These are compiled and run on DataStage Server

Parallel jobs: These are available only if you have Enterprise Edition installed. These are compiled and run on a DataStage Unix Server, and can be run in parallel on SMP, MPP, and cluster systems.

Sharanu Patil

• Feb 28th, 2006

 

Server jobs can be run on SMP,MPP machines.Here performance is low i.e speed is less

Parallel jobs can be run only on cluster machines .Here performance is high i.e speed is high

bakshtheking

 Profile Answers by bakshtheking 

• Jun 16th, 2008

 

--- Server generates DataStage BASIC, parallel generates Orchestrate shell script (osh) and C++, mainframe generates COBOL and JCL. --- In server and mainframe you tend to do most of the work in Transformer stage. In parallel you tend to use specific stage types for specific tasks (and the Transformer stage doesn't do lookups). There are many more stage types for parallel than server or mainframe, and parallel stages correspond to Orchestrate operators. --- Also there's the automatic partitioning and collection of data in the parallel environment, which would have to be managed manually (if at all) in the server environment.