Sql Server agent Jobs running

Hi All,
We have a scenario where we have to run 30 pkgs at same second. Each pkg is designed to fetch 60 lakh per day records and load it into Oracle/OLEDB destination.
For which we have created 30 SQL agent jobs for each pkg running every 5 mins 24/7. We want to test running with option(1) these 30 jobs on single sql server instance and option(2) 10 jobs each on 3 sql server instances. Can someone please help me out to understand
which would give me the better results.
a) The main advantage of multiple sql server instance scenario when compared with single sql server instance?
b) How much does the hardware configurations impact on the performance?
Thanks in Advance....

1. Exposed to race conditions means ?
2. What you mean distributing computing? Can't the SQL Server handle this much load ?
3. Yes, 60 lakh records per day.
4. Multiple Instances on the same machine. The jobs might scale up to 300 jobs.
So, please suggest whether multiple instances would help the approach in scaling up ? Or the Single instance can handle all the 300 jobs at same second?
Please advice which approach would be best and why?
Re #1: means it will step on each other
#2: is when you take a chunk of data and process each separately at the same time. SQL Server or not will use the resources available on the machine. And they are not elastic.
#3: So thanks @Vaibhav it is 600K records to process so per 5 min it is 300 records which not too many for even one SSIS package on a commodity server. Question though is how long is the record. And what needs to be done to "process", if it takes
longer than 5 min - boom you are trouble with your approach (#1 happens)
Lastly, how do you know it will scale?
To answer you need
1) Provide with technical specs of your prod machine
2) Do a proof of concept
3) Profile a load to see where improvements can be done because in ETL it is common to get more and more data as the time goes by. I also fail to understand how the concurrently running packages will understand what data not to process because another package
grabbed it.
Arthur
MyBlog
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