Classification: Public

Hi.  I'm not allowed to make technology recommendations, and so I'm not going 
to recommend any particular database here.

However, historically many database vendors have been uncomfortable with people 
publishing benchmark comparisons, because the actual performance of a database 
often depends on exactly how you use it.  Sometimes you may be hitting the 
sweet spot of a particular database, sometimes you may not be, and the database 
that is faster for you might not be the database that is faster for someone 
else.

There are also different ways to measure "faster":
* faster to store data
* faster to query data
* faster to develop/test/debug applications (i.e. "faster to market").

All of those can be important, but in different cases a different one may be 
the most important.  So, if you can define which area of database performance 
or use is the most critical one to be "faster" for your use case, it might be 
easier for you to make a clear statement about how your short-listed databases 
compare to each other for your own needs.

Cheers, Tony.

-----Original Message-----
From: [email protected] 
[mailto:[email protected]] On Behalf Of Sebastien Vige
Sent: 18 May 2016 16:14
To: [email protected]
Subject: [MarkLogic Dev General] Banking - ml vs ms sql (or oracle) | 
performance story

Team,
We are battling with a dev team. We need to show them ML is faster than MSSQL.

In which user story (banking or other) can we reference / present a factual 
performance gain ?

This will help us to convince our prospect.

Our use cases are CRM web app fueled by ML as well as a mini tradestore.

Any input welcome !

Tx

Seb


Kind Regards

Sebastien

Envoyé de mon iPhone
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