Guy, 

It’s been a while since I have used MS SQL, but one of the things the resonated 
the most from that article was about the GUI nature of it: It really does seem 
that the only way to work with it is to use a graphical remote connection to a 
Windows Server and point and click your way through. That made it really hard 
to check setting or compare them between servers. A plain config file is so 
much simpler. Anyway...

I’m looking forward to seeing your next presentation. 

-- 
Ylan Segal
[email protected]

> On Nov 21, 2014, at 12:17 AM, Guyren Howe <[email protected]> wrote:
> 
> I’ve not worked with it nearly as much as MySQL or Postgres. But seems I can 
> now be almost as harsh about MS SQL Server as I have been about MySQL:
> 
> <http://www.pg-versus-ms.com/>
> 
> That just leaves Oracle. I *have* worked a goodly amount with Oracle. Oracle 
> is significantly better than SQL Server and MySQL. And I can even imagine 
> situations where I would choose Oracle over Postgres. Were I to describe such 
> a situation, I would begin with something like “well, I suppose if I was 
> working for a bank…”.
> 
> For everyone else, Postgres is clearly, I will even say outrageously, 
> obviously, and dramatically, the best database available today.
> 
> On related news, I’m currently working on some tests of Postgres’ special 
> indexes for the next meeting. The GIN index has just received a dramatic 
> improvement in Postgres 9.4 (both smaller and faster). I’m planning on 
> presenting results giving an indication about when you might want to use GIN 
> or GIST indexes. For those who saw my last presentation about indexes, 
> compound GIN and GIST indexes let the database use any of the columns in the 
> index for a search. They are rather more complex than BTree for the database 
> to maintain, so this involves a tradeoff between insert and query time that 
> ought to be explored in more depth.
> 
> I’m planning on running some benchmarks that will give us at least a rough 
> idea of how GIN and GIST indexes compare for insert and query time against 
> BTree indexes. If you use Postgres, you should come hear what I find out.
> 

-- 
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