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Displaying posts with tag: Relational DB (reset)
Back from Hiatus - Summary Update 1

Here is a summary of the key discussions I have had over the last month.  Keep in mind, I’m no analyst.  This is largely opinion based on various conversations I have had with the relevant companies (for analyst insight see Curt Monash).

KickFireI think Kickfire has been doing it a little tough lately.  The difficulties in a startup launching a hardware appliance (and associated logistics) combined with being too focused on the MySQL customer base has impacted the growth of this interesting start up.  But they aren’t taking it lying down and have adjusted the strategy and have added a new appliance to the range.  Kickfire now seems to have a stronger focus on the enterprise

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DBMS Links of the Week

Image by plαdys via Flickr

The following is a list of interesting DBMS related links for the week:

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Is the RDBMS doomed (yada yada yada) ?

Image by Snooch2TheNooch via Flickr

I was speaking with Michael Stonebraker this morning.  I mentioned that lately many have been referencing comments he has made over the last couple of years.  And I also mentioned that many had interpreted them as he was implying the RDBMS is “doomed”.  Mike has been saying the same thing for years, but the current NoSQL movement seems to have picked up on this and highlighting one of the RDBMS's own pioneers is predicting its …

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Some Initial Thoughts on Oracle Exadata V2

Image via Wikipedia

There will be plenty of detailed coverage on Exadata V2 so I won’t attempt to replicate that.  However I do have a couple of initial thoughts which I would like to share.  For those who missed it, Oracle has just announced Exadata V2 (which is their pre-built “machine”).  Exadata V1 was built using HP equipment, Exadata V2 is using Sun.  The main addition to Exadata V2 seems to be an extra tier in the memory hierarchy, a flash cache.  Oracle is very quick to point out this is not flash disk, but it is flash memory, Sun’s FlashFire technology (flash disk or SSD’s was always going to be a transition technology, flash memory doesn’t have the …

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OLTP back into focus

I haven’t blogged in over a month now.  This is for a number of reasons.  Firstly I have been flat out with various activities.  This included a trip to VLDB in Lyon mid month.  Secondly, a lot of the companies I have spoken with this month aren’t ready to speak publically so hence no blog posts resulting from these sorts of discussions.

However there has been a wiff of a change in the air in terms of focus that is interesting and worth highlighting.  After years of lots of innovation around data analytics, OLTP is starting to make a comeback in terms of reclaiming some of the limelight.  Much more on this between now and the end of the year, but a couple things to watch:

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VectorWise


I was fortunate enough to speak with Marcin Zukowski earlier about VectorWise.  If you missed it, VectorWise came out of stealth mode a day or two ago.  The have announced a joint partnership with Ingres and essentially are claiming impressive analytic RDBMS performance gains on conventional hardware.

To start with, a key message that I think needs to be communicated here is that this is not a product announcement.  Ingres and VectorWise have announced a partnership in which they of course plan to build products together, today those products are still in the works.

VectorWise is a spin out of CWI based on research that was undertaken by Marcin and others, research …

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Maria Update

Image by Sebastian Bergmann via Flickr

I had a quick chat with Michael Widenius today.  He is on vacation so tried to keep the call short.  Essentially spoke about two topics, Oracle & an update on Maria.

The Monty Program has 15 staff now.  Their focus is getting the MariaDB branch of MySQL ready for release, I understand they have a target of next month (August) for this release.  The Maria storage engine has been delayed for the time being with the focus being on the branch release instead.  PBXT and XtraDB will …

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The NoSQL community needs to engage the DBA’s

The NoSQL movement has been gaining some steam lately, with discussion forums and mailing lists popping up all around the web.  Despite having a career that has been centered on the RDBMS, I have made no secret that I think we have gone too far down with our RDBMS for everything mindset.  I think we need to add a few more tools back into our data toolbox. 

Today, 99.5% of new data centric developments started will use a RDBMS by default.  Maybe .5 of a % will consider using something as obtuse as a NoSQL platform.  By experience I know the majority of people discussing NoSQL platforms today are web developers.  In fact there is almost a sense of trying to trying to keep this under the radar of DBAs.  If we don’t talk to the DBAs about this stuff then they won’t bother us with all that …

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HamsterDB

This post was a bit of a test to see if I could write a serious post about a database platform called Hamster.  I think I just made it :)

With all the noise over key/value stores recently, we should keep in mind that this technology isn’t exactly new.  It is being applied to new problems, but many of the foundations have been around for decades.  Probably the oldest of them all, Berkley DB came into existence during the mid ‘80’s and now has over 200 million deployments (according to the Oracle web site).

HamsterDB, while not having the same pedigree of Berkley, has been steadily worked on by Christoph Rupp for the last 5 years.  I spoke to Christoph yesterday about his release of a new edition of …

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HadoopDB discussion with Daniel Abadi


I spoke to Daniel Abadi this morning about his HadoopDB announcement that came out a couple of days back.  I am sure this has been a busy time for Daniel and his team over in Yale as HadoopDB has been getting a lot of interest which I am sure will continue to build.

Some notes from our discussion:

  • HadoopDB is primarily focused on high scalability and the required availability at scale.  Daniel questions current MPP’s ability to truly scale past 100 nodes whereas Hadoop has real examples on 3000+ nodes.
  • HadoopDB like many MPP analytical database platforms uses shared nothing relational database as processing units. HadoopDB uses Postgres.  Unlike other MPP databases, HadoopDB uses Hadoop as the …
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