Games and virtual worlds

Analysis of how database and related technologies are used in games and virtual worlds. Related subjects include:

August 13, 2011

Couchbase business update

I decided I needed some Couchbase drilldown, on business and technology alike, so I had solid chats with both CEO Bob Wiederhold and Chief Architect Dustin Sallings. Pretty much everything I wrote at the time Membase and CouchOne merged to form Couchbase (the company) still holds up. But I have more detail now. 😉

Context for any comments on customer traction includes:

That said,

Membase sales are concentrated in five kinds of internet-centric companies, which in declining order are: Read more

July 27, 2011

MongoDB users and use cases

I spoke with Eliot Horowitz and Max Schierson of 10gen last month about MongoDB users and use cases. The biggest clusters they came up with weren’t much over 100 nodes, but clusters an order of magnitude bigger were under development. The 100 node one we talked the most about had 33 replica sets, each with about 100 gigabytes of data, so that’s in the 3-4 terabyte range total. In general, the largest MongoDB databases are 20-30 TB; I’d guess those really do use the bulk of available disk space.   Read more

July 14, 2011

An odd claim attributed to Mike Stonebraker

This post has a sequel.

Last week, Mike Stonebraker insulted MySQL and Facebook’s use of it, by implication advocating VoltDB instead. Kerfuffle ensued. To the extent Mike was saying that non-transparently sharded MySQL isn’t an ideal way to do things, he’s surely right. That still leaves a lot of options for massive short-request databases, however, including transparently sharded RDBMS, scale-out in-memory DBMS (whether or not VoltDB*), and various NoSQL options. If nothing else, Couchbase would seem superior to memcached/non-transparent MySQL if you were starting a project today.

*The big problem with VoltDB, last I checked, was its reliance on Java stored procedures to get work done.

Pleasantries continued in The Register, which got an amazing-sounding quote from Mike. If The Reg is to be believed — something I wouldn’t necessarily take for granted — Mike claimed that he (i.e. VoltDB) knows how to solve the distributed join performance problem.  Read more

June 20, 2011

Columnar DBMS vendor customer metrics

Last April, I asked some columnar DBMS vendors to share customer metrics. They answered, but it took until now to iron out a couple of details. Overall, the answers are pretty impressive.  Read more

June 8, 2010

The most important part of the “social graph” is neither social nor a graph

“Social graph” is a highly misleading term, and so is “social network analysis.” By this I mean:

There’s something akin to “social graphs” and “social network analysis” that is more or less worthy of all the current hype – but graphs and network analysis are only a minor part of the whole story.

In particular, the most important parts of the Facebook “social graph” are neither social nor a graph. Rather, what’s really important is an aggregate Profile of Revealed Preferences, of which person-to-person connections or other things best modeled by a graph play only a small part.

Read more

May 25, 2010

VoltDB finally launches

VoltDB is finally launching today. As is common for companies in sectors I write about, VoltDB — or just “Volt” — has discovered the virtues of embargoes that end 12:01 am. Let’s go straight to the technical highlights:

Read more

May 12, 2010

The Clustrix story

After my recent post, the Clustrix guys raised their hands and briefed me. Takeaways included:    Read more

April 29, 2010

Vertica update

Last month, Vertica’s CEO Ralph Breslauer quit,* and Vertica made it sound like there would be a new CEO late in April. And indeed, as of April 29, there was. He’s a guy I’ve never heard of before named Chris Lynch, apparently quite the sales machine builder. The most substance I’ve found is a pair of Mass High Tech articles — the latter exceedingly typo-ridden — to the general effect that:

Read more

April 8, 2010

Examples of machine-generated data

Not long ago I pointed out that much future Big Data growth will be in the area of machine-generated data, examples of which include: Read more

March 27, 2010

Quick news, links, comments, etc.

Some notes based on what I’ve been reading recently: Read more

← Previous PageNext Page →

Feed: DBMS (database management system), DW (data warehousing), BI (business intelligence), and analytics technology Subscribe to the Monash Research feed via RSS or email:


Search our blogs and white papers

Monash Research blogs

User consulting

Building a short list? Refining your strategic plan? We can help.

Vendor advisory

We tell vendors what's happening -- and, more important, what they should do about it.

Monash Research highlights

Learn about white papers, webcasts, and blog highlights, by RSS or email.