Google launches Chromium project, Terracotta acquires Quartz. And more.

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For the latest on Oracle’s acquisition of MySQL via Sun, see Everything you always wanted to know about MySQL but were afraid to ask

# Google launched the Chromium OS open source project, a prelude to the Chrome OS, while Canonical confirmed that it is contributing to the development of Chrome OS.

# Terracotta …

Raja Srinivasan from Zeus will presenting how to load balance MySQL reads and writes on the Joyent Public Cloud tomorrow in a free webinar taking place at 10 AM Pacific (America). Register here.

Hi,

Support for S3 BLOB storage has now been fully integrated into the PBMS engine. It works in much the same way that I mentioned in an earlier post but with some important changes so I will explain it all again here.

When using S3 BLOB storage with PBMS the BLOB reference tracking and metadata is handled the same as before in that they are stored in the BLOB record in the repository, but the actual BLOB is stored on an S3 server.

To setup S3 storage you need to add an S3 cloud reference record to the pbms.pbms_cloud table provided by PBMS. For example:

INSERT INTO pbms.pbms_cloud(ID, Server, bucket, PublicKey, PrivateKey) VALUES(16, "S3.amazonaws.com", "PBMS-Test", "abc123", "amjr15vWq");

Then you need to tell PBMS which database should use S3 cloud storage for its BLOBs. This is done by updating a couple of records in the pbms_variable table that PBMS provides for each …

Amazon’s SimpleDB isn’t a relational database, but it does provide elastic scalability and high-availability. Amazon’s recently announced Relational Database Services (RDS) is a relational database, but it doesn’t provide elastic scalability or high-availability. If you are deploying enterprise applications on the cloud (including Amazon Web Services), you might want to look at ScaleDB because it is a relational database and it does provide elastic scalability and high-availability.

Amazon describes SimpleDB by comparing it to a clustered database:

"A traditional, clustered relational database requires a sizable upfront capital outlay, is complex to design, and often requires extensive and repetitive database administration. Amazon SimpleDB is dramatically simpler, requiring no schema, automatically indexing your data and providing a simple API for storage and access. This approach eliminates the administrative burden of …

Amazon’s SimpleDB isn’t a relational database, but it does provide elastic scalability and high-availability. Amazon’s recently announced Relational Database Services (RDS) is a relational database, but it doesn’t provide elastic scalability or high-availability. If you are deploying enterprise applications on the cloud (including Amazon Web Services), you might want to look at ScaleDB because it is a relational database and it does provide elastic scalability and high-availability.

Amazon describes SimpleDB by comparing it to a clustered database:

"A traditional, clustered relational database requires a sizable upfront capital outlay, is complex to design, and often requires extensive and repetitive database administration. Amazon SimpleDB is dramatically simpler, requiring no schema, automatically indexing your data and providing a simple API for storage and access. This approach eliminates the administrative burden of …

More interesting topics were discussed both during the scheduled sessions and in open gathering. During …

1. Brown Cloud Marketing -- advertorial "interviewing" GM of a company offering "DNS in the cloud". This might be a worthwhile service, but the way he markets it (by saying open source is "freeware" and the market leader is "legacy") reveals a rich vein of bozo. Freeware legacy DNS is the internet's dirty little secret (actually, it's the reason we have a functioning DNS), Nominum software was written 100 percent from the ground up, and by having software with source code that is not open for everybody to look at, it is inherently more secure. (security through obscurity is equating clothing with being naked yet blind). The Internet kindly did the poor man's homework: screenshot of a cross-site scripting …

CodePlex, patents and Linux code. An interesting few days for Microsoft open source.

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CodePlex, CodePlex, CodePlex!
Microsoft launched the CodePlex Foundation to facilitate open source contributions, and confirmed the departure of Sam Ramji.

Patents, Patents, Patents!
The OIN confirmed the acquisition of 22 patents formerly owned by …

Cloud computing is disrupting many aspects of computing. One need only witness the manner in which online applications like Google Docs and Salesforce.com are disrupting entrenched competitors. Soon, cloud computing will significantly disrupt the database market, for the reasons explained below.

One of the most powerful arguments in technology is the price/performance ratio. Significant declines in price or significant increases in performance can result in disruption. When you get both price declines and performance increases, you get significant disruption. This is exactly what is coming to the database market.

The Past
Moore’s Law enabled the CPU to process data faster than the hard disk drive could get the data to the CPU. Because getting data to the CPU was the bottleneck, the database that solved that bottleneck would have a performance advantage.

The shared-disk database had two glaring …

Cloud computing is disrupting many aspects of computing. One need only witness the manner in which online applications like Google Docs and Salesforce.com are disrupting entrenched competitors. Soon, cloud computing will significantly disrupt the database market, for the reasons explained below.

One of the most powerful arguments in technology is the price/performance ratio. Significant declines in price or significant increases in performance can result in disruption. When you get both price declines and performance increases, you get significant disruption. This is exactly what is coming to the database market.

The Past
Moore’s Law enabled the CPU to process data faster than the hard disk drive could get the data to the CPU. Because getting data to the CPU was the bottleneck, the database that solved that bottleneck would have a performance advantage.

The shared-disk database had two glaring …