March 19th, 2013 — Data management
On Tuesday March 26th at 10am PT I’ll be taking part in a webinar with NuoDB on the subject of The New Path to Performance. No Sharding!
As part of the webinar I’ll be explaining the various strategies used by enterprises to attempt to achieve scalability of relational databases, why they fail to meet modern distributed processing requirements, and why companies are increasingly open to looking at alternatives to the traditional relational database.
Wiqar Chaudry from NuoDB will also be discussing how to eliminate technical acrobatics, including:
Sharding
Clustering
Performance tuning
Replication
And other kinds of 20th century database tricks.
To register, click http://go.nuodb.com/no-sharding-webinar-register-s.html
January 16th, 2013 — Data management
Funding for Ayasdi and Zettaset. NuoDB launches cloud database. And more
And that’s the Data Day, today.
January 15th, 2013 — Data management
As 2012 came to a close I tweeted
NuoDB has today kicked off that debate with the launch of its Cloud Data Management System and 12 rules for a 21st century cloud database.
NuoDB’s 12 rules appear pretty sound to me – in fact you could argue they are somewhat obvious. This is actually to NuoDB’s credit in my opinion, in that they haven’t simply listed 12 differentiating aspects of their product, but 12 broader requirements.
Either way, I believe that this is the right time to be debating what constitutes a “cloud database”. Database on the cloud are nothing new, but these are existing relational database products configured to run on the cloud.
In other words, they are databases on the cloud, not databases of the cloud. There is a significant difference between spinning up a relational database in a VMI on the cloud versus deploying a database designed to take advantage of, enable, and be part of, the cloud.
To me, a true cloud database would be one designed to take advantage of and enable elastic, distributed architecture. NuoDB is one of those, but it won’t be the only one. Many NoSQL databases could also make a claim, albeit not for SQL and ACID workloads.
This isn’t a matter of SQL versus NoSQL, however. We’ve seen companies building their own next-generation database platforms deploying NoSQL and SQL technologies alongside each other for different workload and consistency requirements. Where the SQL layer falls down is the inability of existing relational databases to support elastic, geographically distributed cloud environments.
NuoDB believes it has a solution to that. So too do others including GenieDB, Translattice and VMware. Meanwhile Google’s F1 and Spanner projects have legitimized the concept of the globally-distributed SQL database.
Either way, the era of the relational cloud database – rather than the relational database on the cloud – has begun.
January 10th, 2013 — Data management
SAP on HANA. Funding for Guavus and ScaleArc. And more
And that’s the Data Day, today.
November 14th, 2012 — Data management
Funding for Continuuity and 10gen. Wibi Data launches the Kiji. And more.
And that’s the Data Day, today.
September 24th, 2012 — Data management
Alpine Data bags EMC. Infobright delivers appliance. And more.
And that’s the Data Day, today.
April 2nd, 2012 — Data management
January 24th, 2012 — Data management
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