ScaleDB extends MySQL for high-velocity high-volume data, enabling near real-time analytics across massive streams of data. Like Hadoop, ScaleDB leverages a cluster of commodity machines with low-cost spinning disks for storage, mitigating the typical trade-offs between data fidelity and the volume of data and time analyzed. NoSQL and Hadoop are excellent choices for unstructured data, or data variety challenges. However, if your data is structured time-series data, and generated at high-velocity and high-volume, ScaleDB is the tool for you. On a nine-node cluster, ScaleDB inserts millions of rows per second and queries up to 1000 times faster, more than enough speed for today’s most demanding applications.

ResponsibilitiesLooking for C/C++ experience, ideally with experience with database server internals. You will design and implement a next generation database storage engine. You will have ownership for one or more modules of the …

I have just accepted a position with Lycos as Principle Software Engineer, which I'm very excited about and will write about in a later post on this blog.

More immediate is the need to find someone to replace me at Grazr. I want to find them a well-qualified person. Some of the requirements are:

5+ Years with:

* Perl, mod_perl development, Perl OO, DBI
* Developing web applications with MySQL
* SQL -- and this means more than 'select * from foo'
* MySQL Administration
* Knowledge of good schema design
* Apache
* Linux Administration

Other needs:

* Sphinx Search Engine
* Memcached
* Familiarity with Nagios
* Understand different MySQL storage engines
* Familiarity with MySQL UDFs (I have a few I wrote at Grazr that someone will have to figure out)
* Any other MySQL monitoring tools (Cacti, etc)
…