Why does Google need another database, and why in particular does it need to introduce a version of PostgreSQL highly tuned for Google’s datacenter-scale disaggregated compute and storage? …
Database acceleration using specialized co-processors is nothing new. Just to give a few examples, data warehouses running on the Netezza platform, owned by IBM for more than a decade now, uses a custom and parallelized PostgreSQL database matched to FPGA acceleration for database and storage routines. …
It seems like a question a child would ask: “Why are things the way they are?” …
We talk about big money being spent on GPU-accelerated HPC and AI systems all the time here at The Next Platform, and we have been clear that we think another area where such acceleration will take off is with databases and related analytics, and particularly with data warehouses that have trillions of rows of data. …
Like other technologies, a lot of the databases in use in the world are born out of necessity because some other database hit a performance, capacity, or latency wall – or sometimes all three at the same time. …
Hardware accelerated databases are not new things. More than twenty years ago, Netezza was founded and created a hybrid hardware architecture that ran PostgreSQL on a big, wonking NUMA server running Linux and accelerated certain functions with adjunct accelerators that were themselves hybrid CPU-FPGA server blades that also stored the data. …
As the name of this publication suggests, we are system thinkers and we like to watch the evolution of a collection of tools into a platform. …
Since late February and early March, when the coronavirus outbreak began to spill out of China in earnest and spread its sickness and death across Europe, throughout the United States, and into other parts of the globe, IT companies have stepped up to lend their technologies to fight the pandemic. …
If you want inspiration for a hyperscale, resilient distributed block storage service, apparently a jellyfish is a good place to start looking for architectural features. …
IBM, through the work of Edgar Codd, invented the ideas behind the relational database back in 1970. …
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