
The Tough Climb To Profitability For MongoDB
There is something weird about storage companies that were started around the same time as the Great Recession. …
There is something weird about storage companies that were started around the same time as the Great Recession. …
Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, in databases from multiple vendors, in disparate formats, and for new workloads like artificial intelligence. …
The top hyperscalers and clouds are rich enough to build out infrastructure on a global scale and create just about any kind of platform they feel like. …
A decade and a half ago, when Dennard scaling ran out of gas and many of us were starting to first think about what the end of Moore’s Law might look like should that day ever come, a bunch of us were kicking around what it might mean. …
A decade ago, Fangjin “FJ” Yang was a software architect at startup Metamarkets, a company that was building a user-facing analytics engine that a lot of developers simultaneously could go to, click on a UI, and very quickly get answers to their questions. …
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. …
All Content Copyright The Next Platform