Kx in the Public Cloud: Autoscaling using kdb+
16 Jul 2019
For most programmers, using the cloud is all about scale. You want to know how you can scale most efficiently, and how you can most economically use the resources you have. The latest version of kdb+ has a number of features that enable you to get the most out of kdb+ on the cloud.
2018 most read blogs: Python, Machine Learning, Cloud and kdb+ Performance
19 Dec 2018
In 2018 the most-read blogs on kx.com were about kdb+ and Python, machine learning, cloud and kdb+ performance benchmarks. The expansion of the use of kdb+ and Kx technologies in new industries like space research, transportation tech and precision manufacturing was also chronicled in 2018 blogs.
2018 benchmark wrap up: Why the recent kdb+ wins matter
18 Dec 2018
Kx set records in real-world financial tick data analytics tests performed by STAC this year. 2018 benchmarks showed: (1) GCP first ever cloud tests proved that kdb+ can perform as well as bare metal in the cloud in many cases, and (2) kdb+ delivers top performance on large scale complex analytics with Intel’s Optane.
Kx on the Google Cloud Platform
26 Jun 2018
At Kx25, the international kdb+ user conference held in New York City on May 18th, Kx announced that kdb+ is now available on the Google Cloud Launcher. Antonio Zurlo of Google Cloud Platform (GCP) gave a presentation about Google Cloud and described an example of how to use kdb+ on the GCP.
Migrating a kdb+ historical database to the Amazon Cloud
18 Apr 2018
If you are currently migrating, or considering migrating an historical kdb+ database (HDB) to the Cloud, you will want to read this white paper on the kdb+ developers’ site which looks at popular storage solutions available within the Amazon Web Services (AWS) Cloud. The paper also compares and contrasts the performance of kdb+ on EC2 instances versus physical hardware.
Kx Insights: SaaS for IIoT Predictive Maintenance in the Cloud
23 Jan 2018
Cloud computing is increasingly becoming critical to business, especially as digital technologies like IIoT become widespread. Gartner predicts that in the next year, the cloud-based Software as a Service (SaaS) market will grow 85%, five times faster than traditional software. For industrial companies who want to use the IIoT for predictive maintenance, cloud-based SaaS solutions offer tremendous opportunities that have the potential to disrupt the equipment maintenance world.