I hope this is the right place to ask my question.
Can Knime Cloud Analytics Platform on Azure scale out by using the resources of more than one VM in order to run CPU- or RAM-intensive workflows ? Or there is another way to do this ?
Thank you in advance..
On Azure you can scale up to 32 cores and 448Gb RAM (see the G5 series). In case you want to scale out then the solution is most likely going to involve Hadoop/Spark. See the KNIME Big Data Extensions (note that a 30-day trial is available: https://www.knime.org/knime-spark-executor)