Rancher might be a bit more popular than Databricks. We know about 24 links to it since March 2021 and only 17 links to Databricks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 1 year ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
I don't know in which extend you plan to use Kubernetes in the future, but if it is aimed to become several huge production clusters, you should looks into Apps like Rancher: https://rancher.com. Source: over 1 year ago
But I think once you have a good understanding of K8S internal (components, how thing work underlying, etc.), you can use some tool to help you provision / maintain k8s cluster easier (look for https://rancher.com/ and alternatives). Source: almost 2 years ago
A few years, I would have said no. Now, I'm cautiously optimistic about it. Personally, I think that you can use something like Rancher (https://rancher.com/) or Portainer (https://www.portainer.io/) for easier management and/or dashboard functionality, to make the learning curve a bit more approachable. For example, you can create a deployment through the UI by following a wizard that also offers you... - Source: Hacker News / almost 2 years ago
Alternatively, it is also possible to use a multi-cloud or hybrid-cloud approach, which combines several cloud providers or even public and private clouds. Special tools such as Rancher and OpenShift can be very useful to run this type of system. - Source: dev.to / almost 2 years ago
Rancher provides a Rancher authentication proxy that allows user authentication from a central location. With this proxy, you can set the credential for authenticating users that want to access your Kubernetes clusters. You can create, view, update, or delete users through Rancher’s UI and API. - Source: dev.to / almost 2 years ago
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