Based on our record, Kubernetes seems to be a lot more popular than Databricks. While we know about 287 links to Kubernetes, we've tracked only 17 mentions of 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 / almost 2 years 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 / about 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
Kubernetes, an open-source platform for automating the deployment, scaling, and operation of application containers, has become a fundamental tool for modern software development. Here are some of the top Kubernetes commands every developer should know, along with comments explaining their usage:. - Source: dev.to / 9 days ago
Orchestration with Kubernetes is simple to set up, but there are some challenges to managing resource usage in a cost effective way. - Source: dev.to / 10 days ago
Kubernetes: a powerful container orchestration platform, ensuring high availability, scalability, and efficient resource utilization;. - Source: dev.to / 11 days ago
I’m joking of course. I’m not really sure about what a faded keyboard says about its owner. What I do know for sure is how important kubectl is to anybody who wants to be a proficient Kubernetes administrator. - Source: dev.to / about 1 month ago
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy. - Source: dev.to / about 1 month ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Rancher - Open Source Platform for Running a Private Container Service
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Helm.sh - The Kubernetes Package Manager