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Based on our record, Databricks should be more popular than Singularity Container. It has been mentiond 17 times since March 2021. 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.
I highly recommend checking out Singularity for your computational software. Running your software within containers allows you a lot of freedom, although it does create some complexity in regards to MPI based parallelization. Source: almost 2 years ago
Use a singularity image to contain what you want to deploy and give access on the jump host to the image. Permissions flow from existing OS permissions. https://sylabs.io/singularity/. Source: over 2 years ago
Singularity This is a HPC focused container system that has large industry support. You can use this to package finicky software that only runs on specific linux distributions or only allows for RPM/Deb installations. It is also another mechanism for users to bring their own software and it integrates fairly well with both Slurm and HTCondor. Source: over 2 years ago
> and it was then when they came up with a pretty cool name for their new OS — Singularity. Or, it was then when they (intentionally?) ripped off the name of an existing, open source, OS-related project. https://sylabs.io/singularity/. - Source: Hacker News / over 2 years ago
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
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
DockerSlim - DockerSlim (docker-slim): Don't change anything in your Docker container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source) - d...
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.
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.