Based on our record, Graphviz should be more popular than Databricks. It has been mentiond 80 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.
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
Conventions exist but they're mostly crap. Along the KISS principle, boxed elements with connecting nodes are the best (most universally understood). In mathematical terms, this is an 'undirected graph', a 'directed graph' is the same but with directionality on the links between nodes. The standard toolkit for defining these in software is https://graphviz.org/ If you need to show the interaction between elements... - Source: Hacker News / 6 days ago
Thoughtful post, thanks. However, this tripped me up: "our GPU graph viz server" -- I couldn't understand how you a) scale graphviz[1] on a GPU and b) make money hosting graphviz. Quick read of your web site cleared that up :) [1] https://graphviz.org/. - Source: Hacker News / 4 months ago
Tracing flows: breakdown complex UDP/TCP ECMP traces into individual flows (i.e. Common network path); render a chart of flows in GraphViz DOT format (example). Source: 5 months ago
It has the look of graphviz about it, which is an excellent tool. Often helpful in debugging anything related to graphs. https://graphviz.org/. - Source: Hacker News / 8 months ago
If you are talking about making visualisations for other people it would depend if you want to make them interactive, static, or a mix of the two. I’m not really sure what to recommend given I don’t know - but here are a few places to start: - Python tutor - manim - processing - graphviz - simple but good - draw.io. Source: 12 months ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.
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.
draw.io - Online diagramming application
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.
yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.