Joplin VS Databricks
Compare Joplin VS Databricks and see what are their differences
Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
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Joplin
Standard Notes
OneNote
Obsidian.md
Evernote
Google Keep
Notion
Simplenote
Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Informatica
Rakam
Concurrent
Joplin DatabricksBased on our record, Joplin seems to be a lot more popular than Databricks. While we know about 350 links to Joplin, 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.
I've had great success with using Joplin for this, with Syncthing as a sync backend. Works well across OSes; I use it on Linux, macOS, Windows and Android. https://joplinapp.org/. - Source: Hacker News / 3 months ago
I use https://joplinapp.org because it allows for pasting images and files. Has easy sync and also mobile and desktop apps. Free and open source. - Source: Hacker News / 3 months ago
Joplin, an open source, extendable, Markdown-based hierarchical note-taking app: https://joplinapp.org/ It lets you choose a synchronization backend, offers applications for every major desktop and mobile OS (also has a terminal version). You can create notebooks and subnotebooks to organize your notes. You can also add tags for better search experience. I created notebooks for specific domains (work-related, home... - Source: Hacker News / 5 months ago
I'm not certain, but I believe that Joplin will serve your needs. Source: 6 months ago
Joplin (free, but sponsored) in combination with a Storagebox at Hetzner. Joplin allows us to share notes, shopping lists, to do lists, etc via Webdav between our various devices (mobile phones, laptops, desktops). https://joplinapp.org and https://www.hetzner.com/de/storage/storage-box. - Source: Hacker News / 8 months 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
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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.
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