PrivateBin
Pastebin.com
GitHub Gist
hastebin
JustPaste.it
shelf.gg
Write.as
Rentry.co
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
PrivateBin
DatabricksPrivateBin is recommended for individuals and organizations who need to share sensitive data or information privately. This includes journalists, activists, developers, or anyone working in environments where data confidentiality is critical. It's also useful for anyone who values privacy and wants to ensure that shared information does not get accessed by unauthorized parties.
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Based on our record, PrivateBin should be more popular than Databricks. It has been mentiond 34 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.
Just implemented e2e encryption for plan, annotation, and diff sharing of coding agents (share with your colleagues, etc), modeled after https://privatebin.info/ https://github.com/backnotprop/plannotator/pull/203. - Source: Hacker News / 4 months ago
Is this basically https://privatebin.info/. - Source: Hacker News / over 1 year ago
If your like me. Find an actual use case for it and go from there. Easier to line when there is an end goal/project at the end of completion. Check out privatebin, sets up a secureway to share information. Https://privatebin.info/ Should hopefully be able to get your toes wet. Source: over 2 years ago
You're welcome! I'd recommend PrivateBin if you're looking for a pastebin service to use. Source: about 3 years ago
One of the things that always bugged me about image hosting services is that they're almost never open source. This very unlike Pastebin services where you have Microbin and PrivateBin. A lot of popular pastebin services either use PrivateBin or Rentry under the hood. Source: about 3 years ago
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโs 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 3 years 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 4 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 4 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 4 years ago
Pastebin.com - Pastebin.com is a website where you can store text for a certain period of time.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
GitHub Gist - Gist is a simple way to share snippets and pastes with others.
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.
hastebin - Pad editor for source code.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.