Perfect Wiki
Dropbox Paper Mobile
Confluence
Amium
Asana
LearningSpaces for Teams
DoSheets
Process Street
Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Informatica
Rakam
Concurrent
Create pages with user guides, onboarding, SOPs, and more—all within Microsoft Teams.
Perfect Wiki DatabricksNo features have been listed yet.
Everything the MS Teams app is missing, Perfect Wiki gave me! No more losing precious content, I can protect all my pages from edits with the simple rights management. Setting up the wiki was super easy too - just seconds and we were making pages in MS Teams channels. I recommend Perfect Wiki to all my tech-savvy friends - we all agree that as of today its' the best way to share knowledge in Microsoft Teams. Very cheap too.
Based on our record, Databricks seems to be more popular. 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.
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
Dropbox Paper Mobile - Organize your team’s knowledge in a single place
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Confluence - Confluence is content collaboration software that changes how modern teams work
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.
Amium - A collaboration app that brings conversation to your files
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.
