Atlassian Confluence vs. Hugging Face vs. Shelf Engine

I would recommend Atlassian Confluence for companies that want to have internal documentation and minimum governance processes to ensure documentation is useful and doesn't have a lot of duplicated and non-updated content. I wouldn't recommend Atlassian Confluence for companies with a low budget since this product might be a little costly (especially with add-ons).

Incentivized

If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face

Incentivized

• Cross product linking - If you use other Atlassian products then Atlassian Confluence is a no-brainer for your source of documentation, knowledge management etc. You can show previews of the linked asset natively E.g. showing a preview of a JIRA ticket in a Atlassian Confluence page.
• Simple editing - Though the features available may not be super complex right now, this does come with the benefit of making it easy to edit and create documents. Some documentation editors can be overwhelming, Atlassian Confluence is simple and intuitive.
• Native marketplace - If you want to install add-ons to your Atlassian Confluence space it's really easy. Admins can explore the Atlassian marketplace natively and install them to your instance in a few clicks. You can customise your Atlassian Confluence instance in many different ways using add-ons.

Incentivized

• Model APIs
• Hugging Face Spaces for deploying demo apps
• Latest updated models available easily
• Vast support for language parsing and other relevant tasks

Incentivized

• UI Design is very simplistic and basic could make use of more visually interesting colour choices, layout choices, etc.
• Under the 'Content' menu, it defaults to having a landing page for all L1 and L2 category pages. Meaning as long as the broader content category has a sub-category, it still creates a separate landing page. In my team's case, this often creates blank pages, as we only fill out the page at the lowest sub-category (L3).
• Hyperlinks are traditionally shown as blue, however, this results into very monotonously blue pages in cases where a lot of information is being linked.

Incentivized

• Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
• It’s good to have some visualization tool in hugging face for viewing model architecture.
• I recommend to implement hugging face lite version so that it can run on any system with less specifications.

Incentivized

I am confident that Atlassian can come with additional and innovative macros and functions to add value to Confluence. In 6 months, Atlassian transformed a good collaborative tools into a more comprehensive system that can help manage projects and processes, as well as "talk" with other Atlassian products like Jira. We are in fact learning more about Jira to evaluate a possible fit to complement our tool box.

Great for organizing knowledge in a hierarchical format. Seamless for engineering and product teams managing software development. Helps in formatting pages effectively, reducing manual work. Tracks changes well and allows for easy rollbacks. Granular controls for who can view/edit pages. Search function is not great which needs improvement. Hire some google engineers

Incentivized

I do not recall having outages or applications error so far, very reliable and available.

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We never worked against the tide while using Confluence. Everything loads considerably fast, even media components like videos (hosted on the platform or embed external videos from Youtube, for example). We are not using heavy media components a lot, but in the rare occasion we happen to use one we have no problems whatsoever.

Incentivized

This rating is specifically for Atlassian's self-help documentation on their website. Often times, it is not robust enough to cover a complex usage of one of their features. Frequently, you can find an answer on the web, but not from Atlassian. Instead, it is usually at a power user group elsewhere on the net.

Incentivized

Overall, I am very satisfied with the initial implementation (and the subsequent upgrades and implementations made over the years).

This product has never rose to the level of being an major issue at an executive level. It has quietly and valiantly done it's job for our company!

Incentivized

We chose Atlassian Confluence over SharePoint because it's much more user-friendly and intuitive. Atlassian Confluence makes collaboration and knowledge sharing easier with its simpler interface and better search. While SharePoint can be powerful, it often feels clunky and complex, making it harder for our team to actually use it.

Incentivized

There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.

Incentivized

This tool is very adaptable. So much so we use it for three completely separate projects, in three very different ways.

Incentivized

• The AI feature which lets me find relevant documents while reading one document is really beneficial.
• Centralising of knowledge systems is one of the key differentiators for large organisations.
• As long as folks keep using Google Docs and Atlassian Confluence, there is going to be a challenge in building a continuum.

Incentivized

• Hugging Face is cost and time saving.
• Pay is less, you pay what you use, doesn't affect much.
• Overall positive impact on business.

Incentivized