Atlassian Confluence vs. Azure AI Document Intelligence

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

Azure AI Document Intelligence is mainly used in document data filling. If the template is the same, only the inside data content will be different. There, we use a text-based OCR process to fill the data in the same template with different, accurate data means the manual work will be reduced and time saved. And used in an image and text combined bot if the user query through text from the knowledge based document it brings the output which is used in information technology and services.

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

• From the Image the OCR technology use to store embedding properly
• From the images the OCR technology automatically capturing text is brilliant
• Also for creating Azure AI Document Intelligence endpoint and keys it is very easy to do

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

• Azure AI Document Intelligence should have used to store image based embedding for multiple languages
• Images storing part is a different area in our case and only for a few images that part can be increased
• Cost is high which should be reduced so more users will come and more technology through this will come

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

Azure AI Document Intelligence mainly meets our business requirements. Actually, what we need is image and text-based multimodal, and we store data in pgvector PostgreSQL vector embedding those data. For that, we need text and image combined embedding, which we can get from Azure AI Document Intelligence. Which is working good for us and improved accuracy not 100% but 70% accuracy we are getting at least through Azure AI Document Intelligence.

Incentivized

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

Incentivized

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

Azure AI Search, we used to bring image and text relevant to the user query, but it did not work properly, and the accuracy was very poor compared to Azure AI Document Intelligence. Azure Blob Storage we used to store images and bring in frontend there also accuracy low, so we went for embedding through Azure AI Document Intelligence. Azure AI Content Safety for text content, but it is very costly, so we went for Azure AI Document Intelligence.

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

• Significant reduction in manual processing cost by 40-60%
• Improved data accuracy and reduce work
• Scalability is good without cost increase

Incentivized