Atlassian Confluence vs. Tableau Desktop

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

The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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

• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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

• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

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.

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

Incentivized

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

Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

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

Incentivized

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

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

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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

Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

Incentivized

It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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

Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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

I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

Incentivized

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

Incentivized

Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• 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

• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

Incentivized