Dataiku vs. Tableau Public

I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.

Incentivized

Tableau Public is great, especially if you're new to the platform or considering implementing it within an organization. The Public version has most of the capabilities of the full version, with extensive community documentation to troubleshoot issues you may run into. Additionally, there are many resources to check out Public workbooks from other users and communities: a GREAT learning resource to figure out new, innovative ways to visualize and present data. It is perfect for evaluating public datasets, for doing exploratory data analysis, or contributing to cross-organizational or extracurricular projects that may benefit from more sophisticated data analysis and exploration. Tableau Public, because it stores to the cloud and has limitations on connectivity (ie, cannot connect to SQL servers) is not suited for confidential, financial, PII, etc., data, and care should be taken to avoid including sensitive data in any of the Tableau Public workbooks used by an individual or organization.

Incentivized

• Very intuitive and easy to use UI, making a lot of types of users can collaborate with each other easily, by visualizing the same workflow.
• Many building blocks can be reused immediately, avoid a lot of non-standard boiler plate implementation.
• Data pre-analysis and feature engineering assistance increase the productivity as well as the efficiency of data scientists.
• Many data connectors support wide range of data storage, from SQL, TeraData, Hadoop Hive, etc.
• Support from research till final MaaS solution deployment.

Incentivized

• Tableau Public can work with data that are differently formatted, such as MS Excel, .txt file, Google Sheets, not sure about MS Access.
• GUI interface of Tableau Public is not that hard to start working on; Also, it can generate codes for the operations and so it is relatively easy to visualize and correct mistakes.
• Lots of Tableau Public users upload their work to the online community, users can easily find very good figures/graphs that are similar to their problems and so they can use these figures/graphs as templates to modify and make their own ones.

Incentivized

• Its community support is very limited at the moment
• Complex to integrate with automation tools such as Blue Prism

Incentivized

• The biggest drawback to the Public version of Tableau is that any data used in the program is 'public' and therefore not secure: workbooks are saved to the cloud, rather than locally
• Tableau Public limits data ingestion to 10 million rows per source
• Limited connections - can't connect to SQL databases to ingest data (must be through CSV, Access, TDE, or text files)

Incentivized

It's free, right? I'll keep using the free version. So the real question to ask is this? Will I pay $999 for the Personal version or $1,999 for the Professional? Yikes! That is a big stretch. I'm not sure about that. The product comparison chart is at: http://www.tableausoftware.com/public/comparison

As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

Incentivized

Tableau public is a great training tool to understand the basics of Tableau before buying it. A great tool to extend Excel's visualization and to publish data for others. Not useful for anything you need secure. No ability to access databases. Static information only.

The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

Incentivized

I have not yet required to contact support as the documentation and help i found online has always worked so far

Incentivized

I found it sufficient, and fast. I could easily "kick the tires" with Tableau on my data so I got up and running fast.

Start at the end and work backward. Identify the business case / issue and questions the end users have, then identify the data needed, and where to get it.

Incentivized

Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.

Incentivized

Tableau public is Free and no subscription is required whereas Tableau Desktop is a paid subscription. if there is no private or confidential data it's easy to Tableau public and share reports with people. Tableau public has same features and options same as desktop. its easy for students or beginners to signup and start learning/build reports.

• Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
• Platform also ease tracking of data processing workflow, unlike Excel.
• Build-in data visualizations covers many use cases with minimal customization; time saver.

Incentivized

• We have saved costs on Dashboarding tools thanks to the free tools within Tableau Public
• Streamlined reporting
• Time saved with easier data preparation features
• Professional looking dashboards and visualisations

Incentivized