Tableau Public is the central location where anyone can publish a dashboard for the world to see. You can edit dashboards online and then publish them internally within your company. Tableau Online is the cloud version of Tableau. I want to focus on 4 major offerings: Tableau Online, Tableau Public, Tableau Desktop, and Tableau Server. In reality, Tableau is showing the different use cases that you could tackle with their tools. In their website, you’ll see options like Tableau Desktop, Tableau Prep, Tableau Online, Tableau Server, Tableau Mobile, etc. Let’s start by unpacking all the versions of Tableau since that is the first confusing point. There’s quite a bit you can do with Tableau and the Tableau ecosystem is extensive. You’ll have lots of ways to show your data while also controlling it. I also think Tableau tends to be a good match for academics and research teams. If you have something that is “simple”, then this tool will be overcomplicated for your needs. Tableau is better suited for large companies and more complex projects. Let’s jump in and talk about who Tableau is for. The context will help you gauge which tool is better suited for your company and needs. These are the stories that I’ll use to provide context on Google Data Studio vs Tableau. The overall amount of complexity was lower but we still needed something that could be easily maintained over time. The dashboard needed to be public-facing as well. The Data Studio client had 4 – 5 data sources and a limited amount of segments. We also needed to make the data available publicly so the dashboard needed to support multiple stakeholders. Most of this data resided in Google Sheets and we had a few automated API sources like Google Analytics. They had 25+ data sources and needed to segment the data by multiple markets e.g.
The Tableau client needed to create a dashboard that could help them understand the impact of COVID-19 on local tourism.
They had different needs and different levels of complexity but each story captures the best of each tool. One of my clients used Tableau and another one used Data Studio. To understand these two tools, we need to take real-life stories. This gave me a peek to the pros and cons of each option and why, in hindsight, they were the right fit for each given project. I had the opportunity to work on both of the tools at the same time (in different projects). To help you better understand each tool, I’ll weave in two stores from my client work. If you’re designing a stack, a tool like this is a must. One could limit you in the future while the other could weigh you down in the present. They each serve a purpose but you need to make the right decision. I love both of these tools for different reasons. I’m frequently asked about my thoughts on Google Data Studio vs Tableau. However, selecting a vendor that can do this isn’t easy. Being able to summarize your data in a single place (manually or automatically) is a huge win for companies (and data cultures).
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