What is Tableau?
Who uses Tableau?
Why developers like Tableau?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Tableau in their tech stack.
We've been able to develop great reports in QuickBooks, HubSpot, and other software. The problem is it's always a very limited view of the company, and we have hundreds of dashboards and reports scattered across dozens of different types of software.
We use Tableau to grab data through APIs and tie it altogether in a more intuitive and useful way.
I use Tableau because it has a good drag and drop interface for data viz. I usually connect it to databases and warehouses for real-time querying.
I love the dynamic tool tip charting that's pretty easy to create.
However, it's pretty expensive for large organizations, and Tableau server runs pretty slow after awhile. I recommend this for users who don't want to code up data viz.
- Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.
- Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.
- Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.
- Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.