MapD vs Tableau: What are the differences?
MapD: Open source GPU-Powered Database. Interactively query and visualize massive datasets with the parallel power of GPUs; Tableau: Tableau helps people see and understand data. Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
MapD and Tableau are primarily classified as "Databases" and "Business Intelligence" tools respectively.
Some of the features offered by MapD are:
- column store
On the other hand, Tableau provides the following key features:
- 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.
MapD is an open source tool with 1.91K GitHub stars and 271 GitHub forks. Here's a link to MapD's open source repository on GitHub.