docs: update line

README.md

@@ -26,8 +26,7 @@ Ibis has three primary components:
 Ibis aims to be a future-proof solution to interacting with data using Python and can accomplish this goal through its main features:
 
 - **Familiar API**: Ibis’s API design borrows from popular APIs like pandas and dplyr that most users already know and like to use.
-- **Consistent syntax**: After learning how to use Ibis, users can use the same API and concepts no matter where their data lives.
-  **Learn once, write anywhere**.
+- **Consistent syntax**:  Ibis aims to be universal python API for tabular data, big or small.
 - **Deferred execution**: Ibis pushes code execution to the query engine and only moves required data into memory when it has to.
   This leads to more faster, more efficient analytics workflows
 - **Interactive mode**: Ibis also provides an interactive mode, in which users can quickly diagnose problems, do exploratory data analysis, and mock up workflows locally.