Warp allows you to convert and analyze (very) large databases with ease at the speed of light. In Warp, you work on a small subset of the data, after which Warp repeats your actions on the entire dataset. Unlike most data analysis apps, you do not have to type any codes in Warp.
Read data from files (e.g. CSVs), databases (MySQL, PostgreSQL or SQLite) or even big data warehouses (RethinkDB and Facebook Presto)
Effortlessly juggle around data between files and databases by simply dragging-and-dropping! Load CSV files into MySQL or transfer a PostgreSQL table to a RethinkDB table by just dragging one to the other.
Efficiently analyze large datasets: Warp works closely together with databases to deliver the best performance.
Work faster by creating your analysis on a small subset of the data, then run it on all data with only a single click
Use the same formulas and techniques (such as pivot tables) you already know from Microsoft Excel
Easily re-run an analysis on different data, possibly from different sources
Easy-to-use, drag and drop interface, but the pro features are never more than a click away
Name: Warp 4.0 purchase for Mac Version: 4.0 Release Date: 30 May 2017 Mac Platform: Intel OS version:OS X 10.11 or later Processor type(s) & speed: 64-bit processor
Includes: Pre-K’ed
Web Site: https://warp.one//
Overview
Warp allows you to convert and analyze (very) large databases with ease at the speed of light. In Warp, you work on a small subset of the data, after which Warp repeats your actions on the entire dataset. Unlike most data-analysis apps, you do not have to type any codes in Warp.
Features
Read data from files (e.g., CSVs), databases (MySQL, PostgreSQL, or SQLite) or even big data warehouses (RethinkDB and Facebook Presto)
Effortlessly juggle around data between files and databases by simply dragging-and-dropping! Load CSV files into MySQL or transfer a PostgreSQL table to a RethinkDB table by just dragging one to the other.
Efficiently analyze large datasets: Warp works closely together with databases to deliver the best performance.
Work faster by creating your analysis on a small subset of the data, then run it on all data with only a single click
Use the same formulas and techniques (such as pivot tables) you already know from Microsoft Excel
Easily re-run an analysis on different data, possibly from different sources
Easy-to-use, drag and drop interface, but the pro features are never more than a click away
