Release Date: April 09, 2016
Languages: English, Dutch
MAS Rating: 4+
Mac Platform: Intel
OS Version: OS X 10.11 or later
Processor type(s) & speed: 64-bit processor
Courtesy of Chris
More information: http://warp.one
Mac App Store: https://itunes.apple.com/app/warp/id973942134?mt=12
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
What's New in Version 3.2:
√ When you double-click a column header, Warp now shows you statistics of data in the column and easy access to sorting functions
√ When you change a table, all tables and charts that read data from it are updated automatically as well
√ Warp can now draw maps from data sets that contain coordinates (latitude/longitude). To make a map, drag off an arrow from a data table into the document, and select 'create map here'.
√ Credentials for MySQL and PostgreSQL databases are now remembered in your Keychain and can be quickly selected from a list when connecting
√ Source data to which processing steps have been applied can now in some cases still be edited
√ Filter lists now show how many times an item occurs, and you can also sort by it to show the most occurring items first
√ You can now drag off a column into the document to easily create a frequency table of that column. Using the built-in chart functionality you can then easily turn this into a histogram
√ You can now edit data sets that do not have a primary key - Warp will ask you to select the columns that are unique if there is no primary key.
√ Many bugs fixed, in particular related to aggregation and filtering performance