I am using Mac, which never talks to Excel on my system, readtable() is happy with the file in R2016a,R2017a, R2018a (I did not try other versions. Starting in R2019a, import spreadsheet data as a table, a matrix, or a cell array by using readtable, readmatrix, or readcell respectively. The problem is that xlsread seems to interpret cells starting with an "=" as numeric even if is a reference to a cell with text.
The instructions below read all columns table. The three read functions by default do not use a running Excel process, but reads the data directly from the file.
#CELL ARRAY MATLAB WINDOWS#
Unlike xlsread, with readtable the sheet name is passed as a Name-Parameter argument: On Windows system. The 'readcell' option produces an output closest to the 'raw' output parameter of 'xlsread'. It's down the rabbit hole a bit (readtable -> table -> readfromfile -> readxlsfile -> xlsread) but you can see it in the profiler.
In MATLAB R2015b and later, xlsread, xlswrite, xlsfinfo use one Excel process that is opened when one of these functions is opened for the first time and stays open until MATLAB closes. there are two operation in Matlab one is to create excel files and other is to read or open excel files. 2 seconds to get the output readtable takes about 12 seconds readcell takes about 42 seconds. If you need to use xlsread, use it as long as you have it available. Passing this along from my colleagues on the MATLAB Import team (yep, there is a team for that). What does Xlsread do in MATLAB? The xlsread function returns the text fields in cell array txt, both the numeric and text data in cell array raw, and the second output from processFcn in array custom. A table, however, is limited to have the same number of rows in xlsread() and everything that calls it, such as readtable(), is terribly slow, especially when you have a boatload of Excel files to process. 'readcell' should be used for the case where the data in the file is You could take a look at xlsread, but if you do not have read table then you do not have access to the table variable type. 
This syntax is supported only on Windows computers with Excel software.
When switching from 'xlsread', there are now three functions that can be used to import from Excel sheets as well as other file formats: 'readcell', 'readmatrix' and 'readtable'. txt','Delimiter','\t','ReadVariableNames',true) Data has 5 millions rows and hence, dropping columns after reading would be pointless time Unlike xlsread, with readtable the sheet name is passed as a Name-Parameter argument: The easy way is to have variable name in the first row, and value in the 2nd row. 
In MATLAB 2019a for my Excel file, xlsread takes about 1. Most of my "in anger" files will be x100 larger Thanks for the suggestion! In MATLAB R2015b and later, xlsread, xlswrite, xlsfinfo use one Excel process that is opened when one of these functions is opened for the first time and stays open until MATLAB closes. I originally thought that it was preferable to use readtable with your data, since you needed to refer to your data using the variable names, and a table makes that straightforward. As mentioned in the comments, readtable internally calls xlsread to read in Excel data. The xlsread function does not change the data stored in the spreadsheet. 'readcell' should be used for the case where the data in the file is xlsread filename sheet range basic is the command format for xlsread, showing its usage with all input arguments specified. Xlsread vs readtable I've tried all Name Value pair options and spreadsheetImportOptions as well.
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