Comparison Between Excel Vs SQL

➤ Microsoft Excel was developed by Microsoft Corporation in 1994 and is used to present numeric and statistical data in a tabular form.

➤ SQL was developed in the 1970s by IBM researchers Raymond Boyce and Donald Chamberlin to extract, organize, manage & manipulate data stored in relational databases.

➤ Excel is a spreadsheet or worksheet file made of rows and columns that help sort, organize, and calculate numerical data.

➤ SQL is a query language used to manipulate databases and get information stored in a relational database management system (RDBMS).

➤ Excel is helpful for producing quick data summaries and visualizations

➤ SQL is needed to work with large volumes of data, manage databases, and use relational databases to their full potential.

➤ Microsoft Excel is used in business analyst roles for quick calculations, data summaries, and data visualizations.

➤ Data analysts use SQL to take care of large databases and find important and relevant data for business use.

➤ In Microsoft Excel, even slightly more than 100,000 will probably cause your computer to slow down.

➤ SQL does not slow down with larger data sets depending on the software and database.
In Excel, your data is saved in a file that is typically set up with tabs, columns, and rows on your computer.

➤ You make SQL queries and send them to the database. The database gets them and either fulfills your requests or changes them.

➤ Excel does not include encryption features for protecting sensitive data such as personally identifiable information, financial data, etc.

➤ The SQL database is designed to be a secure database platform. It has a number of features that can encrypt data, limit access and authorization, and keep data from being stolen, destroyed, or used in other bad ways.

➤ Excel spreadsheets are susceptible to small human mistakes.

➤The most common SQL error is a syntax error.

1. Excel SQL
Difference Between Excel & SQL
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2. Excel VS SQL
SQL was developed in the
1970s by IBM researchers
Raymond Boyce and Donald
Chamberlin to extract,
organize, manage &
manipulate data stored in
relational databases
Microsoft Excel was
developed by Microsoft
Corporation in 1994 and is
used to present numeric
and statistical data in a
tabular form
SQL is a query language
used to manipulate
databases and get
information stored in a
relational database
management system
(RDBMS)
Excel is a spreadsheet or
worksheet file made of rows
and columns that help sort,
organize, and calculate
numerical data
SQL is needed to work
with large volumes of
data, manage databases,
and use relational
databases to their full
potential
Excel is helpful for
producing quick data
summaries and
visualizations
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3. www.technogeekscs.com
Excel VS SQL
Data analysts use SQL
to take care of large
databases and find
important and relevant
data for business use
Microsoft Excel is used in
business analyst roles for
quick calculations, data
summaries, and data
visualizations
SQL does not slow down
with larger data sets
depending on the
software and database
In Microsoft Excel, even
slightly more than
100,000 will probably
cause your computer to
slow down
You make SQL queries
and send them to the
database. The database
gets them and either
fulfills your requests or
changes them
In Excel, your data is
saved in a file that is
typically set up with
tabs, columns, and rows
on your computer

4. www.technogeekscs.com
SQL is a useful for :- Excel is a useful for :-
The SQL database is
designed to be a secure
database platform. It has
a number of features that
can encrypt data, limit
access and authorization,
and keep data from being
stolen, destroyed, or used
in other bad ways
Excel does not include
encryption features for
protecting sensitive
data such as personally
identifiable information,
financial data, etc
The most common SQL
error is a syntax error
Excel spreadsheets are
susceptible to small
human mistakes
Excel VS SQL

5. www.technogeekscs.com
Manipulate data
Summarize data with
pivot tables
Visualize data into
charts, graphs, and
tables
Compute quick
statistics - numbers that
summarize your data
Manipulating data
Pulling data
Filtering data
Updating data
Combining data
SQL is a useful for :- Excel is a useful for :-

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