CSV to SQL Conversion Tool

The best & free online CSV to SQL converter converts the CSV string/CSV file format into the SQL string/SQL file format.

Please copy and paste the CSV data, or upload the CSV file to convert it into a SQL (Insert), SQL (Update), and SQL (Delete) query format.

CSV stands for comma-separated values. A comma-separated values file is a plain text file that contains the data. Each line in the CSV file is a data record. And each record contains the fields that are separated from each other through commas. So in simple words, CSV is a comma-separated values file that stores the tabular data in plain text format.

Usually, the first line of the CSV file contains the table data labels, and each subsequent line will have the same number of fields.

These files sometimes also knowns as Character Separated Values or Comma Delimited files because the characters in this file are separated by a comma or delimited by a comma.

The CSV file contains the .csv extension and is used with most spreadsheet programs, like Microsoft Excel or Google Spreadsheets.

But one problem with that file format, that it is not fully standardized. The commas are used to separate the fields, but the things become complicated, with the fields in itself, contains the commas or embedded line breaks. CSV implementation may use quotation marks to surround that field. But that is not the right solution because some fields may need embedded quotation marks. Therefore, the implementation of the CSV file requires CSV Escape/Unescape.

Because it converts the tabular data into plain text, companies export a high volume of data into a more robust database, such as customers or orders data, to and from their database, by using that file extension.

It is used to export the complex data from one application in CSV format and then import that CSV data to another application. Many companies rely on that format to import and export complex data (customers and order data) from their database. But its main drawback is that it's not versatile as XML and JSON. And you require a homemade parser to convert the CSV data into a native data structure.

SQL stands for Structured Query Language. A computer language that is designed to communicate with the database. It is not a programming language, it is a query language, and most database systems are compatible with SQL.

Donald D. Chamberlin and Raymond F. Boyce designed the SQL, and in 1974, it appeared the first time.

According to the ANSI (American National Standards Institute), it is the standard language in a relational database management system (RDBMS). It became a standard by ANSI (American National Standards Institute) in 1986 and ISO (International Organization for Standardization) in 1987.

Because to create a website that shows data from a database, you need a relational database, server-side scripting language, like PHP or ASP, SQL to get your data, and HTML and CSS for the web page style.

In a relational database, the data is stored in database objects, called tables. The table consists of rows and columns and consists of relevant data. The table is further broken into entities named fields, like in the customer database, the fields can be CustomerID, CustomerName, ContactName, Address, City, PostalCode, and Country.

With the SQL, you can execute queries against the relational database, like Oracle, Sybase, Microsoft SQL Server, Access, Ingres, etc.,

• To retrieve the data from your database.
• To insert, update, or delete the records from the database.
• To create a new database and tables within the database.
• To store procedures in the database, create views, and set permission in tables, views, and procedures.

No one can deny the importance of data. Today, the engineers and programmers continually update the data representation programs and store and transfer data in the human-readable format. Either you are making a single-page website or an extensive website, at some point, you have to connect with the server to get the response. And the server gives you a response in either CSV, XML, or JSON.

CVS is a comma-separated values file, or a delimited text file, that stores the values by separating them with commas. Each line is a data record, and each data record contains the fields separated by commas. It converts the tabular data into plain text format.

On the other hand, SQL is linked with a relational database. The SQL is used to store, manipulate, and retrieve the data in a relational database system. Almost all the databases are compatible with SQL. That is why language is preferred when making any changes or storing and getting the database's data. It gives data in tabular form, easily fits in rows and columns, and helps store and search the data.

Conversion is fun. The online tools help convert CSV string/CSV file format into the SQL string/SQL file format.

To do this, do the following steps.

• Open the best & free online CSV to SQL converter.
• You can either copy-paste the CSV data, use the "Load from the URL" option, or use the "Browse" option to upload the CSV file.
• The tool provides you the facility to enter the table name. Please enter the table in the "Table Name" section.
• If your CSV data includes the date, please check the "Contains Date" checkbox and select the data format.
• After uploading the CSV data, the tool provides you three options CSV to SQL (Insert), CSV to SQL (Update), and CSV to SQL (Delete).
• Select the query option as per your requirement.
• The tool will automatically convert the CSV data into the SQL query as per your selected option.
• Please copy the query code, and paste it into the desired location for further use.
• You can also use the best & free online SQL to CSV converterto convert the SQL data into CSV format.

Note: We do not keep a copy of the resulted code. Therefore, please copy the resulted code and paste it to the desired location for future use if you are happy and satisfied with the results.