Exporting MongoDB data for further analysis in Excel is a common need. While MongoDB stores complex data, Excel provides convenience for slicing and visualizing that data. This article outlines two simple methods to export MongoDB to Excel-compatible formats like CSV that can then be imported into Excel.

With just a few steps, you can leverage MongoDB’s flexible documents and Excel’s analytical capabilities in tandem. By following the easy guide, you’ll be able to integrate your rich MongoDB data sets into Excel for simplified reporting and dashboards. Read on to learn how experts export key insights from MongoDB directly into the Excel environment.

So, whether you’re a beginner or an experienced user, read on to learn more to export MongoDB to Excel.

2 Easy Methods: Export MongoDB To Excel & CSV

To export MongoDB to Excel, you need to first export your MongoDB documents to CSV file format. This can be done in multiple ways as listed below:

Simplify ETL with Hevo’s no-code Data Pipeline

Hevo is the only real-time ELT No-code Data Pipeline platform that cost-effectively automates data pipelines that are flexible to your needs. With integration with 150+ Data Sources (40+ free sources), we help you not only export data from sources & load data to the destinations but also transform & enrich your data, & make it analysis-ready.

Start for free now!

Get Started with Hevo for Free

Method 1: Using mongoexport

mongoexport is a command-line utility that is used to export data from a MongoDB instance in a CSV file format. mongoexport runs directly on the MongoDB command line and not on the Mongo Shell. It can be used in the following way:

mongoexport --collection=<coll> [options]

mongoexport is part of MongoDB’s tools package, which is available through the MongoDB Download Center. The tools package must be installed well in advance so that the command-line can be accessed.

The user must specify the collection they want to export along with an output file name. 

mongoexport helps to export MongoDB to Excel in CSV format in two simple steps:

Step 1: Connecting To A MongoDB Instance

A MongoDB instance running on port “27017”, doesn’t necessarily require a host or port to be specified.

Example query: Here stores represents the database from which sparkle collection is being exported.

mongoexport --collection=sparkle --db=stores --out=sparkle.csv

a) Specifying the collection that you want to export, can be done in two ways:

--collection=<collection> or -c=<collection>

b) Specifying the output file that you want to export to, can similarly be done in two ways:

--out=<output_name> or -o=<output_name>

c) Specifying the database you will be exporting from is represented as: 

--db=<database_name> or -d=<database_name>

Step 2: Commands To Export MongoDB Documents In CSV

To export MongoDB to Excel & CSV format, you have to specify all the fields in your export query that you want, along with the order you want them in.

Example query:

mongoexport --db=customers --collection=info --type=csv --fields=name,address,phone --out=/opt/backups/info.csv

This query exports data from the collection named info which is a part of the database called customers, in the desired CSV format in a file stored as /opt/backups/info.csv.

Name, address, phone
Rahul Batra, Golf Course Gurugram, 98xxxxxxx
Anirudh Behal, Estancia, Guduvanchery, 81xxxxxxx

It is also possible to specify the required fields using a text file, which contains only one field per line. Such a file is usually in the .txt format.

Example file: Here name, address & phone fields are specified in a file called field_name.txt.

Name
Address
Phone

This method requires using the –fieldFile option while writing the query to mention which text file needs to be looked into for getting the field names.

mongoexport --db=customers --collection=info --type=csv --fieldFile=field_name.txt --out=/opt/backups/info.csv

The output CSV file can be tailored to return only the documents, excluding the field names.

This is possible by including –noHeaderLine option in the export query, this option suppresses the output field to have only the documents.

Example query:

mongoexport --db=customers --collection=info --type=csv --fields=name, address, phone --noHeaderLine --out=/opt/backups/contacts.csv

Example output:

Rahul Batra, Golf Course Gurugram, 98xxxxxxx
Anirudh Behal, Estancia, Guduvanchery, 81xxxxxxx

This is how mongoexport can be used to export MongoDB to Excel & CSV format.

Export MongoDB to Excel: Downloaded File.
Image Source: Windows System

Once you have used MongoDB export query result to CSV, you can visit the desired collection/document by going to the file location on your system and opening it to view the exported data using any spreadsheet application like Microsoft Excel.

Export MongoDB to Excel: Export mongoDB to excel
Image Source: MS Excel

For more information on the mongoexport syntax and its various operations, you can look into the mongoexport manual.

Limitations of Using Manual Method to Export MongoDB to Excel and CSV

  • Error-Prone: Exporting data using the manual method can be cumbersome and has the possibility of including of lot of errors. 
  • Security issues: Usually, there is direct access to the MongoDB database while using the manual method. This may pose a security risk.
Solve your data replication problems with Hevo’s reliable, no-code, automated pipelines with 150+ connectors.
Get your free trial right away!

Method 2: Using Tools Such As Studio 3T

Export MongoDB to Excel: Studio 3T Logo.
Image Source: Studio 3T

Studio 3T provides the Export Wizard facility, which helps export MongoDB to Excel, query results, and even collections in various formats like CSV. The process begins by connecting with the desired MongoDB instance and then working on the collection and its documents using the Studio 3T wizard. 

Using Studio 3T, you can export MongoDB to Excel & CSV formats in 2 steps:

Step 1: Using The Wizard Toolbar

Export MongoDB to Excel: Wizard Toolbar.
Image Source: Studio3T

Click on the Export option and then use a right-click to select any database followed by a collection that you want to export.

Export MongoDB to Excel: Exporting Collection.
Image Source: Studio3T

With Studio 3T, you can export data & simultaneously query in applications like Visual Query Builder, IntelliShell, SQL, etc.

The Export configuration allows to dynamically change the source of export i.e. database, connection, etc. You can click on the export source and make changes as required.

Export MongoDB to Excel: Export Source.
Image Source: Studio3T

The progress of an export process can be monitored using the operations window which is usually found in the bottom left corner of the wizard.

Export MongoDB to Excel: Reveal in Folder option.
Image Source: Studio3T

Step 2: Exporting Documents In CSV & Excel

Begin by launching the wizard, and select the source from where you want to export the document. This enables you to export MongoDB to Excel using the CSV export file which can be seamlessly absorbed in your Excel sheets.

Export MongoDB to Excel: CSV Format,
Image Source: Studio3T

Select the final export format as CSV.

The Studio 3T Wizard performs a scan of 500 documents by default to find the desired fields from your collection. You can select the full scan option to detect all the fields or manually add fields using the add custom field option.

Export MongoDB to Excel: Adding a Custom Field.
Image Source: Studio3T

This will open a new tab called export overview along with a default tab by the name of Export unit#1-CSV.

Export MongoDB to Excel: Exporting Data as CSV.
Image Source: Studio3T

There are six parts of the Export unit#1-CSV tab:

  • Source: Displays the source of the document.
  • Select Fields: It is used to add/remove custom fields and then export data.
  • Target: Choose between clipboard/file & make sure the file path is defined.
  • CSV format: It is used to configure settings like preset, delimit, record separator, etc.
  • Other: It is used to configure non-formatting settings such as how to treat null values, column headers, etc.
  • Output preview: It will display a preview of the CSV file.

Click on execute to export MongoDB to Excel & CSV format using Studio 3T.

Limitations of Using Studio 3T

  • Complex Interface: The Studio 3T interface is not user-friendly, with many tabs and modals popping up frequently. This makes it difficult to navigate through and complete the tasks. 
  • Inefficient Exporting Feature: The exporting feature of Studio 3T does not have more formats available to export data in. Also, there is no option to save the export once it has been completed.

Use Cases of Exporting MongoDB to Excel and CSV

  • Data Analysis: Excel and CSV files offer a properly structured format for storing and retrieving data, unlike MongoDB. Also, both CSV and Excel files are compatible with different data analysis tools like Python, R and SQL. This makes them suitable for effective data analysis. 
  • Reporting: Both Excel and CSV files can be used to prepare reports including charts and visualizations. Thus MongoDB export to Excel or MongoDB export to CSV can help organizations to make better business decisions.

Conclusion

This article teaches you how to export MongoDB to Excel to replicate your documents with ease and answers all your queries regarding mongoexport to perform MongoDB export query result to CSV, and Studio 3T.

It briefly introduces these methods and their operations to help the users understand them better and use them to export MongoDB to Excel in the most efficient way possible. It also introduces an alternative method that is Hevo Data, a No-code Data Pipeline, to export MongoDB documents in an effortless and highly secure manner.

visit our website to explore hevo

Export your data seamlessly, give Hevo a try today! sign up for a 14 Day Free Trial!. Look at our affordable pricing to help you choose the right plan.

How do you export MongoDB to Excel? Share your thoughts in the comments section below.

Divij Chawla
Marketing Operations and Analytics Manager, Hevo Data

Divij Chawla worked with Hevo in driving the Marketing Operations and Analytics team. He has a keen interest in data analysis, data, software architecture, and the creation of technical content related to the realm.

Sarthak Bhardwaj
Customer Experience Engineer, Hevo

Sarthak brings two years of expertise in JDBC, MongoDB, REST API, and AWS, playing a pivotal role in Hevo's triumph through adept problem-solving and superior issue management.

No-code Data Pipeline Solution For MongoDB