Today, organizations are generating huge volumes of data from different departments and executives. This means that organizations cannot use relational databases, which organize data into relations, to store such data. NoSQL databases were developed to provide a solution to the limitations of relational databases. They don’t organize or group data into tables, which are intersections of rows and columns. Thus, NoSQL databases can be used to store different types of unstructured data.
MongoDB is a good example of a NoSQL database that you can use to store unstructured data. It organizes data into documents and collections rather than relations. When using MongoDB, you will definitely need to analyze your data to draw meaningful insights. Such insights can help your organization to make data-driven decisions. Python is a robust programming language, especially for Data Analytics. Thus, you may need to analyze your MongoDB data with Python. However, for this to happen, you must Install MongoDB Python on Windows. This is possible using Python-MongoDB drivers.
This article will introduce you to MongoDB & Python. It will further provide you with a detailed guide on how to Install MongoDB Python on Windows. The method leverages the PyMongo driver to Install MongoDB Python on Windows. Read along, and try the given method by yourself today!
Table of Contents
This is what you need for this article:
- Python 3.X.
- Working knowledge of Python.
What is MongoDB?
MongoDB is an open-source and the leading NoSQL database. It is a document-oriented database that offers high performance, easy scalability, and high availability. It uses documents and collections to organize data rather than relations. This makes it an ideal database management system for the storage of unstructured data.
MongoDB uses replica sets to ensure there is a high availability of data. Each replica set is made up of two or more replicas of data. This gives its users the ability to access their data at any time. The replica sets also create fault tolerance. MongoDB scales well to accommodate more data. It uses the sharding technique to scale horizontally and meet the changing storage needs of its users. MongoDB was developed to help developers unleash the power of data and software.
To learn more about MongoDB, visit here.
What is Python?
Python is one of the most popular general-purpose Programming Languages that finds application in almost every field today. Its versatility and easy-to-use libraries make it an ideal choice for beginners. Software Development, Data Analysis, Task Automation, and Data Visualization are some of the key fields in which Python provides you an edge over other programming languages. Moreover, its simple syntax allows many non-technical professionals like Accountants and Scientists to leverage Python’s features for daily business activities. The Python Programming Language also serves as an integral tool in Data Science for performing complex Statistical Calculations, Creating Machine Learning Algorithms, etc.
To learn more about Python Programming Language, click here.
Hevo Data, a No-code Data Pipeline helps to Load Data from any data source such as Databases, SaaS applications, Cloud Storage, SDK,s, and Streaming Services and simplifies the ETL process. It supports 100+ data sources like MongoDB and loads the data onto the desired Data Warehouse, enriches the data, and transforms it into an analysis-ready form without writing a single line of code.
Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different Business Intelligence (BI) tools as well.
Get Started with Hevo for Free
Check out why Hevo is the Best:
Sign up here for a 14-Day Free Trial!
- Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
- Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
- Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
- Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
- Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
- Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
- Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
Steps to Install MongoDB Python on Windows
You can start using MongoDB and your programming language of choice by leveraging one of the drivers which are maintained by the MongoDB engineers and community members. In this article, it’s Python.
MongoDB comes with a native Python driver called PyMongo that ensures that MongoDB and Python can work together. With this driver, you can Install MongoDB Python on Windows and move data between the two. There is also a team of Driver Engineers whose task is to ensure that the driver meets the needs of the Python community.
To Install MongoDB Python on Windows, implement the following steps:
Step 1: Download MongoDB
Before starting to install MongoDB Python on Windows, you should first download the MongoDB application from the downloads page of the official MongoDB website.
Open the above URL on your web browser and download the MSI package for MongoDB Community Server.
Step 2: Install MongoDB
To move forward in the task to Install MongoDB Python on Windows, you should now follow the necessary steps to install MongoDB. Since you are installing MongoDB on Windows using a msi package, the installation steps are straightforward. You should choose a complete installation rather than a custom installation.
Double click the msi package that you’ve just downloaded to start it. The installation will ask you to confirm some steps.
Click the “Next” button and accept the terms of the license agreement and again click on the “Next” button.
Choose a “Complete” installation and ensure that you are running it as a network service user.
Click the “Next” buttons on the subsequent screens and you will find yourself on the finish screen.
Step 3: Verify the Installation
Before proceeding to the steps to Install MongoDB Python on Windows, you can run the MongoDB service to confirm whether its installation was successful. Use the mongo.exe file which you can find under program files. Double click it to open the shell.
The above response shows that the MongoDB server is running.
Step 4: Install MongoDB Python on Windows
This step is where you actually Install MongoDB Python on Windows. After installing a Python driver you will be able to run interactions between Python and MongoDB. We will install the PyMongo Python library. There are several other drivers that have been developed by the community, but we chose PyMongo because it’s the official Python driver for MongoDB.
We want to be able to access MongoDB from our Python environment. So, we will use the Python environment that has already been installed on Windows. If you don’t have Python, download it from the official website and install it.
Python comes with a package manager known as pip. We can use it to install the PyMongo driver. You can install the driver by running the following command:
pip install pymongo
The command will install PyMongo in your Python environment. If it runs successfully, you will see a success message. This way you can install MongoDB Python on Windows.
Step 5: Verify MongoDB Python Connection
Now that you’ve done the installation, let’s verify whether everything is okay. We will establish a connection from Python to MongoDB using the PyMongo driver. Our goal is to get information about system databases.
First, let’s import the PyMongo driver:
Next, run the following script:
cl = pymongo.MongoClient("mongodb://localhost:27017/")
The script will return the following result:
Thus, you are able to connect to MongoDB from Python using the PyMongo driver, which means that your task to Install MongoDB Python on Windows is successful.
This article introduced you to MongoDB and Python and explained the 5 step process to Install MongoDB Python on Windows. Moreover, from this article you’ve learned the following:
Visit our Website to Explore Hevo
- Relational database management systems are not good for the storage of unstructured data. Unstructured data cannot be organized into relations.
- NoSQL databases were developed to solve the limitations of relational databases. They don’t organize data into rows and columns, hence, they are good for the storage of unstructured data.
- MongoDB is a popular NoSQL database management system good for the storage of unstructured data.
- You can Install MongoDB Python on Windows using the PyMongo driver. You can then leverage that connection to analyze your data and draw meaningful insights for decision-making.
MongoDB is a great tool for storing and managing your project data. However, at times, you need to transfer this data to a Data Warehouse for further analysis. Building an in-house solution for this process could be an expensive and time-consuming task Hevo Data, on the other hand, offers a No-code Data Pipeline that can automate your data transfer process, hence allowing you to focus on other aspects of your business like Analytics, Customer Management, etc. This platform allows you to transfer data from 100+ sources like MongoDB to Cloud-based Data Warehouses like Snowflake, Google BigQuery, Amazon Redshift, etc. It will provide you with a hassle-free experience and make your work life much easier.
Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand.
Share your views on the process to Install MongoDB Python on Windows in the comments section!