Unlock the full potential of your MongoDB Atlas data by integrating it seamlessly with PostgreSQL. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see it in action!
MongoDB Atlas excels at storing and processing unstructured and semi-structured data, while PostgreSQL offers scalability and advanced analytics. MongoDB Atlas to PostgreSQL integration forms a robust ecosystem that addresses the technical challenges associated with data management and analysis.
In this guide, we will explore two easy methods for MongoDB Atlas to PostgreSQL Data Migration. Let’s dive in!
Overview of MongoDB Atlas
MongoDB Atlas is a fully managed cloud database service that excels at storing and processing unstructured and semi-structured data. It offers high availability, scalability, and security, making it ideal for applications with varying data types and workloads.
With built-in automation and monitoring, it simplifies database management, so you can focus on building your applications.
Overview of PostgreSQL
PostgreSQL is a popular object-relational database management system that offers enterprise-grade features with a strong focus on extensibility. It runs on all major operating systems such as Unix and Windows. It is open-source, fully ACID-compliant, and fully supports foreign keys, joins, etc., in multiple languages. It is available in cloud-based deployments by most major cloud providers.
Prerequisites
Method 1: Move Data from MongoDB Atlas using CSV files
Step 1.1: Connect MongoDB Atlas to MongoDB Compass
- Log in to your MongoDB Atlas account.
- Select the desired cluster and click on Connect. Now, select I have MongoDB Compass, Compass version, and copy the Connection string.
The Connection string includes crucial information like Database name, Collection name, Username, and Password. Replace <username> and <password> with your actual username and password.
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- Open MongoDB Compass and paste the modified connection string. Now, click the connect button to establish a connection between MongoDB Atlas and MongoDB Compass.
Step 1.2: Export Data Using MongoDB Compass
- Open MongoDB Compass, move to the desired cluster’s database and choose a specific collection from which you want to export data.
- Now, click the Export button located at the top right of the screen.
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- A pop-up widget will appear, allowing you to select either JSON or CSV file format and specify the file location to save the exported document. In this case, we selected the CSV file format and clicked the Export button to initiate the export process.
Step 1.3: Load Data to PostgreSQL
- You can easily create a PostgreSQL table using pgAdmin’s interface. Open pgAdmin and find the Tables option in the left-side menu under the Schema section. Right-click on Tables and select the Create option to create a new table.
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- You can provide the table’s information, like its name and column names. Click the Save button to create a new table.
- Right-click on the created table and choose Import/Export. Now, select your CSV file, choose the Export option, and click the OK button.
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You have successfully connected your MongoDB Atlas data to PostgreSQL. Here are a couple of benefits of using this approach:
- Data Transformation Flexibility: Using CSV files grants you greater flexibility in performing direct custom modifications on the exported data. This includes tasks such as data cleaning, filtering, and transformation before loading it into PostgreSQL.
- One-Time Data Transfer: Using CSV files is well-suited for performing one-time data migrations between databases. It offers a straightforward and effective solution to replicate data from MongoDB Atlas to PostgreSQL. By eliminating the requirement for complex automated processes, it minimizes overall migration expenses and streamlines the MongoDB Atlas to PostgreSQL integration process.
Migrating data from MongoDB Atlas to PostgreSQL comes with several benefits, but it’s essential to be aware of the potential drawbacks.
Limitations of Manually Connecting MongoDB Atlas to PostgreSQL
- Time-Consuming: Using CSV files can be time-consuming and resource-intensive, especially when dealing with larger datasets. Since each step is performed manually, it requires individual attention, leading to potential time delays and the possibility of errors.
- Security Concerns: Exporting and importing data using CSV files without proper security measures can pose significant risks, especially when handling sensitive or confidential data. It is essential to implement proper measures to ensure data protection throughout the data migration process.
- Real-Time Data Synchronization: Using CSV files for replication requires manual intervention and execution of data transfers at regular intervals, leading to delays in data updates and potential inconsistencies between the two databases. As a result, any changes made in MongoDB Atlas are not immediately reflected in PostgreSQL.
Integrate data from MongoDB Atlas to PostgreSQL
Integrate data from MongoDB Atlas to MySQL
Integrate data from MongoDB to PostgreSQL
Method 2: Automating the Data Replication Process using a No Code Tool
Step 2.1: Configure MongoDB Atlas as Source
Step 2.2: Configure PostgreSQL as Destination
You have successfully connected MongoDB Atlas to PostgreSQL. Now you can start analyzing your MongoDB Atlas data using the powerful capabilities of PostgreSQL.
Why is Connecting Automatically Recommended?
- Wide Range of Pre-Built Connectors: With support for 150+ integrations, Hevo enables you to seamlessly connect with a wide range of SaaS applications, payment gateways, advertising platforms, and analytics tools.
- Drag-and-Drop Functionality: Hevo’s drag-and-drop functionality simplifies transformation tasks like filtering and mapping, making it perfect for simple transformations.
- Scalability: Hevo Data is built to scale and handle large volumes of data with minimal latency. It has a fault-tolerant architecture that ensures no data loss, and it can handle millions of records per minute as the number of sources and data volume grows.
- Security and Compliance: Hevo Data is SOC2, GDPR, and HIPAA compliant, providing a secure environment for data integration.
- Live Support: Hevo Data offers round-the-clock email, chat, and voice call support. This ensures you can access dedicated support whenever you need assistance with your integration project.
Seamless Integration: MongoDB Atlas to PostgreSQL!
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What can you Achieve by Migrating Data from MongoDB Atlas to PostgreSQL?
Here’s what data analysts can do after MongoDB Atlas to PostgreSQL data replication.
- Aggregate the data of individual interaction of the product for any event.
- Finding the customer journey within the product (website/application).
- Integrating transactional data from different functional groups (Sales, marketing, product, Human Resources) and finding answers. For example:
- Which Development features were responsible for an App Outage in a given duration?
- Which product categories on your website were most profitable?
- How does the Failure Rate in individual assembly units affect Inventory Turnover?
Additional Resources for MongoDB Integrations and Migrations
Conclusion
Migrating data from MongoDB Atlas to PostgreSQL offers several benefits, including data centralization, scalability, and improved performance. Using CSV files provides greater control, flexibility, and supports custom data transformations. However, it does come with certain limitations, including being time-consuming, lack of real-time synchronization, and raising data security concerns.
Alternatively, using a no-code tool like Hevo Data simplifies the MongoDB Atlas to PostgreSQL integration process. It offers a user-friendly interface and pre-built connectors, making the entire migration process easier for you. With real-time data streaming and transformation capabilities, you can seamlessly migrate data from MongoDB Atlas to PostgreSQL.
Sign up for a 14-day free trial and simplify your data integration process. Check out the pricing details to understand which plan fulfills all your business needs.
Frequently Asked Questions
1. How to convert MongoDB database to PostgreSQL?
To convert MongoDB to PostgreSQL, you can export data from MongoDB in JSON or CSV format and then import it into PostgreSQL using tools like mongoexport and psql or use third-party migration tools.
2. What is the difference between MongoDB Atlas and Postgres?
MongoDB Atlas is a NoSQL, document-based database, while PostgreSQL is a relational database. MongoDB handles unstructured data well, while PostgreSQL is better for structured data and supports SQL queries.
3. How do I export data from MongoDB Atlas?
You can export data from MongoDB Atlas using the mongoexport command or by utilizing Atlas’s built-in export feature to export data in JSON or CSV format.
Tejaswini is a passionate data science enthusiast and skilled writer dedicated to producing high-quality content on software architecture and data integration. Tejaswini's work reflects her deep understanding of complex data concepts, making them accessible to a wide audience. Her enthusiasm for data science drives her to explore innovative solutions and share valuable insights, helping professionals navigate the ever-evolving landscape of technology and data.
