How to load data from MongoDb to MongoDB
Learn how to use Airbyte to synchronize your MongoDb data into MongoDB within minutes.


Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes



Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say

Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Chase Zieman

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Prepare Source and Destination MongoDB Instances
Ensure that both the source and destination MongoDB instances are up and running. Verify network connectivity between the two instances, especially if they are on different servers or networks. Also, ensure you have the necessary authentication details (username, password) for both instances if authentication is enabled.
Step 2: Use `mongodump` to Export Data from Source
Use MongoDB's `mongodump` tool to export data from the source database. This tool creates a binary export of the database contents. Run the following command in the terminal:
```
mongodump --host= --port= --username= --password= --db= --out=
```
Replace the placeholders with your specific details. This command will create a backup of the specified database in the specified directory.
Step 3: Compress the Exported Data (Optional)
If you need to transfer the data over a network and want to reduce the data size, compress the exported data using a tool like `tar` or `zip`. For example, you can use:
```
tar -czvf backup.tar.gz
```
This step is optional but can help speed up data transfer, especially for large datasets.
Step 4: Transfer Data to Destination Server
Move the exported data, or the compressed file, to the destination server. This can be done using secure copy protocol (SCP), rsync, or any other file transfer method. For example, using SCP:
```
scp backup.tar.gz @:
```
Ensure that you have the necessary permissions and network access to perform this transfer.
Step 5: Decompress Data on Destination Server
If you compressed the data in step 3, decompress it on the destination server. Use:
```
tar -xzvf backup.tar.gz -C
```
This will extract the data to the specified directory, preparing it for import.
Step 6: Use `mongorestore` to Import Data into Destination
Use MongoDB's `mongorestore` tool to import the data into the destination MongoDB instance. Run the following command:
```
mongorestore --host= --port= --username= --password= --db=
```
Specify the database and directory containing the exported data. This will restore the data into the destination database.
Step 7: Verify Data Integrity and Consistency
Once the data has been imported, verify that the data integrity and consistency are maintained. Check that the data in the destination database matches the source database. You can do this by comparing counts of documents, sampling data, or using MongoDB's `validate` command on collections.
By following these steps, you can manually move data from one MongoDB instance to another without relying on third-party connectors or integrations.