Databases
Databases

How to load data from IBM Db2 to MongoDB

Learn how to use Airbyte to synchronize your IBM Db2 data into MongoDB within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up IBM Db2 as a source connector (using Auth, or usually an API key)
  2. set up MongoDB as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is IBM Db2

Specializing in the development and maintenance of Android, iOS, and Web applications, DB2’s AI technology offers fast insights, flexible data management, and secure data movement to businesses globally through its IBM Cloud Pak for Data platform. Companies rely on DB2’s AI-powered insights and secure platform and save money with its multimodal capability, which eliminates the need for unnecessary replication and migration of data. Additionally, DB2 is convenient and will run on any cloud vendor.

What is MongoDB

MongoDB is a database that powers crucial applications and systems for global businesses. Designed for developers and specializing in the areas of open source, software development, and databases, it offers functionality such as horizontal scaling, automatic failover, and the capability to assign data to a location.

Integrate IBM Db2 with MongoDB in minutes

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Prerequisites

  1. A IBM Db2 account to transfer your customer data automatically from.
  2. A MongoDB account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including IBM Db2 and MongoDB, for seamless data migration.

When using Airbyte to move data from IBM Db2 to MongoDB, it extracts data from IBM Db2 using the source connector, converts it into a format MongoDB can ingest using the provided schema, and then loads it into MongoDB via the destination connector. This allows businesses to leverage their IBM Db2 data for advanced analytics and insights within MongoDB, simplifying the ETL process and saving significant time and resources.

Step 1: Set up IBM Db2 as a source connector

1. First, you need to obtain the necessary credentials to connect to your IBM Db2 source. This includes the hostname, port number, database name, username, and password.  

2. Once you have the credentials, open the Airbyte platform and navigate to the "Sources" tab.  

3. Click on the "Add Source" button and select "IBM Db2" from the list of available sources.  

4. In the "Configure IBM Db2" page, enter the hostname, port number, database name, username, and password in the corresponding fields.  

5. Click on the "Test Connection" button to ensure that the credentials are correct and that Airbyte can connect to your IBM Db2 source.  

6. If the connection is successful, click on the "Save" button to save the configuration.  

7. You can now create a new pipeline and select the IBM Db2 source as the origin. Follow the prompts to configure the pipeline and select the destination where you want to replicate the data.  

8. Once the pipeline is set up, you can run it manually or schedule it to run at specific intervals.  

9. You can monitor the progress of the pipeline and view any errors or warnings in the Airbyte platform.  

10. Congratulations, you have successfully connected your IBM Db2 source to Airbyte and can now replicate your data to any destination of your choice.

Step 2: Set up MongoDB as a destination connector

Step 3: Set up a connection to sync your IBM Db2 data to MongoDB

Once you've successfully connected IBM Db2 as a data source and MongoDB as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select IBM Db2 from the dropdown list of your configured sources.
  3. Select your destination: Choose MongoDB from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific IBM Db2 objects you want to import data from towards MongoDB. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from IBM Db2 to MongoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MongoDB data warehouse is always up-to-date with your IBM Db2 data.

Use Cases to transfer your IBM Db2 data to MongoDB

Integrating data from IBM Db2 to MongoDB provides several benefits. Here are a few use cases:

  1. Advanced Analytics: MongoDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your IBM Db2 data, extracting insights that wouldn't be possible within IBM Db2 alone.
  2. Data Consolidation: If you're using multiple other sources along with IBM Db2, syncing to MongoDB allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: IBM Db2 has limits on historical data. Syncing data to MongoDB allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: MongoDB provides robust data security features. Syncing IBM Db2 data to MongoDB ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: MongoDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding IBM Db2 data.
  6. Data Science and Machine Learning: By having IBM Db2 data in MongoDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While IBM Db2 provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MongoDB, providing more advanced business intelligence options. If you have a IBM Db2 table that needs to be converted to a MongoDB table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a IBM Db2 account as an Airbyte data source connector.
  2. Configure MongoDB as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from IBM Db2 to MongoDB after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
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Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
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Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
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Connectors Used

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Frequently Asked Questions

What data can you extract from IBM Db2?

IBM Db2 provides access to a wide range of data types, including:  

1. Relational data: This includes tables, views, and indexes that are organized in a relational database management system (RDBMS).  

2. Non-relational data: This includes data that is not organized in a traditional RDBMS, such as NoSQL databases, JSON documents, and XML files.  

3. Time-series data: This includes data that is collected over time and is typically used for analysis and forecasting, such as sensor data, financial data, and weather data.  

4. Geospatial data: This includes data that is related to geographic locations, such as maps, satellite imagery, and GPS coordinates.  

5. Graph data: This includes data that is organized in a graph structure, such as social networks, recommendation engines, and knowledge graphs.  

6. Machine learning data: This includes data that is used to train machine learning models, such as labeled datasets, feature vectors, and model parameters.  

Overall, IBM Db2's API provides access to a diverse range of data types, making it a powerful tool for data management and analysis.

What data can you transfer to MongoDB?

You can transfer a wide variety of data to MongoDB. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from IBM Db2 to MongoDB?

The most prominent ETL tools to transfer data from IBM Db2 to MongoDB include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from IBM Db2 and various sources (APIs, databases, and more), transforming it efficiently, and loading it into MongoDB and other databases, data warehouses and data lakes, enhancing data management capabilities.