Warehouses and Lakes
Databases

How to load data from MongoDb to Firebolt

Learn how to use Airbyte to synchronize your MongoDb data into Firebolt 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 MongoDb as a source connector (using Auth, or usually an API key)
  2. set up Firebolt 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 MongoDb

MongoDB is a popular open-source NoSQL database that stores data in a flexible, document-based format. It is designed to handle large volumes of unstructured data and is highly scalable, making it a popular choice for modern web applications. MongoDB uses a JSON-like format to store data, which allows for easy integration with web applications and APIs. It also supports dynamic queries, indexing, and aggregation, making it a powerful tool for data analysis. MongoDB is widely used in industries such as finance, healthcare, and e-commerce, and is known for its ease of use and flexibility.

What is Firebolt

Firebolt is a high-performance cloud-native data warehouse platform designed for massive-scale data analytics. It enables organizations to harness the power of big data with lightning-fast query speeds and unlimited scalability. Firebolt.io utilizes a unique indexing technology and a highly parallelized architecture to optimize data processing and reduce query latency. With its cloud-native approach, users can easily integrate and analyze diverse data sources while benefiting from automatic scalability and cost optimization. Firebolt.io empowers businesses to derive actionable insights from their data at unprecedented speed and efficiency, accelerating data-driven decision-making and unlocking the full potential of big data analytics.

Prerequisites

  1. A MongoDb account to transfer your customer data automatically from.
  2. A Firebolt 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 MongoDb and Firebolt, for seamless data migration.

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

Step 1: Set up MongoDb as a source connector

1. First, you need to have a MongoDB instance running and accessible from the internet. You will also need to have the necessary credentials to access the database.

2. In the Airbyte dashboard, click on "Sources" and then click on "New Source."

3. Select "MongoDB" from the list of available sources.

4. In the "Connection Configuration" section, enter the following information:
- Host: The hostname or IP address of your MongoDB instance.
- Port: The port number on which your MongoDB instance is running.
- Username: The username you use to access your MongoDB instance.
- Password: The password you use to access your MongoDB instance.
- Authentication Database: The name of the database where your authentication credentials are stored.

5. Click on "Test Connection" to ensure that Airbyte can connect to your MongoDB instance.

6. If the connection is successful, click on "Save" to save your MongoDB source configuration.

7. You can now create a new pipeline and select your MongoDB source as the input. You can then configure the pipeline to transform and load your data into your desired destination.

Step 2: Set up Firebolt as a destination connector

1. First, navigate to the Firebolt destination connector on Airbyte.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection.
4. Enter your Firebolt API key and secret.
5. Enter the name of the Firebolt database you want to connect to.
6. Enter the name of the schema you want to use.
7. Choose the tables you want to replicate.
8. Configure any additional settings, such as the replication frequency and the maximum number of rows to replicate.
9. Test the connection to ensure that it is working properly.
10. Save the connection and start the replication process.
Note: It is important to have a basic understanding of Firebolt and its API before attempting to connect it to Airbyte. Additionally, it is recommended to consult the Airbyte documentation for more detailed instructions and troubleshooting tips.

Should you build or buy your data pipelines?

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Step 3: Set up a connection to sync your MongoDb data to Firebolt

Once you've successfully connected MongoDb as a data source and Firebolt 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 MongoDb from the dropdown list of your configured sources.
  3. Select your destination: Choose Firebolt 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 MongoDb objects you want to import data from towards Firebolt. 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 MongoDb to Firebolt according to your settings.

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

Use Cases to transfer your MongoDb data to Firebolt

Integrating data from MongoDb to Firebolt provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Firebolt’s powerful data processing capabilities enable you to perform complex queries and data analysis on your MongoDb data, extracting insights that wouldn't be possible within MongoDb alone.
  2. Data Consolidation: If you're using multiple other sources along with MongoDb, syncing to Firebolt 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: MongoDb has limits on historical data. Syncing data to Firebolt allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Firebolt provides robust data security features. Syncing MongoDb data to Firebolt ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Firebolt can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding MongoDb data.
  6. Data Science and Machine Learning: By having MongoDb data in Firebolt, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While MongoDb provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Firebolt, providing more advanced business intelligence options. If you have a MongoDb table that needs to be converted to a Firebolt table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a MongoDb account as an Airbyte data source connector.
  2. Configure Firebolt as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from MongoDb to Firebolt 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.
Subscribe to newsletter

Integrate MongoDb with Firebolt in minutes

Try for free now

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

Should you build or buy your data pipelines?

Download our free guide and discover the best approach for your needs, whether it's building your ELT solution in-house or opting for Airbyte Open Source or Airbyte Cloud.

Download now

Integrate MongoDb with Firebolt in minutes

Try for free now

Connectors Used

Frequently Asked Questions

What data can you extract from MongoDb?

MongoDB gives access to a wide range of data types, including:

1. Documents: MongoDB stores data in the form of documents, which are similar to JSON objects. Each document contains a set of key-value pairs that represent the data.
2. Collections: A collection is a group of related documents that are stored together in MongoDB. Collections can be thought of as tables in a relational database.
3. Indexes: MongoDB supports various types of indexes, including single-field, compound, and geospatial indexes. Indexes are used to improve query performance.
4. GridFS: MongoDB's GridFS is a specification for storing and retrieving large files, such as images and videos, in MongoDB.
5. Aggregation: MongoDB's aggregation framework provides a way to perform complex data analysis operations, such as grouping, filtering, and sorting, on large datasets.
6. Transactions: MongoDB supports multi-document transactions, which allow multiple operations to be performed atomically.
7. Change streams: MongoDB's change streams provide a way to monitor changes to data in real-time, allowing applications to react to changes as they occur.

Overall, MongoDB provides access to a flexible and powerful data model that can handle a wide range of data types and use cases.

What data can you transfer to Firebolt?

You can transfer a wide variety of data to Firebolt. 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 MongoDb to Firebolt?

The most prominent ETL tools to transfer data from MongoDb to Firebolt include:

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

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