Trusted by data-driven companies
Building your pipeline or Using Airbyte
Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- 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
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say
"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"
“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.”
“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”
Sync with Airbyte
1. First, navigate to the HubSpot source connector page on Airbyte's website.
2. Click on the "Add Source" button to begin the process of adding your HubSpot credentials.
3. Enter a name for your HubSpot source connector and click on the "Next" button.
4. You will be prompted to enter your HubSpot API key. To obtain your API key, log in to your HubSpot account and navigate to the "Settings" page. From there, click on "Integrations" and then "API key." Copy the API key and paste it into the Airbyte connector page.
5. Next, select the HubSpot objects you want to replicate. You can choose from contacts, companies, deals, and more.
6. Once you have selected the objects you want to replicate, click on the "Test" button to ensure that your credentials are working properly.
7. If the test is successful, click on the "Create Source" button to finalize the process.
8. Your HubSpot source connector is now set up and ready to use. You can begin replicating data from your HubSpot account to your destination of choice.
1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "BigQuery" destination connector and click on it.
3. Click the "Create Destination" button to begin setting up your BigQuery destination.
4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.
5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.
6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.
7. Finally, review your settings and click the "Create Destination" button to complete the setup process.
8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.
9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.
10. Follow the prompts to enter your source credentials and configure your sync settings.
11. When you reach the "Destination" step, select your BigQuery destination from the dropdown menu and choose the dataset and table prefix you want to use.
12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery destination.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
A platform focused on sales and inbound marketing, Hubspot helps businesses optimize their online marketing strategies for greater visibility to attract more visitors, collect leads, and convert prospects into customers. HubSpot provides a variety of essential services and strategies to move businesses forward, including social media and email marketing, website content management, search engine optimization, blogging, and analytics and reporting. Hubspot is an all-around solution for business teams to grow their customer base through effective marketing.
HubSpot's API provides access to a wide range of data categories, including:
1. Contacts: Information about individual contacts, including their name, email address, phone number, and company.
2. Companies: Information about companies, including their name, industry, and location.
3. Deals: Information about deals, including their stage, amount, and close date.
4. Tickets: Information about customer support tickets, including their status, priority, and owner.
5. Products: Information about products, including their name, price, and description.
6. Analytics: Data on website traffic, email performance, and other marketing metrics.
7. Workflows: Information about automated workflows, including their triggers, actions, and outcomes.
8. Forms: Information about forms, including their fields, submissions, and conversion rates.
9. Social media: Data on social media engagement, including likes, shares, and comments.
10. Integrations: Information about third-party integrations, including their status and configuration.
Overall, HubSpot's API provides access to a wide range of data categories that can be used to improve marketing, sales, and customer support efforts.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
A platform focused on sales and inbound marketing, Hubspot helps businesses optimize their online marketing strategies for greater visibility to attract more visitors, collect leads, and convert prospects into customers. HubSpot provides a variety of essential services and strategies to move businesses forward, including social media and email marketing, website content management, search engine optimization, blogging, and analytics and reporting. Hubspot is an all-around solution for business teams to grow their customer base through effective marketing.
BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.
1. First, navigate to the HubSpot source connector page on Airbyte's website.
2. Click on the "Add Source" button to begin the process of adding your HubSpot credentials.
3. Enter a name for your HubSpot source connector and click on the "Next" button.
4. You will be prompted to enter your HubSpot API key. To obtain your API key, log in to your HubSpot account and navigate to the "Settings" page. From there, click on "Integrations" and then "API key." Copy the API key and paste it into the Airbyte connector page.
5. Next, select the HubSpot objects you want to replicate. You can choose from contacts, companies, deals, and more.
6. Once you have selected the objects you want to replicate, click on the "Test" button to ensure that your credentials are working properly.
7. If the test is successful, click on the "Create Source" button to finalize the process.
8. Your HubSpot source connector is now set up and ready to use. You can begin replicating data from your HubSpot account to your destination of choice.
1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "BigQuery" destination connector and click on it.
3. Click the "Create Destination" button to begin setting up your BigQuery destination.
4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.
5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.
6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.
7. Finally, review your settings and click the "Create Destination" button to complete the setup process.
8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.
9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.
10. Follow the prompts to enter your source credentials and configure your sync settings.
11. When you reach the "Destination" step, select your BigQuery destination from the dropdown menu and choose the dataset and table prefix you want to use.
12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery destination.
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:
Migrating data from Hubspot to BigQuery 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:
- set up HubSpot as a source connector (using Auth, or usually an API key)
- set up BigQuery as a destination connector
- 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 HubSpot
A platform focused on sales and inbound marketing, Hubspot helps businesses optimize their online marketing strategies for greater visibility to attract more visitors, collect leads, and convert prospects into customers. HubSpot provides a variety of essential services and strategies to move businesses forward, including social media and email marketing, website content management, search engine optimization, blogging, and analytics and reporting. Hubspot is an all-around solution for business teams to grow their customer base through effective marketing.
What is BigQuery
BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.
{{COMPONENT_CTA}}
Prerequisites
- A HubSpot account to transfer your customer data automatically from.
- A BigQuery account.
- 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 HubSpot and BigQuery, for seamless data migration.
When using Airbyte to move data from HubSpot to BigQuery, it extracts data from HubSpot using the source connector, converts it into a format BigQuery can ingest using the provided schema, and then loads it into BigQuery via the destination connector. This allows businesses to leverage their HubSpot data for advanced analytics and insights within BigQuery , simplifying the ETL process and saving significant time and resources.
Step 1: Set up HubSpot as a source connector
1. First, navigate to the HubSpot source connector page on Airbyte's website.
2. Click on the "Add Source" button to begin the process of adding your HubSpot credentials.
3. Enter a name for your HubSpot source connector and click on the "Next" button.
4. You will be prompted to enter your HubSpot API key. To obtain your API key, log in to your HubSpot account and navigate to the "Settings" page. From there, click on "Integrations" and then "API key." Copy the API key and paste it into the Airbyte connector page.
5. Next, select the HubSpot objects you want to replicate. You can choose from contacts, companies, deals, and more.
6. Once you have selected the objects you want to replicate, click on the "Test" button to ensure that your credentials are working properly.
7. If the test is successful, click on the "Create Source" button to finalize the process.
8. Your HubSpot source connector is now set up and ready to use. You can begin replicating data from your HubSpot account to your destination of choice.
Step 2: Set up BigQuery as a destination connector
1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "BigQuery" destination connector and click on it.
3. Click the "Create Destination" button to begin setting up your BigQuery.
4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.
5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.
6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.
7. Finally, review your settings and click the "Create Destination" button to complete the setup process.
8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.
9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.
10. Follow the prompts to enter your source credentials and configure your sync settings.
11. When you reach the "Destination" step, select your BigQuery from the dropdown menu and choose the dataset and table prefix you want to use.
12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery.
Step 3: Set up a connection to sync your data from Hubspot to BigQuery
Once you've successfully connected HubSpot as a data source and BigQuery as a destination in Airbyte, you can set up a data pipeline between them with the following steps:
- Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
- Choose your source: Select HubSpot from the dropdown list of your configured sources.
- Select your destination: Choose BigQuery from the dropdown list of your configured destinations.
- 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.
- Select the data to sync: Choose the specific HubSpot objects you want to import data from towards BigQuery. You can sync all data or select specific tables and fields.
- 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.
- Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
- Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from HubSpot to BigQuery according to your settings.
Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your BigQuery data warehouse is always up-to-date with your HubSpot data.
Use Cases to transfer your HubSpot data to BigQuery
Integrating data from HubSpot to BigQuery provides several benefits. Here are a few use cases:
- Advanced Analytics: BigQuery's powerful data processing capabilities enable you to perform complex queries and data analysis on your HubSpot data, extracting insights that wouldn't be possible within HubSpot alone.
- Data Consolidation: If you're using multiple other sources along with HubSpot, syncing to BigQuery 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.
- Historical Data Analysis: HubSpot has limits on historical data. Syncing data to BigQuery allows for long-term data retention and analysis of historical trends over time.
- Data Security and Compliance: BigQuery provides robust data security features. Syncing HubSpot data to BigQuery ensures your data is secured and allows for advanced data governance and compliance management.
- Scalability: BigQuery can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding HubSpot data.
- Data Science and Machine Learning: By having HubSpot data in BigQuery, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
- Reporting and Visualization: While HubSpot provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to BigQuery, providing more advanced business intelligence options. If you have a HubSpot table that needs to be converted to a BigQuery table, Airbyte can do that automatically.
Wrapping Up
To summarize, this tutorial has shown you how to:
- Configure a HubSpot account as an Airbyte data source connector.
- Configure BigQuery as a data destination connector.
- Create an Airbyte data pipeline that will automatically be moving data directly from HubSpot to BigQuery 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:
Ready to get started?
Frequently Asked Questions
HubSpot's API provides access to a wide range of data categories, including:
1. Contacts: Information about individual contacts, including their name, email address, phone number, and company.
2. Companies: Information about companies, including their name, industry, and location.
3. Deals: Information about deals, including their stage, amount, and close date.
4. Tickets: Information about customer support tickets, including their status, priority, and owner.
5. Products: Information about products, including their name, price, and description.
6. Analytics: Data on website traffic, email performance, and other marketing metrics.
7. Workflows: Information about automated workflows, including their triggers, actions, and outcomes.
8. Forms: Information about forms, including their fields, submissions, and conversion rates.
9. Social media: Data on social media engagement, including likes, shares, and comments.
10. Integrations: Information about third-party integrations, including their status and configuration.
Overall, HubSpot's API provides access to a wide range of data categories that can be used to improve marketing, sales, and customer support efforts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: