Databases
Marketing Analytics

How to load data from HubSpot to MS SQL Server

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

Microsoft SQL Server is a relational database management (RDBMS) built by Microsoft. As a database server, its primary function is to store and retrieve data upon the request of other software applications, either from the same computer or a different computer across a network—including the internet. To serve the needs of different audiences and workload sizes, Microsoft offers multiple editions (at least 12) of its Microsoft SQL Server.

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Prerequisites

  1. A HubSpot account to transfer your customer data automatically from.
  2. A MS SQL Server 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 HubSpot and MS SQL Server, for seamless data migration.

When using Airbyte to move data from HubSpot to MS SQL Server, it extracts data from HubSpot using the source connector, converts it into a format MS SQL Server can ingest using the provided schema, and then loads it into MS SQL Server via the destination connector. This allows businesses to leverage their HubSpot data for advanced analytics and insights within MS SQL Server, 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 MS SQL Server as a destination connector

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "MSSQL - SQL Server" connector and click on it.
3. Click on the "Create new destination" button.
4. Fill in the required information, including the destination name, host, port, database name, username, and password.
5. Click on the "Test connection" button to ensure that the connection is successful.
6. Once the connection is successful, click on the "Save" button to save the destination.
7. Navigate to the "Sources" tab on the left-hand side of the screen and select the source that you want to connect to the MSSQL - SQL Server destination.
8. Click on the "Create new connection" button.
9. Select the MSSQL - SQL Server destination that you just created from the drop-down menu.
10. Fill in the required information for the source, including the source name, host, port, database name, username, and password.
11. Click on the "Test connection" button to ensure that the connection is successful.
12. Once the connection is successful, click on the "Save" button to save the connection.13. You can now start syncing data from your source to your MSSQL - SQL Server destination.

Step 3: Set up a connection to sync your HubSpot data to MS SQL Server

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

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MS SQL Server data warehouse is always up-to-date with your HubSpot data.

Use Cases to transfer your HubSpot data to MS SQL Server

Integrating data from HubSpot to MS SQL Server provides several benefits. Here are a few use cases:

  1. Advanced Analytics: MS SQL Server’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.
  2. Data Consolidation: If you're using multiple other sources along with HubSpot, syncing to MS SQL Server 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: HubSpot has limits on historical data. Syncing data to MS SQL Server allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: MS SQL Server provides robust data security features. Syncing HubSpot data to MS SQL Server ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: MS SQL Server can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding HubSpot data.
  6. Data Science and Machine Learning: By having HubSpot data in MS SQL Server, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While HubSpot provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MS SQL Server, providing more advanced business intelligence options. If you have a HubSpot table that needs to be converted to a MS SQL Server table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a HubSpot account as an Airbyte data source connector.
  2. Configure MS SQL Server as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from HubSpot to MS SQL Server 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. 
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You’ve come to the right place if you are looking for HubSpot to Microsoft SQL Server integration. While HubSpot is a popular marketing platform that provides basic insights for in-depth analytics, you must migrate your data to SQL Server. 

Let’s find out how this migration can help you streamline your data management. You’ll also learn two popular ways to replicate data from HubSpot to MS SQL Server.

Why Migrate Data from HubSpot to MS SQL Server?

This migration can offer several benefits:

  • Data Centralization: SQL Server allows you to centralize your data in a structured way. This consolidation makes it painless to manage and analyze data from multiple sources in a unified environment.
  • Customized Reporting and Analysis: SQL Server provides powerful querying and reporting capabilities. By migrating data, you gain the flexibility to create custom reports, conduct in-depth analysis, and derive valuable insights from your data.

But before understanding how to replicate data from HubSpot to SQL Server, let’s understand what these tools are in brief.

Developed in 2006, HubSpot is a comprehensive Customer Relationship Management (CRM) platform. It offers tools for sales, marketing, and customer service. With HubSpot, you can quickly manage and analyze customer interactions throughout the entire lifecycle, from lead generation to customer retention. 

SQL, on the other hand, is a robust Relational Database Management System (RDBMS) developed by Microsoft. It allows you to store, manage, and retrieve large amounts of data. With support for Python and R, SQL Server enables advanced analytics and Machine Learning within the database. This enables you to execute complex analytical queries efficiently.

Methods to Migrate Data from HubSpot to MS SQL Server?

  • HubSpot to SQL Server ETL Pipeline Using Airbyte
  • Manual Moving Data from HubSpot to SQL Server

HubSpot to SQL Server ETL Pipeline Using Airbyte

Airbyte is a data integration and ETL tool that helps you move your data from various sources to popular destinations of your choice. It provides diversified 350+ sources and target systems, including data warehouses, databases, applications, and more.

Before understanding the step-by-step guide to migrate data from HubSpot to an SQL server using Airbyte, let’s take a quick look at the prerequisites:

  • Active HubSpot account
  • For authentication: If you’re an Airbyte Cloud user, it’s strongly advised to opt for OAuth authentication, as it simplifies the setup process. Meanwhile, for Airbyte Open Source users, Private App authentication is recommended.
  • MS SQL Server and target database.
  • You need a user configured in SQL Server that can create tables and write rows.

Step 1: Configure a HubSpot Source in Airbyte

  • Log in to Airbyte Cloud or deploy Airbyte OSS as per your convenience.
  • You’ll be directed to the Airbyte dashboard. Select Sources located on the left side pane.
  • Type HubSpot in the Search bar and select the specific connector.
  • In the Source name field, provide a unique name to help you identify the HubSpot source in the Airbyte.
  • Next is Authentication to the HubSpot account. Choose one option from the dropdown: OAuth or Private App.

User Type:

For Airbyte Cloud User:

  • Recommended - Use OAuth for Authentication. Click OAuth and sign in with HubSpot to authorize your account.
  • Not Recommended - Select Private App and enter the Access Token.

For Airbyte Open Source User

  • Recommended - Use a Private App for Authentication.
  • Not Recommended - Select OAuth and enter your Client ID, Client Secret, and Refresh Token.
  • Provide the Start date from where you want your data to be replicated.
  • Click the Set up source button and wait for Airbyte to complete the test connection.

Step 2: Configure a SQL Server Destination in Airbyte 

  • Go back to the dashboard and select Destinations. 
  • Search MS SQL Server in the Search bar and select the appropriate connector.
  • Enter the name for the MS SQL Server connector in the Destination name field. 
  • Provide Host, Port, Username, Password, Schema, Database name, and SSL Method to configure the MSSQL destination.
  • Once you fill in all the mandatory details, click on Set up Destination.
  • You can refer to Airbyte’s MS SQL Server documentation for more information.

Step 3: Create an Airbyte Connection 

  • Return to the dashboard and choose Connections to establish a link between HubSpot and SQL Server. Then, click on Create a new Connection.
  • Select the HubSpot source and SQL server destination that you have created in Steps 1 and 2. 
  • Enter the Connection Name and configure the Replication frequency. You can adjust the frequency based on your specific needs.
  • You can also enable incremental synchronization that updates only the changes or new data since the last synchronization. Instead of transferring the entire dataset every time, incremental synchronization optimizes the process by identifying and syncing only the modified or added records.
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  • Once you initiate your first sync, data from HubSpot will be replicated in SQL Server tables. That’s it! These three quick steps complete your HubSpot to SQL Server ETL pipeline.

Manual Moving Data from HubSpot to SQL Server

HubSpot allows you to export data from different sections or through API. You can export various types of data, such as contacts, companies, deals, emails, tasks, tickets, and more, to a CSV format.

Here’s a step-by-step guide to manually migrate data from HubSpot to SQL Server using CSV files and SSMS:

Prerequisites:

  • HubSport account
  • SQL Server Management Studio (SSMS)
  • Target database in SQL Server

Step 1: Export Data from HubSpot to CSV

  • Log into your HubSpot account. 
  • Navigate to the respective section and select the desired data that you want to export.
  • Follow the prompts to export the data to a CSV file.
  • Review if the correct HubSpot data is downloaded in the CSV files.

Step 2: Transformation

Before uploading your CSV file data to SQL Server, you might need to perform certain transformations. This will ensure that your data aligns with the structure of the SQL Server database. Following are some of the transformations that you should consider:

  • Check and convert the data types if necessary.
  • Handle null values appropriately. If your setting is enabled on certain columns to not allow null values, then you’ll need to handle null values.
  • Make sure to specify column headers in your CSV file, as the SSMS assumes the first row as column names during the import process.
  • If there are any encoding values in your CSV file, ensure that it is compatible with SQL Server.
  • Check for duplicate values in the corresponding columns if there is a primary key constraint in your table.
  • If the SQL Server database has foreign key relationships, confirm that the corresponding columns in your CSV contain valid values that match the referenced keys.

Step 3: Import CSV to SQL Server

  • Open SSMS and connect to your SQL Server instance.
  • Create a new database or open an existing one where you want to replicate data. 
  • Expand Databases > Open your database > Tasks > Import Flat File.
  • Click on the Browse button and mention the path of your CSV file. Provide a table name in the New table name and select the Table schema.
  • Check if the fields are correctly mapped on the preview page. Also, check the schema of each field. You have the flexibility to change the data type, set the primary key, and define null values in the Modify Columns page.
  • Once all the settings are completed, click the Next button, followed by Finish, to initiate the transfer process.
  • Once the migration is complete, you’ll see an Operation Complete message on your screen. 
  • Check the SQL Server table to ensure the data has been successfully imported.

Why Choose Airbyte for Moving Data from HubSpot to SQL Server?

While the manual method to move data from HubSpot to SQL Server seems straightforward, it does come with some challenges. It has limitations in handling enormous volumes of data efficiently, ensuring real-time updates, and maintaining data integrity. 

In addition to this, the process may become time-consuming as you’ll have to repeatedly upload CSV files for each table. Security might be a concern if the migration process is not handled carefully. To address these limitations, you must try advanced ETL tools like Airbyte for the following reasons:

  • Airbyte supports incremental synchronization. This reduces the time of data transfer, minimizing resource consumption. It is particularly useful for scenarios where you need real-time or near real-time data in your target database.
  • Transformation in Airbyte can be achieved using:
  • dbt (Data Build tool): A robust tool for data transformation that provides an SQL-based interface for transforming data.
  • SQL: Structured Query Language that you can use for manipulating and managing relational databases. 
  • Java programming language
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Wrapping Up

Moving data from HubSpot to SQL Server is advantageous for several reasons.

You have learned two distinct ways to integrate these powerful platforms. If you use Airbyte, this pipeline will incrementally ingest data and provide you with deduplicated tables. Overall, you can also establish a Change Data Capture (CDC) pipeline based on logs without the requirement to parse logs manually. This streamlined approach simplifies the process of capturing and delivering real-time data changes to SQL Server.

Airbyte simplifies the process of building and maintaining your data infrastructure. Start your free trial today and deploy reliable, performant, and highly-customizable data pipelines in minutes.

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 HubSpot?

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 data can you transfer to MS SQL Server?

You can transfer a wide variety of data to MS SQL Server. 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 HubSpot to MS SQL Server?

The most prominent ETL tools to transfer data from HubSpot to MS SQL Server include:

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

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