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Get the Report →Load HubSpot Data to a Database Using Embulk
Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load HubSpot data to a database.
Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for HubSpot, Embulk easily loads data from HubSpot to any supported destination. In this article, we explain how to use the CData JDBC Driver for HubSpot in Embulk to load HubSpot data to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live HubSpot data. When you issue complex SQL queries to HubSpot, the driver pushes supported SQL operations, like filters and aggregations, directly to HubSpot and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
About HubSpot Data Integration
CData provides the easiest way to access and integrate live data from HubSpot. Customers use CData connectivity to:
- Access HubSpot without worrying about API updates or changes..
- Access custom objects and fields in HubSpot with no extra configuration steps involved.
- Use SQL stored procedures to perform functional operations like uploading or downloading attachments, inserting engagements, and creating or deleting custom objects or fields.
Users frequently integrate HubSpot with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate Workday data to databases or data warehouses.
To learn about how other customers are using CData's HubSpot solutions, check out our blog: Drivers in Focus: Simplified HubSpot Connectivity.
Getting Started
Configure a JDBC Connection to HubSpot Data
Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for HubSpot\lib).
Embulk supports JDBC connectivity, so you can easily connect to HubSpot and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with HubSpot.
HubSpot uses the OAuth authentication standard. You can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app.
See the Getting Started chapter of the help documentation for a guide to using OAuth.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the HubSpot JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.hubspot.jar
Fill in the connection properties and copy the connection string to the clipboard.
Below is a typical JDBC connection string for HubSpot:
jdbc:hubspot:InitiateOAuth=GETANDREFRESH
Load HubSpot Data in Embulk
After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.
Install Embulk Input & Output Plugins
- Install the JDBC Input Plugin in Embulk.
https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc - In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysqlembulk gem install embulk-output-mysql
embulk gem install embulk-input-jdbc
With the input and output plugins installed, we are ready to load HubSpot data into MySQL using Embulk.
Create a Job to Load HubSpot Data
Start by creating a config file in Embulk, using a name like hubspot-mysql.yml.
- For the input plugin options, use the CData JDBC Driver for HubSpot, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.hubspot.HubSpotDriver), and the JDBC URL from above
- For the output plugin options, use the values and credentials for the MySQL database
Sample Config File (hubspot-mysql.yml)
in:
type: jdbc
driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.hubspot.jar
driver_class: cdata.jdbc.hubspot.HubSpotDriver
url: jdbc:hubspot:InitiateOAuth=REFRESH
table: "Prospects"
out:
type: mysql
host: localhost
database: DatabaseName
user: UserId
password: UserPassword
table: "Prospects"
mode: insert
After creating the file, run the Embulk job.
embulk run hubspot-mysql.yml
After running the the Embulk job, find the Salesforce data in the MySQL table.
Load Filtered HubSpot Data
In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.
in:
type: jdbc
driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.hubspot.jar
driver_class: cdata.jdbc.hubspot.HubSpotDriver
url: jdbc:hubspot:InitiateOAuth=REFRESH
query: "SELECT Slug, PageViews FROM Prospects WHERE [RecordId] = 1"
out:
type: mysql
host: localhost
database: DatabaseName
user: UserId
password: UserPassword
table: "Prospects"
mode: insert
More Information & Free Trial
By using CData JDBC Driver for HubSpot as a connector, Embulk can integrate HubSpot data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.