Send data from Sympla to BigQuery

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Replicate Sympla Data to BigQuery Automatically

Connecting your event management data to Google Cloud has never been simpler. Kondado provides a direct connection between Sympla and BigQuery, allowing you to consolidate ticket sales, participant information, and order details without writing a single line of code. Simply authenticate your Sympla account, select the pipelines you need, and configure your preferred update schedule to start replicating data immediately. Once your data lands in BigQuery, you can combine it with other business sources to build comprehensive reports that track event performance across your entire organization.

Kondado automatically replicates Sympla events, participants, and orders data to BigQuery on a configurable schedule ranging from every 5 minutes to daily, enabling automated analytics workflows without manual exports.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With the Events pipeline, you can analyze publication status and scheduling conflicts across multiple venues, while the Participants pipeline delivers attendee contact details and unique ticket identifiers directly to your data warehouse. The Orders pipeline captures transaction statuses, approval dates, and total values, enabling you to calculate revenue recognition and payment reconciliation within BigQuery. By combining these datasets, you can create custom dashboards that monitor conversion rates from registration to purchase, segment audiences by event attendance history, and forecast cash flow based on pending order approvals. This consolidated view empowers marketing teams to optimize future campaigns using historical attendance patterns and purchasing behaviors stored in your Google Cloud environment.

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Sympla data available for BigQuery

3
available pipelines
64
extractable fields

Available integrations

Integration Description
Events Includes information such as event name, start and end dates, and whether it is published or canceled.
Participants Contains data about participants, including last name, email, and unique ticket identifier.
Orders Presents order details such as status, approval date, and total order value.
Events
Includes information such as event name, start and end dates, and whether it is published or canceled.
Participants
Contains data about participants, including last name, email, and unique ticket identifier.
Orders
Presents order details such as status, approval date, and total order value.
See all available data →

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How to send Sympla data to BigQuery

Sync data automatically — no code, no manual exports.

1
Authenticate Sympla on Kondado

Enter your Sympla API credentials in the Kondado platform to establish the data source connection and authorize access to your event management data.

2
Configure BigQuery Destination

Specify your Google Cloud project ID and dataset location within BigQuery where the Sympla data should be stored.

3
Select Pipelines and Schedule

Choose which Sympla pipelines to activate, such as Events, Participants, or Orders, and set your preferred update frequency from 5 minutes to daily intervals.

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Send data from Sympla to other destinations

Looker Studio

Sympla > Looker Studio
Power BI

Sympla > Power BI
Other visualizations
Other visualizations
Amazon S3

Sympla > Amazon S3
BigQuery

Sympla > BigQuery
Excel

Sympla > Excel
Google Sheets

Sympla > Google Sheets
MySQL

Sympla > MySQL
PostgreSQL

Sympla > PostgreSQL
Redshift

Sympla > Redshift
SQL Server

Sympla > SQL Server

Choose a tool to visualize your Sympla data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Airtable
Sympla > Airtable
Alteryx
Sympla > Alteryx
Amazon Quicksight
Sympla > Amazon Quicksight
BIMachine
Sympla > BIMachine
Cortex
Sympla > Cortex
Data Studio
Sympla > Data Studio
Geckoboard
Sympla > Geckoboard
Grafana
Sympla > Grafana
IBM Cognos Analytics
Sympla > IBM Cognos Analytics
Klipfolio
Sympla > Klipfolio
Looker Studio
Sympla > Looker Studio
Looker
Sympla > Looker
Looqbox
Sympla > Looqbox
Metabase
Sympla > Metabase
Microstrategy
Sympla > Microstrategy
Pentaho
Sympla > Pentaho
Power BI
Sympla > Power BI
Qlik Cloud Analytics
Sympla > Qlik Cloud Analytics
Qlik Sense
Sympla > Qlik Sense
Qlik
Sympla > Qlik
QlikView
Sympla > QlikView
Redash
Sympla > Redash
Superset
Sympla > Superset
Tableau
Sympla > Tableau
BI TOTVS
Sympla > BI TOTVS
Zoho Analytics
Sympla > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Sympla data to BigQuery automatically

How does the Sympla to BigQuery pipeline work? ▼
Kondado uses your Sympla API credentials to extract data from your events, participants, and orders, then loads this information into designated datasets within your BigQuery project. The platform handles schema mapping automatically, ensuring that fields like event dates and order values maintain their proper data types during transfer. You maintain full control over which pipelines are active and can pause or modify your replication settings at any time through the Kondado interface.
What specific data fields from Sympla are available in BigQuery? ▼
The replication includes 64 distinct fields across three pipelines: Events contains names, start and end dates, and publication status; Participants includes last names, email addresses, and unique ticket identifiers; Orders captures approval dates, transaction statuses, and total monetary values. Each field arrives in BigQuery as a structured column ready for SQL querying and joins with your existing business data.
How frequently can I update Sympla data in BigQuery? ▼
You control the replication timing by selecting intervals that match your business needs, from frequent updates suitable for live ticket monitoring to longer cycles for historical reporting. Each pipeline operates independently, allowing you to process Orders more often than Events if your financial tracking requires fresher data than your calendar planning.
Can I merge Sympla event data with Google Analytics in BigQuery? ▼
Yes, once your Sympla data resides in BigQuery, you can perform SQL joins with Google Analytics exports or any other data source stored in the same project. This allows you to correlate ticket purchases with website traffic patterns, creating unified reports that show which marketing channels drive actual event registrations and revenue.
What data types does Sympla use when stored in BigQuery? ▼
Sympla fields map to appropriate BigQuery data types: timestamps for event start and end dates, decimal values for order totals, boolean flags for publication status, and string fields for participant emails and identifiers. This automatic type preservation ensures your SQL queries run efficiently without requiring manual casting or data cleaning operations.
Is technical expertise required to set up Sympla BigQuery replication? ▼
The configuration process requires no SQL knowledge or API programming: you authenticate through Kondado's guided interface, map your desired pipelines, and specify your BigQuery project details using visual menus. Event managers and marketing analysts can complete the setup independently without submitting IT tickets or managing infrastructure.
Can I send Sympla data to Power BI or Looker Studio instead? ▼
While this page focuses on BigQuery, Kondado also supports sending Sympla data directly to Power BI, Looker Studio, and Google Sheets. You can even replicate to multiple destinations simultaneously, maintaining consistent datasets across your preferred analytics tools.
How do I build custom dashboards using Sympla data in BigQuery? ▼
After replication completes, write SQL queries to join your Sympla datasets with other tables in BigQuery, creating views that calculate metrics like attendee retention or revenue per event category. These views connect directly to visualization tools such as Looker Studio or Power BI, displaying current metrics without requiring data exports.

Try out all the features for free for 14 days