Sympla + BigQuery

Sympla is a solution for managing and selling tickets for in-person and online events.

With Erathos, you can integrate Sympla data into BigQuery in just a few minutes. Our platform handles the entire data movement process to your serverless data warehouse and makes it possible to join that data with other sources. That way, your time is spent on what really creates value — extracting insights and making data-driven decisions.

Which Sympla data does Erathos sync with BigQuery?

The integration automatically syncs Sympla’s main objects:

  • Orders — status, amount, items, and shipping address

  • Products — SKU, price, inventory, and description

  • Customers — profile data, purchase history, and reviews

  • Payments — method, status, and amounts

  • Reviews — ratings, comments, and responses

  • Returns — reason, status, and refunded amount

Why sync Sympla with BigQuery?

In BigQuery, you can connect this data with product, revenue, and customer satisfaction metrics — blending sources with standard SQL and per-query billing. Native integration with Looker Studio, Vertex AI, and BQML enables advanced analytics without extra infrastructure.

How it works

Erathos connects to Sympla through the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the BigQuery destination. The sync uses incremental processing that handles only new or updated records — keeping BigQuery costs predictable. You choose the sync frequency, the objects to sync, and the target dataset. Each run is fully observable: runtime, rows processed, and alerts via Slack or email.

No credit card required.

Why do data teams choose Erathos for Sympla?

Sympla data in BigQuery in minutes

Sympla data in BigQuery in minutes

Sympla connector ready to use

Connect Sympla to BigQuery and automatically export your data. Centralize marketplace data for analysis — no spreadsheets, no scripts.

Full control over your Sympla pipelines

Configure sync schedule, frequency, and sync type at the table level. Configure sync schedule, frequency, and sync type at the table level. Incremental sync processes only new or changed records, keeping BigQuery costs low and your analytics always up to date.

End-to-end observability

Stop finding out about Sympla failures only when the business team starts complaining. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email the moment something goes off script — so your analytics always stay fresh.

No credit card required

No credit card required

Why companies move data from Sympla to BigQuery with Erathos

Centralizing Sympla data in BigQuery has never been easier

Erathos is a data ingestion platform built for operations and data teams. With the Sympla connector, you can automatically centralize operational data and metrics in BigQuery — always up-to-date data, full observability into every run, and zero maintenance.

Our Customers

Writing data-driven stories

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

1

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.

2

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

3

Select your data warehouse

Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Frequently Asked Questions

What is Erathos, and how can it help my business?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Sympla to their data warehouse — with full visibility into every run, zero maintenance, and none of the black-box behavior of traditional market tools.

What Sympla data does Erathos sync to BigQuery?

Erathos connects Sympla to your Data Warehouse, syncing orders, products, customers, inventory, reviews, and sales performance data incrementally and automatically.

How often does Erathos sync data from Sympla to BigQuery?

You can configure sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync — only new or updated records are processed in each run, keeping the Sympla pipeline efficient and BigQuery costs predictable.

What happens if a Sympla sync fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context — not just “job failed.” Smart retries handle transient errors, and every run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.

Is there a free trial period for the Sympla connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Sympla to BigQuery and start syncing right away — no credit card required.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale