- First, you need to register in ApiX-Drive
- Choose what data to transfer from Trafft to BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from Trafft to BigQuery
Integration Trafft + BigQuery
Create integration of Trafft and BigQuery yourself, without programmers
Other available integrations
Trafft (154 available connectors)
BigQuery (245 available connectors)
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Automation capabilities of
Trafft and BigQuery
Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from Trafft to BigQuery.
Transmit data at specified intervals from Trafft to BigQuery.
Data source: Trafft, available actions:
- Get DATA
Data receiver: BigQuery, available actions:
- Add ROW
F.A.Q. on integration of Trafft and BigQuery
How is integration of Trafft and BigQuery carried out?
How long does the integration take?
Depending on the system you want to integrate, the setup time may vary from 5 to 30 minutes. On average, it takes 10-15 minutes.
How much does it cost to integrate Trafft with BigQuery?
You don't need to pay for the integration, as all the functionality is available at all plans. You pay only for the amount of data transferred from one of your systems to another through our service. If you have a small amount of data per month, you can use a free plan and switch to a paid one, if necessary. More information about plans .
How many integrations are available in Apix-Drive?
At the moment, we have 268+ integrations beside Trafft and BigQuery
Information about Trafft
Trafft helps entrepreneurs and businesses automate bookings, payments and reminders. It provides an online booking system with flexible options for using it. Among the main tools of the service are booking forms embedded on the site, separate sites for bookings, as well as customization options for such forms or sites. Users can edit booking data fields, automatically change time zones, manage customer profiles, share bookings, add them to an online calendar, and add custom domains for booking sites. More
Information about BigQuery
The purpose of the BigQuery service is a quick and detailed analysis of the big data owned by the service. This is a great solution when traditional tools like Google Analytics are clearly not enough. To use BigQuery, an enterprise does not need to invest in expensive systems, and the cost of using the service depends on the amount of data available. The presence of SQL support and detailed documentation will allow beginners who already have experience working with a DBMS to quickly figure out the basics of the service. More
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