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Integration Timepad + BigQuery

Connect Timepad and BigQuery via web interface in 5 minutes, without programmers and special knowledge.
Timepad integration
BigQuery integration

Create integration of Timepad and BigQuery yourself, without programmers

Data source
Data receiver

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Automation capabilities of
Timepad and BigQuery

Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from Timepad to BigQuery.
Integration of Timepad and BigQuery
Data source: Timepad, available actions:
  • Get DATA
Data receiver: BigQuery, available actions:
  • Add ROW

F.A.Q. on integration of Timepad and BigQuery

How is integration of Timepad and BigQuery carried out?

  • First, you need to register in ApiX-Drive
  • Choose what data to transfer from Timepad to BigQuery
  • Turn on auto-update
  • Now the data will be automatically transferred from Timepad to BigQuery

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 Timepad 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 Timepad and BigQuery
Information about Timepad

The purpose of the Timepad service is to create and promote various offline and online events, as well as sell electronic tickets for them. Users have access to a variety of options, such as registering members, quickly withdrawing money received from ticket sales, attracting new members, as well as obtaining detailed statistics. At the same time, there are no restrictions on the scale of the event; the number of visitors to them can amount to tens or thousands. 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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