- First, you need to register in ApiX-Drive
- Choose what data to transfer from Chatfuel to BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from Chatfuel to BigQuery
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Integration Chatfuel + BigQuery
Create integration of Chatfuel and BigQuery yourself, without programmers
Other available integrations
Chatfuel (154 available connectors)
BigQuery (237 available connectors)
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Automation capabilities of
Chatfuel and BigQuery
Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from Chatfuel to BigQuery.
Transmit data at specified intervals from Chatfuel to BigQuery.
Data source: Chatfuel, available actions:
- Get DATA
Data receiver: BigQuery, available actions:
- Add ROW
F.A.Q. on integration of Chatfuel and BigQuery
How is integration of Chatfuel 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 Chatfuel 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 258+ integrations beside Chatfuel and BigQuery
Information about Chatfuel
Chatfuel specializes in creating bots for Facebook Messenger communication. Chatfuel appeared on the market in 2015 and today is considered one of the most popular systems in its niche. The platform allows you to set up automated advertising campaigns through Facebook Messenger, collect leads, organize an automatic sales system, answer the most frequently asked customer questions, and much more. The service offers several tariff plans, including a free one with a limited number of subscribers. 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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