- First, you need to register in ApiX-Drive
- Choose what data to transfer from BotHelp to BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from BotHelp to BigQuery
This integration will be disabled soon, switch to analogs!
Integration BotHelp + BigQuery
Create integration of BotHelp and BigQuery yourself, without programmers
Other available integrations
BotHelp (154 available connectors)
BigQuery (246 available connectors)
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Automation capabilities of
BotHelp and BigQuery
Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from BotHelp to BigQuery.
Transmit data at specified intervals from BotHelp to BigQuery.
Data source: BotHelp, available actions:
- Get DATA
Data receiver: BigQuery, available actions:
- Add ROW
F.A.Q. on integration of BotHelp and BigQuery
How is integration of BotHelp 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 BotHelp 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 BotHelp and BigQuery
Information about BotHelp
With the help of the Whatshelp platform, users can connect their accounts in messengers and social networks to a single center and communicate with customers using the provided marketing tools. This includes replies templates, polls, mailings, chat bots, creating mini-landing pages with high conversions, and much more. The number of messengers that can connect to the platform is not limited. 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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