- First, you need to register in ApiX-Drive
- Choose what data to transfer from Sendpulse CRM to Google BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from Sendpulse CRM to Google BigQuery
Integration Sendpulse CRM + Google BigQuery
Connect Sendpulse CRM and Google BigQuery via web interface in 5 minutes, without programmers and special knowledge.
Create integration of Sendpulse CRM and Google BigQuery yourself, without programmers
Other available integrations
Sendpulse CRM (154 available connectors)
Google BigQuery (246 available connectors)
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Automation capabilities of
Sendpulse CRM and Google BigQuery
Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from Sendpulse CRM to Google BigQuery.
Transmit data at specified intervals from Sendpulse CRM to Google BigQuery.
Data source: Sendpulse CRM, available actions:
- Get CONTACTS (new)
Data receiver: Google BigQuery, available actions:
- Add ROW
F.A.Q. on integration of Sendpulse CRM and Google BigQuery
How is integration of Sendpulse CRM and Google 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 Sendpulse CRM with Google 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 Sendpulse CRM and Google BigQuery
Information about Sendpulse CRM
Information about Google 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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