- First, you need to register in ApiX-Drive
- Choose what data to transfer from LiveChat to BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from LiveChat to BigQuery
Integration LiveChat + BigQuery
Create integration of LiveChat and BigQuery yourself, without programmers
Other available integrations
LiveChat (154 available connectors)
BigQuery (245 available connectors)
Without restrictions
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Automation capabilities of
LiveChat and BigQuery
Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from LiveChat to BigQuery.
Transmit data at specified intervals from LiveChat to BigQuery.
Data source: LiveChat, available actions:
- Get DATA
Data receiver: BigQuery, available actions:
- Add ROW
F.A.Q. on integration of LiveChat and BigQuery
How is integration of LiveChat 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 LiveChat 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 LiveChat and BigQuery
Information about LiveChat
LiveChat online chat is designed for more effective communication with clients and their advice. The service provides users with the ability to customize both the appearance and the principles of the online consultant. It offers a wide range of tools for creating an online consulting service on a client's website or in his application. You can also communicate with users in LiveChat via Facebook Messenger. The system already has over 170 integrations and is constantly increasing their number. 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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