- First, you need to register in ApiX-Drive
- Choose what data to transfer from Asana to BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from Asana to BigQuery
Integration Asana + BigQuery
Create integration of Asana and BigQuery yourself, without programmers
Other available integrations
Asana (245 available connectors)
BigQuery (245 available connectors)
Without restrictions
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Automation capabilities of
Asana and BigQuery
Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from Asana to BigQuery.
Transmit data at specified intervals from Asana to BigQuery.
Data source: Asana, available actions:
- Get TASKS (modified)
- Get TASKS (new)
- Get SUBTASKS (new)
- Get USERS (new)
- Get PROJECTS (new)
Data receiver: BigQuery, available actions:
- Add ROW
F.A.Q. on integration of Asana and BigQuery
How is integration of Asana 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 Asana 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 Asana and BigQuery
Information about Asana
The Asana project management system is designed for small and medium-sized teams. Users are provided with everything they need to run small projects - the ability to create workspaces with separate tasks. Users can exchange messages and files, perform other actions, depending on their permissions. The developers put special emphasis on the fact that Asana allows you to lead projects without the need to use email. The service, introduced in 2011, is highly popular and is successfully used by many well-known companies. 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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