Integration Gyazo + Google BigQuery

Connect Gyazo and Google BigQuery via web interface in 5 minutes, without programmers and special knowledge.
Gyazo integration
Google BigQuery integration

Create integration of Gyazo and Google BigQuery yourself, without programmers

Data source
Data receiver

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Automation capabilities of
Gyazo and Google BigQuery

Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from Gyazo to Google BigQuery.
Integration of Gyazo and Google BigQuery
Data source: Gyazo, available actions:
  • Get IMAGES (new)
Data receiver: Google BigQuery, available actions:
  • Add ROW

F.A.Q. on integration of Gyazo and Google BigQuery

How is integration of Gyazo and Google BigQuery carried out?

  • First, you need to register in ApiX-Drive
  • Choose what data to transfer from Gyazo to Google BigQuery
  • Turn on auto-update
  • Now the data will be automatically transferred from Gyazo to Google BigQuery

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 Gyazo 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 283+ integrations beside Gyazo and Google BigQuery
Information about Gyazo

Gyazo captures screenshots and videos from your screen with instant cloud upload and shareable links. The tool works through custom hotkeys, right-click menus, or drag-and-drop to grab content without interrupting your workflow. Collections help organize captures by theme, with group collaboration options for teams. OCR recognizes text in images so you can search by words found in screenshots. Tagging and notes make it easy to find old captures later. Metadata search looks through app names, URLs, and descriptions. Basic editing adds arrows and text to images or trims videos before sharing. More

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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