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Slack
BigQuery

Connect Slack and BigQuery integrations

Explore ready-made Slack and BigQuery templates and start automating in minutes.

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Create a custom workflow

Integrate Slack with BigQuery and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Slack
Trigger: Watch Direct Messages
BigQuery
Action: Select an action
1. Select a trigger

  • Triggers when a new message is added to a direct message channel.

  • Triggers when a new file is added.

  • Triggers when a new interactive event has arrived.

  • Triggers when a new message is added to a multiparty direct message channel.

  • Triggers when a new message or another event is created.

  • Triggers when a new message is added to a private channel.

  • Triggers when a new message is added to a public channel.

  • Triggers when a new message is scheduled.

  • Triggers when a new user is added or an existing user has changed. Only emit the latest change since the last scenario run.

2. Select an action

  • Creates a new dataset.

  • Creates a new, empty table in the dataset.

  • Deletes the dataset specified by ID.

  • Deletes the table specified by ID.

  • Returns the dataset specified by dataset ID.

  • Gets the specified table resource by table ID.

  • Retrieves results of a specified query.

  • Performs an arbitrary authorized API call.

  • Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.

  • Updates information in an existing dataset.

  • Updates information in an existing table.

  • Uploads a new file.

  • Creates a new row of data in a table.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Slack and BigQuery.

Add a Reaction
Adds a reaction to a message.
Action
Add a Star
Adds a star to a channel.
Action
Archive a Channel
Archives a channel.
Action
Create a Channel
Creates a channel.
Action
Create a Dataset
Creates a new dataset.
Action
Create a Reminder
Creates a reminder.
Action
Create a Table
Creates a new, empty table in the dataset.
Action
Delete a Dataset
Deletes the dataset specified by ID.
Action
Delete a File
Deletes a file.
Action
Load more

Popular Slack and BigQuery workflows

Connect Slack and BigQuery with Make. Automate manual tasks, sync real-time data, and build more efficient workflows.

App Families

Send a message to Slack for every new query result written to Google BigQuery

Automatically send a Slack message for every new query result written to Google BigQuery, keeping your team updated in real-time.

Send a message to Slack for every new query result written to Google BigQuery
Use template
App Families

Get Slack notifications when new BigQuery jobs successfully completed

Every time a new job has been completed in BigQuery, Make will automatically send a notification message to a specified channel/chat in Slack.

Get Slack notifications when new BigQuery jobs successfully completed
Use template

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.