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Amazon Redshift
Google Gemini AI

Connect Amazon Redshift and Google Gemini AI

Explore ready-made Amazon Redshift and Google Gemini AI templates and start automating in minutes.

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Create a custom workflow

Integrate Amazon Redshift with Google Gemini AI 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.

Google Gemini AI
Trigger: Watch events
Amazon Redshift
Action: Select an action
1. Select a trigger

  • Triggers when a long running task has finished.

2. Select an action

  • Delete records based on SQL WHERE query

  • Retrieve records based on SQL WHERE query

  • Insert a new record in Redshift

  • Update records based on SQL WHERE query

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Amazon Redshift and Google Gemini AI.

Create a file search store
Creates a new file search store.
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
Delete Records
Delete records based on SQL WHERE query
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
Generate a video
Generates a video using the general purpose Gemini model family.
Action
Generate a video (Veo) (deprecated)
Generates a video using the Veo models.
Action
Generate an image
Generates an image using Gemini's image generation capabilities.
Action
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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.