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Redshift

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PostgreSQL

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Reltio

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Microsoft SQL Server

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Google BigQuery

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Amazon Athena

Datadog

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MySQL

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Google Analytics

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Databricks

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Verve

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Contentsquare Raw Data API

Add operations to an offline user data job.

Add operations to offline user data job

Create offline user data job

Custom query

Describe resource type

Get offline user data job status

List all accessible customers/accounts upon your current credentials.

List customers

List customers DDL

List resource type fields DDL

List resource type metrics DDL

List resource type segments DDL

List resource types DDL

List resources

List service fields DDL

Mutate resources for a service, this includes operations such as create, update, and delete.

Mutate resources

Perform a raw HTTP request with some pre-configuration and processing by the connector, such as authentication.

Raw HTTP request (advanced)

Run offline user data job

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Create a new named internal or external stage to use for loading data from files into Snowflake tables and unloading data from tables into files.

Create stage

List table columns DDL

Modifies the properties for an existing schema, including renaming the schema or swapping it with another schema, and changing the Time Travel data retention period (if you are using Snowflake Enterprise Edition or higher).

Update schema

Modifies the properties for an existing named internal or external stage.

Update stage

Modifies the properties, columns, or constraints for an existing table.

Update table

Suspends or resumes a virtual warehouse, or aborts all queries (and other SQL statements) for a warehouse. Can also be used to rename or set/unset the properties for a warehouse.

Update warehouse

Unload data from a table (or query) into one or more files in a named internal stage, a named external stage or an external stage.

Unload data from table

This operation can be used to query Snowflake data loading history along various dimensions within the last 7 days.

List copy history

Create database

Create schema

Create table

Creates a new virtual warehouse in the system. Creating a warehouse includes specifying its size. Initial creation of a warehouse may take some time to provision the servers, unless the warehouse is set to be created initially in a SUSPENDED state.

Create warehouse

Delete database

Removes files that have been staged (i.e. uploaded from a local file system or unloaded from a table)

Delete files from stage

Delete rows from the target table using optional query and additional (non-target) tables.

Delete rows from table

Delete a schema from the current or specified database.

Delete schema

Removes the specified named internal or external stage from the current/specified schema. The status of the files in the stage depends on the stage type.

Delete stage

Delete a table from the current or specified schema.

Delete table

Removes the specified virtual warehouse from the system.

Delete warehouse

Updates a table by inserting one or more rows into the table.

Insert rows in table

Lists the databases for which you have access privileges, including the dropped databases that are still within the Time Travel retention period.

List databases

List files in stage

Lists the schemas for which you have access privileges, including the dropped schemas that are still within the Time Travel retention period.

List schemas

Lists the stages for which you have access privileges.

List stages

List table rows

Lists the tables for which you have access privileges, including the dropped tables that are still within the Time Travel retention period.

List tables

Lists the warehouses for which you have access privileges.

List warehouses

Load data from staged files to an existing table. The files must already be staged.

Load data to table

Modifies the properties for an existing database, including changing the name of the database and changing the Time Travel data retention period (if you are using Snowflake Enterprise Edition or higher).

Update database

Updates specified rows in the target table with new values.

Update row in table

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Similar connectors to Google Ads and Snowflake

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Google Ads and Snowflake integrations couldn’t be easier with the Tray platform’s robust Google Ads and Snowflake connector, which connects any services without the need for separate integration tools.

Google Ads and Snowflake integrations couldn’t be easier with the Tray platform’s robust Google Ads and Snowflake connectors, which can connect to any service without the need for separate integration tools.

Integrate Google Ads and Snowflake with any SaaS application or service using the Tray platform’s generic connectivity options, such as the HTTP Client, Webhook Trigger, and our Connector Builder. Configure them to connect to Google Ads and Snowflake and any other API, database, webhook, and more.

Google Ads and Snowflake integration + automation

Google Ads and Snowflake Connector Details

Popular Google Ads and Snowflake integrations

Google Ads and Snowflake templates