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Microsoft SQL Server

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Google BigQuery

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Firebase

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Amazon Athena

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Databricks

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MongoDB

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MySQL

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Freshservice

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PostgreSQL

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PagerDuty

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Clearbit

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IBM DB2

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Redshift

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Google Cloud Storage

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Crunchbase

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Reltio

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Microsoft Azure Blob Storage

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Mode

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MongoDB Cloud

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Datanyze

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

Removes the specified virtual warehouse from the system.

Delete warehouse

List table columns DDL

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

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

Custom query

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

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

Insert rows in table

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

List copy history

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

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

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

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

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How to integrate Amazon Redshift

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Snowflake

Database

Generates a batch identifier to create an export job for all your member profile data.

Create batch ID

Create member value

Create member variable

Create member variable value

Download batched member data

Retrieves the status and download link of the batch member data export.

Get batch download link

Get member value

Get member variable

Retrieves a specific Member Variable Value.

Get member variable value

List member values

List member values DDL

Retrieves a collection of Member Values for specific point in time.

List member values for timeframe

Retrieves a collection of Member Variable Values.

List member variable values

List member variable values DDL

Retrieves a collection of Member Variable Values for specific Member Variable.

List member variable values for variable

List member variable values for variable DDL

Retrieves a collection of Member Variabls.

List member variables

List member variables DDL

List members

List members DDL

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

Raw HTTP request (advanced)

Modifies a Member Variable. The entire entity has to be provided, empty fields will be overwritten by default values.

Update member variable

Modifies a Member Variable Value. The entire entity has to be provided, empty fields will be overwritten by default values.

Update member variable value

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Alida

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

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

Integrate Snowflake and Alida 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 Snowflake and Alida and any other API, database, webhook, and more.

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