Grafana

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Postmates

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Zuora

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Google BigQuery

Appcues

SQL-Server

Microsoft SQL Server

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Amazon Athena

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PostgreSQL

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MySQL

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MongoDB

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PagerDuty

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IBM DB2

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Redshift

FreshService

Freshservice

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Firebase

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Databricks

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ClickUp

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Reltio

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Constant Contact

Create comment

Create story

Create task

Delete comment

Delete story

Delete task

Get comment

Return information about the selected epic.

Get epic

Returns information about the selected Project.

Get project

Returns information about a chosen Story based on its ID.

Get story

Return a list of all Epics and their attributes.

List epics

Get task

List epics DDL

Returns information about members of the organization.

List members

List members DDL

Returns a list of all Projects and their attributes.

List projects

List projects DDL

Returns a list of all Stories in a selected Project and their attributes.

List stories

Returns a list of workflows in the organization.

List workflows

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

Raw HTTP request (advanced)

List stories DDL

List story comments DDL

List story tasks DDL

Update comment

Update story

Update task

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Product

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Contact Management

Product Management

Custom query

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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How to integrate MongoDB

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How to integrate PostgresSQL

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How to integrate Amazon Redshift

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Developers

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Snowflake

Database

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Capabilities

Foundation - Merlin AI and Enterprise Core

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Customer Spotlight

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See all our connectors (Tertiary)

Similar connectors to Clubhouse and Snowflake

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Tray is the leading AI ready integration and automation platform

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

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

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

Clubhouse and Snowflake integration + automation

Popular Clubhouse and Snowflake integrations

Clubhouse and Snowflake Connector Details

Clubhouse

Snowflake

Tray is the leading AI ready integration and automation platform

Similar connectors to Clubhouse and Snowflake