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WordPress

Jira

Apache Kafka

SQL-Server

Microsoft SQL Server

AWSS3

AWS S3

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GitLab

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Databricks

Azure Dev Ops

Azure DevOps

Jenkins

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Firebase

AWS SQS

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Freshservice

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Google BigQuery

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Amazon Athena

FileMaker

Filemaker Pro

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MySQL

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FTP Client

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PostgreSQL

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Algolia

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GitHub

Create issue

Create issue attachment

Create issue comment

Create issue link

Create version

Delete an issue from your Jira account. Optionally also delete the attached subtasks.

Delete issue

Download an attachment by providing its ID.

Download issue attachment

Returns the metadata for an attachment. Note that the attachment itself is not returned.

Get attachment metadata

Get comment property

Get details of an issue, using the issue's unique ID or Key.

Get issue

Get a user from Jira, either by their username or their user "key".

Get user

Get information about the current authenticated user.

Get user info

Get version

List assignable users DDL

List issue comments

List issue fields DDL

List issue link types DDL

List issue transitions DDL

List issue types DDL

Returns all worklogs for an issue. Time tracking must be enabled in Jira, otherwise this operation returns an error.

List issue worklogs

List priorities DDL

List project IDs DDL

Get a list of all of the issues in a project.

List project issues

List project keys DDL

List project statuses DDL

List project versions DDL

Returns all projects which are visible for the currently logged in user. If no user is logged in, it returns the list of projects that are visible when using anonymous access.

List projects

List resolutions DDL

List resources DDL

Lists all the issues in a specific sprint.

List sprint issues

List statuses DDL

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

Raw HTTP request (advanced)

Returns a list of users that match the search string.

Search Users

Search issues (JQL)

Transition issue

Update issue

Update version

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How to integrate Amazon Redshift

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Jira Cloud

Developer Tools

Create database

Create schema

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

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

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

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 columns DDL

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

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

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

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

Integrate Jira Cloud 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 Jira Cloud and Snowflake and any other API, database, webhook, and more.

Jira Cloud and Snowflake integration + automation

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Similar connectors to Jira Cloud and Snowflake