HubSpot - Icon

HubSpot

Salesforce Pardot - Icon

Salesforce Pardot

PostgreSQL-icon-color

PostgreSQL

Redshift - Icon

Redshift

Salesforce Marketing Cloud - Icon

Salesforce Marketing Cloud

SQL-Server

Microsoft SQL Server

Reltio - Icon

Reltio

Google BigQuery - Icon

Google BigQuery

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Remarkety

Amazon Athena - Icon

Amazon Athena

MySQL - Icon

MySQL

MongoDB - Icon

MongoDB

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IBM DB2

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Marketo

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Databricks

FreshService

Freshservice

PagerDuty - Full

PagerDuty

Ometria

Opal

MailChimp

Mailchimp

Delete email campaign

Delete list

List contact lists DDL

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

Raw HTTP request (advanced)

Send campaign immediately

Create contact

Create email campaign

Create list

Delete contact

Return information on a specific campaign.

Get campaign information

Get contact details

Get list

List all the available contact attributes in your account.

List contact attributes

List contact attributes DDL

List all the contact lists available in your account.

List contact lists

List contacts

List contacts DDL

List contacts ID DDL

List email campaigns

List email campaigns DDL

List folders

List folders DDL

List folders excluding current DDL

List normal contact attributes DDL

List sent email campaigns DDL

Move list

Send a PDF to the specified email addresses.

Send campaign report

Send an email campaign to your test list.

Send campaign to test list

Update the status of an individual campaign.

Update campaign status

Update contact

Update list name

List webhooks

Delete webhook

Webhook

Create webhook

SendinBlue

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Personalization is shifting from email to omni-channel. Are you ready?

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Automating Lead List Uploads: Mission-Critical, and Much Easier than You Think

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Jellyvision improves lead response speed, conversions, and win rate with automation

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Segment uses Tray Platform to unlock insights synced with every component of enterprise stack.

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Marketing

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Sendinblue

Marketing Automation Platform (MAP)

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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Learn How to Automate Your CSV and Flat File Management

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Developers

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Snowflake

Database

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Experiences

Capabilities

Foundation - Merlin AI and Enterprise Core

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Universal Automation Cloud

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Cvent migrates 500+ legacy integrations and achieves a 95% customer retention rate

Customer Spotlight

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A strategic platform with solutions for mission critical use cases

Solutions

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Beyond Finance reduces employee onboarding time from 10 days to 5 minutes

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Your journey to automation excellence starts here

Resources

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Sendinblue and Snowflake integration + automation

Popular Sendinblue and Snowflake integrations

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Snowflake

Tray is the leading AI ready integration and automation platform

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