HubSpot - Icon

HubSpot

Salesforce Pardot - Icon

Salesforce Pardot

SQL-Server

Microsoft SQL Server

Google BigQuery - Icon

Google BigQuery

Firebase - Icon

Firebase

Salesforce Marketing Cloud - Icon

Salesforce Marketing Cloud

Amazon Athena - Icon

Amazon Athena

MongoDB - Icon

MongoDB

Marketo - Icon

Marketo

Klaviyo - Icon

Klaviyo

Redshift - Icon

Redshift

PostgreSQL-icon-color

PostgreSQL

Databricks - Icon

Databricks

MySQL - Icon

MySQL

FreshService

Freshservice

IBMDB2-icon-color

IBM DB2

PagerDuty - Full

PagerDuty

Azure Blob Storage - Icon

Microsoft Azure Blob Storage

MailChimp

Mailchimp

Opal

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

MongoDB-Logo

How to integrate MongoDB

postgresql-logo

How to integrate PostgresSQL

aws redshift

How to integrate Amazon Redshift

flow-data-between-csv-and-your-stack-with-csv-processor blog post cover image

flow-data-between-csv-and-your-stack-with-csv-processor

Learn How to Automate Your CSV and Flat File Management

Connector Department - Developers - Cards

New Relic - Full - Dark

New Relic - Anonymous

Developers

Snowflake - Icon

Snowflake

Database

Adds new contacts to an existing Contactlist.

Add contact to contact list

Looks up a specific contact in a segment. If the segment includes the contact, returns true, otherwise returns false.

Check for user in segment

Creates an external event with the specified name.

Create external event

Creates a new field in the contact database. Please note that you cannot create single- or multi-choice fields via the API, nor can you create more than one field at a time.

Create field

Returns the field values of the contacts specified by either their internal identifiers or by a custom property. It is recommended to use the id or uid fields to identify contacts in order to avoid conflicts when using a non-unique field, such as email.

Get contact data

Returns a list of the available Contactlists.

List contact lists

List contact lists DDL

Looks up contacts in the specified Contactlist.

List contacts in contact list

List fields

List fields DDL

List key IDs DDL

Generates a list of the available segments.

List segments

List segments DDL

Retrieves a list of all available options for any given single field.

List single choice field choices

List single fields 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 the values of the specified field as well as the related contact identifiers (id).

Search contacts

Activates a named external event trigger for a specified contact.

Trigger external event

Updates multiple contacts, or creates them if they do not exist.

Update contacts

Tray-IO Blog 6

The ultimate guide to automating the entire lead lifecycle

The State of Marketing technology eBook by Tray.io

tray-aberdeen-report-marketing-tech

Aberdeen Report: Marketing technology—controlling the chaos

BLOG - Hot Topic

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

hot-topics-blog-header-3@2x

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

Jellyvision - Card

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

segment-color-logo

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

Connector Department - Marketing - Cards

DigitalOcean - Full - Dark

David Dorman of Digital Ocean works with Tray.io

David Dorman - DigitalOcean

DigitalOcean - David Dorman

Marketing

Emarsys - Icon

Emarsys

Marketing Automation Platform (MAP)

Watch the demo CTA Item - Used in main nav

Navigation CTA - Get Started

Product - Experiences

Product - Capabilities

Product - Platform Features

See Pricing / see packages

TUAC Platform Menu Packaging CTA - Option B

Enabling your entire organization to deliver on the promise of automation

Universal Automation Cloud

logo - ibm

IBM gets 95% boost in data delivery and reporting using the Tray.io Universal Automation Cloud

Customer Spotlight

UAC Solutions - By Team

UAC Solutions - By Use Case

TUAC Solutions - by application column - view all connectors CTA

UAC Solutions - By Application

A strategic platform with solutions for mission critical use cases

Solutions

Tuac Solutions Customer Spotlight: mixpanel cta item

Tuac Solutions Customer Spotlight: mixpanel cta

Mixpanel - White - Full

Mixpanel accelerates mission-critical order-to-cash process by 25%

Resources - Learn & Evaluate

Resources - Success

Resources - Company

Your journey to automation excellence starts here

Resources

TUAC Resources Spotlight - Eventbrite

TUAC Resources Customer Spotlight

Eventbrite - White - Full

Eventbrite accelerates high-quality integration delivery at scale and lifts customer satisfaction

See all our connectors (Tertiary)

Similar connectors to Snowflake and Emarsys

Connector Awards

Tray.io is the leader in low-code automation

Details - Single & Double

"Request 1:1 demo" -> Demo LP [Primary style] | MAIN SITEWIDE CTA

MAIN SITEWIDE CTA | Demo Landing Page

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

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

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

Snowflake and Emarsys integration + automation

Popular Snowflake and Emarsys integrations

Snowflake and Emarsys Connector Details

Snowflake

Emarsys

Tray.io is the leader in low-code automation

Similar connectors to Snowflake and Emarsys