Salesforce-icon-color

Salesforce

Microsoft Dynamics 365 - Icon

Microsoft Dynamics 365

Asana-icon-color

Asana

Google Sheets - Icon

Google Sheets

Monday-icon-color

Monday

PostgreSQL-icon-color

PostgreSQL

Redshift - Icon

Redshift

Airtable-icon-color

Airtable

SQL-Server

Microsoft SQL Server

Reltio - Icon

Reltio

RUUM-icon-color

ruum by SAP

SalesforceIQ-icon-color

SalesforceIQ

Google BigQuery - Icon

Google BigQuery

ConnectWise - Icon

ConnectWise

Amazon Athena - Icon

Amazon Athena

MySQL - Icon

MySQL

Mindbody - Icon

Mindbody

Copper - Icon

Copper

MongoDB - Icon

MongoDB

IBMDB2-icon-color

IBM DB2

Delete contact

Get order

Create a new contact. A contact may represent a single individual or an organization.

Create contact

Delete deal

Delete lead

Delete product

List deal associated contacts

Create call

Create deal

Returns all deals available to the user according to the parameters provided.

Create lead

Create a new note and associate it with a Lead, Contact or Deals resource

Create note

Create order

Create product

Delete call

Returns a stream of events for a specific resource

Firehose

Get call

Get contact

Returns a single deal available to the user, according to the unique deal ID provided. If the specified deal does not exist, the request will return an error.

Get deal

Get lead

Get user

List call outcomes

List call outcomes DDL

List calls

Return all static and custom fields for the Contact resource.

List contact fields

List contact fields DDL

Returns all contacts available to the user according to the parameters provided.

List contacts

List deals

Return all static and custom fields for the Lead resource.

List lead fields

List lead fields DDL

Returns all leads available to the user, according to the parameters provided.

List leads

Returns all line items associated to order.

List line items

List orders

Returns all pipelines available to the user, according to the parameters provided.

List pipelines

Returns all products from the catalog according to the parameters provided.

List products

List users

List users DDL

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

Raw HTTP request (advanced)

Search resources

Update call

Update contact

Update deal

Update lead

Update product

Create a new contact or update an existing, based on a value of a filter or a set of filters. At least a single filter - query parameter - is required. If no parameters are present, the request will return an error. Behaviour: If multiple contacts match a set of filters, the request will return an error - 409. If a single contact matches, then the existing contact is updated. If none matches the query, a new contact is created. Notice: Use Upsert API, instead of Create or Update, to avoid creating unwanted, duplicated records. Also very useful if you want Zendesk Sell to carry external system ids - stored as custom fields.

Upsert contact

Create a new deal or update an existing, based on a value of a filter or a set of filters. At least a single filter - query parameter - is required. If no parameters are present, the request will return an error. Behaviour: If multiple deals match a set of filters, the request will return an error - 409. If a single deal matches, then the existing deal is updated If none matches the query, a new deal is created. Notice - Use Upsert API, instead of Create or Update, to avoid creating unwanted, duplicated records. Also very useful if you want Zendesk Sell to carry external system ids - stored as custom fields.

Upsert deal

Create a new lead or update an existing, based on a value of a filter or a set of filters. At least a single filter - query parameter - is required. If no parameters are present, the request will return an error. Behaviour: If multiple leads match a set of filters, the request will return an error - 409. If a single lead matches, then the existing lead is updated. If none matches the query, a new lead is created. Notice: Use Upsert API, instead of Create or Update, to avoid creating unwanted, duplicated records. Also very useful if you want Zendesk Sell to carry external system ids - stored as custom fields.

Upsert lead

LEAD-LIFECYCLE

How to Automate Lead-to-Account Matching

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

Streamline strategic sales with an automated deal desk

sales marketing mix

Sales ops best practices

pipedrive-color-logo

Pipedrive's CRM integrates with the Tray Platform to provide full visibility for sales activities and connect them to all other components of the sales & marketing stack.

Intercom - Card

Intercom unlocks new efficiencies with sales automation

Quickly operationalize outbound strategy by auto-uploading accounts + leads to your CRM

Connector Department - Sales - Cards

Udemy - Full - Dark

Udemy - Anonymous

Sales

Zendesk Sell

Project Management

Customer Relationship Management (CRM)

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

"Request a trial" -> Trial LP [Primary] | MAIN SITEWIDE CTA

MAIN SITEWIDE CTA | Trial Landing Page

Experiences

Capabilities

Foundation - Merlin AI and Enterprise Core

CTA - Universal Automation Cloud LP - "Learn more" - Secondary

Universal Automation Cloud

CTA - Cvent case study - "Show me how" - Primary 

cvent-logo-white

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

Zendesk Sell and Snowflake integration + automation

Popular Zendesk Sell and Snowflake integrations

Zendesk Sell and Snowflake Connector Details

Zendesk Sell

Snowflake

Tray is the leading AI ready integration and automation platform

Similar connectors to Zendesk Sell and Snowflake