When selecting a destination, it’s important to first verify that all the data sources you want to connect to Stitch will be compatible.

As Stitch currently allows only one destination per account, we recommend verifying your integrations’ compatibility before connecting a destination. This will ensure that you can successfully connect and replicate data from all your sources.


Degrees of Incompatibility

The compatibility of any integration/destination combination falls into one of three categories: always compatible, sometimes compatible, and never compatible.

The matrices below use the following icons to indicate the degree of incompatibility for an integration/destination combo:

  • indicates that, as far as we know, this combo is always compatible.
  • indicates that this combo is sometimes compatible - there may be compatibility issues, but they’re infrequent or parts of the integration may still be usable.
  • indicates that this combo is never compatible. It’s unlikely that Stitch will be able to load data from this integration into the given destination.

Incompatible Integrations by Destination Type

Below you’ll find a list of integrations that may have full or partial incompatibility with any of Stitch’s destination offerings.

BigQuery

For a comprehensive look at how BigQuery will load data - including what may cause data to be "rejected" - refer to the BigQuery Data Loading Guide.

No compatibility issues have been discovered between BigQuery and Stitch's integration offerings.

Panoply

For a comprehensive look at how Panoply will load data - including what may cause data to be "rejected" - refer to the Panoply Data Loading Guide.

Integration Level Reason for Incompatibility
MongoDB As a result of the de-nesting Stitch performs on nested structures, deeply nested data in Mongo may result in tables that exceed Panoply’s 1,600 column limit.

PostgreSQL

For a comprehensive look at how PostgreSQL will load data - including what may cause data to be "rejected" - refer to the PostgreSQL Data Loading Guide.

Integration Level Reason for Incompatibility
Facebook Ads Tables created as a result of de-nesting nested data will have names that exceed PostgreSQL’s limit of 63 characters. PostgreSQL data warehouses will always reject these tables as a whole, meaning Stitch will be unable to load them.
Stripe Tables and columns created as a result of de-nesting nested data may have names that exceed PostgreSQL’s limit of 63 characters for tables and 59 characters for columns. PostgreSQL data warehouses will reject these tables and columns, meaning Stitch will be unable to load them.

Redshift

For a comprehensive look at how Redshift will load data - including what may cause data to be "rejected" - refer to the Redshift Data Loading Guide.

Integration Level Reason for Incompatibility
MongoDB As a result of the de-nesting Stitch performs on nested structures, deeply nested data in Mongo may result in tables that exceed Panoply’s 1,600 column limit.

Snowflake

For a comprehensive look at how Snowflake will load data - including what may cause data to be "rejected" - refer to the Snowflake Data Loading Guide.

No compatibility issues have been discovered between Snowflake and Stitch's integration offerings.


Full Destination/Integration Compatibility Matrix

For a comprehensive look at the compatibility of all Stitch's integrations and destinations, check out the matrix below.

BigQuery
Panoply
PostgreSQL
Redshift
Snowflake
AdRoll
AfterShip
Amazon Aurora
Autopilot
Braintree
Branch
Close.io
Contentful
Customer.io
Delighted
Desk
Drip
Facebook Ads
FormKeep
Freshdesk
GitLab
Google Adwords (Google Analytics)
Google Analytics
Google CloudSQL MySQL
Google CloudSQL PostgreSQL
Google ECommerce
Harvest
Heroku
HubSpot
Import API
Intercom
Iterable
JIRA
Magento
Mailjet
Mandrill
MariaDB
Marketo
Microsoft Azure
Microsoft SQL Server
Mixpanel
MongoDB
MySQL
NetSuite
Outbrain
Pardot
Particle.io
Pipedrive
PostgreSQL
QuickBooks
Recurly
Referral SaaSquatch
Salesforce
Segment
SendGrid
SendWithUs
Shippo
Shopify
SparkPost
Square
Stitch Incoming Webhooks
Stripe
Taboola
Trello
Urban Airship
Vero
Wootric
Xero
Zapier
Zendesk
Zendesk Chat (Zopim)
Zuora



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Tags: destinations