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 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.

Refer to the Destination data loading guides for a comprehensive look at how destinations will load data, including what may cause data to be rejected.

Amazon S3 (link)
No compatibility issues have been discovered between Amazon S3 and Stitch's integration offerings.
Google BigQuery v1 (link)
No compatibility issues have been discovered between this version (v1) of the Google BigQuery destination and Stitch's integration offerings.
Google BigQuery v2 (link)
No compatibility issues have been discovered between this version (v2) of the Google BigQuery destination and Stitch's integration offerings.
data.world (link)
No compatibility issues have been discovered between data.world and Stitch's integration offerings.
Microsoft Azure SQL Data Warehouse (link)
No compatibility issues have been discovered between Microsoft Azure SQL Data Warehouse and Stitch's integration offerings.
Panoply (link)
No compatibility issues have been discovered between Panoply and Stitch's integration offerings.
PostgreSQL (link)
Integration Version Level Reason
HubSpot ANY

Flattening nested JSON structures may result in tables and columns with names that exceed PostgreSQL’s character limit for object names:

  • 63 characters characters for tables
  • 59 characters characters for columns
Stripe ANY

Flattening nested JSON structures may result in tables and columns with names that exceed PostgreSQL’s character limit for object names:

  • 63 characters characters for tables
  • 59 characters characters for columns
Amazon Redshift (link)
Integration Version Level Reason
MongoDB ANY

Flattening nested JSON structures may result in tables with columns that exceed Amazon Redshift’s 1,600 column limit. Learn more.

MongoDB Atlas v1

Flattening nested JSON structures may result in tables with columns that exceed Amazon Redshift’s 1,600 column limit. Learn more.

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

Questions? Feedback?

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