Data & Analytics
Stitch
Simple, powerful ETL service built for developers — replicate data from SaaS tools to your warehouse
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Data Pipeline
About Stitch
Stitch is a cloud ETL service for developers and data teams that replicates data from SaaS tools and databases into a data warehouse, now part of Qlik. It offers more than 130 connectors for sources such as Salesforce, HubSpot, Google Analytics, Stripe, MySQL and Postgres, and loads the data into warehouses like Snowflake, BigQuery and Redshift.
Stitch is designed to be simple: you connect a source, choose a destination and Stitch keeps the data in sync on a schedule, with no pipelines to maintain. It is extensible through the open-source Singer standard, so developers can build or use community connectors. As part of Qlik, it fits into a broader data integration and analytics platform.
Good fit if you: want a straightforward, managed way to get SaaS and database data into your warehouse.
Less ideal if you: need very large connector coverage or complex transformations; larger ELT platforms offer more.
Pricing: paid plans based on rows replicated, with a free trial.
Stitch is designed to be simple: you connect a source, choose a destination and Stitch keeps the data in sync on a schedule, with no pipelines to maintain. It is extensible through the open-source Singer standard, so developers can build or use community connectors. As part of Qlik, it fits into a broader data integration and analytics platform.
Good fit if you: want a straightforward, managed way to get SaaS and database data into your warehouse.
Less ideal if you: need very large connector coverage or complex transformations; larger ELT platforms offer more.
Pricing: paid plans based on rows replicated, with a free trial.
Frequently Asked Questions
What does Stitch do?
Stitch replicates data from SaaS apps and databases into data warehouses such as Snowflake, BigQuery and Redshift.
Who owns Stitch?
Stitch is part of Qlik.
Is Stitch free?
Stitch offers a free trial; ongoing use is paid based on volume.
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