Automation categoryCertified by Stitch

Learn more about syncing Zapier data

Documentation

Detailed documentation on how to start syncing Zapier data.

Zapier Documentation

Manual Instructions

How to extract data from Zapier and load it to Delta Lake on Databricks manually.

Zapier and load it to Delta Lake on Databricks manually.

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Start replicating your Zapier data

Select your integrations, choose your warehouse, and enjoy Stitch free for 14 days.

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Simplify your Delta Lake on Databricks migration

When it comes to replicating your data to Delta Lake on Databricks, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

This is where Stitch can help.

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All your data, where you need it

Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.

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Analysis Tools Asset
Stitch's interface is sleek and efficient. We only know it's running when it sends us alerts; otherwise, it does its job without bother.

Amaury Dumoulin

Data Lead, Qonto

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Why our customers choose Stitch

Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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Start replicating data in minutes, and never worry about ETL maintenance.
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Stitch replicates to your warehouse, meaning you’re always in control.
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Accurate data from any structure, all the time.
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Connect to your ecosystem of data sources

Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.