"We chose Stitch because it was easy to implement and straightforward to manage, even for non-developers."

"We simply connected it to our various data sources and started ingesting data into the warehouse simple."

“Stitch is perfect for us. It’s simple, and that is exactly what we needed.”

“It took us literally couple of minutes to integrate with Shopify, It would have taken days to manually write code to extract data from the Shopify API and load it into our data warehouse.”

"It’s just so easy to use. It works perfectly."

“Stitch allowed us to set up a data pipeline within a day. The quick turnaround time allowed us to gather insights almost near real time.”

"By using Stitch we saved hundreds of developer hours that would have been necessary to implement the data integrations ourselves."

“Stitch got the two datasources we wanted in Redshift, plus all of our AdWords & HubSpot data which we didn't even think was possible.”

"To extract data from AppsFlyer without Singer would have meant writing a script that runs on a schedule, pulls from the API, and pushes to Kinesis. The tap we wrote is just as simple, but because it's built with Singer it can be run inside Stitch, and now we don’t …

“Getting Stitch set up was really easy. Everything has just worked beautifully and magically.”

"Stitch gives us more time to focus on the things that matter – instead of building and maintaining custom ETL pipelines we can focus on analysis."

“Stitch makes it easy for us to get all of our NoSQL data into Redshift. The Stitch API handles bulk and incremental updates of our data with ease.”

"It’s great to be able to set up integrations easily through the interface, but it is also great to have the documentation knowledge base and the extraction logs and error messages Stitch provides to help me troubleshoot problems quickly."

“We can customize and collaborate on our analyses, join across data sources, and produce reports that actually get used. Stitch makes all that possible.”

"It took me less than an hour to take our data in MongoDB and PostgreSQL and send it to a single warehouse in PostgreSQL."