"Stitch saved us hundreds of hours of development time we would have had to spend on manual coding."

"Cost and ease of use made Stitch stand apart."

“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.”

"Stitch is responsive, flexible, and fast. It was a no-brainer for us to go with it."

"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."

"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."

“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 …

"With Stitch and AWS, anyone in the company can have visibility over all of our business processes, whether built in-house or not."

"Stitch is a pretty easy point-and-click solution to replicate data into our data warehouse. And it's saved us a lot of time in terms of setup."

“Inevitably you find every service you rely on will never have 100% integration with each other. Stitch was clutch for tying everything together FINALLY.”

"We considered writing our own, but that would have been extremely costly. Stitch worked very well and was much cheaper than writing and maintaining our own ETL code."

"Our product manager was able to do most of the setup himself and get the integrations up and running."

"As I did more research I realized [Stitch] was superior because of the Singer framework."

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