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

"I was impressed with how easy setting up Stitch and creating the first replication was."

"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 …

"Before using Stitch I simply couldn’t create unified reports based on multiple data sources."

"Stitch probably saved us weeks of work developing and testing these integrations."

"By using Stitch, we were able to reduce the ETL lag from 6 hours to 5 minutes, and that allowed us to operationalize our data intraday. Now we can act on data sooner, and we have fewer discrepancies across tables from data not being equally up to date."

"Stitch was the easiest tool we found and completely hands-off, once it’s connected, it just works."

"Unlike the other ETL tool we tried, I could give Stitch credentials to our user acquisition manager, and he could set up all of the integrations he needed in a matter of hours. Writing custom code to do all of that would have taken up a month’s worth of back-end …

"We ended up choosing Stitch because we needed flexibility in which columns and tables we were syncing. Stitch provided an organizational layer and gave us the control we needed to sync what we needed. It might have saved us a hire or two!"

"We were able to have data and dashboards available pretty much from day one with very little investment, and I have confidence my data will get where I need it to be."

"Stitch has a nice UX, awesome support, and the product just works!"

“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.”

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

"Stitch helped us get important data into Redshift easily."

"We have slow-to-compute views that we cache in Periscope Data to optimize query time and enable rapid filtering of the data. We often want to join them with raw Shopify data, so we needed to find efficient ways of getting that raw data into the cache.”