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

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

"Stitch made it easy to integrate the data sources and get data in our database. Selecting Google Ads and the other integrations took just a couple of minutes."

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

“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.”

"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."

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

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

"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 …

"Stitch enables us to connect tools from our operational, marketing, sales, and product teams in one place to provide executives with a 360-degree view of the company and help us make data-driven decisions."

"Stitch has become an integral partner for us, and will be for a long time to come."

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

"Having this real-time understanding of how our platform is being used has given us a level of insight we were previously lacking, and people have started spending more time delving into our data now that it’s more accessible than ever."

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

"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."