85 Stitch Testimonials

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

"Getting started with Stitch was super easy."

"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."

"We needed a robust solution that wasn’t too complex. We also prefer tools that are perfect at one task over all-in-one solutions. And, for us, a free tier is a plus. Stitch gives us all of that."

"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."

“With Stitch we spend more time surfacing valuable insights and less time managing the data pipeline.”

“Stitch has saved my team countless hours of dev time, helped us create valuable insight into how we can better serve our customers, and it just works.”

"Stitch ticked off all the boxes."

"Stitch saved us weeks compared to the time it would have taken to build our own tool in-house. It also saved us thousands of dollars relative to what direct competitors charge."

"I’ve been impressed by both the simplicity of Stitch and its super-competitive prices."

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

"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 allows us to focus on building our analytics infrastructure without worrying about managing the data pipeline. We get to spend less time on gathering data, and more time on hunting insights!”

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