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

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

"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 did what we needed at the lowest cost."

"Stitch was almost suspiciously easy at first; I thought I must have missed some critical step. Within a few minutes all of our app data was in our analytics warehouse, and after a couple more clicks, data from our third-party tools followed."

"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."

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

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

"From marketing to sales to finance to creative, there isn’t anyone who doesn’t use the data from Stitch."

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

"Having the level of visibility that Stitch provides has transformed the way we look at data."

"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!"

"Stitch had the best solution for transforming NoSQL to SQL – and the best price."

"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."

"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."