85 Stitch Testimonials

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  • "Thanks to Stitch, we’re able to gain insights into our business at a quicker pace than ever."

  • “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.”

  • “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.”

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

  • “We needed an easy and flexible (pay as you grow) tool to aggregate all our data sources in the same place a Snowflake data warehouse and we didn’t have the experience to build it in house at that time.”

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

  • "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."

  • “Our data stack and the solutions we took on board were all designed to simplify data management so we could focus on business. Stitch was perfectly suited to our growth model.”

  • “Stitch gets my data where I need it while still giving me control over what gets replicated and when. Now I can focus my efforts on finding insights and building dashboards, not APIs.”

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

  • “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!”

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

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

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

  • "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."