“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 a game changer. It has allowed us to setup and upload our data from multiple data sources into Amazon's Redshift in less than 2 days.”

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

"Stitch had the connectors we needed already available at a fair price. It was easy to use and needed no maintenance."

“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.”

"The readiness of Stitch’s support engineers really impressed me."

"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."

"Stitch became a critical part of our new data pipeline, which was focused around accuracy and ease of use."

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

"Stitch has helped solve issues across our entire company, especially within Finance, Manufacturing, Hospitality (Wholesale) Sales, Retail Operations, and DTC (Ecommerce), and has helped us save hundreds of hours of time."

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

“We were anecdote-driven, not data-driven.”

"I needed to design and build a proof of concept for a complex data warehouse schema to drive a large number of client reports, with some complex and changing business rules, and six disparate data sources. Stitch let me create schemas in Amazon Aurora, synchronize them with test data in …

"Thanks to Stitch and BigQuery we’ve gone from insights updated quarterly to data updated within the hour."

"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."