“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 did what we needed at the lowest cost."

"To extract data from AppsFlyer without Singer would have meant writing a script that runs on a schedule, pulls from the API, and pushes to Kinesis. The tap we wrote is just as simple, but because it's built with Singer it can be run inside Stitch, and now we don’t …

"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."

"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!"

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

"Stitch has a nice UX, awesome support, and the product just works!"

"Stitch ticked off all the boxes."

“With Stitch, we were able to get our data streaming to Redshift in minutes; and it requires zero engineering maintenance.”

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

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

“we were able to build prefab data warehouses as a turnkey solution. Since we use the same workflow for all of our clients, it’s like a template that we have. It’s a really neat solution.”

“Over time we made improvements to the data stack. We hired a consultant to implement a custom Singer tap to support integration of a custom Quick Base application and added Mode Analytics to our BI toolset. We run most of our company dashboards on this infrastructure – it’s mission-critical. Looking …

"Stitch’s Facebook Ads and Google Ads integrations give us the flexibility and reliability we needed."

"We have slow-to-compute views that we cache in Periscope Data to optimize query time and enable rapid filtering of the data. We often want to join them with raw Shopify data, so we needed to find efficient ways of getting that raw data into the cache.”