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Most businesses have data stored in a variety of locations, from in-house databases to SaaS platforms. To get a full picture of their finances and operations, they pull data from all those sources into a data warehouse or data lake and run analytics against it. But they don't want to build and maintain their own data pipelines.

Fortunately, it’s not necessary to build everything in-house. We put together this guide to help you choose the product that’s the best fit for your business.

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Why Stitch?

About selecting an ETL tool

According to the independent analysis firm Passionned Group, there are seven key steps to selecting an ETL tool:

creating a data integration strategy
defining your data flow requirements in business terms,
shortlisting ETL vendors with a focus on your data warehouse of choice
having live data ingestion demos,
perform an ETL proof-of-concept (PoC),
negotiating with ETL vendors,
closing the deal.

At Stitch we think that all sounds like a lot of busywork and time that could be spent on data analysis. That's why we offer a 14-day trial period so that your team can rapidly try out our ETL platform and see if it works for you.