I really appreciate how GoodData.AI opens up data access across our teams without risking confidentiality, letting me deliver clean, governed insights to stakeholders while protecting sensitive numbers. It efficiently handles my biggest issue with ad hoc data requests, allowing others to access dashboards while I focus on crucial modeling work. The integration with our existing ETL setups is seamless, helping me wire GoodData.AI into our pipelines without rebuilding. The API documentation is well-organized and easy to navigate, saving me guesswork in setting up our metric layer. It processes large datasets quickly—like handling several years of client portfolio data—without long waits. I also appreciate the consistency of the semantic layer, which ensures everyone pulls the same numbers and avoids conflicting figures in meetings. Review collected by and hosted on G2.com.
Support can be slow to get back to you, which wasn't fun when I was up against a reporting deadline. I've also hit a wall a few times building queries that need to pull from several sources at once, and that does slow down some of my cross-dataset work. Review collected by and hosted on G2.com.
Hello Laura! Thank you for this comprehensive review! Opening up data access while keeping sensitive numbers protected, and freeing your time for modeling-exactly the balance we aim for.
We hear you on support turnaround during a tight deadline, and on the friction with queries spanning multiple sources-both are areas we're continuing to improve.
Feel free to reach out to me at anna.slabunova@gooddata.com with any additional thoughts.
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