We ran proof-of-concept evaluations with several vendors and ultimately chose Matillion for a few key reasons. Over a three-week testing period, we worked through an extensive set of test cases and were impressed by the platform’s data throughput and overall performance. Their AI assistant, Maia, also stood out as a major differentiator. Just as important, we wanted to partner with a company that aligns with our long-term goals, especially after less positive experiences with previous vendors. The Matillion team set themselves apart with a collaborative approach and a genuine commitment to building a lasting relationship, rather than focusing only on the initial sale. Nearly a year later, they continue to be highly responsive to our questions and evolving needs, which reinforces our confidence that we made the right choice.

Since my last update, I’m really impressed with how they’ve integrated AI components, allowing us to process data using LLMs directly in the pipeline. The move to the Data Productivity Cloud is also a huge plus, as the serverless setup means we no longer have to manage backend infrastructure. Finally, the enhanced Git integration has made it much easier for our team to collaborate on complex projects without stepping on each other's toes.

The concurrent scheduling feature can prevent overflow workflow conflicting issue. Supporting agent services API, project provisioning API are good features to automate data pipeline