2022 Data Engineering Survey Report

By Jesse Anderson, Ben Lorica and Jenn Webb.

The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures. The 2022 Data Engineering Survey examined the changing landscape of data engineering and operations challenges, tools, and opportunities. This survey was conducted in collaboration¹ with Immuta.

Here are a few highlights:

Key Challenges: Overall, the most challenging areas cited by respondents were tasks that need to be primarily performed during the data curation and governance phases, once data has been extracted, loaded, and transformed.
Shift to the Cloud: Nearly two-thirds of respondents (65%) characterized their company as already either 100% cloud- based or primarily cloud-based.

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2022 Report: Data Engineering Survey

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[1] This survey is part of a collaboration between Gradient Flow and Immuta. See our Statement of Editorial Independence. The global online survey ran for 61 days and closed on August 23, 2021.

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Thanks to the Big Data Institute for providing critical assistance.

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