The State of Apache Iceberg in the Enterprise
Apache Iceberg has moved beyond early adoption and into the core of enterprise data platforms. It is now widely used to support large-scale analytics, AI and ML workloads, and business-critical reporting across modern lakehouse environments.
This report examines what that shift looks like in practice.
Based on an independent survey of enterprise data leaders actively running Iceberg in production, the research captures how teams are adopting Iceberg, what benefits they are realizing, and where operational complexity still emerges as scale increases.
Independent survey of
252
Conducted
January 2026
Fielded by
TrendCandy
What You’ll Learn
This report provides a market-backed view of:
Who the Report Is For
This research is written for data engineering leadership and technical decision-makers, including:
About the Survey Respondents
The survey reflects the perspectives of senior IT and data leaders operating large-scale, production lakehouse environments. All respondents are running Apache Iceberg in production, not pilots or proofs of concept.
Respondent environments typically include:
Why This
Research Matters
Iceberg adoption is accelerating, and satisfaction is high. At the same time, many organizations report increasing operational burden as usage scales—often relying on custom tooling and manual processes to manage critical requirements.
This report helps data leaders understand:
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