Discover the Data Management Trends for 2025
Today’s data leaders face a critical moment: AI is moving fast, cloud is now foundational, and distributed ownership is reshaping how data is delivered across the enterprise. The 2025 Gartner Hype Cycle for Data Management is your essential research to navigating what’s emerging, what’s accelerating, and what’s delivering real value.
This year, the report includes three transformational areas where Starburst is recognized for helping organizations modernize their data architecture and unlock faster, more trusted insights.
Access the Report
Today’s data leaders face a critical moment: AI is moving fast, cloud is now foundational, and distributed ownership is reshaping how data is delivered across the enterprise. The 2025 Gartner Hype Cycle for Data Management is your essential research to navigating what’s emerging, what’s accelerating, and what’s delivering real value.
This year, the report includes three transformational areas where Starburst is recognized for helping organizations modernize their data architecture and unlock faster, more trusted insights.
Technologies to Watch in 2025
Open Table Formats
Modern data architectures require open, flexible foundations. Open Table Formats like Apache Iceberg are rated Transformational by Gartner as it allows multistructured content to be accessed, ingested and stored in a low-cost object store tier, while enabling metadata table structures around this content to enable efficient analytics and AI/ML workloads.
Data Products
As data becomes more decentralized, organizations need reusable, trusted assets that deliver value at scale. Gartner highlights data products are critical for data and analytics success because they provide business teams and subject matter experts with integrated and prepared data that is easily findable, trusted, self-contained and certified for reuse.
Lakehouse
Lakehouse continues to gain momentum as it allows for modernization of traditional data warehouse workloads while supporting new workloads such as generative AI (GenAI) within a single architecture. It also allows for highly dynamic workloads like batch, streaming and interactive processing. Thus, it enables accelerated adoption of new use cases such as data science, AI and GenAI, and aids in optimizing or “rightsizing” legacy workloads by reducing data duplication, technical debt and operational overhead while supporting existing service levels.
Why Download the Report?
- Learn which innovations Gartner identifies as most impactful for the next 2–5 years
- Understand how Open Table Formats, Data Products, and Lakehouse patterns are transforming enterprise data strategy
- Explore business benefits, adoption timelines, and risks for 30+ key technologies
- Align your architecture and platform investments with where the market is going
Whether you’re planning for AI, modernizing your data stack, or accelerating cross-functional insights, this report will help you make smarter, more confident decisions.
Gartner, Hype Cycle for Data Management, 2025, By Aaron Rosenbaum, Robert Thanaraj, 9 July 2025
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