Between July 17 and July 22, 2026, Snowflake rolled out the 10.25 server release, delivering practical improvements that expand capacity limits, enrich data type support, and continue progress on Apache Iceberg tables. While not a headline feature release, 10.25 addresses real constraints faced by teams building complex analytics and AI workloads.
Key changes include a larger session variable size limit, increased object definition size, native support for UUID and DECFLOAT values inside VARIANT and structured types, and preview support for the UNKNOWN data type in Apache Iceberg tables. These updates improve flexibility for modern data engineering and reinforce Snowflake’s ongoing investment in open table formats.
This post examines the practical impact of the 10.25 release, why larger limits and richer types matter, the continuing Iceberg roadmap, developer experience benefits, competitive positioning, and what the changes signal for Snowflake’s data lakehouse capabilities through the rest of 2026.
Summary of Key Changes in the 10.25 Release Window
SQL and Capacity Updates
- Session variable size limit increased to 16 KB.
- Object definition size limit increased to 1 MB.
- VARIANT and structured types now support UUID and DECFLOAT values.
Data Lake / Iceberg Updates
- Apache Iceberg tables: Support for the UNKNOWN data type (Preview).
These enhancements reduce friction for large or complex definitions, improve handling of modern data types, and keep Iceberg interoperability moving forward.
Why Larger Limits Matter for Complex Workloads
As organizations build more sophisticated pipelines, AI feature stores, and agentic applications, they frequently encounter platform limits:
- Large session variables used for configuration, prompts, or intermediate state.
- Complex object definitions (views, functions, procedures, or policies) that exceed previous size caps.
- Need to store and process richer semi-structured data containing UUIDs or high-precision decimal values.
Raising the session variable limit to 16 KB and the object definition limit to 1 MB gives engineers more headroom. This is particularly valuable for:
- AI and LLM-related workflows that pass larger context or configuration.
- Generated or highly parameterized SQL objects.
- Governance and policy definitions that grow in complexity.
Expanded Type Support: UUID and DECFLOAT in VARIANT
VARIANT has long been Snowflake’s flexible semi-structured type. Adding native support for UUID and DECFLOAT values inside VARIANT and structured types improves fidelity when ingesting or exchanging data that uses these types.
Practical Benefits
- More accurate representation of identifiers and high-precision numeric values.
- Reduced need for string workarounds or casting.
- Better interoperability with systems that emit UUID or decimal-float data.
These changes help data engineers maintain type integrity across pipelines that combine structured, semi-structured, and open-format data.
Continuing Iceberg Roadmap: UNKNOWN Type Preview
Snowflake continues to invest in Apache Iceberg as a core open table format. The 10.25 release adds preview support for the UNKNOWN data type in Iceberg tables.
This incremental step improves compatibility with a wider range of Iceberg ecosystems and schema evolution scenarios. It forms part of a broader 2026 roadmap that has included VARIANT support, performance improvements, and external write capabilities.
Open table format progress remains strategically important for organizations seeking to avoid lock-in while leveraging Snowflake’s performance and governance.
Developer Experience Improvements
Taken together, the 10.25 changes reduce the need for workarounds:
- Larger variables and definitions mean fewer artificial constraints during development.
- Richer VARIANT support simplifies data modeling.
- Iceberg enhancements keep open-format workloads moving forward.
For teams that frequently hit limits or perform extensive type conversion, these updates deliver immediate quality-of-life improvements.
Comparisons to Prior 2026 Releases
Throughout 2026, Snowflake has steadily expanded capacity, type support, and Iceberg functionality. Earlier releases introduced broader Iceberg capabilities (including VARIANT and performance features) and other SQL enhancements. The 10.25 release continues this pattern of incremental but meaningful refinements rather than dramatic new surface-area features.
This steady cadence allows platform teams to plan upgrades with confidence while continuously removing friction.
Competitive Positioning on Open Table Formats
The data platform market continues to emphasize open formats such as Iceberg. Snowflake’s approach combines strong native performance and governance with progressive Iceberg compatibility. Preview support for additional types such as UNKNOWN demonstrates ongoing commitment to interoperability.
Organizations evaluating lakehouse architectures benefit from platforms that both perform well on open formats and continue to expand support.
Implications for Platform and Data Engineering Teams
For Data Engineers
- Revisit workloads previously constrained by variable or definition size limits.
- Leverage native UUID and DECFLOAT handling in VARIANT where applicable.
- Test Iceberg UNKNOWN type support in non-production environments.
For Platform Teams
- Communicate the new limits to development teams.
- Update internal standards and templates that assumed older constraints.
- Monitor Iceberg preview usage and provide feedback.
Actionable Insights
- Review existing session variable and object definition patterns for opportunities to simplify now that limits are higher.
- Update data contracts and ingestion logic to take advantage of richer VARIANT type support.
- Include Iceberg UNKNOWN type testing in ongoing compatibility validation.
- Document the 10.25 changes in internal release notes for engineering awareness.
- Continue aligning lakehouse designs with Snowflake’s evolving Iceberg capabilities.
What This Signals for Snowflake’s Data Lakehouse Capabilities Through 2026
The 10.25 release reinforces that Snowflake is methodically strengthening the foundations of its data platform—capacity, type fidelity, and open format support. While agentic AI and higher-level features attract attention, these core improvements ensure the platform remains capable of handling increasingly complex and diverse workloads.
Through the remainder of 2026, expect continued refinement of Iceberg support, further type and limit expansions where customer needs dictate, and steady improvement in the developer experience for both traditional analytics and AI-driven pipelines.
Conclusion
Snowflake’s 10.25 release delivers practical enhancements that matter to teams building real-world analytics and AI systems: higher limits, richer type support in VARIANT, and continued Iceberg progress. These changes reduce friction, improve data fidelity, and keep the platform aligned with open lakehouse directions.
For data engineers and platform teams, 10.25 is a solid incremental upgrade worth adopting and communicating internally. As Snowflake continues to evolve its data lakehouse capabilities, attention to these foundational improvements will help organizations scale complex workloads with confidence.