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Starburst Enterprise Delivers Incremental Iceberg Materialized Views, Query Speed improvements and Enhanced AI Intelligence

Blog post from Starburst

Post Details
Company
Date Published
Author
Dan Codeluppi
Word Count
1,406
Company Posts That Month
21
Language
English
Hacker News Points
-
Post removed?
No
Summary

Starburst Enterprise 482-e LTS introduces incremental, append-only refreshes for Iceberg materialized views in public preview, enabling scheduled updates that process only new data and reduce recomputation costs, alongside Iceberg REST Catalog support in Starburst Metastore. The release reports 10% faster query performance in internal benchmarks and adds public-preview capabilities for queries that exceed available RAM through disk or object-storage backing, plus Apache Arrow-based PyStarburst result retrieval that can improve Python output performance. AIDA enhancements include token-usage monitoring, configurable in-chat tools, granular Skills access controls, expanded OAuth support for external MCP servers, and an updated data product enrichment agent that uses data sampling and business rules to produce metadata. Connectivity additions include general availability for Great Lakes and OpenSearch connectors and public previews of OpenAPI and kdb+ connectors. The update also includes breaking changes, such as removal of the packaged Hive Metastore Service, legacy Hadoop-based cloud storage support, the Snowflake JDBC connector, Alluxio support, and catalog-level file-system caching, requiring affected users to migrate configurations and services before upgrading.

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