EMR Serverless Spark released on April 15, 2026, with updates to platform management, engine capabilities, and performance.
Overview
Serverless Spark released updates to platform management, performance, and engine capabilities on April 15, 2026.
Platform updates
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Category |
Update description |
References |
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Data catalog |
StarRocks is now supported as a data catalog source. Add StarRocks to your data catalog to access and query its data. |
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Livy-submitted jobs can now access all DLF Catalogs added to your data catalog, simplifying multi-source configuration. |
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Data development |
Task priority is now configurable. Assign higher priority to critical tasks so they are scheduled first when resources are limited. Note
This feature is only available for allowlisted queues. To enable it, submit a ticket to the Serverless Spark team. |
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AI Center |
AI Function now supports |
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Session management |
DuckDB sessions are now available for lightweight, interactive querying and analysis of small to medium-sized datasets directly on the platform. |
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Cluster management |
Ray clusters are now available as a resource type for multimodal data processing and distributed Python parallel computing. |
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Skills |
The EMR Serverless Spark management Skill lets you manage workspaces and Spark jobs using natural language, lowering the technical barrier for data development. |
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Other optimizations |
You can now double-click or right-click to copy SparkSQL query results. |
Engine updates
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Version |
Description |
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esr-5.2.0 (Spark 4.0.1, Scala 2.13) esr-4.8.0 (Spark 3.5.2, Scala 2.12) esr-3.7.0 (Spark 3.4.4, Scala 2.12) |
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Ray engine err-1.0.0 (Ray 2.47.1, Python 3.12) |
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Celeborn |
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