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Presto 0.288+

Distributed SQL query engine with REST/Nessie catalogs, row-level DELETE, time travel, and configurable MoR/CoW modes for interactive analytics

Key Features

100
REST/Nessie + OAuth2

Comprehensive Catalog Support

Hive Metastore, AWS Glue, REST/Nessie (0.277+ with OAuth2), Hadoop (file-based); JDBC possible via same properties

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85
Java + C++ (Velox)

Dual Engine Architecture

Java: full read/write with INSERT, CTAS, DELETE. C++ (Velox): high-performance read-only execution with same read path capabilities

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70
DELETE ✓ UPDATE ⚠️ MERGE ✗

Evolving DML Capabilities

INSERT, CTAS, DELETE (row-level, partition) available; UPDATE experimental; MERGE not yet supported. C++ engine has no DML

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100
Table-Level Control

Configurable Storage Strategy

Table props write.delete.mode/write.update.mode choose COPY_ON_WRITE or MERGE_ON_READ; readers honor MoR with enable-merge-on-read-mode=true

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0
Batch Only

No Streaming Support

No streaming capabilities - batch queries only; external engines handle CDC and streaming ingestion

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20
Post-0.295 Planned

Format V3 Roadmap

Roadmap: read Deletion Vectors & Row Lineage after Iceberg 1.8 libraries land; write DV planned post-0.295. Currently supports v1/v2 only

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100
AS OF Syntax

Advanced Time Travel

AS OF TIMESTAMP / @snapshot_id=... syntax (0.282+). Snapshot procedures: rollback, expire, remove orphan files

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95
System Tables

Rich Metadata Ecosystem

Add/drop/rename/widen columns; $snapshots, $history, $manifests, $partitions, $files, $entries, $refs, $properties, $changelog metadata tables

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100
Delegated ACLs

Enterprise Security

Relies on Hive/Glue/Nessie ACLs; Presto logs for audit; iceberg.security configuration for authorization

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90
Caching + Tuning

Performance Optimizations

In-memory manifest cache (0.282+); Parquet/ORC footer cache; dynamic filtering; split-thread tuning; optional Alluxio/file-stripe cache

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Presto Iceberg Feature Matrix

Comprehensive breakdown of Iceberg capabilities in Presto 0.288+

Dimension
Support Level
Implementation Details
Since Version
Catalog Types
FullREST/Nessie + OAuth2
Hive Metastore, AWS Glue, REST/Nessie (OAuth2), Hadoop file-based, JDBC via properties
0.277+
SQL Analytics
PartialJava Full, C++ Read
Java: full read/write (INSERT, CTAS, DELETE); C++ (Velox): read-only high performance
0.277+
DML Operations
PartialDELETE ✓ UPDATE ⚠️ MERGE ✗
INSERT, CTAS, DELETE available; UPDATE experimental; MERGE not yet supported
0.277+
Storage Strategy
FullConfigurable
Table-level write.delete.mode/write.update.mode control; MoR reader optimization
0.277+
Streaming Support
NoneBatch Only
No streaming capabilities; batch queries only; external engines handle CDC
N/A
Format Support
Limitedv1/v2 Only
v1/v2 support; v3 roadmap: read DV/lineage post-1.8, write DV post-0.295
0.277+
Time Travel
FullAS OF Syntax
AS OF TIMESTAMP/@snapshot_id syntax; snapshot procedures (rollback, expire, cleanup)
0.282+
Schema Evolution
FullRich Metadata
Add/drop/rename/widen columns; $snapshots, $history, $manifests, $changelog tables
0.277+
Security & Governance
FullCatalog ACLs
Hive/Glue/Nessie ACLs integration; Presto audit logs; iceberg.security config
0.277+
Performance Features
FullMulti-layer Cache
Manifest cache (0.282+), footer cache, dynamic filtering, optional Alluxio/stripe cache
0.282+
Engine Variants
DualJava + C++ (Velox)
Java: full capabilities; C++ (Velox): high-performance reads with same optimizations
0.277+
Known Limitations
MinorMERGE Missing
No MERGE; UPDATE experimental; C++ read-only; limited cost-based optimization
0.277+

Showing 12 entries

Live dataBug iconFor issues, click here (GitHub)

Use Cases

Interactive Data Analytics

High-performance interactive queries on Iceberg data lakes

  • Business intelligence and dashboard queries
  • Ad-hoc data exploration and analysis
  • Interactive reporting with time travel
  • Complex analytical queries with joins

Multi-Catalog Data Federation

Unified access across diverse catalog systems

  • Cross-catalog analytical queries
  • REST/Nessie catalog integration
  • Hybrid cloud data lake access
  • Legacy Hive to modern catalog migration

Data Modification Workflows

Row-level data corrections and maintenance

  • Data quality correction workflows
  • GDPR compliance data deletion
  • Partition-level data maintenance
  • Append-heavy workloads with corrections

Performance-Critical Analytics

High-performance deployments with advanced optimization

  • Large-scale analytical workloads requiring caching
  • C++ (Velox) deployments for read-heavy workloads
  • Performance-tuned environments with Alluxio
  • Complex queries requiring advanced optimization

Resources & Documentation

Official Documentation

Complete API reference and guides

Getting Started Guide

Quick start tutorials and examples

Iceberg Connector Documentation

Documentation

Presto 0.288 Release

Documentation

Time Travel Guide

Documentation

MERGE INTO Support Tracking

Documentation

Performance Newsletter

Documentation

Metadata Cache Discussion

Documentation

Caching Performance Demo

Documentation

Presto C++ Limitations

Documentation


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