OLAKE FUSION
Iceberg Tables
OLakeFusion
Compaction
CleanupSOON
Logs & Metrics
Optimized Iceberg Tables
THE SILENT TAX
SmallfilesPILE UPfasterthanyounotice
QueriesgetSLOWEReveryday
Problemsaren'tvisibleuntilthey'reexpensive
Compactionbecomesadebuggingissue
Set a schedule, Fusion will handle the rest.
FEATURES
Built to keep your data lake performant
TIERED COMPACTION
REDUCED DECAY
EASY CONFIGURATION
SELF-HOSTED
TIERED COMPACTION
LITE
every 20 min
MEDIUM
every 40 min
FULL
deep-clean
Trigger-based tiers instead of one blunt job, so lightweight compaction can run constantly and deep rewrites only run when they’re actually needed.
REDUCED DECAY
fragmented files
→
compacted
Small files, delete files, and excess metadata pile up as tables evolve. Fusion resolves them periodically so query performance never degrades.
EASY CONFIGURATION
1
Fusion parameter
10+
Spark parameters
One target-size parameter replaces the seven Spark rewrite_data_files needs. Same result, far less to manage.
SELF-HOSTED
Docker
Kubernetes
Open-source and deployable on Docker or Kubernetes so you pay only for the compute and storage you provision.
BENCHMARKS
Engineered for Performance
OLake Fusion compacts Apache Iceberg tables 2.06× faster than Apache Spark and at roughly half the cost.
METRICS
SPARK COMPACTION
OLakeFusion
Total compaction time
55m 47s
27m 02s 2.06X Faster
Compaction cost / job
$2.19
$1.06 52% Less Cost
Config parameters
10+
1 10X Simpler
HOW FUSION DOES THIS
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Frequently Asked Questions
What is OLake Fusion?
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When do I actually need table maintenance?
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Can I use OLake Fusion together with OLake Go?
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Can I use OLake Fusion on its own, without OLake Go?
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How much faster is Fusion than Apache Spark?
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Does it cost less than running Spark compaction?
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Do I have to pause ingestion or queries while compaction runs?
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How often does compaction run?
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How do I deploy it, and what does it cost to license?
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How much configuration does it need?
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