Automated real-timedata lake optimization platform
Cut compaction time and costs by 80% and query 6 times faster using an intelligent, real-time optimization platform. Install and run in 10 minutes.
The open data platformfor effective teams
Real-time automated table maintenance
Fully automate and optimize compaction, including the hard parts like orphan files cleanups, snapshot expirations, and schema management. Trigger jobs on events like table size, query latency, and cost spikes.
Learn moreIntelligent compaction by ingestion and query patterns
A powerful Rust with AI engine automatically executes smart compaction with dynamic sorting and partitioning, file organization, and adjusts file sizes based on workload and query patterns.
Learn moreLive cost and performance monitoring
Track performance and cost optimization with real-time analytics dashboards and receive AI-powered alerts and recommendations to maintain optimal data lake efficiency.
Learn moreFaster queries
Faster compaction
Cost savings
Installation time
Take control of your data lake. Boost performance and cut costs.
LakeOps frees you from manually maintaining and tuning your data lake operations, while giving you full visibility and control.
Query time
Query cost
Optimization opportunities
| Table | File Compaction | Storage Size | Optimizations |
|---|---|---|---|
| Table1 | 100⇨100 | 2.5TB⇨2.5TB | SortExpire Snapshots |
| Table2 | 27,482⇨27,482 | 4.8TB⇨4.8TB | BinpackExpire SnapshotsRewrite ManifestsDelete Orphaned Files |
| Table3 | 33,907⇨33,907 | 3.2TB⇨3.2TB | BinpackExpire SnapshotsRewrite ManifestsGenerate Puffin |
| Table4 | 18,209⇨18,209 | 5.5TB⇨5.5TB | Z-order |
No vendor lock-in
Easily deploy anywhere, own your data, and easily leave any time.
Easily scale to PBs
LakeOps smoothly scales to Petabytes and beyond to support global brands.
Secure and compliant
Work at the highest enterprise-grade security and compliance standards.
"After a seamless installation, LakeOps cut our costs by more than 60% while radically accelerating compacting and query performance. Maintenance automation and live optimizations save us tons of work each week, and we have full visibility and control. And we really enjoy working with their 24/7 support team.”
Performance Benchmarks
Comparing performance across different compaction methods for Iceberg tables
Tables size: 200GB compressed data (~1TB uncompressed)
Compaction Duration
Cost of Compaction
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