Solutions
Health, speed, cost, routing, governance, and AI readiness — one control plane for your entire lake.
Open and runs on your stack
Full Platform
Connect your catalog and every table gets maintained, optimized, and governed — across every engine, without a single script.
Table Maintenance
Compaction, snapshot expiry, orphan cleanup, and manifest rewrite — triggered by table health, run in dependency order.
File Layout
Learns WHERE, JOIN, and GROUP BY patterns, then re-sorts files to match. Runs on a purpose-built Rust engine — 95% faster than Spark.
FinOps
Query-aware layout, storage cleanup, Rust compaction, and routing each query to the cheapest engine — four levers that compound.
Multi-Engine
One SQL endpoint routes each query to Trino, Spark, Snowflake, DuckDB, or Athena — based on cost, latency, or workload type.
Visibility
Small-file ratio, snapshot backlog, manifest count, partition skew — one dashboard across every engine and catalog.
Policies & Compliance
Declarative maintenance policies for compaction, retention, and cleanup — scoped from organization to individual table, with full audit trails for compliance.
AI-Ready Lake
Agents connect via MCP with any Postgres or MySQL driver. Every query hits read-only, cost-cap, and PII guards automatically.
Performance
Query-aware sort optimization and engine routing deliver 12× faster queries with 51% less data scanned — without changing a line of SQL.
Migration
Migrate from Snowflake or Databricks to open Iceberg. LakeOps manages compaction, maintenance, and governance on both stacks — so you focus on the move.
The Platform
Observe, maintain, compact, route, and govern — from one console, via REST API, or through an MCP server for AI agents.
| Table | NS | Size | Status |
|---|---|---|---|
| customer_orders | orders | 1.24 TB | HEALTHY |
| payment_transactions | payments | 860 GB | WARNING |
| raw_clickstream | analytics | 4.6 TB | CRITICAL |
| product_catalog | products | 42 GB | HEALTHY |
| user_sessions | analytics | 1.9 TB | WARNING |
| inventory_levels | operations | 320 GB | HEALTHY |
| shipping_events | logistics | 580 GB | HEALTHY |
| search_query_logs | analytics | 3.2 TB | CRITICAL |
Learns from query patterns and table signals to decide what to optimize, when, and how — no schedules, no manual tuning.
Results
Benchmarks from production-grade tables across multiple engines and clouds.
Query speed
After compaction + layout optimization
CPU reduction
Compute hours across all engines
Storage saved
Orphans, snapshots & bloat removed
Table health
Autonomous maintenance keeps every table optimized
SOC 2, SSO, RBAC, dedicated support, and the scale your largest Iceberg lakes demand.
SOC 2 Type II, encryption, SSO/RBAC, and audit trails for regulated teams.
One control plane for your full lake. Real-time visibility, policies, and predictable performance.
Dedicated onboarding, training, and enterprise SLAs. Deploy in VPC or on-prem.
Resources
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