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Managed Lakehouse

Complete control plane — compaction, maintenance, routing, and observability in one platform.

Automated Table Maintenance

Snapshots, manifests, orphan cleanup, and lifecycle — sequenced and autonomous.

Intelligent Compaction

Rust-powered, query-aware file optimization — 95% faster than Spark.

Cost Optimization

Eliminate storage waste and over-provisioned compute — reduce lakehouse costs 80%.

Multi-Engine Routing

Route queries to the optimal engine — Trino, Spark, Snowflake, DuckDB — by cost or latency.

Observability & Governance

Table health scoring, cross-engine telemetry, policies, and full audit trails.

AI Agent Enablement

MCP server, guardrails, and a self-optimizing lake ready for autonomous agents.

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Docs

Technical documentation, guides, and API reference.

Open Source

QueryFlux router, ecosystem integrations, plugins, and more.

Blog

Deep dives on Iceberg, data lakes, and platform engineering.

Videos

Product demos, tutorials, and deep-dive walkthroughs.

Partner Programs

Resell, consult, or refer — grow with the lakehouse ecosystem.

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Solutions

Everything your lakehouse needsOne platform

LakeOps manages your entire Iceberg lakehouse — from table maintenance and compaction to cost optimization, query routing, observability, governance, and AI readiness.

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Managed Lakehouse

The complete control plane — compaction, maintenance, cost optimization, routing, observability, governance, and AI readiness.

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Iceberg Maintenance

Snapshot expiration, manifest rewrites, orphan cleanup, and metadata — automated, sequenced, and safe.

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Intelligent Compaction

Learns from production queries and sorts data to match — autonomous, event-driven, and 95% faster than Spark on a Rust engine.

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Query Routing & Optimization

Route queries across Trino, Spark, Snowflake, and more — optimized for cost, latency, or throughput per workload.

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Observability & Governance

Table health, insights, cross-engine telemetry, policies, retention, and audit trails — one control plane.

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Agentic AI Readiness

Agent-native MCP interface, guardrails, and a self-optimizing lake ready for AI agents and autonomous pipelines.

Explore AI enablement

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