Everything you need to build, govern, and scale data and AI workloads—one unified platform.
Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
An open-source data platform for Hadoop modernization, flexibility, and long-term control.
Browse solutions to help you solve the complex business challenges unique to your industry.
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Browse materials to help you access the tools, guides, and insights essential to your workflows.
Learn about our mission, leadership, and vision driving modern data operations forward.
Browse solutions to help you solve the complex business challenges unique to your industry.
Browse materials to help you access the tools, guides, and insights essential to your workflows.
Learn about our mission, leadership, and vision driving modern data operations forward.
Everything you need to build, govern, and scale data and AI workloads—one unified platform.
Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
An open-source data platform for Hadoop modernization, flexibility, and long-term control.
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Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
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AI-powered observability and optimization for Hadoop and big data environments.
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An open-source data platform for Hadoop modernization, flexibility, and long-term control.
A reasoning engine that understands your data estate continuously
It maps business context across every data asset, scores by impact, and orchestrates agents to resolve it autonomously — before your AI models or your business gets impacted.
Business meaning, not just column names and data types.
xLake translates raw fields into business meaning — ownership, lineage, governance scope, and downstream impact. Agents query context, not columns.
Field names are cryptic. Business context lives in someone's head.
Every asset enriched automatically. Agents know what fields mean and what breaks downstream.
Multi-agent orchestration with
business-level severity scoring.
Specialist agents — Quality, Lineage, Pipeline, Drift, Freshness — execute in parallel. Every incident is scored by revenue exposure, compliance risk, and AI pipeline impact. What matters surfaces first.
400 equal-urgency alerts. Revenue-critical issues buried in the noise.
Business impact ranked automatically. Revenue and compliance issues surface first.
Every incident makes the system
smarter than it was before.
Every resolution is stored. Runbooks, incident reports, and compliance docs are ingested and surfaced during agent execution — so the same issue is never investigated twice.
Same pipeline breaks every quarter. Root cause re-investigated from scratch each time.
Pattern recognized. Issue resolved before it repeats. MTTR trends toward zero.
Connect any system. Keep your data inside your perimeter.
Agents connect to your data and AI stack — via MCP-DC, knowledge base, or connect to any LLM — GPT-4o, Claude, Gemini, Llama 3, or your own model.
Data siloed across 10+ systems. Cross-platform correlation done by hand.
Agents correlate across every system in parallel. Data stays in your perimeter. Every LLM call is grounded in governed data.
Petabyte scale. No asterisks.
Validated on BigQuery with a 12-node GKE cluster
Rows processed across fact and dimension tables in a single benchmark run.
Peak processing throughput at maximum load, with linear scalability as nodes are added.
Faster than standard validation tools. 1 TB tables profiled in under 3 minutes.
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