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Monitor and Detect
Real-time execution across Airflow, Prefect, and more
Task-level health, retries, and resource utilization
Failure detection with impact severity routing
SLA compliance tracking per pipeline
👤 HITL: Validate root cause
Real-time execution across Airflow, Prefect, and more
Task-level health, retries, and resource utilization
Failure detection with impact severity routing
SLA compliance tracking per pipeline
👤 HITL: Validate root cause
ML-based recommendations from historical patterns
Reduced resource waste and runtime
Cadence management aligned to SLAs and business cycles
Compute-aware scheduling to prevent contention
👤 HITL: Approve optimization changes
Connects pipeline metadata to Lineage and Quality agents
Triggers remediation when outputs fail quality checks
Feeds Cost Agent with usage stats for billing control
Workload rebalancing for SLA-sensitive jobs
👤 HITL: Approve one-time overrides
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.
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.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse sollicitudin mi nibh
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.
The Data Pipeline Agent monitors, detects failures, and recommends fixes — keeping your pipelines healthy and your SLAs intact.
Three coordinated capabilities powered by the xLake Reasoning Engine.
You stay in control.
HITL checkpoints keep your team in the loop at every critical decision.
No dashboards to dig through. Just ask.
Autonomous scheduling, optimization, and observability in one intelligent loop.
Backed by xLake. Orchestrated via ADM. The Pipeline Agent works across your stack — ensuring healthy, efficient workflows at scale.
The Data Pipeline Agent is part of a multi-agent system—working alongside other specialized agents to share context, coordinate actions, and resolve issues faster. This agent-to-agent collaboration drives smarter decisions and scalable data governance.
Analyzes datasets to surface distributions, anomalies, and structural insights, strengthening quality and governance.
Continuously monitors, detects, and remediates data quality issues, ensuring AI-ready data.
Tracks data flow across systems to uncover dependencies, trace root causes, and power intelligent decisions.
ADM adds intelligence—auto-detection, root cause diagnosis, and corrective action across systems.
Yes. HILT workflows let you approve, delay, or override automated steps.
Failures, retries, latency spikes, scheduler gaps, resource contention, and more.
Native integrations with Apache Airflow, Prefect, Dagster, and more via connectors.
It detects failures, recommends fixes, and can trigger remediation agents to resolve problems.
Yes. You can configure execution cadence, approve overrides, or let the agent auto-adjust based on usage.
By analyzing resource patterns, failure trends, and execution logs to surface actionable insights.
Absolutely. It scales across clouds and platforms via the xLake orchestration layer.
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