Acceldata recognized as an Exemplary Leader in 2026 ISG Buyers Guide™ for Data Quality and Data Observability. Read the Report→
xObserve

One observability layer for every pipeline, model, and cluster.

Data quality. Pipeline health. LLM behavior. Hadoop cost — on one platform, one control plane, one operational model.

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Runtime Observability for your Data & AI

Data Observability
Quality, lineage, freshness, reconciliation, and anomaly detection across every pipeline and source. Set policies once and enforce them automatically across every data asset.
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Data Quality Policies
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Data Reconciliation
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Anomaly Detection
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Data Profiling
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Alerts & Notifications
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Data Lineage
AI Observability
Tracing, prompt management, evaluation, and guardrails for LLM and agent applications in production. Quality regressions are debuggable the same way infrastructure regressions are.
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Agent & LLM Tracing
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Prompt & Evaluation Management
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AI Guardrails & Governance
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Prod Monitoring & Dataset Flywheel
Hadoop Observability
End-to-end visibility, faster RCA, YARN optimization, guided automation, and cost visibility for Hadoop estates. Reclaim capacity, boost throughput, reduce queue pressure.
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End-to-End Visibility
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Faster RCA
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AI Powered Optimization
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YARN Optimization
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Guided Automation
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Cost Visibility

Why one platform matters

1
Signals connect

Trace a hallucination back to the bad data that caused it. Reconcile a Spark SLA breach to the YARN queue starving it. One lineage across data, AI, and infra.

2
Policies travel

Govern once. Enforce across data pipelines, AI applications, and Hadoop workloads — on-prem, cloud, hybrid.

3
Operations consolidate

One alerting workflow, one incident model, one integration with ServiceNow. Responders stop tool-hopping.

4
Intelligence compounds

xReasoning correlates signals across every surface, recommends fixes, and acts on them. Most observability ends at the alert. xObserve doesn't.

Built on open standards.

OpenTelemetry and OTLP
Acceldata ingests traces over OpenTelemetry and OTLP — the same telemetry pipeline you already use. No proprietary format. No vendor lock-in.
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Framework integrations out of the box
Native instrumentation for LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, CrewAI, AutoGen, and ADK. SDK-based instrumentation for custom and in-house frameworks.
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Cross-platform ingestion
OTLP ingestion across cloud, on-prem, and hybrid environments — no per-platform rewrites.
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Built on open

standards

No vendor lock-in. No proprietary formats. Governance evidence that moves with your infrastructure.

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LangChain
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LangGraph
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LlamaIndex
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OpenAI
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Anthropic
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CrewAI

Why Acceldata?

Trace fidelity built for agentic complexity
Acceldata captures the parent-child structure of agentic execution — orchestrators, sub-agents, tool calls, retrieval steps — without flattening it into a single span.
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Production-grade from day one
Built for real production volume, not dev-environment debugging. Token, cost, latency, and error context are first-class on every trace.
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Open by default
OpenTelemetry-native means no instrumentation lock-in. Your traces stay portable and feed downstream tools when you need them to.
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