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xLake: Built for What Data Needs to Become

Decoupled, Open, and Continuously Intelligent. Runs Anywhere. Locks You into Nothing. Gets Smarter Over Time.

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Explore the Architecture

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

One Vision. Four Products. One Intelligent System.

xLake is an architectural vision where compute is elastic, data is open, observability is continuous, and intelligence is built in. AI is the operating requirement of your entire data estate. xLake thinks.

Cross Lake Data Platform

Kubernetes-native elastic compute. Runs Spark, Trino, Jupyter, Airflow, and Flink across any cloud or on-premises environment. Your compute, your infrastructure, your control.

Agentic Data Management

LLM-powered automation for data quality, governance enforcement, catalog management, and operational remediation — continuously, at scale.

Acceldata Data Observability Cloud

Full-stack observability across every pipeline, pod, and workload. From Spark executor evictions to data quality anomalies — stop debugging, start delivering.

Foundation and Migration

Brings Hadoop-era infrastructure into the xLake architecture. Interoperable formats, vulnerability-free open source, continuous TCO optimization — the proven path for petabyte-scale on-premises estates.

Foundation Layer: Built on xLake Reasoning Engine

The connective intelligence layer continuously ingests signals from the data estate, reasons, and coordinates action across compute, governance, and data management. This transforms xLake from an architecture into an operating system for your data estate.

What xLake Enables — Observability, Context, and Compute

xLake moves enterprises from reactive, fragmented data operations to a proactive, intelligent data architecture.

Run any workload, anywhere

Spark, SQL, ML, and AI — across on-premises, cloud, and hybrid. No refactoring. No migration risk. No infrastructure lock-in.

Eliminate the operational blind spot

Every pipeline, pod, workload, and failure — visible in real time, before it becomes a business problem.

Automate what should never have been manual

Data quality, governance, catalog management, and operational remediation — driven by agentic AI, continuously, at enterprise scale.

Scale without the cost spiral

Decouple compute from storage. Right-size every workload independently. Grow your data estate without growing your infrastructure bill.

Stay open. Stay in control.

Open standards throughout — no proprietary formats, no vendor dependencies, no lock-in. Your data stays portable. Your architecture stays yours.

Make your data AI-ready

Governed, observable, and accessible across every model, application, and team. AI initiatives move forward. Infrastructure stops being the reason they don't.

The Full Loop. One Motion.

Most platforms stop at pipeline generation. You still validate manually, wire lineage separately, and configure orchestration. XDP changes that.

Stage 1

Coupled and Constrained:

Compute + storage scale together

Proprietary format lock-in

Manual observability stitching

Governance exists on paper

Stage 2

Interoperable and Observable:

Open table formats adopted

Legacy workloads preserved

Full-stack observability live

TCO optimization starts now

Stage 3

Decoupled and Intelligent:

Independent compute + storage scale

Any workload on right-sized infra

Agentic AI enforces quality

Reasoning Engine connects it all

The Market Is Converging. Acceldata Is Already There.

The fragmented modern data stack is consolidating into platforms that unify data quality, metadata, governance, and compute — with no lock-in and full interoperability.

xLake is that platform, built for enterprises that can't wait for the market to catch up.

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