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Platform Overview
Data & AI Observability
Agentic Data Engineering
Data Warehousing
Agentic Runtime
Agentic Data Management
Hadoop Modernization
Platform Overview

Everything you need to build, govern, and scale data and AI workloads—one unified platform.

xLake Architecture
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CAPABILITIES
Manage your data estate under one platform
Explore Integrations
Data & AI Observability

Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.

Explore
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Data Observability
Data Quality Policies
Set rules once and enforce them automatically across every data asset.
Data Reconciliation
Catch and fix data mismatches across data systems upstream/ downstream.
Anomaly Detection
Surface statistical outliers in production pipelines before they become incidents.
Data Profiling
Understand data freshness, completeness, and distribution without writing queries.
Alerts & Notifications
Get instant alerts with enough context to act, not just react.
Data Lineage
Trace end to end data flow across the entire pipeline.
Use Cases
From data quality to incident response—keep every pipeline trustworthy at scale.
AI Observability
Agent & LLM Tracing
End-to-end traces across prompts, models, retrieval, and tools.
Prompt & Evaluation Management
Version, evaluate, and optimize prompts before they ship.
AI Guardrails & Governance
PII controls, RBAC, audit trails, and policy enforcement for production AI.
Prod Monitoring & Dataset Flywheel
Continuously score production AI and turn failures into stronger test coverage.
Hadoop Observability
End to End visibilty
See clusters, jobs, queues, users, and cost in one place.
Faster RCA
Find issues faster across infrastructure, services, and jobs.
AI Powered Optimization
Reduce waste and improve performance on existing infrastructure.
Yarn Optimization
Reclaim capacity, boost throughput, and reduce queue pressure.
Guided Automation
Turn repeat issues into guided, repeatable actions.
Cost Visibility
Connect LLMs to distributed enterprise data with governed, unified control.
Use Cases
From firefighting to rising cost—see how you can solve your specific challenge.
Agentic Data Engineering

Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.

Explore ADE
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CAPABILITIES
AI Pipelines
Design and run autonomous HITL workflows orchestrated by multi-agent AI systems.
Federated Queries
Gain insights through intuitive visualizations of data and agent activity.
Pipeline Orchestration
Connect LLMs to distributed enterprise data with governed, unified control.
Running Jobs
Enable data and AI teams to act on shared context without switching tools.
Use Cases
Automate the full data engineering lifecycle with intelligent agents that build, run, and maintain your pipelines.
Explore Use Cases
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Data Warehousing

Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.

Explore Data Warehousing
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CAPABILITIES
Unified Analytical Layer
One execution surface across all enterprise data.
Compute Where Data Lives
Push execution to the data, not the other way around.
Distributed Execution
Run across cloud, on-prem, and edge seamlessly.
Open Data Architecture
Iceberg, Delta, Hudi, Parquet—no lock-in.
Centralized Governance
One policy model across every format and engine.
AI-Native Applications
Power copilots and autonomous apps on governed data.
Agentic Runtime

Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.

Explore
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CAPABILITIES
Unified Execution Runtime
One operational layer for agents in any framework.
Centralized Governance
Identity-aware policies across every agent and tool.
Sandboxed Execution
Isolated runtimes with policy-aware boundaries.
Scalable Deployment
Cloud, on-prem, and hybrid without re-platforming.
Agent Frameworks
LangGraph, CrewAI, AutoGen, OpenAI SDK, and more.
Autonomous Applications
Copilots, agents, and multi-agent systems on governed data.
Agentic Data Management

Build, deploy, and manage intelligent agents to automate and optimize data operations.

Explore ADM
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CAPABILITIES
Agentic Workflows
Design and run autonomous HITL workflows orchestrated by multi-agent AI systems.
Visualization
Gain insights through intuitive visualizations of data and agent activity.
MCP-DC
Connect LLMs to distributed enterprise data with governed, unified control.
Team Collaboration
Enable data and AI teams to act on shared context without switching tools.
Agent Validation
Ensure agent accuracy and reliability with built-in validation.
Agents
Data Quality
Continuously monitor and improve data accuracy and reliability.
Data Pipeline
Automate pipeline creation, monitoring, and optimization workflows.
Data Catalog
Organize and discover data assets with intelligent cataloging.
Data Reconciliation
Detect and resolve data inconsistencies across systems.
Incident Management
Identify, alert, and resolve data incidents in real time.
Use Cases
From pipeline automation to incident response—deploy intelligent agents that keep data operations running themselves.
Explore Use Cases
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Open Data Platform

An open-source data platform for Hadoop modernization, flexibility and control.

Explore
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Hadoop Observability

AI-powered observability and optimization for Hadoop and big data environments.

Explore
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CAPABILITIES
Open Source Foundation
Build on open-source Hadoop with more flexibility and control.
Flexible Deployment
Run on-prem, in the cloud, in hybrid environments, or on Kubernetes.
Phased Migration
Modernize with in-place, sidecar, or forklift migration paths.
Vendor Indepedence
Reduce lock-in and take control of your platform direction.
Curated Open Stack
Run a validated, production-ready open stack from storage to data science.
Spark Acceleration
Improve Spark performance with Gluten + Velox support.
Use Cases
From modernizing legacy Hadoop to migrating off Cloudera—see how you can solve your specific challenge.
CAPABILITIES
End to End visibilty
See clusters, jobs, queues, users, and cost in one place.
Faster RCA
Find issues faster across infrastructure, services, and jobs.
AI Powered Optimization
Reduce waste and improve performance on existing infrastructure.
Yarn Optimization
Reclaim capacity, boost throughput, and reduce queue pressure.
Guided Automation
Turn repeat issues into guided, repeatable actions.
Cost Visibility
Connect LLMs to distributed enterprise data with governed, unified control.
Use Cases
From firefighting to rising cost—see how you can solve your specific challenge.
Use Cases
From modernizing legacy Hadoop to migrating off Cloudera—see how you can solve your specific challenge.
Explore Use Cases
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Products
See ADM in Action
Experience how ADM automates data workflows and improves operational efficiency.
Take Product Tour
Industries

Browse solutions to help you solve the complex business challenges unique to your industry.

Explore Case Studies
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The Acceldata Difference for Financial Services

"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”

Resources

Browse materials to help you access the tools, guides, and insights essential to your workflows.

Acceldata’s ODP Spark with Gluten Velox
Experience how ADM automates data workflows and improves operational efficiency.
Download Whitepaper
New
Gartner® Report:
Market Guide for Data Observability Tools
Access Report
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New
Company

Learn about our mission, leadership, and vision driving modern data operations forward.

Acceldata Named to Forbes List of America’s Best Startup Employers
Continued recognition validates commitment to inclusive culture and AI-driven innovation
Read the article
About us
Learn about our mission, vision, and company journey.
Leadership
Meet the leaders driving innovation and strategy.
Why Acceldata
Discover what sets our platform and approach apart.
Customer Stories
See how customers succeed with our data solutions.
Newsroom
Read the latest company news and announcements.
Partners
Explore our partner ecosystem and collaborations.
Events
Join events, webinars, and industry sessions.
Podcasts
Listen to expert conversations on data and AI.
Analyst Corner
Access analyst insights and industry perspectives.
Careers
Explore opportunities and grow your career with us.
Contact us
Get in touch with our team for support or inquiries.
Pricing
Explore pricing options for our products and solutions.
Gartner® Report: How to Evaluate AI Data Readiness

How to assess AI data readiness across four stages.

Access Report
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New
Products
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Industry
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Resources
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Company
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Back
Platform Overview
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Data & AI Observability
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Agentic Data Management
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Agentic Data Engineering
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Data Warehousing
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Data Science
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Data Platform Modernization
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Back
Industries

Browse solutions to help you solve the complex business challenges unique to your industry.

Explore Case Studies
Right arrow
The Acceldata Difference for Financial Services

"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”

Decorative green flash graphic
Back
Resources

Browse materials to help you access the tools, guides, and insights essential to your workflows.

Acceldata’s ODP Spark with Gluten Velox
Experience how ADM automates data workflows and improves operational efficiency.
Download Whitepaper
New
Gartner® Report:
Market Guide for Data Observability Tools
Access Report
Right arrow
New
Decorative green flash graphic
Back
Company

Learn about our mission, leadership, and vision driving modern data operations forward.

Acceldata Named to Forbes List of America’s Best Startup Employers
Continued recognition validates commitment to inclusive culture and AI-driven innovation
Read the article
About us
Learn about our mission, vision, and company journey.
Leadership
Meet the leaders driving innovation and strategy.
Why Acceldata
Discover what sets our platform and approach apart.
Customer Stories
See how customers succeed with our data solutions.
Newsroom
Read the latest company news and announcements.
Partners
Explore our partner ecosystem and collaborations.
Events
Join events, webinars, and industry sessions.
Podcasts
Listen to expert conversations on data and AI.
Analyst Corner
Access analyst insights and industry perspectives.
Careers
Explore opportunities and grow your career with us.
Contact us
Get in touch with our team for support or inquiries.
Pricing
Explore pricing options for our products and solutions.
Gartner® Report: How to Evaluate AI Data Readiness

How to assess AI data readiness across four stages.

Access Report
Right arrow
New
Decorative green flash graphic
Back
Platform Overview

Everything you need to build, govern, and scale data and AI workloads—one unified platform.

xLake Architecture
Right arrow
CAPABILITIES
Manage your data estate under one platform
Explore Integrations
Decorative green flash graphic
Back
Data & AI Observability

Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.

Explore
Right arrow
Data Observability
Data Quality Policies
Set rules once and enforce them automatically across every data asset.
Data Reconciliation
Catch and fix data mismatches across data systems upstream/ downstream.
Anomaly Detection
Surface statistical outliers in production pipelines before they become incidents.
Data Profiling
Understand data freshness, completeness, and distribution without writing queries.
Alerts & Notifications
Get instant alerts with enough context to act, not just react.
Data Lineage
Trace end to end data flow across the entire pipeline.
Use Cases
From data quality to incident response—keep every pipeline trustworthy at scale.
AI Observability
Agent & LLM Tracing
End-to-end traces across prompts, models, retrieval, and tools.
Prompt & Evaluation Management
Version, evaluate, and optimize prompts before they ship.
AI Guardrails & Governance
PII controls, RBAC, audit trails, and policy enforcement for production AI.
Prod Monitoring & Dataset Flywheel
Continuously score production AI and turn failures into stronger test coverage.
Hadoop Observability
End to End visibilty
See clusters, jobs, queues, users, and cost in one place.
Faster RCA
Find issues faster across infrastructure, services, and jobs.
AI Powered Optimization
Reduce waste and improve performance on existing infrastructure.
Yarn Optimization
Reclaim capacity, boost throughput, and reduce queue pressure.
Guided Automation
Turn repeat issues into guided, repeatable actions.
Cost Visibility
Connect LLMs to distributed enterprise data with governed, unified control.
Use Cases
From firefighting to rising cost—see how you can solve your specific challenge.
Decorative green flash graphic
Back
Agentic Data Management

Build, deploy, and manage intelligent agents to automate and optimize data operations.

Explore ADM
Right arrow
CAPABILITIES
Agentic Workflows
Design and run autonomous HITL workflows orchestrated by multi-agent AI systems.
Visualization
Gain insights through intuitive visualizations of data and agent activity.
MCP-DC
Connect LLMs to distributed enterprise data with governed, unified control.
Team Collaboration
Enable data and AI teams to act on shared context without switching tools.
Agent Validation
Ensure agent accuracy and reliability with built-in validation.
Agents
Data Quality
Continuously monitor and improve data accuracy and reliability.
Data Pipeline
Automate pipeline creation, monitoring, and optimization workflows.
Data Catalog
Organize and discover data assets with intelligent cataloging.
Data Reconciliation
Detect and resolve data inconsistencies across systems.
Incident Management
Identify, alert, and resolve data incidents in real time.
Use Cases
From pipeline automation to incident response—deploy intelligent agents that keep data operations running themselves.
Explore Use Cases
Right arrow
Decorative green flash graphic
Back
Agentic Data Engineering

Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.

Explore ADE
Right arrow
CAPABILITIES
AI Pipelines
Design and run autonomous HITL workflows orchestrated by multi-agent AI systems.
Federated Queries
Gain insights through intuitive visualizations of data and agent activity.
Pipeline Orchestration
Connect LLMs to distributed enterprise data with governed, unified control.
Running Jobs
Enable data and AI teams to act on shared context without switching tools.
Use Cases
Automate the full data engineering lifecycle with intelligent agents that build, run, and maintain your pipelines.
Explore Use Cases
Right arrow
Decorative green flash graphic
Back
Data Warehousing

Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.

Explore Data Warehousing
Right arrow
CAPABILITIES
Unified Analytical Layer
One execution surface across all enterprise data.
Compute Where Data Lives
Push execution to the data, not the other way around.
Distributed Execution
Run across cloud, on-prem, and edge seamlessly.
Open Data Architecture
Iceberg, Delta, Hudi, Parquet—no lock-in.
Centralized Governance
One policy model across every format and engine.
AI-Native Applications
Power copilots and autonomous apps on governed data.
Decorative green flash graphic
Back
Agentic Runtime

Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.

Explore
Right arrow
CAPABILITIES
Unified Execution Runtime
One operational layer for agents in any framework.
Centralized Governance
Identity-aware policies across every agent and tool.
Sandboxed Execution
Isolated runtimes with policy-aware boundaries.
Scalable Deployment
Cloud, on-prem, and hybrid without re-platforming.
Agent Frameworks
LangGraph, CrewAI, AutoGen, OpenAI SDK, and more.
Autonomous Applications
Copilots, agents, and multi-agent systems on governed data.
Decorative green flash graphic
Back
Open Data Platform

An open-source data platform for Hadoop modernization, flexibility and control.

Explore
Right arrow
Hadoop Observability

AI-powered observability and optimization for Hadoop and big data environments.

Explore
Right arrow
CAPABILITIES
Open Source Foundation
Build on open-source Hadoop with more flexibility and control.
Flexible Deployment
Run on-prem, in the cloud, in hybrid environments, or on Kubernetes.
Phased Migration
Modernize with in-place, sidecar, or forklift migration paths.
Vendor Indepedence
Reduce lock-in and take control of your platform direction.
Curated Open Stack
Run a validated, production-ready open stack from storage to data science.
Spark Acceleration
Improve Spark performance with Gluten + Velox support.
Use Cases
From modernizing legacy Hadoop to migrating off Cloudera—see how you can solve your specific challenge.
CAPABILITIES
End to End visibilty
See clusters, jobs, queues, users, and cost in one place.
Faster RCA
Find issues faster across infrastructure, services, and jobs.
AI Powered Optimization
Reduce waste and improve performance on existing infrastructure.
Yarn Optimization
Reclaim capacity, boost throughput, and reduce queue pressure.
Guided Automation
Turn repeat issues into guided, repeatable actions.
Cost Visibility
Connect LLMs to distributed enterprise data with governed, unified control.
Use Cases
From firefighting to rising cost—see how you can solve your specific challenge.
Use Cases
From modernizing legacy Hadoop to migrating off Cloudera—see how you can solve your specific challenge.
Explore Use Cases
Right arrow
Pipeline Orchestration · Kubernetes-Native

Pipeline Orchestration
on Kubernetes - With Full Visibility

Runtime Visibility, Compute Control, fewer SLA Failures for enterprise-grade pipelines on your infrastructure — it's more than just success metrics.

Request a Pipeline Orchestration Demo
TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE
The Problem

The Problem With How Most Teams Run Pipelines Today

Most pipelines fail silently. xLake closes that gap.

False Positives, Invisible Problems

DAGs succeed while Spark jobs silently consume 3× expected resources and downstream tasks queue behind them

No Runtime Visibility

You can't see which queries are creating contention in the 8 PM scheduling window, only that something went wrong afterward

Managed compute lock-in

Platforms that handle orchestration for you do it on their infrastructure, at their pricing, under their constraints

Scaling ceilings

Legacy platforms hit concurrency limits you're now engineering around manually

Fragmented toolchains

Spark, Trino, and Python workloads each need separate tooling, separate logging, separate everything

Compute Control

Run Pipelines on Your Kubernetes. Keep Control of Your Compute.

xLake deploys directly onto your Kubernetes clusters — EKS, AKS, GKE, or on-premises. Your data stays in your environment. Your compute plane stays under your control.

Runtime Observability

See Inside Every Running Pipeline — Not Just Whether It Passed

More than just DAG Success Status. xLake answers questions that actually matter:

Why did that Spark job consume 40% more memory than last Tuesday?
Which Trino queries are creating contention in the 8 PM scheduling window?
What's the per-job resource footprint across every namespace?

Ship Pipelines Faster With AI-Assisted DAG Authoring

Describe a pipeline in plain language.  Upload an existing YAML or SQL spec. xLake generates the DAG. Your engineer reviews, adjusts, and ships.

1
xLake deployed inside your AWS VPC
2
Kubernetes Dashboard and DataPlane Helper ready
3
Control plane traffic secured — data operations never leave your VPC
4
Zero vendor access to your data. Zero egress surprises.
70%
Faster time-to-pipeline.
↓ 3×
Fewer authoring errors
4x
Engineering efficiency

Prevent SLA Failures Before They Happen

Smart job window recommendations:
Analyses historical cluster utilisation and surfaces optimal scheduling windows before you commit a run.
Conflict avoidance logic:
Identifies overlapping workloads across Spark, Trino, and Python jobs and calculates contention risk in advance.

One Control Plane. Every Workload Type.

Every cost driver that legacy platforms obscure or ignore — surfaced and resolved.

Native Kubernetes deployment on customer infrastructure
Per-job runtime observability at K8s namespace level
AI-assisted DAG generation from natural language / YAML / SQL
Conflict avoidance and smart scheduling windows
Unified orchestration across Spark, Trino, JupyterHub, Python
Data sovereignty — compute stays in your environment
xLake
Standard Orchestrators
Managed Compute Platforms
Partial
Limited
Manual Writing
Spark-primary

Built for teams Running at Enterprise Scale

Where pipeline failure is a business problem. Where a missed SLA has a cost. Where teams are accountable for both reliability and efficiency.

For teams managing dozens of concurrent pipelines across hybrid environments and hitting the limits of what your current orchestrator can observe and legacy platforms can scale — xLake is built for this.

100s
Concurrent pipelines managed
≥99.9%
SLA reliability target
4+
Workload types, one control plane
0
Data leaving your environment

Ready to get started

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Let our experts help you achieve your data observability goals.
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