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

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

xLake Architecture
CAPABILITIES
xLake Architecture
Build and run intelligent data and AI pipelines at scale.
xObserve
Observe cloud, hybrid and on-premise data.
xReasoning
A reasoning engine that understands your data estate continuously.
xGovern
Discover and manage data assets through a central catalog.
xRoute
Automate workflows with scheduling, dependencies, and retries.
OS Foundry
Built with proven and stable open source components.
Manage your data estate under one platform
Data & AI Observability

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

Explore
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
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
Data Warehousing

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

Explore Data Warehousing
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
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
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
Open Data Platform

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

Explore ODP
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.
Explore Use Cases
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
Financial Services
Ensure data reliability, compliance, and risk visibility.
Consumer Packaged Goods(CPG)
Optimize supply chains with trusted data insights.
Manufacturing
Improve efficiency with real-time data monitoring.
Retail
Enhance experiences with accurate, timely data.
Life Sciences
Ensure data integrity across research workflows.
Insurance
Improve risk and claims with reliable data.
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
Resource Library
Access guides, tools, and insights for data operations.
Customer Support
Get help and resolve issues with expert support.
Blog
Read insights, trends, and updates on data and AI.
Demos
Explore product capabilities through interactive demos.
Open Source
Discover open source tools and community contributions.
Documentation
Access technical docs, guides, and product references.
Trust Center
Review security, compliance, and data protection practices.
Customer Stories
See how customers succeed with Acceldata solutions.
ROI Calculator
Estimate value and cost savings from data observability.
Gartner® Report: How to Evaluate AI Data Readiness

How to assess AI data readiness across four stages.

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

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

Explore Case Studies
Financial Services
Ensure data reliability, compliance, and risk visibility.
Consumer Packaged Goods(CPG)
Optimize supply chains with trusted data insights.
Manufacturing
Improve efficiency with real-time data monitoring.
Retail
Enhance experiences with accurate, timely data.
Life Sciences
Ensure data integrity across research workflows.
Insurance
Improve risk and claims with reliable data.
The Acceldata Difference for Financial Services

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

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
Resource Library
Access guides, tools, and insights for data operations.
Customer Support
Get help and resolve issues with expert support.
Blog
Read insights, trends, and updates on data and AI.
Demos
Explore product capabilities through interactive demos.
Open Source
Discover open source tools and community contributions.
Documentation
Access technical docs, guides, and product references.
Trust Center
Review security, compliance, and data protection practices.
Customer Stories
See how customers succeed with Acceldata solutions.
ROI Calculator
Estimate value and cost savings from data observability.
Gartner® Report: How to Evaluate AI Data Readiness

How to assess AI data readiness across four stages.

Access Report
New
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
New
Back
Platform Overview

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

xLake Architecture
CAPABILITIES
xLake Architecture
Build and run intelligent data and AI pipelines at scale.
xObserve
Observe cloud, hybrid and on-premise data.
xReasoning
A reasoning engine that understands your data estate continuously.
xGovern
Discover and manage data assets through a central catalog.
xRoute
Automate workflows with scheduling, dependencies, and retries.
OS Foundry
Built with proven and stable open source components.
Manage your data estate under one platform
Back
Data & AI Observability

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

Explore
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.
Back
Agentic Data Management

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

Explore ADM
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
Back
Agentic Data Engineering

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

Explore ADE
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
Back
Data Warehousing

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

Explore Data Warehousing
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.
Back
Agentic Runtime

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

Explore
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.
Back
Open Data Platform

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

Explore ODP
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.
Explore Use Cases

Products

Platform Overview
Data & AI Observability
Agentic Data Management
Agentic Data Engineering
Data Warehousing
ML & AI Applications
Business Applications
Data Platform Modernization
Platform Overview

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Explore Platform
CAPABILITIES
Architecture
Build and run intelligent data and AI pipelines at scale.
xLake Reasoning
Query data across sources without moving or duplicating it.
Gov & Security
Monitor usage and optimize compute costs across environments.
Compute Cost Control
Automate workflows with scheduling, dependencies, and retries.
Unified Data Catalog
Discover and manage data assets through a central catalog.
OS Foundry
Track and troubleshoot jobs with real-time visibility.
Integrate All your needs and tools under one roof!
Data & AI Observability

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

Explore ADOC
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
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AI Observability
Runtime Observability
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LLM & Model Performance
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Guardrails and Runtime Safety
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Use Cases
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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
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Agentic Data Management

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

Explore ADM
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 Agent
Identify, alert, and resolve data incidents in real time.
Use Cases
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Explore Use Cases
Agentic Data Engineering

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Explore ADE
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
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Explore Use Cases
Data Warehousing

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

Explore Data Warehousing
CAPABILITIES
Engines
See clusters, jobs, queues, users, and cost in one place.
Scale
Find issues faster across infrastructure, services, and jobs.
Integrations
Reduce waste and improve performance on existing infrastructure.
Data Storage
Reclaim capacity, boost throughput, and reduce queue pressure.
Operations
Turn repeat issues into guided, repeatable actions.
Benchmarks
Track utilization, waste, and cost drivers more clearly.
Use Cases
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Explore Use Cases
ML & AI Applications

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Explore ML & AI Applications
CAPABILITIES
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See clusters, jobs, queues, users, and cost in one place.
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Find issues faster across infrastructure, services, and jobs.
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Reduce waste and improve performance on existing infrastructure.
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Reclaim capacity, boost throughput, and reduce queue pressure.
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Turn repeat issues into guided, repeatable actions.
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Track utilization, waste, and cost drivers more clearly.
Use Cases
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Explore Use Cases
Data & AI Observability

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Explore Business Applications
CAPABILITIES
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See clusters, jobs, queues, users, and cost in one place.
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Find issues faster across infrastructure, services, and jobs.
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Reduce waste and improve performance on existing infrastructure.
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Reclaim capacity, boost throughput, and reduce queue pressure.
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Turn repeat issues into guided, repeatable actions.
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Track utilization, waste, and cost drivers more clearly.
Use Cases
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Explore Use Cases
CAPABILITIES
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See clusters, jobs, queues, users, and cost in one place.
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Find issues faster across infrastructure, services, and jobs.
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Reduce waste and improve performance on existing infrastructure.
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Reclaim capacity, boost throughput, and reduce queue pressure.
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Turn repeat issues into guided, repeatable actions.
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Track utilization, waste, and cost drivers more clearly.
Open Data Platform

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

Explore ODP
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
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse sollicitudin mi nibh, et sodales
Explore Use Cases
See ADM in Action
Experience how ADM automates data workflows and improves operational efficiency.
Take Product Tour

Stop Rebuilding Pipelines. 

Run Any Workload, Anywhere.

One Platform. Any Workload. Any Environment.

Kubernetes-native data platform that runs Spark, Trino, Jupyter, and Airflow across hybrid and multi-cloud environments from a single control plane.

See xLake in Action
 Request a live demo
Decoupled compute and storage
Clusters size per workload type — ETL, ML, and SQL each get exactly what they need. Storage moves to object storage, cutting HDFS replication costs by 50–65%.
Kubernetes-native portability
Workloads run on-prem, on EKS, AKS, or GKE without code changes. A new environment is a configuration change, not a rewrite.
Unified governance
One policy definition. Consistent enforcement across Spark, Trino, and Jupyter. No shadow permissions.
AI-assisted orchestration
Plain-language intent becomes a scheduled, production-ready Airflow DAG — dependency resolution, retry logic, and triggers included.
Adaptive scaling
Compute adjusts to actual demand. 10–25% additional cost savings year-over-year, no manual tuning required.
TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE
Use Cases

What your data team can do now

Six use cases by enterprise teams running xLake in production today.

Use Case 1
Use Case 2
Use Case 3
Use Case 4
Use Case 5
USE CASE 1

Run Spark, Trino, and Jupyter Across Hybrid Environments — Without Refactoring

Problem
Your team writes a Spark job for on-prem. Migrating it to EKS takes two weeks of rework.
What xLake does
Runs Spark, Trino, and Jupyter natively across on-prem and all major Kubernetes distributions — no code changes.
Outcomes
98% 

workload reuse
Migrations
from weeks to hours
Engineers 

ship pipelines, not forks
USE CASE 2

Cut Infrastructure TCO by 35–45% With Workload-Specific Compute

Problem
Shared static clusters mean overprovisioning for the worst case or throttling your highest-priority workloads.
What xLake does
Separates storage from compute and sizes clusters per workload type.
Outcomes
35-45% 

TCO reduction
50–65%
storage savings vs. HDFS
10–25% 

additional compute savings YoY
USE CASE 3

Author and Schedule Pipelines in Minutes, Not Days

Problem
Translating business intent into a production DAG takes days. Backlogs grow. Business users wait.
What xLake does
 AI-assisted DAG authoring converts plain-language intent into a scheduled Airflow job — dependency resolution, retry logic, and triggers included.
Outcomes
Intent 

to production pipeline in minutes
Engineers
focus on logic, not boilerplate
Backlog 

reduction starts day
USE CASE 4

Govern Data Access Consistently Across Every Engine

Problem
Separate access policies across Spark, Trino, and Jupyter. Audit time arrives and nobody can produce a consistent access log.
What xLake does
Enforces access control through a unified catalog and policy layer covering every engine from a single control plane.
Outcomes
Unified

governance across all compute engines
No shadow
permissions or per-engine drift
Audit-ready 

logs from a single source of truth
USE CASE 5

Migrate Environments in Hours, Not Weeks

Problem
Cloud migrations and infrastructure refreshes take weeks. Engineers blocked on migration work instead of building.
What xLake does
Kubernetes-native architecture means workloads are already portable. A new environment is a configuration change, not a rewrite.
Outcomes
Migrations 

wreduced from weeks to hours
No
environment-specific refactoring
Team 

stays focused on product work

What xLake Delivers — At a Glance

What managed platforms hide — and what your engineers are burning hours trying to reconstruct manually.

Signal
What You See in xLake
Workload portability
98% reuse — no refactoring
Infrastructure cost
35–45% TCO reduction
Storage cost
50–65% savings vs. HDFS
Compute efficiency
10–25% YoY improvement
Pipeline authoring
Intent to scheduled job in minutes
Data governance
Unified policy layer across all engines
Environment migrations
Weeks reduced to hours

Dominate with Data

40%
reduction in pipeline
downtime
30%
faster time-to-model
deployment
25%
lower cluster costs
99.9%
SLA adherence on
migrated workloads

Ready to get started

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Platform

Platform OverviewxLake ArchitecturexObservexReasoningxGovernxRouteOS FoundryIntegrations

Products

Data & AI ObservabilityAgentic Data EngineeringCost OptimizationData WarehousingAgentic RuntimeAgentic Data ManagementData Platform Modernization

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Compare Acceldata

Acceldata vs ClouderaAcceldata vs Monte Carlo DataAcceldata vs BigeyeAcceldata vs DQ LabsAcceldata vs AnomaloAcceldata vs SlingshotAcceldata + Collibra

By Data Platform

SnowflakeDatabricksAWSHadoopGCPAzure

By Persona

Data EngineerData ExecutivePlatform EngineerDatabase AdminFinOps

By Initiative

Data Quality & ReliabilityData ReconciliationFinOps/Cost ManagementAI & LLM

Resources

Resource LibraryBlogDemosDocumentationCustomer StoriesCustomer SupportWhy Data ObservabilityOpen SourceTrust CenterROI CalculatorData Articles

Company

About usWhy AcceldataCustomer StoriesNewsroom PartnersEventsAnalyst CornerCareersOpen Interview ProcessContact Us
Agentic Data Management Platform
Copyright © Acceldata 2026. All rights reserved.
Privacy Policy
Cookies
SaaS Terms & conditions
Terms of use
Bug Bounty