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

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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.

The Acceldata Difference for Financial Services

"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
‍
— SVP, Consumer Data Products, Top National Consumer Bank

4+ hrs → 15 min
to validate critical lending data
Learn More
The Acceldata Difference for Consumer Packaged Goods

"Automated SQL generation could take us from about 20 data quality rules a month to 100 or 200; shortening turnaround times and reducing our dependence on technical teams."‍

— Product Manager, World's Largest Food and Beverage Company

40+
enterprise data products with unified health visibility
Learn More
The Acceldata Difference for Manufacturing

"FP&A and Supply Chain have greater visibility into forecast scenarios with integrated Salesforce data. This allows Data SMEs to focus on supporting growing business needs instead of firefighting issues."
‍
— VP of AI and Data Analytics, Global Manufacturing Provider

20% → 90%
‍
sales forecast confidence score
Learn More
The Acceldata Difference for Financial Services

"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
‍
— SVP, Consumer Data Products, Top National Consumer Bank

4+ hrs → 15 min
to validate critical lending data
Learn More
The Acceldata Difference for Life Sciences

"As we continue to scale our R&D domains, Acceldata's consistent baseline quality metrics has helped us certify data products sooner and give agentic AI pipelines faster access to trusted, governed data."
‍
— Enterprise Data Governance & Global MDM Lead, Top Global Biopharma Company

39 mos → 12 mos
to clinical candidate selection
Learn More
The Acceldata Difference for Financial Services

"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
‍
— SVP, Consumer Data Products, Top National Consumer Bank

4+ hrs → 15 min
to validate critical lending data
Learn More
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
Acceldata Named a Leader in the 2026 ISG Buyers Guide™ for Data Quality and Data Observability
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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Platform Overview
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Data & AI Observability
Decorative green flash graphic
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
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The Acceldata Difference for Financial Services

"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
‍
— SVP, Consumer Data Products, Top National Consumer Bank

4+ hrs → 15 min
to validate critical lending data
Learn More
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
Acceldata Named a Leader in the 2026 ISG Buyers Guide™ for Data Quality and Data Observability
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

Unified Analytical Runtime

One intelligent abstraction layer unifying analytics, AI applications, and large-scale data processing—across every data system, format, and infrastructure environment.

Talk to Architect
TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Dominate with Data

10x
Faster with Velox
Vectorized
execution engine
Zero
Data Duplication
Query in-place architecture
100%
Workload Isolation
Dedicated
compute pools
<100ms
Query Latency
For cached
datasets
The Approach

One Abstraction Across All Enterprise Data

The platform abstracts storage, compute, execution, and access into a single analytical surface—without moving or duplicating data.

Unified Analytical Layer
One semantic and execution surface across every dataset—lakes, warehouses, streams, and AI stores.
Centralized Governance
Consistent access control, lineage, and policy enforcement spanning all infrastructure.
Distributed Execution
Seamless execution across cloud, on-prem, and edge—without moving or duplicating data.
Execution Model

Compute Executes Where the Data Lives

Instead of centralizing compute, the runtime pushes execution into the infrastructure layers your data already lives in. Engines are an implementation detail—not a choice users have to make.

Interactive
Warehouse-Scale Analytics
Sub-second SQL across federated sources for BI, exploration, and AI applications.
Trino
Distributed
Large-Scale Processing
Heavy ETL, AI feature engineering, and petabyte-scale transformation pipelines.
Spark
Hybrid
Real-Time + Batch
Streaming and batch workloads composed under one runtime, one governance model.
Unified
Open Architecture

Built on Open Data Architecture

The platform is designed around open table and file formats—ensuring interoperability across engines, clouds, and storage systems.

Applications, analytics, and AI systems operate on the same governed foundation without duplication or proprietary storage.

Zero vendor lock-in
Portable data architectures
Shared datasets across engines
Unified governance across all formats
Iceberg
Delta Lake
Hudi
Parquet
ORC
Avro
AI-Native

Powering the Next Generation of Data Applications

A unified runtime for the same class of experiences as Databricks Genie and Snowflake Cortex—except your applications interact with one governed analytical layer instead of isolated systems.

Conversational Analytics
Natural-language access to governed enterprise data—answers, not queries.
AI Copilots
Embedded assistants that reason over the same analytical layer your apps use.
Autonomous Data Apps
Agentic workflows that observe, decide, and act on enterprise data continuously.
Intelligent Assistants
Domain-aware enterprise assistants grounded in unified, governed context.
Continuum of Scale

From Interactive Analytics to Massive Data Processing

One platform spans interactive business analytics, SQL workloads, distributed ETL, AI feature engineering, and autonomous workflows.

The runtime scales dynamically between low-latency execution and large-scale distributed processing through a unified execution architecture.

Outcomes

What changes when analytical execution becomes a single runtime.

One abstraction across all enterprise data
Open and interoperable architecture
Unified governance across formats and engines
Interactive analytics + processing at scale
AI-native applications on governed data
Reduced operational complexity
No proprietary storage lock-in

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