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

Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
An open-source data platform for Hadoop modernization, flexibility and control.
AI-powered observability and optimization for Hadoop and big data environments.
Browse solutions to help you solve the complex business challenges unique to your industry.
"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
"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
"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
"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
"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
"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
Browse materials to help you access the tools, guides, and insights essential to your workflows.
Learn about our mission, leadership, and vision driving modern data operations forward.
How to assess AI data readiness across four stages.
Browse solutions to help you solve the complex business challenges unique to your industry.
"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
Browse materials to help you access the tools, guides, and insights essential to your workflows.
Learn about our mission, leadership, and vision driving modern data operations forward.
How to assess AI data readiness across four stages.
Everything you need to build, govern, and scale data and AI workloads—one unified platform.

Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
An open-source data platform for Hadoop modernization, flexibility and control.
AI-powered observability and optimization for Hadoop and big data environments.
To make data an asset, enterprises need data observability.
This emerging discipline includes data quality observability, which studies the accuracy and timeliness of data in flight or at rest, and data pipeline observability, which studies the performance of data pipelines as well as the infrastructure that support them.
Data observability programs and solutions should address these ten use cases across four categories:
This report from the Eckerson Group defines data observability, including its challenges and benefits. Then we explore use cases for preparing, operating, and adjusting data environments, as well as managing the business aspects of analytics projects and applications.
Eckerson Group is a research and consulting firm that helps business leaders use data and technology to drive better insights and actions.
It is the industry’s go-to provider for research, data strategy, data architecture, data science, data warehousing, and data governance.
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