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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 long-term 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.
"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”
Browse materials to help you access the tools, guides, and insights essential to your workflows.
How to assess AI data readiness across four stages.
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.
"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”
Browse materials to help you access the tools, guides, and insights essential to your workflows.
How to assess AI data readiness across four stages.
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 long-term control.
AI-powered observability and optimization for Hadoop and big data environments.
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Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse sollicitudin mi nibh
AI-powered observability and optimization for Hadoop and big data environments.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse sollicitudin
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse so
An open-source data platform for Hadoop modernization, flexibility, and long-term control.
CAMPBELL, Calif., September 2025 – Acceldata, the leader in data observability and agentic data management, today announced the release of its 2025 AI Readiness & Data Management Benchmark Report. This first-of-its-kind study provides a framework for how enterprises measure, evaluate, and improve the performance of their data organizations in the era of AI and autonomous operations.
“AI has fundamentally changed the stakes for enterprise data management. It’s no longer about just moving and storing data—it’s about delivering trusted, resilient, and AI-ready data at scale,” said Rohit Choudhary, CEO and co-founder of Acceldata. “This benchmark gives organizations a consistent way to evaluate readiness, identify gaps, and prioritize the improvements needed to thrive in an AI-native economy.”
The AI Readiness & Data Management Benchmark Report is based on a survey of over 150 senior data leaders (VP-level or above) conducted by GLG, an independent third party. Respondents represented some of the world’s largest enterprises, with 57% generating more than $5B in revenue and 45% managing data teams of over 250 professionals. Findings reveal persistent challenges as AI adoption accelerates:
The benchmark introduces three domains to evaluate enterprise data maturity:
Together, these domains help leaders shift from fragmented, reactive operations to integrated, intelligent, and agentic platforms.
“In today’s AI-driven landscape, the difference between a laggard and a leader comes down to how reliably they can deliver AI-ready data,” said Ashwin Rajeeva, CTO of Acceldata. “Our benchmark makes it clear: the future belongs to organizations that ensure trust, velocity, and readiness. Those that don’t will face brittle systems, rising costs, and growing risk.”
Acceldata’s framework provides:
As the report concludes: “The future belongs to data systems that are integrated, intelligent, and intentional. It’s time to re-platform for the AI-native enterprise.”
The Acceldata AI Readiness & Data Management Benchmark Report is available now. To download the full report, visit Acceldata Benchmark Report Page.
Founded in 2018, Campbell, CA-based Acceldata is the leader in data observability and agentic data management. The company’s platform unifies data quality, governance, and observability into an intelligent, AI-driven fabric. Trusted by Fortune 500 companies worldwide, Acceldata empowers businesses to unlock the full potential of their data in the AI era. Customers include Dun & Bradstreet, PubMatic, PhonePe (Walmart), HCSC, and more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, Prosperity7, and Emergent Ventures.
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