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 long-term control.
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.
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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.
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AI-powered observability and optimization for Hadoop and big data environments.
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An open-source data platform for Hadoop modernization, flexibility, and long-term control.
CAMPBELL, Calif., Aug. 27, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leader in data observability and agentic data management, today announced the General Availability of its Agentic Data Management (ADM) platform. Designed for the AI-first enterprise, ADM marks a transformative leap from data observability—unifying governance, quality, catalog, and observability into an intelligent, agent-driven system.
As organizations race to harness AI, they face growing complexity and fragmentation across their data environments. Existing data catalog, governance, and quality tools were not built for the speed, scale, and adaptability required by AI-driven workloads. The result is high costs, wasted resources, and barriers to trusted AI adoption.
“AI is rewriting the rules of enterprise data management, and our customers need more than incremental improvements—they need a new foundation with fewer moving parts that deliver faster outcomes,” said Rohit Choudhary, Co-Founder and CEO of Acceldata. “With Acceldata ADM, we are enabling enterprises to move from static governance and monitoring to dynamic, agentic systems that anticipate needs, adapt in real time, and operate at scale.”
ADM delivers four key innovations:
Early adopters - some of the world’s largest banks, CPG, and Life Sciences companies - have reported significant outcomes, including about 65% lower operational costs, twice faster AI model deployment, and vastly improved compliance confidence.
The launch of ADM comes at a pivotal moment. According to Gartner® in Emerging Tech: Data Management Evolves From Stand-Alone Tools to Converged Platforms, “Organizations are inundated with data management products, pushing vendors to unify products into a single platform or risk losing customers.” Gartner further predicts that “by 2028, the fragmented data management markets will converge into a ‘single market’ around data ecosystems enabled by data fabric and generative AI (GenAI), reducing technology complexity and integration costs.”
Ashwin Rajeeva, Co-Founder and CTO of Acceldata, added: “With the xLake Reasoning Engine and MCP-DC, we are delivering breakthroughs that make enterprise AI practical and trustworthy. xLake Reasoning Engine gives enterprises the ability to reason over context and orchestrate governed actions to get their data AI-ready, while MCP-DC extends the Model Context Protocol with distributed compute so LLMs can securely and efficiently access data lakes at scale. Together, these innovations establish a foundation that no other platform in the market provides.”
Acceldata ADM is available immediately worldwide. For more information or to request a demo, visit https://www.acceldata.io.
Disclaimer
Gartner, Emerging Tech: Data Management Evolves From Stand-Alone Tools to Converged Platforms, Sharat Menon, Robert Thanaraj, Ehtisham Zaidi, Adam Ronthal, 20 May 2025
Gartner is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.
About Acceldata
Acceldata is the leader in data observability and agentic data management. The company’s platform enables enterprises to unify data quality, governance, and observability into an intelligent, AI-driven fabric. Trusted by Fortune 500 companies across industries, Acceldata empowers businesses to unlock the full potential of their data in the AI era.
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PR@Acceldata.io
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