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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.
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.
Browse solutions to help you solve the complex business challenges unique to your industry.
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.
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.
An enterprise-ready data platform built for scale, flexibility, vendor independence, and AI readiness.
Get the best of open-source Hadoop with modern capabilities that unify processing, orchestration, storage, and security for AI-ready operations.
ODP combines the flexibility of open source with the scale, stability, and support enterprises need to modernize with confidence.
Modernize your data platform across on-prem, cloud, and Kubernetes environments with more flexibility and control.
Choose the right migration path to modernize with less disruption, lower risk, and more control.
Upgrade your existing cluster without new infrastructure or data movement.
Deploy ODP alongside your current cluster and migrate incrementally.
Stand up a new ODP cluster—on-prem or in the cloud—and move workloads in phases.
Run Spark up to 3x faster and cut infrastructure costs with vectorized execution on ODP.
Modernize with an open, flexible, enterprise-ready data platform built for greater control, lower lock-in, and long-term efficiency.
Acceldata Open Data Platform (ODP) is an open-source Hadoop-based data platform that gives you more control over how your data platform is deployed, managed, and evolved. It combines the foundation of open-source Hadoop with modern capabilities for processing, orchestration, storage, and security.
Yes. ODP is built for organizations looking for a more open, flexible alternative to proprietary Hadoop platforms like Cloudera CDP. It helps reduce vendor lock-in while giving you more control over upgrades, architecture, and long-term platform direction.
ODP is a strong fit if you want to modernize Hadoop, reduce vendor dependence, lower license and long-term platform costs, and build on open-source technologies without losing enterprise scale or support.
ODP helps you modernize Hadoop by combining the foundation of open-source Hadoop with more modern data platform capabilities. It supports a broader, more flexible path forward beyond legacy-only Hadoop environments.
Yes. ODP supports on-prem, cloud, hybrid, and Kubernetes-based deployments, so you can choose the model that best fits your infrastructure, governance, and operating needs.
ODP supports multiple migration paths, including in-place upgrades, sidecar deployments, and forklift migrations. This lets you choose the path that works best for your current setup, business timeline, and modernization needs.
If your priority is improving visibility, performance, and efficiency in your current Hadoop environment first, Acceldata Pulse is built for that. Pulse can also support ODP environments, giving you a clear path from optimization today to modernization over time. Learn more about Pulse.
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