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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.
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.
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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.
ODP combines the flexibility of open source with the scale, stability, and support enterprises need to modernize with confidence.
Get the best of open-source Hadoop with modern capabilities that unify processing, orchestration, storage, and security for AI-ready operations.
If you haven't moved off Cloudera, I highly recommend you do. With 2,000+ nodes, I couldn't sleep before — worrying about how I'd ever get out. Thanks to Acceldata, the divorce finally happened, seamlessly. No more paying the ransom — the relief is real, and we're saving a ton of money."
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.
Deploy ODP alongside your current cluster and migrate incrementally.
Upgrade your existing cluster without new infrastructure or data movement.
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.
Over the last couple of decades I've run many migrations, but never been this relaxed. To reduce business risk, we chose a staggered migration for our few-thousand-node CDP cluster, running multiple services and 20+ live applications. And thanks to the Acceldata support and engineering team, I've hardly heard of an issue, it's on track, and — music to my ears — it's completing ahead of schedule."
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.
Yes. ODP removes per-node proprietary license fees and is fully open-source, so most enterprises significantly lower total cost of ownership. Combined with Acceldata Pulse, customers reclaim capacity and cut infrastructure spend even further.
ODP bundles Apache Gluten and Velox for vectorized execution, running Spark workloads up to 3× faster while reducing the compute needed for the same jobs.
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.
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 three migration paths: in-place, sidecar, and forklift. In-place upgrades use a planned maintenance window with rollback in under 4 hours; sidecar and forklift paths allow gradual migration with minimal disruption. You choose the path that fits your timeline and risk tolerance.
If your priority is improving visibility, performance, and efficiency in your current Hadoop environment first, start with Acceldata Pulse. If you're ready for broader modernization and vendor independence, move to ODP. Pulse also monitors and optimizes ODP environments, giving you a clear path from optimization today to modernization over time. Learn more about Pulse.
