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Open Data Platform (ODP)

Build your modern data platform on a secure, flexible, and vendor-free foundation—optimized for scale, hybrid deployments, and AI-driven operations.

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Trusted by the World’s Leading Enterprises

ODP Modernization Vision

ODP unifies processing, orchestration, storage, and security into a flexible, open platform—enabling faster innovation, seamless upgrades, and AI-ready data operations across hybrid environments.

Infrastructure Compatibility

ODP supports on-prem, cloud, and containerized deployments—including AWS, Azure, GCP, and Kubernetes—and is designed to help modernize

Amazon AWS
Microsoft Azure
Google GCP
On-Premise
Compute
Storage
Backend DB
EC2, EKS
Disk Mounts, S3
RDS (MySQL/ Postgres)
Compute
Storage
Backend DB
Virtual Machine (VM), AKS
ADLS v2, Disk Mounts
Azure SQL (MySQL/ Postgres)
Compute
Storage
Backend DB
Virtual Machine (VM), GKE
Disk Mounts, GCS
Cloud SQL (MySQL/ Postgres)
Compute
Storage
Backend DB
Virtual Machine (VM), Bare Metal (BM) Servers, Kubernetes
Disk Mounts (JBOD, RAID, SAN), Dell Isilon, S3, ADLS V2, GCS
Postgres, MySQL, Oracle

Discover What’s New with ODP

ODP v3.3.6.1-1 & v3.3.6.2-1 Release Highlights
Modernized infrastructure with RHEL 9, Ubuntu 22, and Oracle 19c support.
Faster real-time analytics
with Pinot, Trino, and ClickHouse.
Streamlined AI/ML
workflows using
JupyterHub and MLflow.
Watch on Youtube

Your Migration, Your Terms

ODP offers three flexible migration strategies to help you modernize your data platform with minimal disruption—no matter your starting point.

In-Place Upgrade
Sidecar Upgrade
Forklift Upgrade

In-Place Upgrade

ODP offers three flexible migration strategies to help you modernize your data platform with minimal disruption—no matter your starting point.

No additional hardware required.
In-place process with guided runbooks.
Planned 8-hour maintenance window.
Rollback-ready in under 4 hours.

Sidecar Upgrade

Stand up a new ODP cluster—on-prem or in the cloud—and move workloads in phases.

Zero impact on existing cluster.
Phased migration of jobs and data.
Ideal for cloud adoption or full platform refresh.
Fast rollback and transition flexibility.

Forklift Upgrade

Stand up a new ODP cluster—on-prem or in the cloud—and move workloads in phases.

Zero impact on existing cluster.
Phased migration of jobs and data.
Ideal for cloud adoption or full platform refresh.
Fast rollback and transition flexibility.

In-Place Upgrade

ODP offers three flexible migration strategies to help you modernize your data platform with minimal disruption—no matter your starting point.

No additional hardware required.
In-place process with guided runbooks.
Planned 8-hour maintenance window.
Rollback-ready in under 4 hours.

Sidecar Upgrade

Deploy ODP alongside your current cluster and migrate incrementally.
‍

Parallel deployment with performance benchmarking.
Gradual job migration.
Optional data forking or dual hosting.
Minimal downtime with instant rollback.

Forklift Upgrade

Stand up a new ODP cluster—on-prem or in the cloud—and move workloads in phases.

Zero impact on existing cluster.
Phased migration of jobs and data.
Ideal for cloud adoption or full platform refresh.
Fast rollback and transition flexibility.

Why Choose ODP?

Modernize with an open, flexible, and enterprise-ready data platform.

Licensing
Architecture
Deployment
Security & Updates
Cost Efficiency
Innovation
Proprietary Hadoop
Vendor-controlled
Tightly coupled
Primarily on-prem
Slower vendor-managed cycles
High total cost of ownership
Vendor-led roadmap
Open Data Platform (ODP)
Fully open source, no vendor lock-in
Modular and upgradeable
Cloud, hybrid, and Kubernetes-ready
Enterprise-grade with faster iteration
No license fees, optimized TCO
Community-driven, Apache-aligned

ODP Spark with
Gluten Velox

Achieve up to 3× faster Spark performance and cut costs by $150K–$300K annually with Acceldata’s vectorized execution on ODP.

Download Whitepaper
Read Blog

ODP Advantages

ODP combines open-source flexibility with the scale, stability, and support enterprises need to modernize with confidence—without vendor constraints.

No Vendor Lock-In
Stay in control of your data strategy without restrictive licensing.
Fully Open Source
Powered by trusted, community-driven technologies.
Flexible Deployment
Run on public cloud, private cloud, or hybrid—your choice.
Cost-Effective at Scale
Lower TCO with no licensing fees or hidden costs.
Enterprise-Grade Support
Get expert guidance and fast issue resolution at scale.
AI-Ready Architecture
Built to support intelligent automation, observability, and agent-driven operations.

Our users love us

Thanks to Acceldata, we finally divorced Cloudera.

No more paying the ransom — the transition was smooth, the relief is real, and we're saving a ton of money. Highly recommend making the move."

Peter Huang
Senior Director, T-Mobile
Watch Video
ODP isn’t just an alternative to CDP — it’s better.

Smooth installs, real-time visibility with Pulse, and zero-downtime upgrades. Expert support made even our OS upgrade seamless. Glad we made the switch.”

Siva Reddy
App / Sw Development, Enterprise
Read Full Review
Pulse gave us the visibility we didn’t know we were missing.

Zero-touch ops, real-time insights, and full control — all within weeks. Fast, dependable support. A game-changer for modern data operations.”

Arunkumar S.
Client Engagement Partner, T-Mobile
Read Full Review
See ODP in action?

Modernize with Open Data Platform (ODP)

Build your modern data platform on a secure, flexible, and vendor-free foundation—optimized for scale, hybrid deployments, and AI-driven operations.

Book Consultation
Get Guide
Trusted by the World’s Leading Enterprises

ODP Modernization Vision

ODP unifies processing, orchestration, storage, and security into a flexible, open platform—enabling faster innovation, seamless upgrades, and AI-ready data operations across hybrid environments.

Infrastructure Compatibility

ODP supports on-prem, cloud, and containerized deployments—including AWS, Azure, GCP, and Kubernetes—and is designed to help modernize enterprise environments built on legacy Hadoop distributions.

Amazon AWS
Microsoft Azure
Google GCP
On-Premise
Compute: EC2, EKS
Storage: Disk Mounts, S3
Backend DB: RDS (MySQL/Postgres)
Compute : Virtual Machine (VM), AKS
Storage : ADLS v2, Disk Mounts
Backend DB : Azure SQL (MySQL/Postgres)
Compute : Virtual Machine (VM), GKE
Storage : Disk Mounts, GCS
Backend DB : Cloud SQL (MySQL/Postgres)
Compute : Virtual Machine (VM), Bare Metal (BM) Servers, Kubernetes
Storage : Disk Mounts (JBOD, RAID, SAN), Dell Isilon, S3, ADLS V2, GCS
Backend DB : Postgres, MySQL, Oracle
Validate your compatibility across cloud or on-prem—speak with our experts.
Talk to Us

Discover What’s New with ODP

ODP v3.3.6.1-1 & v3.3.6.2-1 Release Highlights
Modernized infrastructure with RHEL 9, Ubuntu 22, and Oracle 19c support
Faster real-time analytics with Pinot, Trino, and ClickHouse
Streamlined AI/ML workflows using JupyterHub and MLflow
Enhanced storage with Kudu, Ozone, Delta Lake, Iceberg, and Hudi
2,100+ security fixes and major upgrades for enterprise stability
Watch on Youtube

Your Migration, Your Terms

ODP offers three flexible migration strategies to help you modernize your data platform with minimal disruption—no matter your starting point.

1.In-Place Upgrade
2.Sidecar Upgrade
3.Forklift Upgrade
Upgrade your existing cluster without new infrastructure or data movement.
No additional hardware required.
In-place process with guided runbooks.
Planned 8-hour maintenance window.
Rollback-ready in under 4 hours.
Deploy ODP alongside your current cluster and migrate incrementally.
Parallel deployment with performance benchmarking.
Gradual job migration.
Optional data forking or dual hosting.
Minimal downtime with instant rollback.
Stand up a new ODP cluster—on-prem or in the cloud—and move workloads in phases.
Zero impact on existing cluster.
Phased migration of jobs and data.
Ideal for cloud adoption or full platform refresh.
Fast rollback and transition flexibility.

Why Choose ODP?

Modernize with an open, flexible, and enterprise-ready data platform.

Features
Proprietary Platforms
Open Data Platform (ODP)
Licensing
Vendor-controlled
Fully open source, no vendor lock-in
Architecture
Tightly coupled
Modular and upgradeable
Deployment
Primarily on-prem
Cloud, hybrid, and Kubernetes-ready
Security & Updates
Slower vendor-managed cycles
Enterprise-grade with faster iteration
Cost Efficiency
High total cost of ownership
No license fees, optimized TCO
Innovation
Vendor-led roadmap
Community-driven, Apache-aligned
Observability
External tools required
Seamlessly integrates with Acceldata Pulse

ODP Spark with Gluten Velox

Achieve up to 3× faster Spark performance and cut costs by $150K–$300K annually with Acceldata’s vectorized execution on ODP.

Download Whitepaper

ODP Advantages

ODP combines open-source flexibility with the scale, stability, and support enterprises need to modernize with confidence—without vendor constraints.

No Vendor Lock-In

Stay in control of your data strategy without restrictive licensing.

Fully Open Source

Powered by trusted, community-driven technologies.

Flexible Deployment

Run on public cloud, private cloud, or hybrid—your choice.

Cost-Effective at Scale

Lower TCO with no licensing fees or hidden costs.

Enterprise-Grade Support

Get expert guidance and fast issue resolution at scale.

AI-Ready Architecture

Built to support intelligent automation, observability, and agent-driven operations.
ODP isn’t just an alternative to CDP — it’s better.

Smooth installs, real-time visibility with Pulse, and zero-downtime upgrades. Expert support made even our OS upgrade seamless. Glad we made the switch.”

Siva Reddy
‍App / Sw Development, Enterprise
Read Full Review
Pulse gave us the visibility we didn’t know we were missing.

Zero-touch ops, real-time insights, and full control — all within weeks. Fast, dependable support. A game-changer for modern data operations.”

Arunkumar S.
‍Client Engagement Partner, T-Mobile
Read Full Review
Read all reviews on G2

Jebastin R.

SRE - Enterprise
The HBase visualization which no where in the market we can find and ultimate alert integration for all components in Hadoop ecosystem

Acceldata User

Enterprise (>1000 emp.)
Ease of monitoring of HDFS service. Can create custom dashboards for HDFS small files, which helps in reduction in high block count.

Siva Reddy

Application / SW Development / Support - Enterprise
The seamless integration of the monitoring tool Pulse with ODP provides comprehensive statistics of components and alerts, which I find to be remarkably impressive.

Acceldata User

Mid-Market (51 - 1000 emp.)
From the Pulse Product it has become very easy to navigate the HDFS and find minute details where the problem lies.

FNU R.

Data Infra Architect - Small - Business (50 or Fewer emp.)
Very useful in troubleshooting Spark and Hive issues and also proactively keeping the services/cluster healthy.

Prashanth. S

Director, Platform Engineering and Data Operations - Enterprise (>1000 emp)
Acceldata has been instrumental in enhancing our data platform management capabilities. Their solutions not only ensure platform stability but also drive significant cost savings.
Thanks to Acceldata, we finally divorced Cloudera.

No more paying the ransom — the transition was smooth, the relief is real, and we're saving a ton of money. Highly recommend making the move."

Peter Huang
‍Senior Director, T-Mobile
Watch Video
Watch Video

See ODP in action?

Book Free Consultation

PhonePe Scales Seamlessly and Supports Hyper-Growth

Acceldata supports our hyper-growth, managing one of the world's largest instant payment systems. PhonePe's data infrastructure reliability wouldn't be possible without Acceldata.
Burzin Engineer, Founder & Chief Reliability Officer, PhonePe
46%
improvement in data quality
Read Customer Story
Acceldata supports our hyper-growth, managing one of the world's largest instant payment systems. PhonePe's data infrastructure reliability wouldn't be possible without Acceldata.
Burzin Engineer, Founder & Chief Reliability Officer, PhonePe

Pubmatic Automates and Optimizes Big Data Performance

Acceldata isolated bottlenecks, automated performance, and optimized data to scale our big data environments and support critical analytics.
Ashwin Prakash, Engineering Leader, Pubmatic
$2M
saved annually on OEM costs
Read Customer Story
Acceldata isolated bottlenecks, automated performance, and optimized data to scale our big data environments and support critical analytics.
Ashwin Prakash, Engineering Leader, Pubmatic

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Memory
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Resolve

Products

ADMADOCCost OptimizationPulse (Data Observability for Hadoop)Open Data Platform (Hadoop)

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