Open Data Platform (ODP)

The Ultimate "Interoperable Data & AI Platform" for
Data-Driven Enterprises

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

About ODP

ODP, or Open Data Platform, is an innovative "Interoperable Data & AI Platform" initiative developed by the Acceldata team. It is designed to empower data-driven enterprises by leveraging the Apache Hadoop ecosystem and other open-source data platform software. This initiative offers enterprises a wide array of benefits, including freedom from vendor lock-in, access to a global community of stakeholders, rapid resolution of security vulnerabilities, active participation in open-source development, and expert implementation and support management.

Get the ODP Advantage

  • Open-Source Testing: ODP is fully open-source and tested with the latest code.‍
  • Deployment and Version Control: It offers an easy deployment process and version-controlled repository.‍
  • Cost-Effective Scalability: ODP provides a cost-effective and scalable solution for data platforms.‍
  • Augmented Support: Offers experienced customer support for managing large clusters.‍
  • Industry-Standard Stack: It utilizes a stack deployed by leading organizations, ensuring reliability.‍
  • Vendor Lock-In Avoidance: Enterprises can continue their Hadoop journey without vendor lock-in.‍
  • Global Community Access: ODP provides access to a global community for collaboration.‍
  • Swift Security Patching: Faster resolution of security vulnerabilities ensures compliance.‍
  • Open Source Contribution: Enterprises can actively contribute to the open-source ecosystem.‍
  • Flexible Deployment: Supports public, private, and hybrid environments.‍
  • Agility via Mpacks: Enables running multiple instances of components for flexibility.

No Vendor Lock-In

Freely navigate your Hadoop journey.

Open-Source

Fully open-source and community-tested.

Easy Deployment

Streamlined process with version control.

Cost-Effective Scalability

Affordable and scalable data solutions.

Reliable Support

Expert assistance for managing large clusters.

Flexible Environments

Compatible with public, private, and hybrid deployments.

ODP Architecture

You Choose When and How to Migrate

We work with your choices about when and how to upgrade. You can confidently migrate on your own schedule with any of the three following options. All options have been proven with enterprises that operate at a petabyte scale.

In Place Upgrades

Don’t have the budget for new infra to upgrade? This approach will allow to upgrade cluster by saving resources in a planned maintenance window.

Side Car Upgrades

Upgrade with low maintenance and sufficient breathing period to validate ODP.

Fork-Lift Upgrades

Build a parallel ODP cluster either on-prem/on-cloud and migrate.

In Place Upgrades

Hard to monitor pipeline failures manually?  Acceldata’s shift-left approach monitors pipelines from the landing zone to the consumption
Advantages
No additional infrastructure needed.
Zero movement of data.
Installs in parallel to current hadoop binaries.
Preparation
Requires 8 hrs of downtime.
Requires 4 hrs to rollback.
Requires jobs to be aligned/modified prior to upgrade if the jobs are aligned to legacy jars.

Side Car Upgrades

Migrate to ODP with existing and new HDFS and clusters without directly replacing or modifying the existing Hadoop components.
Advantages
Can be provisioned directly on cloud infra
Minimal downtime needed for upgrade (< 1hr)
Minimal downtime needed for rollback (< 1hr)
Jobs can be moved in batches between
Preparation
Parallel hosting/infra cost till the time of cutover
Requires data movement from legacy to ODP cluster

Fork-Lift Upgrades

Build a parallel ODP cluster either on-prem/on-cloud and migrate.
Advantages
Can be provisioned directly on cloud infra. Does NOT require a second migration approach when adopting to cloud
Minimal downtime needed for upgrade (< 1hr)
Minimal downtime needed for rollback (< 1hr)
Jobs can be moved in batches between clusters
Preparation
Additional parallel hosting/infra cost till the time of cutover
Requires data movement from legacy to ODP cluster

Why Choose ODP?

Licensing Costs
Support Fees
Upgrade Pressure
Cloud Migration
Ease of Administration
Product Updates
Proprietary Hadoop

Funnel optimization

High costs per node with annual increases.

Advanced charts

Expensive fees for basic support.

Data enrichment

Forced upgrades due to limited legacy support.

Sales dashboard

No clear options.

Sales dashboard

Limited to basic cluster management.

Email and chat support

Minimal innovation or updates.

ODP

Funnel optimization

100% open-source, no licensing fees.

Advanced charts

Save over 50% compared to proprietary options.

Data enrichment

Upgrade on your terms, compatible with your current Hadoop version.

Sales dashboard

Flexible migration options at your discretion.

Sales dashboard

Seamlessly integrated with Pulse, our advanced data observability suite for Hadoop.

Premium support

Regular updates ensure continuous improvement.

Licensing Costs

Proprietary Hadoop

High costs per node with annual increases.

ODP

100% open-source, no licensing fees.

Support Fees

Proprietary Hadoop

Expensive fees for basic support.

ODP

Save over 50% compared to proprietary options.

Upgrade Pressure

Proprietary Hadoop

Forced upgrades due to limited legacy support.

ODP

Upgrade on your terms, compatible with your current Hadoop version.

Cloud Migration

Proprietary Hadoop

No clear options.

ODP

Flexible migration options at your discretion.

Ease of Administration

Proprietary Hadoop

Limited to basic cluster management.

ODP

Seamlessly integrated with Pulse, our advanced data observability suite for Hadoop.

Product Updates:

Proprietary Hadoop

Minimal innovation or updates.

ODP

Regular updates ensure continuous improvement.

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Users Love Us

Read all reviews on G2

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. 
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Nataraj. S

Principal Engineer - Enterprise (> 1000 emp.)
Acceldata ODP product is a good alternative to HDP. The open source aspect of this product helps in getting new features integrated quickly. 
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Thirumurugan. K

General Manager - Enterprise (> 1000 emp.) 
We are getting timely support for all the tickets. We are not seeing any specific issues with the Acceldata related to their services and support. 
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Acceldata User

Enterprise (>1000 employees) 
Acceldata is helping us with Big Data processing that is not for statistical analysis. We use ODP in a unique way as our back-end auditing machine.
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Venkata Chaitanya E.

Director - Enterprise
We recently started moving to Apache Hadoop and outside world no one providing Apache Hadoop with Ambari for less price, we got that from Acceldata.
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Acceldata User

Mid - Market - (51 - 1000 emp.)
High-quality tools. Customer-centric. Helpful. Great Experience staffs.
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Documentation & Support

Introduction to ODP

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Installation Guide

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Configuration

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Github Repo

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Support Portal

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