Acceldata Wins InfoWorld’s 2023 Technology of the Year Award
Read more
By selecting “Accept All Cookies,” you consent to the storage of cookies on your device to improve site navigation, analyze site usage, and support our marketing initiatives. For further details, please review our Privacy Policy.
Accept

Embrace Openness with the Open Data Platform

Break Free from Vendor Lock-In and Get Seamless Access to the Latest Open Source Data Platform with Premier Hadoop Assistance

Free Forever
Apache License
Request Demo
TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Introducing the Open Data Platform (ODP)

The Open Data Platform (ODP) is a collaborative effort with leading data-driven enterprises committed to open source principles. Leveraging cutting-edge versions of open source software, ODP offers a straightforward, cost-efficient, community-powered stack of essential components for enterprises.

Unmatched
Flexibility

Seamlessly run multiple versions of any open source component with the help of Ambari Mpacks, ensuring flexibility in your operations.

Stay Current with Confidence

Access the latest Apache components, incorporating cutting-edge features while maintaining low vulnerability levels, ensuring your system remains up to date and secure.

Empowered for
Tomorrow

Supported by a community-driven approach and customizable features, ODP is poised to adapt to diverse enterprise requirements, providing a solution that remains relevant and effective for the long term.

Open Data Platform

Architecture
Components
Open Data Platform (ODP) Architecture

Your Migration,
Your Terms

We understand the importance of flexibility when it comes to upgrading. That's why we offer three proven migration options, allowing you to transition confidently at your own pace. Trusted by enterprises operating at a petabyte scale, you're in control of how and when you migrate.

In Place Upgrades

Facing budget constraints for new infrastructure upgrades? This method enables you to upgrade your cluster while conserving resources within a planned maintenance window.

Advantages

No additional infrastructure investment required.

Data remains in situ, eliminating data movement concerns.

Parallel installation alongside existing Hadoop binaries.

Step-by-step guidance provided by Runbook(s).

Plan for an 8-hour downtime window.

Allocate 4 hours for rollback procedures.

Ensure job alignment or modification ahead of time if reliant on legacy jars.

Preparation

Sidecar Upgrades

Upgrade smoothly with minimal maintenance and ample time to validate ODP's performance.

Advantages

Direct provisioning on cloud infrastructure available.

Minimal upgrade downtime (< 1hr).

Rapid rollback capability (< 1hr).

Gradual job deployment for streamlined implementation.

Ample bandwidth for benchmarking and application validation.

Plan for parallel hosting or infrastructure costs until cutover.

Prepare for data movement or forking ingestion pipelines to the new cluster.

Preparation

Forklift Upgrades

Establish a parallel ODP cluster either on-premises or in the cloud and execute the migration.

Advantages

Direct provisioning on cloud infrastructure available.

Minimal upgrade downtime required (< 1hr).

Quick rollback capability (< 1hr).

Ability to transfer jobs in batches between clusters.

Enhanced flexibility for tuning and optimization.

Allocate resources for running a similarly sized cluster.

Prepare for data ingestion pipeline forking or data copying from the old to the new cluster.

Preparation

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

Proprietary Hadoop vs ODP

Licensing Costs
Support Fees
Forced Upgrade to Next On-premise Version
Upgrade to Cloud
Ease of Administration
Product Updates
Proprietary Hadoop

Funnel optimization

Incurs several thousand dollars per node with yearly increases.

Advanced charts

Faces millions in support fees solely to maintain baseline service.

Data enrichment

Deals with short support windows for legacy Hadoop versions, necessitating upgrades to retain support.

Sales dashboard

None specified.

Sales dashboard

Limited to basic cluster administration, lacking comprehensive observability.

Email and chat support

Updates are largely stagnant.

ODP

Funnel optimization

Enjoy the benefits of free, 100% open-source software with no licensing fees ever.

Advanced charts

Achieve savings exceeding 50% compared to proprietary options.

Data enrichment

No pressure for immediate upgrades; validate ODP with the current Hadoop version at your own pace.

Sales dashboard

Customer discretion on whether and when to migrate. Multiple migration options are available, allowing for personalized migration speeds.

Sales dashboard

Seamlessly integrated with Pulse, our advanced observability suite for Hadoop, enhancing administrative capabilities.

Premium support

Benefit from ongoing updates, ensuring continuous improvement and innovation.

Licensing Costs

Proprietary Hadoop

Several thousand dollars per node and increase annually.

Acceldata ODP

Free, 100% Open Source, No licensing fees ever

Support Fees

Proprietary Hadoop

Millions in support fees just to maintain baseline service

Acceldata ODP

Savings of greater than 50% compared to proprietary option

Forced Upgrade to Next Versions On-premises

Proprietary Hadoop

Short support windows for legacy Hadoop versions. Must upgrade to receive support.

Acceldata ODP

No forced upgrades. Stay on your current version of Hadoop for much longer.

Upgrade to Cloud

Proprietary Hadoop

None

Acceldata ODP

Whether and when to move is up to the customer. Multiple migration options, move at your own pace.

Ease of Administration

Proprietary Hadoop

Only basic cluster administration, no observability

Acceldata ODP

Tightly integrated with Pulse, our advanced observability suite for Hadoop

Product Updates:

Proprietary Hadoop

Largely Frozen

Acceldata ODP

Published roadmap

ODP Documentation

Introduction to ODP

Learn more

Installation Guide

Learn more

Configuration

Learn more

Want to see ODP in action?

Request Demo
Enterprise data observability for the modern data stack

Platform

Platform OverviewIntegrations

By Use Case

Data ReliabilityCost OptimizationPerformance Management

By Technology

HadoopDatabricksSnowflakeAWSOpen Data Platform

By Persona

Data ExecutivePlatform EngineerData EngineerDatabase AdminFinOps Practitioner

Resources

Resource CenterEvents & WebinarsBlogData ArticlesWhy Data ObservabilityOpen SourceSupportDocumentationTrust Center

Company

About usWhy AcceldataCustomersPartnersNewsroom CareersContact Us
Copyright © Acceldata 2024. All rights reserved.
Privacy Policy
Cookies
SaaS Terms & conditions
Terms of use
Bug Bounty