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Open Data Platform (ODP)

Open Data Platform (ODP) is built in collaboration with the largest data-driven enterprises who believe in open source. Using the most current versions of open source software, ODP is a simple, cost effective, community-driven open source stack of components that enterprises need.

Flexible

Run multiple version of any open source component seamlessly through Ambari Mpacks.

Up to Date

Use the most recent open source components without wait.

Future Proof

Freedom to tailor clusters based on required open source components.

The ODP Architecture

Facing the EOL of Hadoop with Vague Promises of Support?

Cloud migration is a top priority for enterprises still using Hadoop. ODP offers a flexible framework with multiple migration paths. On your schedule.

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 petabyte scale.

In Place Upgrades

Upgrade to ODP by installing ODP binaries on existing legacy hadoop cluster nodes. Requires upgrading Ambari first.

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.

  • Easily scaled to 2000+ nodes, 70+ ODP clusters, 20+ PB

  • Improved availability for Hadoop data lakes to 99.98%

  • Reduced processing time by 55%

  • Eliminated $10M in OEM support costs

  • Reduced overall storage footprint by 30% with HDFS optimization

  • Reduced resource costs by 40%, exceeding all SLAs

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.

  • Boosted Hive LLAP, Spark, and Kafka peak query runtimes by 200%

  • Optimized HDFS to reduce storage block footprint

  • Installed Acceldata's solution on 1700+ nodes and resolved critical tasks within the first two weeks of operation.

Acceldata vs. the Status Quo

By removing the obligation to update data pipelines, ODP drastically reduces costs and elevates performance compared to their previous setup.

ODP users can enhance workload efficiency by 30-40% and realize substantial savings of up to 70% on OEM Hadoop support licenses while experiencing quicker issue resolution.
Licensing Costs
Support Fees
Forced Upgrade to Next Versions On-premises
Upgrade to Cloud
Ease of Administration
Product Updates
Proprietary Hadoop

Funnel optimization

Several thousand dollars per node and increase annually

Advanced charts

Millions in support fees just to maintain baseline service

Data enrichment

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

Sales dashboard

None

Sales dashboard

Only basic cluster administration, no observability

Email and chat support

Large frozen

Acceldata ODP

Funnel optimization

Free, 100% open source; no licensing fees ever

Advanced charts

Savings of greater than 50% compared to proprietary option

Data enrichment

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

Sales dashboard

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

Sales dashboard

Tightly integrated with Pulse, our advanced observability suite for Hadoop

Premium support

Published roadmap

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

Learn More About ODP

ODP Documentation

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ODP Upcoming Releases

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Platform Specifications

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