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Acceldata Open Data Platform
TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE
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Our 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
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
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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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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Introducing
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 several Apache open-source components.

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.

ODP Architecture

Acceldata Efficient ODP Architecture
Hadoop Operational for Excellence with Acceldata

Access this guide for insights into Hadoop ecosystem challenges, solutions, success stories, and more.

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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.

No 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

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

Minimal upgrade downtime required (< 1hr).

Quick rollback capability (< 1hr).

One-time data and job movement could be performed in phases as well.

Ideal for hardware refresh/ infra change motions.

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.

ODP

Free, 100% Open Source, No licensing fees ever

Support Fees

Proprietary Hadoop

Millions in support fees just to maintain baseline service

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.

ODP

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

Upgrade to Cloud

Proprietary Hadoop

None

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

ODP

Tightly integrated with Pulse, our advanced observability suite for Hadoop

Product Updates:

Proprietary Hadoop

Largely Frozen

ODP

Published roadmap

PhonePe uses Acceldata to scale open-source data platform by 10x

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