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.
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.
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.
Himanshu J.
Manager, Big Data Platform, Big Data Platform - Mid-Market
In terms of Ease of Integration, I have found that the Acceldata Product Pulse is very user-friendly and integrates seamlessly with our existing systems.
Acceldata User
Enterprise
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.
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.
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.
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
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
Get Hadoop Observability for Operational Excellence