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.
Get Hadoop Observability for Operational Excellence
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 (> 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.
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.
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.
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.
Acceldata User
Mid - Market - (51 - 1000 emp.)
High-quality tools. Customer-centric. Helpful. Great Experience staffs.