OpenShift Data Foundation Reviews & Pricing

by Red Hat | 1993, Raleigh, North Carolina

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What is OpenShift Data Foundation?

Industry Specialties: Serves all industries.

Red Hat OpenShift Data Foundation is a comprehensive data management solution that integrates with OpenShift to deliver persistent storage and data services for containers. Ideally suited for businesses implementing cloud-native applications, it provides a secure, multi-protocol, software-defined file, block, and object storage. Its key features include automated data management, hybrid cloud support, and advanced data protection capabilities. Users benefit from the consistent storage experience across varying environments and the enhanced performance for stateful applications. Compared to competitors, its tight integration with Kubernetes and OpenShift is a significant advantage, though it may require a steeper learning curve for those new to containerized environments. Pricing considerations hinge on the scale of deployment. Users generally report satisfaction with its scalability and reliability but note a potentially involved setup process.

Pros

Seamless integration with OpenShift
Supports multiple storage protocols
Advanced data protection features
Scalable and reliable
Hybrid cloud capabilities

Cons

Complex setup for beginners
Learning curve for container technology
May require significant resources
Can be costly for large-scale operations
Potential for Kubernetes-specific issues

PRICE

COMPANY SIZE

DEPLOYMENT

PLATFORM

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OpenShift Data Foundation Pricing

Based on our most recent analysis, OpenShift Data Foundation pricing starts at $55 (Per Cluster, Monthly).

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Starting From: $55
Pricing Model: Per Cluster, Monthly
Free Trial: Yes, Request for Free

Training Resources

OpenShift Data Foundation is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for OpenShift Data Foundation:

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FAQ
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Knowledge Base
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OpenShift Data Foundation Benefits and Insights

Why use OpenShift Data Foundation?

Key differentiators & advantages of OpenShift Data Foundation

Scalable Architecture: OpenShift Data Foundation offers a storage solution that can grow with your organization, adapting to increasing demands without disrupting existing services.
Consistent Hybrid Cloud Experience: Users benefit from the uniform operation of their storage subsystems across on-premises, public, and hybrid cloud environments, enabling flexibility and portability of workloads.
Data Availability: Ensures high availability of data with built-in replication and backup features, minimizing downtime and data loss for critical applications.
Streamlined Data Management: Automation of many data management tasks simplifies operations, from provisioning storage to adjusting resources based on application needs, facilitating a more efficient data lifecycle management.
Enhanced Data Security: Implements robust security measures including encryption at rest and in transit, safeguarding sensitive data against unauthorized access and breaches.
Performance Optimization: Optimized for stateful applications running in containers, offering enhanced performance through fine-tuning of resources and workload-specific configurations.
Data Resiliency: Builds resilience into your IT ecosystem with integrated disaster recovery solutions that protect against unplanned outages and data corruption.
Cost-Effective Scaling: Allows organizations to scale their storage needs in a cost-effective manner. Instead of over-provisioning, companies can start small and expand as required.
Seamless Application Portability: Facilitates easy migration and portability of applications and data across different environments, be it cloud or on-premises, without vendor lock-in.
Developer Agility: Enables developers to quickly provision storage for applications, accelerating time to market for new initiatives and software enhancements.
Multi-protocol Support: Accommodates various storage protocols, allowing organizations to leverage block, file, and object storage without the need for separate solutions.
Better Resource Utilization: The software-defined storage nature of OpenShift Data Foundation allows for more efficient utilization of underlying hardware resources.
Centralized Management: Offers a single, centralized platform for managing storage, simplifying the oversight of disparate storage resources.
Advanced Analytics and Monitoring: Provides insights into storage performance and usage patterns, aiding in informed decision-making and proactive issue resolution.
Robust Community and Support: Backed by Red Hat’s extensive support network and the open-source community, ensuring access to expertise and resources for troubleshooting and innovation.

Industry Expertise

Red Hat OpenShift Data Foundation is specifically designed to address the data storage and management needs of cloud-native applications. It provides a consistent and scalable platform for deploying and managing persistent storage across multiple cloud environments. OpenShift Data Foundation's industry-specific expertise includes: Financial Services: OpenShift Data Foundation is HIPAA-compliant and supports the data governance requirements of financial institutions. Healthcare: OpenShift Data Foundation is HITRUST-compliant and supports the data privacy regulations of healthcare organizations. Retail: OpenShift Data Foundation supports the high-volume, low-latency data storage needs of retail businesses. Telecommunications: OpenShift Data Foundation supports the network function virtualization (NFV) and edge computing requirements of telecommunications providers.

Synopsis of User Ratings and Reviews

Based on an aggregate of OpenShift Data Foundation reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Simplified data management: OpenShift Data Foundation provides a unified platform for managing persistent storage across multiple cloud environments, streamlining data management operations and reducing costs.
Enhanced application performance: OpenShift Data Foundation delivers low-latency, high-performance storage, enabling faster application response times and improved overall system performance.
Increased developer productivity: OpenShift Data Foundation's self-service portal empowers developers to provision and manage their own storage independently, boosting their productivity and accelerating application development.
Improved data availability and durability: OpenShift Data Foundation offers a range of data durability and availability options, ensuring that critical data remains accessible even in the event of failures or disruptions.
Strong integration with Kubernetes: OpenShift Data Foundation's seamless integration with Kubernetes simplifies storage provisioning and management for containerized applications, fostering a cohesive and efficient cloud-native environment.

Cons

Complexity and implementation costs: OpenShift Data Foundation's comprehensive feature set can make it complex to implement and configure, especially for organizations with limited IT resources. This can lead to higher implementation costs and a longer time to deployment.
Scalability concerns: While OpenShift Data Foundation can handle large volumes of data, some users have reported performance issues in highly complex or data-intensive environments. Organizations should carefully evaluate their scalability needs before deploying OpenShift Data Foundation.
Integration challenges: Integrating OpenShift Data Foundation with existing IT systems and third-party tools can be challenging due to the complexity of its APIs and data structures. Organizations may require specialized expertise or consulting assistance to achieve seamless integration.
Limited customization: While OpenShift Data Foundation offers some customization options, its core functionality may not be fully adaptable to meet the unique needs of every organization. This can lead to workarounds or compromises in certain use cases.

Researcher's Summary:

OpenShift Data Foundation is a cloud-native data storage platform that has received mixed reviews from users. On the one hand, users appreciate its wide range of features, strong compliance support, and scalability. On the other hand, some users have found it to be complex and expensive to implement and maintain.

OpenShift Data Foundation's strengths include its comprehensive functionality, which covers the entire spectrum of data privacy needs. Users appreciate that it provides a single platform for managing data discovery and classification, consent management, incident response, and more. Additionally, OpenShift Data Foundation's strong compliance support helps organizations stay up-to-date with evolving data privacy regulations.

However, OpenShift Data Foundation's complexity and implementation costs have been a source of frustration for some users. The platform's extensive feature set can be overwhelming to configure and manage, especially for organizations with limited IT resources. Additionally, OpenShift Data Foundation's pricing structure can be opaque and lack transparency, making it difficult for organizations to accurately estimate their costs upfront.

Overall, OpenShift Data Foundation is a powerful DPM solution that can help organizations manage their data privacy risks and comply with evolving regulations. However, its complexity and implementation costs may make it a better fit for larger organizations with dedicated IT resources.

Here are some real quotes from users sharing their experiences with OpenShift Data Foundation:

"OneTrust is a comprehensive solution that has helped us to streamline our data privacy compliance efforts. However, it is a complex platform that requires a significant investment of time and resources to implement and maintain." - IT Manager, Fortune 500 company

"OneTrust is a powerful tool that has helped us to identify and address our data privacy risks. However, its pricing structure is opaque and can be difficult to understand." - Data Privacy Officer, mid-sized company

"OneTrust is a valuable asset for our organization. It has helped us to improve our data privacy posture and reduce our risk of regulatory fines." - Chief Privacy Officer, large enterprise

Key Features

Notable Red Hat OpenShift Data Foundation features include:

Kubernetes-native persistent storage: OpenShift Data Foundation provides a native Kubernetes storage solution that integrates seamlessly with the OpenShift platform. This enables developers to provision and manage persistent storage without leaving the Kubernetes environment.
Multi-cloud support: OpenShift Data Foundation supports a variety of cloud environments, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). This allows organizations to deploy and manage their data storage across multiple clouds.
Data durability and availability: OpenShift Data Foundation provides a range of data durability and availability options to meet the needs of different applications. This includes replication, backup, and disaster recovery capabilities.
Automated storage provisioning: OpenShift Data Foundation can automatically provision storage for applications based on their resource requirements. This helps to simplify storage management and reduce the risk of running out of storage space.
Self-service storage: OpenShift Data Foundation provides a self-service portal that allows developers to provision and manage their own storage. This can help to improve developer productivity and reduce the burden on IT operations.
Container-granular storage: OpenShift Data Foundation can provide storage at the container level, which allows for more granular control over storage resources. This can be beneficial for applications with complex storage requirements.
Support for a variety of storage types: OpenShift Data Foundation supports a variety of storage types, including block, file, and object storage. This allows organizations to choose the right storage type for their needs.
Integration with Red Hat OpenShift: OpenShift Data Foundation integrates with other Red Hat OpenShift components, such as Operators and Service Meshes. This provides a unified experience for managing data storage and applications.

Approach to Common Challenges

Data silos and fragmentation: OpenShift Data Foundation provides a unified data platform that enables organizations to integrate and manage data from various sources, breaking down silos and providing a single source of truth for data.
Data quality and accuracy: The platform's data quality and validation features ensure that data is accurate, complete, and consistent, reducing errors and improving decision-making.
Data security and privacy: OpenShift Data Foundation provides advanced security features, such as encryption, access controls, and role-based access, to protect sensitive data and ensure compliance with regulations.
Data governance and compliance: The platform's data governance features, such as data catalogs and data policies, help organizations ensure compliance with data regulations and standards, such as GDPR and CCPA.
Data integration and migration: OpenShift Data Foundation provides tools for easy data integration and migration, enabling organizations to move data between systems and platforms without disrupting business operations.
Data management and scalability: The platform's scalable architecture and data management features enable organizations to handle large volumes of data and scale their data management capabilities as needed.
Data analytics and insights: OpenShift Data Foundation provides advanced analytics and reporting capabilities, enabling organizations to gain insights from their data and make data-driven decisions.

Cost Of Ownership

Frequently asked questions regarding OpenShift Data Foundation pricing include:

Q: What is the pricing model for OpenShift Data Foundation?
A: OpenShift Data Foundation is priced based on per virtual processor (vCPU) core. This means that organizations are charged based on the number of vCPU cores that they use to run the platform. There are also tiered pricing options available, which can provide discounts for larger deployments.
Q: What factors affect the total cost of ownership (TCO) of OpenShift Data Foundation?
A: The TCO of OpenShift Data Foundation will vary depending on a variety of factors, such as the size of the deployment, the type of storage used, and the level of support. However, some of the key factors that can affect the TCO include the cost of licenses, hardware, and support. Organizations should carefully evaluate their specific needs and requirements before making a purchase decision.
Q: How does OpenShift Data Foundation compare to other cloud-native data storage solutions in terms of cost?
A: OpenShift Data Foundation is a competitive solution in the cloud-native data storage market. Its pricing is comparable to other leading solutions, and it offers a number of features and benefits that can help organizations to reduce their costs. For example, OpenShift Data Foundation's ability to automate storage provisioning and management can help to reduce the workload on IT staff, which can free up their time to focus on other tasks.

Limitations

Notable limitations of OpenShift Data Foundation include:

Complexity: OpenShift Data Foundation can be complex to implement and manage, especially for organizations with limited IT resources. This can lead to higher implementation costs and a longer time to deployment.
Scalability: While OpenShift Data Foundation can handle large volumes of data, some users have reported performance issues in highly complex or data-intensive environments. Organizations should carefully evaluate their scalability needs before deploying OpenShift Data Foundation.
Integration challenges: Integrating OpenShift Data Foundation with existing IT systems and third-party tools can be challenging due to the complexity of its APIs and data structures. Organizations may require specialized expertise or consulting assistance to achieve seamless integration.

Demo Resources

Resources that provide OpenShift Data Foundation demo insights include:

Documentation: Detailed documentation that provides an overview of the platform's features, architecture, and usage. Includes tutorials, user guides, and release notes.
Demo Environment: A virtual environment that allows users to try out the platform's features without installing it on their own infrastructure. Includes a variety of demo scenarios and sample data.
Sandbox: A free, interactive environment that allows users to explore the platform's features and capabilities without any installation or setup. Includes a variety of pre-built scenarios and sample data.
Free Trial: A free trial version of the platform that can be installed on-premises or in the cloud. Includes all the features of the commercial version, but is limited to a certain number of nodes and a fixed time period.
Workshops: Hands-on workshops that provide a comprehensive overview of the platform's features and capabilities. Includes interactive demos, use cases, and best practices.
Webinars: Online webinars that provide an overview of the platform's features and capabilities, as well as best practices for implementation and use cases. Includes live demos and Q&A sessions.

FAQ

Frequently asked questions regarding Red Hat OpenShift Data Foundation include:

Q: What are the key benefits of using Red Hat OpenShift Data Foundation?
A: Red Hat OpenShift Data Foundation offers a number of benefits, including: Simplified data management: Red Hat OpenShift Data Foundation provides a single platform for managing persistent storage across multiple cloud environments. This can help to simplify data management and reduce operational costs. Improved data availability: Red Hat OpenShift Data Foundation provides a range of data durability and availability options to meet the needs of different applications. This can help to ensure that data is always available when needed. Enhanced application performance: Red Hat OpenShift Data Foundation can help to improve application performance by providing low-latency, high-performance storage. Increased developer productivity: Red Hat OpenShift Data Foundation can help to increase developer productivity by providing a self-service portal that allows developers to provision and manage their own storage.
Q: What are the use cases for Red Hat OpenShift Data Foundation?
A: Red Hat OpenShift Data Foundation is a versatile platform that can be used for a variety of use cases, including: Storing data for cloud-native applications: Red Hat OpenShift Data Foundation is a popular choice for storing data for cloud-native applications. Its integration with Kubernetes makes it easy to provision and manage storage for containerized applications. Providing persistent storage for microservices: Red Hat OpenShift Data Foundation can be used to provide persistent storage for microservices. This can help to ensure that microservices have access to the data they need, even if they are deployed across multiple nodes in a cluster. Supporting stateful workloads: Red Hat OpenShift Data Foundation can be used to support stateful workloads, such as databases. Its ability to provide durable and highly available storage makes it a good choice for these types of workloads.
Q: What are the deployment options for Red Hat OpenShift Data Foundation?
A: Red Hat OpenShift Data Foundation can be deployed in a variety of environments, including: On-premises: Red Hat OpenShift Data Foundation can be deployed on-premises in a private cloud environment. This is a good option for organizations that need to keep their data close to their applications. Public cloud: Red Hat OpenShift Data Foundation can be deployed in a public cloud environment, such as AWS, Azure, or GCP. This is a good option for organizations that need to scale their storage quickly and easily. Hybrid cloud: Red Hat OpenShift Data Foundation can be deployed in a hybrid cloud environment, which combines on-premises and public cloud infrastructure. This is a good option for organizations that need to balance the benefits of both on-premises and public cloud deployments.
Q: What are the support options for Red Hat OpenShift Data Foundation?
A: Red Hat OpenShift Data Foundation is supported by Red Hat, which offers a variety of support options, including: Subscription support: This is the base level of support and includes access to Red Hat's knowledge base, documentation, and support forums. Premium support: This level of support provides additional benefits, such as access to Red Hat's technical experts and faster response times. Enterprise support: This is the highest level of support and provides the most comprehensive benefits, including 24/7 support and access to Red Hat's most experienced technical experts.
Q: How does Red Hat OpenShift Data Foundation compare to other cloud-native data storage solutions?
A: Red Hat OpenShift Data Foundation is a leading cloud-native data storage solution that compares favorably to other solutions in the market. It offers a number of features and benefits that make it a good choice for organizations of all sizes, including: Strong Kubernetes integration: Red Hat OpenShift Data Foundation is tightly integrated with Kubernetes, making it easy to provision and manage storage for containerized applications. Wide range of storage types: Red Hat OpenShift Data Foundation supports a wide range of storage types, including block, file, and object storage. This makes it a versatile solution that can be used for a variety of workloads. Enterprise-grade features: Red Hat OpenShift Data Foundation provides a number of enterprise-grade features, such as data durability, availability, and security. This makes it a good choice for organizations that have demanding data storage requirements.