About Rok Data Management
Rok Data Management is a data management platform from Arrikto that supports efficient data workflows. It provides data access, data governance, and data orchestration so organizations can manage their data lifecycle effectively. Rok helps teams collaborate by centralizing data resources and maintaining data integrity. The platform also enables users to automate data processes and ensure compliance with regulatory standards. Key capabilities: data cataloging policy enforcement workflow automation collaboration tools analytics integration Best for: data teams and organizations that need to manage, secure, and analyze large sets of data efficiently.
Rok Data Management by Arrikto is a sophisticated data management platform purpose-built for managing machine learning workflows and data pipelines in cloud-native environments. Designed to support teams operating within Kubernetes ecosystems, the software focuses on delivering reproducibility, portability, and collaboration in ML operations. It enables users such as data scientists, ML engineers, and DevOps teams to seamlessly snapshot, version, and share data and environments across distributed architectures. At its core, Rok acts as a comprehensive platform that transforms how ML workflows are managed, especially in terms of scaling, automation, and environment replication. The user interface of Rok is notably clean and developer-focused, catering primarily to technical professionals. Despite the complexity of the operations it manages, the UI is structured in a way that emphasizes clarity and control. Users can interact with data volumes, snapshots, pipelines, and metadata through intuitive dashboards and command-line integrations. Navigation is smooth, with logical groupings of functionality such as environments, datasets, and experiment tracking.
Pros & Cons
- +Exceptional Performance: Leverages local NVMe for high I/O performance, critical for AI/ML and big data workloads.
- +Cloud Agnostic & Portable: Eliminates vendor lock-in by supporting multi-cloud, hybrid cloud, and on-premise deployments, allowing data and applications to move freely.
- +Efficient Data Management: Offers powerful snapshotting, versioning, and decentralized data distribution for streamlined data operations.
- +Enhanced Collaboration: Rok Registry provides a single pane of glass for sharing and discovering datasets with robust access controls.
- −Complexity: The underlying architecture involves advanced concepts (Kubernetes, NVMe, Object Storage, peer-to-peer distribution), potentially requiring specialized expertise for deployment and management.
- −Specific Niche: Primarily targets stateful applications on Kubernetes with high-performance demands (e.g., AI/ML), which might not be necessary or overkill for simpler storage needs.
- −New Linux Kernel API Reliance: Relies on "new Linux kernel APIs" which might imply specific kernel versions or configurations are required.
Features
Key features
- High-Performance Stateful Workloads on Kubernetes
- Rok provides local NVMe performance for stateful containers on Kubernetes while enabling efficient snapshotting and instant restoration from object storage, without the object storage being in the critical I/O path.
- Global Decentralized Data Distribution & Collaboration
- Rok Registry facilitates peer-to-peer, transparent transfers of versioned data and metadata across clouds, regions, and edge locations, offering GitHub-like semantics for collaboration, search, and sharing with fine-grained access control.
- Infinite Scalability & Portability
- The platform design disaggregates primary storage and offloads data services, enabling "infinite scale" for clusters and data centers, along with the flexibility to move data and workloads across any cloud provider or on-premise infrastructure, eliminating vendor lock-in.
- Optimized for AI/ML & Real-time Big Data
- Specifically designed to simplify data management for demanding machine learning and real-time big data applications by balancing the performance of local storage with the portability and data management features of shared storage.
Additional features
- Cloud-Native Storage and Data Management Platform
- Designed for modern cloud environments and Kubernetes.
- Rok (Storage Layer for Kubernetes)
- Acts as a "missing storage layer" between Kubernetes, directly-attached local disks (NVMe), and Object Storage.
- Enables applications to run with local NVMe performance.
- Allows efficient snapshotting and instant restoration from Object Storage without Object Storage being in the critical I/O path.
- NOT a caching layer or a K8s-native, primary software-defined storage solution.
- Provides disaggregation of primary storage.
- Offloads all data services to secondary storage using new Linux kernel APIs.
- Unlocks "infinite scale" at the cluster or datacenter level.
- Offers global data distribution for performance and portability.
- Combines the performance of local storage with the flexibility of shared storage.
- Allows running stateful containers over fast, local NVMe storage (on-prem or cloud).
- Enables snapshotting of the whole application along with its data.
- Distributes snapshots efficiently across machines of the same Kubernetes cluster or across distinct locations/administrative domains over a decentralized network.
- Simplifies data management for machine learning and real-time big data applications without sacrificing performance.
- Rok Registry (Global Data Distribution & Collaboration Layer)
- Acts as a "missing layer" between clouds, regions, on-premise DCs, and edge locations.
- Enables efficient, completely transparent, peer-to-peer transfers of versioned data and metadata.
- Allows instant restoration of data anywhere globally.
- Serves as a portal for end-user collaboration and sharing across a global network with GitHub-like semantics.
- Unlocks "infinite scale" across thousands of heterogeneous locations globally.
- Provides a "single pane of glass" for searching, discovering, and sharing datasets and environments.
- Supports creation of private or public groups with fine-grained Access Control Lists (ACLs).
- Ensures secure sensitive data through granular control over individual users, locations, and devices.
- No Vendor Lock-in
- Supports any type of hardware for compute and storage.
- Cross-Platform Data Management Software
- Allows moving to or among different cloud providers.
- Data Workflow (How it Works)
- Create a Local Bucket
- Take instant snapshots of containers locally, group them into "Buckets."
- Publish a Local Bucket
- Create a link to the Bucket on Rok Registry.
- Set Permissions
- Share Bucket links with specific collaborators, groups, everyone, or privately.
- Search for a Bucket
- Search on Rok Registry for desired Buckets.
- Subscribe
- Create a new subscribed Bucket by pasting a link from Rok Registry.
- Decentralized Syncing
- Subscribers exchange data in a decentralized fashion; updates from the publisher automatically sync to subscribers.
- Spawn Snapshots
- Instantly spawn a container from a synced snapshot on the target cluster.
- Storage Beyond AI
- Can accelerate other stateful applications (e.g., Apache Cassandra on Kubernetes 15x faster with Arrikto and DataStax).
- AI Use Cases
- Solutions for Retail, Financial Services, Oil & Gas, Healthcare, and Telecommunications.
- Compliance & Security Focus
- Ensures sensitive data remains secure through ACLs and granular control.
Pricing
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Interface languages
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About Rok Data Management
Rok Data Management is a data management platform from Arrikto that supports efficient data workflows. It provides data access, data governance, and data orchestration so organizations can manage their data lifecycle effectively. Rok helps teams collaborate by centralizing data resources and maintaining data integrity. The platform also enables users to automate data processes and ensure compliance with regulatory standards. Key capabilities: data cataloging policy enforcement workflow automation collaboration tools analytics integration Best for: data teams and organizations that need to manage, secure, and analyze large sets of data efficiently.
Rok Data Management Details
Rok Data Management's In-App Market Place
Does Rok Data Management have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CHF (CHF)
Pros & Cons
- Exceptional Performance: Leverages local NVMe for high I/O performance, critical for AI/ML and big data workloads.
- Cloud Agnostic & Portable: Eliminates vendor lock-in by supporting multi-cloud, hybrid cloud, and on-premise deployments, allowing data and applications to move freely.
- Efficient Data Management: Offers powerful snapshotting, versioning, and decentralized data distribution for streamlined data operations.
- Enhanced Collaboration: Rok Registry provides a single pane of glass for sharing and discovering datasets with robust access controls.
- Complexity: The underlying architecture involves advanced concepts (Kubernetes, NVMe, Object Storage, peer-to-peer distribution), potentially requiring specialized expertise for deployment and management.
- Specific Niche: Primarily targets stateful applications on Kubernetes with high-performance demands (e.g., AI/ML), which might not be necessary or overkill for simpler storage needs.
- New Linux Kernel API Reliance: Relies on "new Linux kernel APIs" which might imply specific kernel versions or configurations are required.
Rok Data Management's Support Options
Email Address
support@roktech.netContact
1-844-765-7447Documentation
https://www.arrikto.com/blog/Community Forums
https://docs.arrikto.com/Rok Data Management's Alternatives
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