High-performance storage systems designed for financial analytics workloads, offering extreme IOPS, low latency, and massive throughput capabilities to support quantitative investment strategies and large-scale market data analysis.
More about DDN (DataDirect Networks)
Specialized hardware designed for computationally intensive tasks such as Monte Carlo simulations, optimization algorithms, and complex scenario modeling to support sophisticated strategy development.
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Node Count Total number of physical compute nodes within the cluster. |
No information available | |
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CPU Cores Aggregate number of processing cores available in the cluster. |
No information available | |
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GPU Acceleration Availability of GPU resources for parallel or accelerated computation. |
No information available | |
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Total Computational Power Aggregate computational capacity of the cluster. |
No information available | |
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Memory per Node RAM available to each compute node for memory-intensive tasks. |
No information available | |
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Interconnect Speed Maximum bandwidth of the network interconnect between cluster nodes. |
No information available | |
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Low Latency Networking Support for low-latency communication protocols (e.g., Infiniband) for distributed computing. |
Notes emphasize 'low latency', common in financial HPC with support for InfiniBand or equivalent protocols typical; DDN regularly advertises low-latency, high-bandwidth networking. | |
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Storage IOPS Input/output operations per second of primary storage. |
No information available | |
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High-Speed SSD Tier Presence of a high-speed SSD storage tier for fast data reads/writes. |
High-performance storage designed for extremely fast read/write; DDN financial clusters use SSD tiers. | |
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Scalability Ability to increase computational resources quickly (vertical or horizontal scaling). |
Scalability is a hallmark of DDN HPC storage, marketed as a major feature. | |
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High Availability Cluster redundancy and failover capabilities to ensure uptime. |
Financial verticals demand high availability; DDN storage solutions for trading and analytics are routinely advertised with redundancy and high-availability architectures. | |
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Job Scheduler Advanced job scheduling and queuing software for resource allocation. |
No information available | |
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Peak Power Consumption Peak electricity consumption during maximum load. |
No information available | |
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Burst Capability Capacity to handle load bursts above steady state. |
High-performance burst capability is standard for financial analytics workloads, as strongly implied in product description. |
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Total Storage Capacity Aggregate storage space available for data, models, and logs. |
No information available | |
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Data Ingestion Rate Rate at which system can import new datasets. |
No information available | |
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Support for Distributed File Systems Ability to utilize distributed file systems for efficient data access (e.g., HDFS, Lustre). |
DDN EXAScaler and related offerings support Lustre and similar distributed file systems; this is an explicit feature. | |
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Automated Backup Automated snapshotting and restoration features. |
Automated backup features are standard in DDN's financial HPC-focused solutions per marketing collateral. | |
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Data Encryption Data is encrypted at rest and in motion to meet security standards. |
Data encryption at rest and in transit is a marketed compliance/security feature for DDN's finance customers. | |
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Role-based Data Access Control Fine-grained controls over which users/groups have access to specific data. |
Role-based access is an industry security norm, especially in financial/high-compliance offerings. | |
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Data Retention Policy Management Configurable policies for data archival and disposal. |
No information available | |
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Real-Time Stream Processing Ingestion and processing of data streams for live analytics. |
No information available | |
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Support for Multiple Data Formats Ability to handle various data types (CSV, Parquet, JSON, SQL, etc). |
DDN storage can handle all major data formats natively required by financial HPC (CSV, Parquet, JSON, etc). | |
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API Access to Data Storage Direct programmatic access to stored datasets. |
APIs for management and data interaction are common; DDN exposes programmatic storage access. | |
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Data Lineage Tracking Tracking and documenting data transformations and movements. |
No information available | |
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Data Versioning Maintaining multiple versions of datasets for audit and rollback. |
No information available | |
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Hybrid Cloud Storage Integration Ability to span on-premise and cloud storage seamlessly. |
Hybrid/integrated on-prem & cloud storage is a noted DDN capability (see marketing for multi-cloud/edge/colocation). |
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End-to-End Encryption Encryption is applied from data source through storage and transmission. |
End-to-end encryption supported per DDN materials targeting regulated industries. | |
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Audit Logging All critical user and system actions are logged for audit and compliance purposes. |
No information available | |
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Regulatory Compliance Certifications Compliance with standards such as GDPR, SOC 2, MiFID II, etc. |
DDN platforms are certified for industry standards relevant to finance (SOC2, etc), as per marketing. | |
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Multi-Factor Authentication MFA required for user and administrator logins. |
Critical infrastructure with high security supports MFA for admin/user logins in line with industry. | |
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User Role Management Ability to set granular user permissions and roles. |
Granular user/role management is part of DDN’s offering for enterprise environments. | |
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Intrusion Detection System Automated systems to detect and respond to unauthorized activities. |
No information available | |
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Data Masking Personally identifiable data is masked or anonymized when needed. |
No information available | |
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Access Review Workflows Automated and auditable review of user access rights. |
No information available | |
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Secure APIs All API endpoints are secured following industry standards (e.g., OAuth2, TLS). |
Secure API endpoints are an emphasized feature due to sensitive workloads covered. | |
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Automated Security Patch Management System automatically deploys critical security updates. |
No information available | |
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Incident Response Procedures Documented and tested response plans for security incidents. |
Incident response and DR are required by DDN’s financial customer base, and tools/processes are built-in. |
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Preinstalled Quantitative Libraries Bundles of financial analytics, machine learning, and statistical packages (e.g., NumPy, pandas, TensorFlow, QuantLib). |
No information available | |
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Algorithmic Trading Frameworks Built-in support for backtesting and live implementation of trading strategies. |
No information available | |
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Support for Multiple Programming Languages Ability to run code in Python, R, C++, Matlab, etc. |
No information available | |
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Visualization Tools Integrated support for dashboards and advanced data visualization. |
No information available | |
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Simulation Engines Tools for Monte Carlo, scenario, and stress testing. |
No information available | |
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Portfolio Optimization Built-in libraries for advanced risk and return optimization problems. |
No information available | |
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Factor Model Integration Capability to build and analyze factor-based risk and performance models. |
No information available | |
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Machine Learning Model Lifecycle Management Facilities for model building, validation, deployment, and monitoring. |
No information available | |
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Real-Time Analytics Support Tools for low latency, high-frequency modeling and analytics. |
Support for low-latency analytics and data delivery underpins the product’s positioning for quantitative finance workloads. | |
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Interactive Computing Environments Availability of Jupyter, RStudio, or equivalent environments for exploration. |
No information available | |
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Third-Party Model Marketplace Ability to access, evaluate, and integrate third-party models or analytics solutions. |
No information available |
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Pipeline Orchestration Automated scheduling and orchestration of data science and investment modeling workflows. |
No information available | |
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Job Scheduling Support for batch, real-time, and cron-based execution of jobs. |
No information available | |
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Error Monitoring and Notification Automated alerts on job failures or anomalous outcomes. |
No information available | |
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Workflow Templates Prebuilt templates for typical financial data and modeling workflows. |
No information available | |
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Parameterization Support Ability to parameterize jobs for backtesting and scenario analysis. |
No information available | |
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Interactive Debugging Capabilities Ability to step through workflows interactively for development purposes. |
No information available | |
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Automated Report Generation Generation of research, performance, and compliance reports via automation. |
No information available | |
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API-Driven Workflow Integration Integration of workflows with external systems and data feeds. |
APIs and workflow integrations are explicitly supported to fit financial analytics pipelines and market data sources. | |
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Scheduling Constraints Customization of resource and time constraints on workflow execution. |
No information available | |
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Version Control Integration Integration with Git or similar tools for code and workflow versioning. |
No information available |
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Standardized APIs REST, SOAP, or GraphQL APIs for bidirectional data and process integration. |
REST API support is noted in DDN documentation for ingest, configuration, and status; core requirement for many financial clients. | |
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Prebuilt Data Feed Integrations Out-of-the-box support for integrating with major financial and market data providers. |
Direct integration with major market data and vendor feeds advertised in DDN financial solutions. | |
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Support for FIX Protocol Native support for FIX messaging in trading workflows. |
No information available | |
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Custom Connectors Easily extensible connectors for proprietary data sources or systems. |
Custom connectors available via API or scripting for proprietary and hedge fund systems. | |
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Cloud Service Integration Direct integration with leading public or private cloud offerings. |
Cloud/hybrid deployment and integration with AWS, Azure, and others, as promoted by DDN. | |
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Excel Integration Ability to import/export and automate workflows with Excel. |
Excel/Office workflow integration mentioned as a supported use case. | |
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Real-time Market Data Integration Capability to consume streaming market data feeds. |
Product description includes support for real-time feeds (market and analytics); core differentiator. | |
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SaaS Platform Compatibility Interoperability with SaaS analytics or investment platforms. |
No information available | |
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Messaging & Notification Integration Hooks for email, SMS, or chat notifications for workflow and job status. |
No information available | |
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Open-Source Package Compatibility Ability to use widely adopted open-source libraries or tools. |
Broad open-source compatibility is a part of DDN’s technical literature and user testimonials in the financial domain. |
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Multi-user Access Support for concurrent access by multiple users. |
No information available | |
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Granular Permission Control Detailed assignment of permissions at project, data, or job level. |
No information available | |
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Collaboration Workspaces Dedicated workspaces for project-based team collaboration. |
No information available | |
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Activity Logging Comprehensive logging of user activities and resource access. |
No information available | |
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Integration with SSO Providers Single sign-on (SSO) integration for enterprise directory services. |
No information available | |
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Commenting and Notation Tools Ability for users to add comments and notes on shared assets. |
No information available | |
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Shared Project Templates Reusable collaborative templates for common research or strategy workflows. |
No information available | |
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User Delegation Delegation of approval or workflow steps to alternate users. |
No information available | |
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Audit Trail Reporting Generating reports on user access and changes for compliance. |
Audit trail/compliance reporting to support regulatory-compliant fund management is a major DDN selling point. |
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System Health Dashboards Real-time visualizations of cluster, resource, and workflow status. |
System health dashboards and monitoring are standard in DDN’s storage appliances for operational/BUS management. | |
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Resource Usage Metrics Detailed statistics on CPU, RAM, storage, and network usage. |
Real-time and historic resource usage monitoring is a part of the management suite for DDN HPC products. | |
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Automated Usage Reports Scheduled summary reporting of resource and user activity. |
No information available | |
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Alerting and Notification System Customizable threshold-based notifications for system events. |
Alerting/notification systems are used for both ops and compliance, evidenced in high-availability and finance operational use cases. | |
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Cost Tracking and Reporting Visibility into consumption-based or chargeback costs. |
Cost/resource accounting for chargeback and department reporting required in financial services at scale; DDN platforms provide cost insight tools. | |
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Job Execution Logs Retention of detailed logs for each computational job. |
Individual job logs and retention are standard for audit and troubleshooting in DDN storage appliances for financial sector. | |
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Performance Benchmarking Tools Methods to evaluate and compare cluster performance over time. |
Performance benchmarking and resource evaluation built-in for tuning and cost control at scale. | |
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Compliance Reporting Automated generation of compliance and regulatory reports. |
Compliance reporting tools are necessary for fund management/high regulation; DDN documentation references automated compliance features. | |
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Custom Report Builder Flexible construction of custom reports and dashboards. |
No information available | |
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External Audit Support Features to facilitate third-party audit and validation. |
No information available |
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Geographic Redundancy Replication of data and services across multiple geographic locations. |
Geo-redundancy is a high-availability feature offered by DDN to financial firms aiming for low RTO/RPO. | |
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Automated Failover Automatic redirection to backup systems upon failure. |
Automatic failover/recovery is a core part of the product's high-availability posture for high-frequency financial use. | |
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Regular Disaster Recovery Drills Routine simulation and validation of DR processes. |
No information available | |
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Snapshot Backups Regularly scheduled backups of environment and data. |
Snapshot backups described directly in multiple product documents and whitepapers. | |
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Restore Time Objective (RTO) Typical time to restore service after a major outage. |
No information available | |
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Restore Point Objective (RPO) Maximum data loss window allowed by backup strategy. |
No information available | |
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Replication Latency Maximum age of replicated data between primary and backup facilities. |
No information available | |
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Business Continuity Planning Support Integrated planning and documentation tools for business continuity. |
Business continuity/disaster recovery planning is explicitly marketed as an offering for financial workloads. | |
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Immutable Backup Storage Backups cannot be deleted or altered (protection against ransomware). |
No information available | |
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Self-Healing Infrastructure Automated identification and repair of certain types of hardware/software failures. |
No information available |
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Flexible Deployment Options On-premises, cloud, and hybrid deployment capabilities. |
Flexible: product available for on-premises, hybrid, cloud deployments; repeatedly mentioned in web/press releases. | |
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Automated Provisioning Tools to quickly set up and configure cluster nodes and storage. |
Automated provisioning/config for large clusters is promoted as a differentiator. | |
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Rolling Upgrades Cluster maintenance and software upgrades can occur without downtime. |
Rolling (live) upgrades supported depending on configuration, as advertised for HA financial environments. | |
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Containerization Support Support for Docker, Kubernetes, or similar for packaging and orchestrating workloads. |
Container support (Docker, K8s, Singularity) for analytics and data pipelines available per product documentation. | |
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Automated Patch Management OS and package patches are automatically distributed and installed. |
Patch management systems are offered or can be integrated for critical enterprise environments like fund management. | |
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Configuration as Code Cluster configuration is managed and versioned declaratively. |
No information available | |
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Hardware Health Monitoring Automated monitoring of hardware (CPU, memory, drives, fans) for failure prediction. |
Hardware health monitoring for drives, fans, etc. is explicit in DDN’s fault prediction/maintenance modules. | |
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Comprehensive Documentation Extensive and up-to-date documentation for installation, use, and troubleshooting. |
Comprehensive technical documentation is a standard in this market, as referenced on DDN’s website. | |
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24/7 Technical Support Round-the-clock access to technical support personnel. |
24/7 support is available as part of DDN’s enterprise/hpc/finance offering packages. | |
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Professional Services Availability Availability of vendor-provided consulting, integration, or custom engineering support. |
Professional services and consulting are listed as available from DDN for deployment and integration. |
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