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NeoXam DataHub from NeoXam

Investment data warehouse platform designed for full data lifecycle management, including golden copy, mastering, audit, and distribution. Supports integration with portfolio management, risk, and regulatory systems.

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Product analysis by function

Investment Data Warehouses for Data Management

Centralized repositories designed to store, organize, and make accessible various types of investment data including historical prices, positions, transactions, and analytical datasets.
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Data Integration & Ingestion
(10 Yes /10 Known /13 Possible features)

Data Storage & Architecture
(10 Yes /10 Known /12 Possible features)

Data Security & Access Control
(11 Yes /11 Known /12 Possible features)

Data Quality & Management
(9 Yes /9 Known /10 Possible features)

Performance & Scalability
(0 Yes /0 Known /10 Possible features)

Analytical & Reporting Tools
(0 Yes /0 Known /10 Possible features)

Data Governance & Compliance
(0 Yes /0 Known /10 Possible features)

Interoperability & Integration
(0 Yes /0 Known /10 Possible features)

User Experience & Administration
(0 Yes /0 Known /10 Possible features)

Monitoring, Maintenance & Support
(0 Yes /0 Known /10 Possible features)

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Multi-Source Connectivity Ability to connect to multiple data sources such as custodians, brokers, market data feeds, CRM, and internal systems.		NeoXam DataHub supports integration with various systems including custodians, market data, portfolio management, and regulatory systems as per web documentation.
Real-Time Ingestion Support for real-time or near real-time data ingestion and updates.		Product documentation and case studies specifically highlight real-time and near real-time data integration for downstream reporting.
Batch Processing Support Supports bulk or scheduled data loads at defined intervals.		Public specifications indicate support for batch imports and scheduled jobs for data ingestion and transformation.
Data Validation Rules Automated quality checks during ingestion for format, completeness, or range validation.		DataHub performs format, completeness, and data consistency validation during ingestion according to product literature.
Data Mapping/Transformation Ability to map, normalize, or transform source data to internal schemas.		Data transformations, mappings, and normalizations are core features used to align disparate source formats.
API Access for Ingestion Availability of APIs to push/pull data from external systems.		APIs for both push and pull are mentioned as available for connections to external data providers and consumers.
ETL (Extract, Transform, Load) Tools Built-in or integrated ETL processes for complex workflows.		Offers integrated ETL and workflow design capabilities for complex ingestion/transformation.
Customizable Workflows Support for creating custom data ingestion and integration workflows.		Workflow orchestration and customization for data processing are showcased in solution guides.
Streaming Data Capability Ingestion and management of continuously flowing data (e.g., tick data, news feeds).		Explicit support for streaming data from feeds is documented for use cases in market and transactional data.
Error Logging & Alerting Automated notifications or logs on ingestion failures, anomalies, or discrepancies.		Automated error logging and alerting described for data ingestion and operational control.
Scalability Maximum capacity of records the ingestion process can handle per hour.		No information available
Latency Time taken from data arrival at source to availability in warehouse.		No information available
Auto Schema Detection Automated detection and suggestion for new/unknown data schemas.		No information available

Storage Capacity Maximum volume of data that can be stored.		No information available
Data Compression Support for storage-efficient compression algorithms.		NeoXam lists compression and data storage optimization for large datasets as a data management feature.
Partitioning & Sharding Support for data partitioning or sharding for optimized performance.		Support for partitioning and sharding for high performance at scale described in architectural documentation.
Columnar vs. Row Storage Choice between columnar or row-based data storage, or hybrid models.		No information available
Elastic Scaling Ability to dynamically scale storage resources up/down as needed.		Marketing and technical resources refer to elastic scalability for both compute and storage components.
High Availability & Redundancy Built-in redundancy for data protection and system resilience.		High-availability configuration and redundant infrastructure noted for mission-critical operations.
Data Snapshots Capability to take periodic snapshots or backups of stored data.		Snapshots and periodic data backup explained as part of standard disaster recovery.
Cloud/On-Premises Option Deployment flexibility on cloud, on-premises or hybrid environments.		Deployed in both cloud (SaaS) and on-premises/hybrid environments.
Object Storage Integration Ability to integrate with external object stores (like S3, Azure Blob, etc).		Supports integration with major object storage solutions e.g. S3, Azure Blob as per API guides.
Immutable Data Storage Supports 'write-once, read-many' records for archiving and audit trails.		Immutable data storage and audit trail highlighted as part of compliance-ready architecture.
Data Encryption at Rest Uses encryption to secure data at rest on storage devices.		Data encryption at rest is listed as standard for all production deployments.
Schema Evolution Capability to modify and evolve storage schemas with minimal disruption.		Schema evolution and in-place upgrades are described as part of technical documentation.

Role-Based Access Controls (RBAC) Enables fine-grained permissions based on user roles and responsibilities.		RBAC and detailed permission management are discussed in DataHub security documentation.
Multi-Factor Authentication (MFA) Requires multiple authentication methods for enhanced security.		Multi-factor authentication is offered as part of enterprise security configurations according to spec sheets.
Data Encryption In Transit Secures data as it moves between systems using transport-layer encryption.		Encryption in transit via TLS/SSL is standard, as referenced in security and compliance documents.
Audit Logging Captures logs of all user actions for compliance and review.		Audit logging for all system and user actions is a compliance feature.
Granular Permissions Allows field-, table-, or dataset-level restrictions on view/edit		Granular security controls down to field and dataset level are marketed in DataHub security resources.
User Provisioning Automation Streamlines onboarding/offboarding of user access rights.		User provisioning and deprovisioning automation with workflow tools is listed.
Single-Sign-On (SSO) Integration Integration with enterprise authentication solutions for single sign-on.		Single sign-on integration with leading enterprise identity providers such as Azure AD and Okta.
Data Masking Conceals sensitive fields from unauthorized users while keeping them available for queries.		Data masking for protecting sensitive fields is available for regulatory compliance.
Security Incident Alerting Automated alerts triggered by unusual activities or access violations.		Incident and anomaly alerting referenced in operational monitoring modules.
Field Level Encryption Ability to encrypt specific columns or fields within the warehouse.		Field level encryption for granular data security described among compliance offerings.
Certifications/Compliance System meets external standards (e.g. SOC 2, ISO 27001, GDPR).		SOC 2, ISO 27001, and GDPR compliance is explicitly mentioned across several materials.
Data Access Expiry Ability to grant time-limited access to specific datasets.		No information available

Automated Data Quality Checks Scheduled or real-time scans for inconsistencies, outages, and data drift.		Automated data quality checks for consistency and drift listed as core function.
Data Lineage Tracking Full traceability of data sources and transformations.		Lineage tracking for full traceability through ingestion and transformation pipelines.
Data Deduplication Automated identification and resolution of duplicate records.		Deduplication of records during ingestion is cited as part of data mastering.
Historical Data Versioning Retains and enables access to previous versions of records.		Historical versioning of data (golden copy, mastering) is a major capability of DataHub.
Metadata Management Cataloging of data with descriptive metadata, tags, and classifications.		Metadata management, tagging, and catalog features are documented.
Data Reconciliation Tools Tools for aligning positions, transactions, and market values with external sources.		DataHub provides alignment and reconciliation tools for positions and transactions.
Custom Validation Rules Administrators can define custom data validation and alert logic.		Administrators can define custom validation logic based on business rule engines.
Error Correction Workflow Built-in process for reviewing and resolving flagged issues.		Workflows for review and correction of flagged data errors described in documentation.
Data Anomaly Detection Automated identification of abnormal or suspicious data patterns.		Data anomaly detection included among automated quality checks.
Quality Score Metrics Quantitative scoring of data quality or completeness.		No information available

Query Response Time Average time for user queries to complete.		No information available
Concurrent Users Supported Maximum number of simultaneous active users.		No information available
Max Query Throughput Highest number of queries handled per second.		No information available
Elastic Compute Scaling Ability to add processing resources dynamically as workload grows.		No information available
High Availability Uptime/availability percentage supported by system architecture.		No information available
Geographic Distribution Ability to distribute data and resources across multiple locations.		No information available
Hybrid Scaling Support for both vertical (bigger servers) and horizontal (more servers) growth.		No information available
Resource Utilization Optimizations Automated resource allocation and optimization for performance.		No information available
Data Caching Layered caching to speed up frequently accessed queries.		No information available
Workload Isolation Isolating analytic and operational workloads to prevent interference.		No information available

Ad-Hoc Query Tools User ability to run custom queries without IT intervention.		No information available
Integrated Reporting Provision of built-in or plug-in dashboards and report templates.		No information available
Data Visualization Support for charting, heatmaps, and other visualization outputs.		No information available
OLAP (Online Analytical Processing) Multi-dimensional data cubes for advanced slicing/dicing.		No information available
API for Data Export APIs for exporting data to downstream analytics/BI tools.		No information available
Scheduled Reporting Capability to schedule and distribute recurring reports.		No information available
Self-Service BI Integration Connection with leading business intelligence tools (Power BI, Tableau, etc).		No information available
User-Defined Metrics & Calculations Ability for users to create custom metrics and run calculations.		No information available
Natural Language Query Supports querying data using plain English or natural language.		No information available
Audit Reports Automated generation of compliance or data access audit reports.		No information available

Data Retention Policies Automated enforcement of data lifespan per regulatory requirements.		No information available
Consent Management Tools to record and enforce user/client consent for data use.		No information available
GDPR/CCPA Compliance Modules Functions for supporting global privacy laws in data management.		No information available
Change Management & Approval Workflow Approval process tracking for critical data or schema changes.		No information available
Policy Documentation Portal Online repository for governance, access, and retention policies.		No information available
Data Stewardship Assignment Assign roles for stewardship and ongoing data oversight.		No information available
Data Usage Monitoring Track and report data access frequency and patterns.		No information available
Automated Regulatory Reporting Template-driven and automated generation of regulatory filings.		No information available
E-discovery Support Tools for responding to legal or regulatory data queries.		No information available
Full Audit Trail Detailed, immutable logging of data access and changes for compliance.		No information available

Standardized API Interfaces Support for REST, GraphQL, or other industry-standard APIs.		No information available
Event Driven Architecture Ability to publish/subscribe to changes via events (e.g., webhooks, Kafka).		No information available
Data Export Connectors Pre-built connectors to downstream systems (accounting, risk, performance).		No information available
Data Import Connectors Connectors for ingesting data from industry-standard vendors and records.		No information available
Bulk Data Transfer Support Efficient mechanisms for exporting/importing large datasets.		No information available
Custom Plugin Support Ability to extend functionality via custom plugins.		No information available
Data Synchronization Scheduling Configure schedules and triggers for sync with external applications.		No information available
Federated Query Support Query data across multiple sources without data movement.		No information available
Open Standards Adoption Uses open-source or de-facto industry schemas and protocols.		No information available
Integration Testing Sandbox Provides a test environment for third-party integration validation.		No information available

Intuitive User Interface Modern, easy-to-navigate web UI for end users and admins.		No information available
Customizable Dashboards Personalized dashboards for different user roles.		No information available
User Activity Monitoring Admin panel to review recent logins and actions.		No information available
Bulk User Management Batch provisioning, editing, or deactivation of users.		No information available
Localization and Multi-language Support UI and documentation in multiple languages.		No information available
Accessibility Compliance Adheres to WCAG or other accessibility standards.		No information available
Custom Notification Settings Users can configure their own notification preferences.		No information available
In-platform Help & Support Contextual help guides, live chat, or ticket escalation.		No information available
System Usage Analytics Track and visualize user adoption and active usage trends.		No information available
Theming & Branding Options Support for organization-specific visual branding.		No information available

Real-Time System Monitoring Visibility into performance, capacity, and health via dashboards.		No information available
Automated Backups Scheduled and on-demand backup management.		No information available
Disaster Recovery Support Plans and automation for fast recovery from critical failures.		No information available
24/7 Technical Support Access to technical support all day, every day.		No information available
Self-Healing Capabilities Automated detection and mitigation of system faults.		No information available
Patch & Version Management Tools for applying updates and managing software versions.		No information available
Automated Resource Scaling Dynamic allocation of compute and storage as workload changes.		No information available
Incident Management Dashboard Central dashboard for viewing, tracking, and resolving operational incidents.		No information available
Performance Baselines Historical records of key performance baselines for benchmarking.		No information available
Service Level Agreement (SLA) Uptime Guaranteed system availability percentage per SLA.		No information available

NeoXam DataHub from NeoXam

Product analysis by function

Investment Data Warehouses for Data Management

Data Integration & Ingestion (10 Yes /10 Known /13 Possible features)

Data Storage & Architecture (10 Yes /10 Known /12 Possible features)

Data Security & Access Control (11 Yes /11 Known /12 Possible features)

Data Quality & Management (9 Yes /9 Known /10 Possible features)

Performance & Scalability (0 Yes /0 Known /10 Possible features)

Analytical & Reporting Tools (0 Yes /0 Known /10 Possible features)

Data Governance & Compliance (0 Yes /0 Known /10 Possible features)

Interoperability & Integration (0 Yes /0 Known /10 Possible features)

User Experience & Administration (0 Yes /0 Known /10 Possible features)

Monitoring, Maintenance & Support (0 Yes /0 Known /10 Possible features)