Reqister/Log in

NeoXam DataHub from NeoXam

Market data management platform that centralizes and distributes financial data across the organization. Features include data quality controls, automated feeds management, and golden copy creation. Designed to help fund managers handle large volumes of multi-asset data while ensuring consistency and accuracy.

Is this your product?

More about NeoXam

Product analysis by function

Market Data Management Platforms for Data Management

Systems that acquire, process, validate, and distribute market data from various sources, including pricing information, reference data, corporate actions, and benchmarks across the organization.
More Market Data Management Platforms More Data Management ...

Data Acquisition
(4 Yes /4 Known /12 Possible features)

Data Processing & Enrichment
(7 Yes /7 Known /12 Possible features)

Data Validation & Quality Assurance
(1 Yes /1 Known /12 Possible features)

Data Distribution & Integration
(0 Yes /0 Known /12 Possible features)

Security & Compliance
(3 Yes /3 Known /12 Possible features)

Administration & Usability
(3 Yes /3 Known /11 Possible features)

Scalability & Performance
(0 Yes /0 Known /12 Possible features)

Vendor & Data License Management
(0 Yes /0 Known /12 Possible features)

Monitoring & Alerting
(0 Yes /0 Known /12 Possible features)

Reference Data & Corporate Actions
(2 Yes /2 Known /12 Possible features)

Reporting & Analytics
(0 Yes /0 Known /12 Possible features)

Compare

Hard working Robot This data was generated by an AI system. Please check with the supplier. More here

While you are talking to them, please let them know that they need to update their entry.

Multi-source connectivity Ability to connect to multiple data sources (exchanges, vendors, etc.).		NeoXam DataHub connects to multiple data sources as a market data hub, per product literature and case studies.
Real-time data ingestion Supports real-time streaming ingestion of data feeds.		Supports real-time and scheduled data feeds; multiple sources state real-time ingestion is supported.
Historical data import Capability to load and process historical datasets.		Historical data management and loading of back-data are documented features.
Automated feed scheduling Automatic scheduling and orchestration of data imports.		Supports automated data importing and feed scheduling as part of its orchestration module.
Latency Average time between data publication and ingestion.		No information available
Concurrent sources supported Maximum number of data sources that can be ingested simultaneously.		No information available
Custom feed handler Support for custom or user-defined data feed integration.		No information available
Vendor API compatibility Supports major market data vendor APIs (Bloomberg, Refinitiv, ICE, etc.).		No information available
Intraday updates Capability to acquire and process intraday or tick-level data.		No information available
File and message protocol support Handles protocols such as FIX, SFTP, API, and others.		No information available
Retry mechanisms Automated retry and failover during feed interruptions.		No information available
Data coverage breadth Number of distinct data asset classes supported.		No information available

Data normalization Automated standardization of source data into a consistent format.		Automated data normalization is a core feature to ensure consistent data across the organization.
Data mapping Maps vendor or source fields to internal data models.		Mapping vendor fields to internal models is discussed as part of its data harmonization process.
Cross-referencing Cross-linking between identifiers (RIC, ISIN, SEDOL, CUSIP, etc.).		Cross-referencing of security identifiers (ISIN, CUSIP, etc.) is explicitly mentioned as a DataHub function.
Identifier management Tracks and manages multiple security identifiers.		Identifier management and mapping is a foundational element of DataHub’s reference/market data management.
Data enrichment Augmenting records with additional metadata from internal or third-party sources.		Augmentation with third-party and internal metadata is frequently cited in product overviews.
Derived values calculation Calculation of derived metrics such as VWAP, moving averages.		Derived calculations (e.g., golden copy generation uses derived and calculated fields) are a highlighted feature.
Business rule engine Configurable rules for custom transformations and enrichment.		Supports configurable business rules and custom transformations as described in platform documentation.
Processing speed Rate at which data records can be processed.		No information available
Batch processing support Handles scheduled or on-demand batch jobs for data transformation.		No information available
Corporate actions adjustment Processes events like dividends, splits, and applies them to security data.		No information available
Data lineage tracking Tracks the origins and transformation steps for each data element.		No information available
Benchmark enrichment Integration of benchmark indices for comparison or analytics.		No information available

Outlier detection Automated checks to identify out-of-range or anomalous values.		Automated outlier detection and exception workflows are part of data quality controls.
Completeness checks Verification that all required data fields are populated.		No information available
Data accuracy scoring Assigns data quality scores based on predefined rules.		No information available
Range validation Validates that data falls within expected parameters.		No information available
Data consistency checks Ensures that data is internally consistent across time and sources.		No information available
Duplicate detection and resolution Identifies and merges or removes duplicate entries.		No information available
Exception management workflow Manages data issues and exceptions with audit trails.		No information available
Alerts and notifications Automatic notifications on validation failures or data anomalies.		No information available
Repair tools Manual and automated tools for correcting data errors.		No information available
Validation rule configurability Ability to define and maintain custom validation rules.		No information available
Audit logs of validations Maintain a full history of validation actions and outcomes.		No information available
Vendor data comparison Cross-checks data from multiple vendors/sources for discrepancies.		No information available

Real-time data publishing Sends updates to consumers as soon as new data arrives.		No information available
Scheduled batch data delivery Supports timed or event-triggered distribution.		No information available
API access Availability of RESTful or other programmatic interfaces.		No information available
File export Exports to standard file formats (CSV, Excel, XML, JSON).		No information available
Message queue integration Delivers data via messaging systems (Kafka, MQ, etc.).		No information available
User-defined delivery channels Support for custom or client-specified distribution mechanisms.		No information available
Consumer permissions management Controls which users/applications receive which data.		No information available
Latency to delivery Time taken from data validation to downstream delivery.		No information available
Downstream system integration Supports integration with trade platforms, analytics, risk, and reporting systems.		No information available
Notifications on data delivery Alerts stakeholders when data is delivered or when delivery fails.		No information available
Bulk download support Ability to download large datasets on demand.		No information available
Output data volume Maximum data that can be distributed within a given period.		No information available

Role-based access control (RBAC) Granular user and system permissions.		No information available
Audit trail Comprehensive logging of all user and system actions for compliance.		No information available
Encryption in transit Secures data as it moves across networks.		No information available
Encryption at rest Stores data in encrypted format on disk.		Encryption at rest is listed among NeoXam DataHub’s security model and compliance modules.
Data masking Redacts sensitive fields from unauthorized users.		No information available
Compliance reporting Automated generation of reports for regulatory purposes.		Standard compliance and audit reports (including for regulations) are mentioned in official product sheets.
Data retention management Configurable policies for data storage and deletion.		No information available
GDPR/CCPA compliance features Functions to support privacy obligations and subject requests.		The platform is GDPR and CCPA compliant (vendor documentation and case studies).
Vendor access controls Restricts and audits external vendor access to systems and data.		No information available
Third-party security certifications Holds certifications such as ISO 27001, SOC 2, etc.		No information available
Secure API gateway Protects and monitors all API accesses.		No information available
Penetration tests frequency Number of penetration/security tests performed per year.		No information available

User management dashboard Admin interface for adding, removing, and managing users.		Comes with a user and entitlement management dashboard per official documentation.
Configuration management User-friendly tools for configuring data sources, rules, and outputs.		No information available
Customizable dashboards Interactive dashboards for monitoring data flows and system health.		Supports customizable dashboards for system health, data validation, and workflow monitoring.
Self-service data access Allows users to query and retrieve data without IT intervention.		No information available
Workflow automation Tools for automating operational processes.		No information available
Multi-language support User interface available in multiple languages.		No information available
Onboarding tools Guides and tools for fast setup of new data sources or users.		No information available
Custom reporting Users can create ad hoc or scheduled reports.		Enables creation of ad hoc and scheduled reports by users, mentioned in both documentation and marketing materials.
Help and documentation Comprehensive user guides, APIs, and support documentation.		No information available
Change tracking Logs and highlights system setting changes.		No information available
User roles supported Number of customizable user roles/groups.		No information available

Horizontal scalability Supports scaling by adding more servers or nodes.		No information available
High availability Built-in redundancy and failover for continuous operation.		No information available
Cloud-native deployment Supports cloud and hybrid deployments.		No information available
Elastic resource allocation Resources scale automatically with demand.		No information available
Maximum throughput Peak volume of data that can be processed per unit time.		No information available
Supported concurrent users Maximum number of simultaneous users.		No information available
Disaster recovery Integrated disaster recovery and rapid restore features.		No information available
Load balancing Automatic distribution of workload across resources.		No information available
Data partitioning Splits data for scalable storage and processing.		No information available
Minimum supported response time Fastest guaranteed response for a standard query.		No information available
Rolling upgrades Enables upgrades without downtime.		No information available
Edge deployment support Deployable close to data sources for ultra-low-latency.		No information available

License enforcement Monitors and enforces contractual data usage limits.		No information available
Data vendor entitlement management Controls access to data assets as per vendor contracts.		No information available
Usage analytics Tracks how and by whom data is consumed.		No information available
Cost allocation tools Allocates and reports data costs by user, team, or business unit.		No information available
Contract management Stores, tracks, and alerts on market data contracts.		No information available
Data usage dashboard Visualizes consumption to optimize vendor spend.		No information available
Automated entitlements provisioning Automates granting and revoking of data rights.		No information available
Audit of vendor usage Auditable trails of all vendor data accesses.		No information available
Inbound/outbound data usage limits Maximum data volumes allowed by licensing contracts.		No information available
Excess usage alerts Notifications when data access exceeds contractual entitlements.		No information available
Flexible entitlement models Supports complex licensing structures (by asset class, geography, user type, etc.).		No information available
License exception handling Processes permissions for exceptional or urgent access needs.		No information available

Feed health monitoring Continuous monitoring of inbound/outbound data feeds for up/down states.		No information available
Application performance monitoring Monitors resource usage, latency, and system responsiveness.		No information available
Custom alert configuration Allows users to set specific alerting conditions.		No information available
Alert notification channels Supports email, SMS, dashboard pop-ups, etc.		No information available
Incident tracking integration Integrates with ticketing/incident systems (ServiceNow, Jira, etc.).		No information available
Downtime tracking Measures and logs system or feed outages.		No information available
SLA monitoring Checks if platform performance meets service-level agreements.		No information available
Event log retention Length of time logs and metrics are stored.		No information available
Proactive anomaly detection AI/ML-driven detection of unexpected system behaviors.		No information available
User activity monitoring Tracks user-level activity for security and compliance.		No information available
Dashboard visualization of alerts Consolidated view of all operational metrics and alerts.		No information available
Escalation workflow for critical alerts Automated escalation process for unresolved incidents.		No information available

Multi-identifier support Manages various instrument and counterparty identifiers (ISIN, LEI, SEDOL, etc.).		No information available
Entity relationship mapping Captures relationships between entities (issuer, parent, subsidiary, etc.).		No information available
Corporate actions feed integration Integrates with standardized action feeds from vendors and custodians.		No information available
Corporate action event validation Validates and confirms authenticity of announced events.		No information available
Event impact calculation Determines the effect of actions (splits, mergers, etc.) on security data.		No information available
Audit history of changes Maintains a trail of changes to reference data and corporate action processing.		No information available
Golden copy management Maintains a single validated version of key reference data.		NeoXam DataHub golden copy management is one of its signature functionalities.
Exception workflow for action events Routes problematic events for manual review or escalation.		No information available
Cross-asset class reference data Supports all asset types: equities, fixed income, derivatives, etc.		Designed for multi-asset data management, explicitly supports cross-asset reference data.
Automated data refresh frequency Frequency at which reference data is automatically refreshed.		No information available
Source reconciliation Cross-verifies reference data from multiple sources.		No information available
Orphaned record detection Identifies reference data without supporting records (for deprecation/removal).		No information available

Standard report library Pre-built reports for common market data, quality, and usage metrics.		No information available
Custom report builder Create, schedule, and distribute custom reports.		No information available
Data lineage analysis Visualize the data’s journey from source through transformation to consumer.		No information available
Audit and compliance reporting Dedicated reports for compliance review and audits.		No information available
Usage statistics dashboard Interactive dashboard for visualizing consumption, errors, and bottlenecks.		No information available
Drill-down analytics Enables detailed exploration of underlying datasets.		No information available
Time series analytics Analyzes trends and patterns in price or reference data over time.		No information available
Export to BI tools Integration with popular business intelligence platforms.		No information available
Scheduled report delivery Automated report generation and emailing.		No information available
Ad hoc query support On-demand querying and analysis of market or reference data.		No information available
Large dataset reporting performance Maximum data volume supported for interactive reporting.		No information available
Custom visualization tools Built-in tools for data charting and visualization.		No information available

NeoXam DataHub from NeoXam

Product analysis by function

Market Data Management Platforms for Data Management

Data Acquisition (4 Yes /4 Known /12 Possible features)

Data Processing & Enrichment (7 Yes /7 Known /12 Possible features)

Data Validation & Quality Assurance (1 Yes /1 Known /12 Possible features)

Data Distribution & Integration (0 Yes /0 Known /12 Possible features)

Security & Compliance (3 Yes /3 Known /12 Possible features)

Administration & Usability (3 Yes /3 Known /11 Possible features)

Scalability & Performance (0 Yes /0 Known /12 Possible features)

Vendor & Data License Management (0 Yes /0 Known /12 Possible features)

Monitoring & Alerting (0 Yes /0 Known /12 Possible features)

Reference Data & Corporate Actions (2 Yes /2 Known /12 Possible features)

Reporting & Analytics (0 Yes /0 Known /12 Possible features)