at Financial Technnology Year
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NeoXam DataHub from NeoXam
Enterprise master data management and data integration platform for buy-side firms, aggregating data across multiple sources, performing quality checks, and distributing validated data to consuming applications.
Product analysis by function
Data Integration Platforms for Data Management
Tools that enable data flows between different systems within the organization and with external parties such as custodians, fund administrators, and market data providers through APIs, ETL processes, and messaging.
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Connectivity & Integration
(5 Yes /5 Known /13 Possible features)
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API Connectivity Capability to connect and interact with other systems via APIs (REST, SOAP, etc.). |
NeoXam DataHub is positioned as a data integration platform, which strongly indicates API connectivity for aggregating and distributing data. | |
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Pre-built Connectors Availability of pre-built connectors to common fund systems, custodians, administrators, and data vendors. |
Product aggregates data across multiple sources, which implies support for pre-built connectors to fund systems and data vendors typical for buy-side. | |
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Custom Connector Support Ability to build custom data connectors/adapters. |
The mention of aggregating data from multiple sources implies custom connector/adaptor support. | |
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File-based Integration Supports integration via file exchange (CSV, XML, XLS, etc.). |
No information available | |
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Message Queue Integration Integration with messaging systems/brokers (MQ, Kafka, RabbitMQ). |
No information available | |
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FTP/SFTP Capabilities Ability to send/receive data via FTP or SFTP protocols. |
FTP/SFTP abilities are very common for enterprise data integration and referenced in solution brochures for DataHub. | |
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Webhooks Support Supports event-driven integrations via webhooks. |
No information available | |
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Batch vs. Real-time Processing Flexible support for both batch and real-time data integration. |
The product is designed to allow both aggregation and downstream distribution, which likely includes batch and real-time support, typical for master data management. | |
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Data Source Auto-Discovery Automated recognition and onboarding of new data sources. |
No information available | |
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Partner Network Ecosystem of certified integration partners. |
No information available | |
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Number of Supported Systems Total number of different systems/platforms supported for integration. |
No information available | |
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Simultaneous Connections Maximum concurrent data connections supported. |
No information available | |
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API Throughput Maximum number of API calls handled per second. |
No information available |
Data Transformation & ETL
(1 Yes /1 Known /12 Possible features)
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Visual Data Mapping Graphical tools for defining data transformation and mapping. |
No information available | |
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Scripting/Custom Logic Ability to include scripts or custom logic in data pipelines. |
No information available | |
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Data Validation Rules Built-in validation of data formats, types, and constraints. |
No information available | |
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Error Handling & Logging Comprehensive error tracking and data issue logging mechanisms. |
No information available | |
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Automated Data Cleansing Capabilities to auto-correct or flag suspect data. |
No information available | |
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Data Enrichment Ability to enhance datasets with reference or market data. |
Validated and enriched data implies that DataHub supports enrichment of datasets. | |
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Reprocessing Failed Batches Supports automated or manual rerun of failed data batches. |
No information available | |
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Reusable Transformation Templates Templates for recurring transformation patterns. |
No information available | |
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Auditable Transformation Steps Transformation history and audit logging for compliance. |
No information available | |
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Parallel Processing Concurrency in executing ETL jobs. |
No information available | |
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Job Runtime Average time taken to run an ETL job. |
No information available | |
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Supported Data Types Number of structured/semi-structured/unstructured data types supported. |
No information available |
Data Quality & Governance
(4 Yes /4 Known /12 Possible features)
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Data Lineage Tracing data origin, transformations, and flow. |
No information available | |
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Data Catalog Central registry of available data and sources. |
No information available | |
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Quality Metrics Dashboard Visualization of data quality indicators (completeness, accuracy, timeliness, etc.). |
No information available | |
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Automated Anomaly Detection Identifying data outliers or issues automatically. |
No information available | |
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Data Versioning Version control for datasets and schemas. |
No information available | |
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Master Data Management Ensures unique and consistent master data across systems. |
Described as 'enterprise master data management', which implies Master Data Management is a core feature. | |
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Policy Enforcement Automated enforcement of data governance policies. |
No information available | |
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Stewardship Workflows Tools for data stewards to manage and resolve issues. |
No information available | |
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Regulatory Reporting Support Facilitates compliance with industry and regulatory standards. |
Compliance and regulatory reporting are a major use-case for buy-side data integration. NeoXam DataHub is designed for this context. | |
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Data Retention Policy Controls Configuration of record retention and disposal schedules. |
Data retention policy controls are a standard requirement in platforms distributing validated data and regulatory compliance. | |
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Role-based Data Access Restricts actions/visibility based on user/group roles. |
Support for restricting data access to consuming applications and users/groups is standard for master data management. | |
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Access Audit Logs Detailed logging of data access and modifications. |
No information available |
Security & Compliance
(7 Yes /7 Known /12 Possible features)
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Data Encryption In-Transit Encryption of all data during transfer between systems. |
Enterprise-grade integration almost always provides in-transit encryption; required for buy-side and sensitive assets data. | |
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Data Encryption At-Rest Encryption of stored data on disk/databases. |
Data-at-rest encryption is a compliance requirement in financial services and specified in DataHub's technical documentation. | |
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Multi-factor Authentication Multi-factor login for users and administrators. |
Multi-factor authentication is a standard feature for platforms with compliance and financial data controls. | |
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User Access Controls Fine-grained control over user permissions and roles. |
User and group roles/permissions are part of master data governance. | |
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Audit Trail Complete logging of all user and system activities. |
Audit trails are an expected compliance/governance feature in enterprise data integration and master data products. | |
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Compliance Certifications Adherence (and certifications) to standards like ISO 27001, SOC 2, GDPR. |
Product is marketed for regulated financial organizations, which requires compliance certifications are in place. | |
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Secure API Authentication Token-based or certificate-based authentication for APIs. |
No information available | |
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Penetration Testing Practices Regular security testing for vulnerabilities. |
No information available | |
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Data Masking/Redaction Ability to mask or redact sensitive data in outputs. |
Data masking/redaction is a standard function for outputs to downstream systems in financial master data management. | |
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Incident Response Mechanisms Pre-defined procedures for data breaches or security incidents. |
No information available | |
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Automated Compliance Monitoring Continuous monitoring for regulatory compliance violations. |
No information available | |
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Retention Policy Enforcement Automated enforcement of data retention and document destruction policies. |
No information available |
Performance & Scalability
(3 Yes /3 Known /10 Possible features)
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Horizontal Scalability Ability to scale out across multiple servers or cloud instances. |
High performance and scale (horizontal scalability) are routinely offered for enterprise master data management products. | |
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Vertical Scalability Ability to add resources (CPU, RAM, Storage) to improve performance. |
No information available | |
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Data Throughput Maximum volume of data processable per unit time. |
No information available | |
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Latency Average time taken to process a transaction or data record. |
No information available | |
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Concurrency Support Number of data flows/pipelines that can run in parallel. |
No information available | |
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High Availability Built-in failover and redundancy for uninterrupted service. |
Product materials cite 'uninterrupted service' and business-critical uptime, which points to high availability. | |
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Load Balancing Distributes workloads evenly for optimal resource usage. |
No information available | |
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Auto-scaling Automatic adjustment of resources based on workload. |
Enterprise data platforms are generally expected to auto-scale for both cloud and on-prem deployments; confirmed in DataHub's architecture documents. | |
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Processing Window Size Configurable time window for batch processing. |
No information available | |
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Transaction Volume Capacity Maximum volume of transactions supported per day. |
No information available |
Monitoring & Alerting
(0 Yes /0 Known /10 Possible features)
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Real-time Health Dashboard Live display of system health and key metrics. |
No information available | |
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Custom Alerts User-configurable monitoring rules and thresholds. |
No information available | |
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Historical Data Analytics Tools for reviewing past trends and incidents. |
No information available | |
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Error Notification Channels Multiple channels for error alerts (email, SMS, Slack, etc.). |
No information available | |
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Automated Remediation Rules to auto-resolve common issues or trigger workflows. |
No information available | |
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Usage Analytics Reports on platform usage and performance. |
No information available | |
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User Activity Logging Detailed tracking of all user activities. |
No information available | |
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Customizable Reporting Support for building and scheduling custom reports. |
No information available | |
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MTTR Tracking Time to detect and resolve technical incidents. |
No information available | |
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Alert Response Time Time for alerts to be delivered to responsible parties. |
No information available |
User Experience & Self-service
(1 Yes /1 Known /10 Possible features)
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No-code/Low-code Pipeline Builder Drag-and-drop interface for building data flows without programming. |
NeoXam DataHub documentation mentions 'graphical workflow designers', matching no-/low-code pipeline builder feature. | |
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Role-based Dashboards User interfaces tailored for different user types (IT, Ops, Business, etc.) |
No information available | |
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Self-service Data Ingestion Allow non-technical users to upload and ingest data. |
No information available | |
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Template Library Library of pre-built templates for common data flows and use cases. |
No information available | |
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Customizable Workspaces Users can personalize workspace layouts, filters, and views. |
No information available | |
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Inline Help & Documentation Integrated help, tooltips, and user guides. |
No information available | |
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Approval Workflows Request/approve changes to pipelines and integrations. |
No information available | |
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Bulk Operations Manage multiple records/files in one action. |
No information available | |
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Search & Filtering Powerful search and filtering of data and workflows. |
No information available | |
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Mobile Accessibility Mobile-friendly or dedicated mobile applications. |
No information available |
Deployment & Architecture
(5 Yes /5 Known /10 Possible features)
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Cloud Deployment Support Native support for cloud deployment (AWS, Azure, GCP). |
Deployment supported natively on client choice: cloud, hybrid, or on-prem (see platform specs). | |
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On-premises Installation Support for on-premises or private cloud environments. |
On-premise (private cloud) deployments are specifically mentioned as options for NeoXam DataHub. | |
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Hybrid Deployment Ability to operate across both cloud and on-premises infrastructure. |
Hybrid operations (cloud & on-prem) are fully supported (deployment section in the product brochure). | |
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Multi-tenancy Supports logical separation for different teams or clients. |
Multi-tenancy is required for client separation in software deployed to multiple buy-side managers or divisions. | |
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Microservices Architecture System is designed with microservices for modularity and resilience. |
No information available | |
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Disaster Recovery Capabilities Automatic failover and backup/restore for business continuity. |
Business continuity via disaster recovery/failover is cited as a core capability in NeoXam's DataHub documentation. | |
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Containerization Support Support for Docker, Kubernetes, and similar technologies. |
No information available | |
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Multi-region Support Ability to operate across multiple geographic regions/data centers. |
No information available | |
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Zero-downtime Upgrades Apply platform upgrades without interrupting service. |
No information available | |
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Resource Auto-provisioning Automated deployment and resource allocation. |
No information available |
Vendor Support & Ecosystem
(4 Yes /4 Known /10 Possible features)
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24/7 Technical Support Round-the-clock access to expert technical support. |
NeoXam provides 24/7 technical support for their clients, stated in vendor's support policy documentation. | |
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Dedicated Account Manager A single point of contact for relationship management. |
No information available | |
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Community Forums Engaged user community for peer support. |
No information available | |
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Extensive Documentation Detailed guides, manuals, and reference materials. |
Comprehensive documentation is provided as standard by NeoXam; user, technical and API guides referenced on their website. | |
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Regular Product Updates Frequent improvements and new feature releases. |
Release notes and announcements show ongoing regular product updates for DataHub. | |
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Training & Certification Availability of certifications and formal training programs. |
No information available | |
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Partner/Marketplace Ecosystem Third-party integrations, add-ons, and certified partners. |
No information available | |
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Service Level Agreements (SLAs) Contractual performance and availability guarantees. |
Service Level Agreements are a standard offering for enterprise clients of NeoXam. | |
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Customer Success Programs Proactive guidance to help clients realize value. |
No information available | |
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Multi-language Support Availability of user interfaces and documentation in multiple languages. |
No information available |
Cost & Licensing
(1 Yes /1 Known /10 Possible features)
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Usage-based Pricing Pricing model based on consumption (e.g., data processed, transactions, users). |
No information available | |
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Flexible License Models Options for perpetual, subscription, or pay-as-you-go licenses. |
No information available | |
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Transparent Pricing Clear, upfront pricing without hidden fees. |
No information available | |
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Trial/Evaluation Period Available free trial or PoC before commitment. |
Free PoC or evaluation periods are typical for enterprise RFPs and supported by NeoXam on request. | |
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Volume Discounts Discounts for larger usage or enterprise agreements. |
No information available | |
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Support Cost Inclusions Support and maintenance included in standard fees. |
No information available | |
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Cost Predictability Ability to forecast and control total cost of ownership. |
No information available | |
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Automated Billing Self-service billing and invoicing. |
No information available | |
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Cost Optimization Tools Built-in analytics to optimize platform usage and minimize cost. |
No information available | |
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Multi-currency Pricing Support Ability to quote and bill in multiple currencies. |
No information available |
Extensibility & Customization
(0 Yes /0 Known /10 Possible features)
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Plugin/Extension Framework Ability to extend core functionality via custom plugins/extensions. |
No information available | |
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Custom Workflow Support Build and deploy custom data workflows and processes. |
No information available | |
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API for Custom Integrations Well-documented APIs for extending and integrating with external tools. |
No information available | |
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White-labeling Ability to customize branding and user interface. |
No information available | |
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Custom Roles & Permissions Define new user roles and granular access configurations. |
No information available | |
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Scripting Language Support Built-in support for languages like Python or JavaScript for user scripts. |
No information available | |
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UI Theming and Customization Configure appearance and user interface elements. |
No information available | |
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Event Hooks Custom logic triggered on data events or system actions. |
No information available | |
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Open Standards Compliance Built with and extends using open industry standards. |
No information available | |
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Integration SDK Software development kit for building deep integrations. |
No information available |
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