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Adenza ControllerView from Calypso Technology (Adenza)
Adenza's data integration platform enables fund managers to consolidate and harmonize data from multiple sources for risk management, portfolio analytics, and regulatory reporting. It offers data lineage tracking, validation, and transformation capabilities with a focus on data governance.
More about Calypso Technology (Adenza)
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
(0 Yes /0 Known /13 Possible features)
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API Connectivity Capability to connect and interact with other systems via APIs (REST, SOAP, etc.). |
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Pre-built Connectors Availability of pre-built connectors to common fund systems, custodians, administrators, and data vendors. |
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Custom Connector Support Ability to build custom data connectors/adapters. |
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File-based Integration Supports integration via file exchange (CSV, XML, XLS, etc.). |
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Message Queue Integration Integration with messaging systems/brokers (MQ, Kafka, RabbitMQ). |
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FTP/SFTP Capabilities Ability to send/receive data via FTP or SFTP protocols. |
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Webhooks Support Supports event-driven integrations via webhooks. |
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Batch vs. Real-time Processing Flexible support for both batch and real-time data integration. |
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Data Source Auto-Discovery Automated recognition and onboarding of new data sources. |
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Partner Network Ecosystem of certified integration partners. |
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Number of Supported Systems Total number of different systems/platforms supported for integration. |
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Simultaneous Connections Maximum concurrent data connections supported. |
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API Throughput Maximum number of API calls handled per second. |
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Data Transformation & ETL
(0 Yes /0 Known /12 Possible features)
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Visual Data Mapping Graphical tools for defining data transformation and mapping. |
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Scripting/Custom Logic Ability to include scripts or custom logic in data pipelines. |
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Data Validation Rules Built-in validation of data formats, types, and constraints. |
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Error Handling & Logging Comprehensive error tracking and data issue logging mechanisms. |
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Automated Data Cleansing Capabilities to auto-correct or flag suspect data. |
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Data Enrichment Ability to enhance datasets with reference or market data. |
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Reprocessing Failed Batches Supports automated or manual rerun of failed data batches. |
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Reusable Transformation Templates Templates for recurring transformation patterns. |
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Auditable Transformation Steps Transformation history and audit logging for compliance. |
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Parallel Processing Concurrency in executing ETL jobs. |
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Job Runtime Average time taken to run an ETL job. |
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Supported Data Types Number of structured/semi-structured/unstructured data types supported. |
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Data Quality & Governance
(0 Yes /0 Known /12 Possible features)
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Data Lineage Tracing data origin, transformations, and flow. |
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Data Catalog Central registry of available data and sources. |
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Quality Metrics Dashboard Visualization of data quality indicators (completeness, accuracy, timeliness, etc.). |
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Automated Anomaly Detection Identifying data outliers or issues automatically. |
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Data Versioning Version control for datasets and schemas. |
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Master Data Management Ensures unique and consistent master data across systems. |
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Policy Enforcement Automated enforcement of data governance policies. |
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Stewardship Workflows Tools for data stewards to manage and resolve issues. |
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Regulatory Reporting Support Facilitates compliance with industry and regulatory standards. |
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Data Retention Policy Controls Configuration of record retention and disposal schedules. |
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Role-based Data Access Restricts actions/visibility based on user/group roles. |
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Access Audit Logs Detailed logging of data access and modifications. |
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Security & Compliance
(0 Yes /0 Known /12 Possible features)
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Data Encryption In-Transit Encryption of all data during transfer between systems. |
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Data Encryption At-Rest Encryption of stored data on disk/databases. |
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Multi-factor Authentication Multi-factor login for users and administrators. |
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User Access Controls Fine-grained control over user permissions and roles. |
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Audit Trail Complete logging of all user and system activities. |
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Compliance Certifications Adherence (and certifications) to standards like ISO 27001, SOC 2, GDPR. |
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Secure API Authentication Token-based or certificate-based authentication for APIs. |
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Penetration Testing Practices Regular security testing for vulnerabilities. |
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Data Masking/Redaction Ability to mask or redact sensitive data in outputs. |
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Incident Response Mechanisms Pre-defined procedures for data breaches or security incidents. |
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Automated Compliance Monitoring Continuous monitoring for regulatory compliance violations. |
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Retention Policy Enforcement Automated enforcement of data retention and document destruction policies. |
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Performance & Scalability
(0 Yes /0 Known /10 Possible features)
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Horizontal Scalability Ability to scale out across multiple servers or cloud instances. |
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Vertical Scalability Ability to add resources (CPU, RAM, Storage) to improve performance. |
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Data Throughput Maximum volume of data processable per unit time. |
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Latency Average time taken to process a transaction or data record. |
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Concurrency Support Number of data flows/pipelines that can run in parallel. |
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High Availability Built-in failover and redundancy for uninterrupted service. |
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Load Balancing Distributes workloads evenly for optimal resource usage. |
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Auto-scaling Automatic adjustment of resources based on workload. |
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Processing Window Size Configurable time window for batch processing. |
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Transaction Volume Capacity Maximum volume of transactions supported per day. |
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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. |
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Custom Alerts User-configurable monitoring rules and thresholds. |
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Historical Data Analytics Tools for reviewing past trends and incidents. |
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Error Notification Channels Multiple channels for error alerts (email, SMS, Slack, etc.). |
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Automated Remediation Rules to auto-resolve common issues or trigger workflows. |
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Usage Analytics Reports on platform usage and performance. |
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User Activity Logging Detailed tracking of all user activities. |
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Customizable Reporting Support for building and scheduling custom reports. |
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MTTR Tracking Time to detect and resolve technical incidents. |
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Alert Response Time Time for alerts to be delivered to responsible parties. |
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User Experience & Self-service
(0 Yes /0 Known /10 Possible features)
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No-code/Low-code Pipeline Builder Drag-and-drop interface for building data flows without programming. |
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Role-based Dashboards User interfaces tailored for different user types (IT, Ops, Business, etc.) |
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Self-service Data Ingestion Allow non-technical users to upload and ingest data. |
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Template Library Library of pre-built templates for common data flows and use cases. |
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Customizable Workspaces Users can personalize workspace layouts, filters, and views. |
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Inline Help & Documentation Integrated help, tooltips, and user guides. |
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Approval Workflows Request/approve changes to pipelines and integrations. |
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Bulk Operations Manage multiple records/files in one action. |
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Search & Filtering Powerful search and filtering of data and workflows. |
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Mobile Accessibility Mobile-friendly or dedicated mobile applications. |
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Deployment & Architecture
(0 Yes /0 Known /10 Possible features)
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Cloud Deployment Support Native support for cloud deployment (AWS, Azure, GCP). |
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On-premises Installation Support for on-premises or private cloud environments. |
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Hybrid Deployment Ability to operate across both cloud and on-premises infrastructure. |
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Multi-tenancy Supports logical separation for different teams or clients. |
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Microservices Architecture System is designed with microservices for modularity and resilience. |
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Disaster Recovery Capabilities Automatic failover and backup/restore for business continuity. |
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Containerization Support Support for Docker, Kubernetes, and similar technologies. |
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Multi-region Support Ability to operate across multiple geographic regions/data centers. |
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Zero-downtime Upgrades Apply platform upgrades without interrupting service. |
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Resource Auto-provisioning Automated deployment and resource allocation. |
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Vendor Support & Ecosystem
(0 Yes /0 Known /10 Possible features)
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24/7 Technical Support Round-the-clock access to expert technical support. |
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Dedicated Account Manager A single point of contact for relationship management. |
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Community Forums Engaged user community for peer support. |
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Extensive Documentation Detailed guides, manuals, and reference materials. |
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Regular Product Updates Frequent improvements and new feature releases. |
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Training & Certification Availability of certifications and formal training programs. |
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Partner/Marketplace Ecosystem Third-party integrations, add-ons, and certified partners. |
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Service Level Agreements (SLAs) Contractual performance and availability guarantees. |
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Customer Success Programs Proactive guidance to help clients realize value. |
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Multi-language Support Availability of user interfaces and documentation in multiple languages. |
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Cost & Licensing
(0 Yes /0 Known /10 Possible features)
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Usage-based Pricing Pricing model based on consumption (e.g., data processed, transactions, users). |
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Flexible License Models Options for perpetual, subscription, or pay-as-you-go licenses. |
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Transparent Pricing Clear, upfront pricing without hidden fees. |
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Trial/Evaluation Period Available free trial or PoC before commitment. |
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Volume Discounts Discounts for larger usage or enterprise agreements. |
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Support Cost Inclusions Support and maintenance included in standard fees. |
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Cost Predictability Ability to forecast and control total cost of ownership. |
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Automated Billing Self-service billing and invoicing. |
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Cost Optimization Tools Built-in analytics to optimize platform usage and minimize cost. |
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Multi-currency Pricing Support Ability to quote and bill in multiple currencies. |
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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. |
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Custom Workflow Support Build and deploy custom data workflows and processes. |
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API for Custom Integrations Well-documented APIs for extending and integrating with external tools. |
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White-labeling Ability to customize branding and user interface. |
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Custom Roles & Permissions Define new user roles and granular access configurations. |
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Scripting Language Support Built-in support for languages like Python or JavaScript for user scripts. |
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UI Theming and Customization Configure appearance and user interface elements. |
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Event Hooks Custom logic triggered on data events or system actions. |
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Open Standards Compliance Built with and extends using open industry standards. |
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Integration SDK Software development kit for building deep integrations. |
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