at Financial Technnology Year
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Striim Platform from Striim
Real-time data integration and analytics platform with change data capture, in-memory stream processing, and financial services connectors that help pension funds implement real-time data pipelines, monitor investment activities, detect anomalies, and support time-sensitive decision-making with minimal latency.
Product analysis by function
Data Integration and ETL Tools for Data and Analytics
Systems that extract, transform, and load data between various pension systems, ensuring consistent information flow across investment, member administration, and financial platforms.
More Data Integration and ETL Tools
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Data Connectivity
(11 Yes /11 Known /13 Possible features)
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Wide Source Support Support for a wide range of data sources (databases, files, APIs, SaaS, etc.). |
Striim lists support for a wide range of databases, files, APIs, and cloud/SaaS sources in documentation. | |
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Pre-built Connectors Availability of out-of-the-box connectors for common pension fund systems (admin, investments, finance, etc.). |
Striim offers pre-built connectors for common financial systems and data sources. | |
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Custom Connector Development Ability to quickly build connectors for proprietary or less common systems. |
Offers rapid creation of custom connectors for proprietary or legacy systems (via their SDK/documentation). | |
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Real-time Data Sync Capability to integrate with sources in real time or near real time. |
Primary focus is real-time data sync/streaming pipelines via in-memory processing. | |
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Batch Data Loading Support for scheduled or trigger-based batch data ingestion. |
Batch processing is supported for large datasets and scheduled jobs. | |
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On-premises and Cloud Compatibility Ability to connect to both cloud-based and local systems securely. |
Documentation confirms support for cloud and on-premises data source connectivity. | |
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Data Lake Integration Native integration with data lakes for large-scale storage and analytics. |
Can integrate with cloud data lakes such as Databricks, BigQuery, AWS S3, etc. | |
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Streaming Data Support Capability for ingesting and processing streaming data (e.g., market feeds). |
Streaming ETL and support for market data feeds are core Striim features. | |
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Data Virtualization Ability to access and analyze data without physically moving it. |
No information available | |
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Connectivity Through Firewalls Handles secure access to data sources behind firewalls or within restricted networks. |
Connectivity through firewalls supported via secure agents/tunneling, referenced in best practices. | |
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Concurrent Data Connections Maximum number of simultaneous source/target connections supported. |
No information available | |
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Multiple Environment Support Ability to connect to multiple segregated environments (dev, test, prod). |
Connects to multiple environments/dev, staging, production as per deployment documentation. | |
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Built-in Schedulers Integrated job schedulers for managing ETL tasks. |
Includes built-in scheduling and orchestration tools for ETL job management. |
Transformation and Data Wrangling
(11 Yes /11 Known /13 Possible features)
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No-code/Low-code Transformation UI Provides graphical or drag-and-drop tools for creating transformation pipelines. |
Striim has drag-and-drop pipeline builder supporting low-code transformation. | |
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Advanced Scripting Support Enables complex logic in common script languages (Python, SQL, Java, etc.). |
Supports built-in scripting (Java, SQL) for advanced transformation logic. | |
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Bulk Data Transformation Processes large volumes of data efficiently. |
Engine designed for bulk transformation and high-throughput ETL pipelines. | |
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Data Profiling Automatic data type detection, outlier analysis, and data statistics. |
Data profiling features for source analysis and anomaly detection are highlighted. | |
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Data Cleansing Functions Built-in functions for deduplication, null value imputation, and standardization. |
Supports cleansing (deduplication, null handling, etc.) in transformation flows. | |
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Schema Mapping Automatic or assisted mapping between source and target data models. |
Mapping tools provided for schema mapping between sources and targets. | |
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Data Enrichment Augmenting internal data with 3rd party or external sources (e.g. actuarial tables). |
Can enrich data using external market or actuarial feeds—as per use cases. | |
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Semantic Layer Support Apply business logic and definitions at a semantic level for consistency. |
No information available | |
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Reusable Transformation Components Ability to save and reuse transformation logic/templates across processes. |
Reusable templates supported via pipeline copying and shared components. | |
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Version Control for Pipelines Tracks changes and versions for transformation logic. |
Version history and rollback for pipelines provided in enterprise edition. | |
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Transformation Speed Rate of data processed during ETL transformation. |
No information available | |
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Dynamic Parameterization Allows runtime variables/parameters in transformation pipelines. |
Runtime parameterization is available in pipeline config (see API/CLI guides). | |
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Error Handling and Logging Rich error tracking, logging, and remediation features. |
Detailed error logging and handling options available. |
Data Quality and Validation
(10 Yes /10 Known /13 Possible features)
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Built-in Data Quality Rules Library of common data quality checks (valid ranges, mandatory fields, format checks). |
Library of data validation and quality checks; customizable. | |
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Custom Validation Rules Ability to configure or code custom data validation checks. |
Supports user-defined validation logic within pipelines. | |
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Data Lineage Tracking Tracks origin, movements, and changes to specific data fields. |
Lineage and provenance tracking available for compliance workflows. | |
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Anomaly Detection Automatically flags outliers or unusual data patterns. |
Outlier and anomaly detection included via built-in analytics. | |
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Data Reconciliation Features Tools for reconciling member, transaction, and holding data between systems. |
No information available | |
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Automated Data Correction Allows automatic remediation or correction of known data issues. |
No information available | |
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Audit Trail Comprehensive logs show every data change and processing step. |
Comprehensive audit logs of changes and data events are documented. | |
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Data Quality Dashboards Visual dashboards for data quality metrics over time. |
Quality metrics are visualized in the console/dashboard. | |
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Duplicate Record Detection Auto-identifies duplicate entries (e.g., members with multiple accounts). |
Duplicate detection is part of data quality feature set. | |
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Data Quality Reporting Generates on-demand data quality reports, including exception reports. |
Generates quality and exception reports for review. | |
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Threshold Alerts Configurable alerts for when data quality falls below set thresholds. |
Quality threshold alerts configurable in monitoring dashboard. | |
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Data Retention Policy Enforcement Support for enforcing data retention and deletion schedules. |
Data retention policies configurable per pipeline or data source. | |
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Data Validity Rate Percentage of data passing all quality and validation checks. |
No information available |
Security and Compliance
(8 Yes /8 Known /13 Possible features)
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Data Encryption In-Transit Encrypts all data while it moves between sources, transformation, and targets. |
End-to-end encryption in transit via SSL/TLS—confirmed by docs. | |
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Data Encryption At-Rest Encrypts all data at storage level within ETL systems. |
Encrypts data at rest in cloud and on-prem deployments. | |
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Role-Based Access Control (RBAC) Manage feature/data access based on user roles and permissions. |
Role-based permissions for objects, jobs, and data. | |
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Single Sign-On (SSO) Integration Integrates with enterprise SSO for user authentication. |
Supports SAML and other SSO protocols for authentication. | |
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Audit Logging Keeps secure, immutable logs of all activities for compliance. |
Audit logging is a standard feature in Striim. | |
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GDPR and Data Privacy Support Features to enforce privacy by design, encryption, and auditability. |
Mentioned as GDPR-compliant in marketing, including privacy controls. | |
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PII Masking and Redaction Automated data masking of personally identifiable information. |
PII masking/redaction available in transformation functions. | |
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Data Residency Controls Controls to ensure data is stored and processed only in permitted geographies. |
No information available | |
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Activity Monitoring & Alerting Automated alerts on suspicious access or data movement. |
Alerting on suspicious behavior and monitoring user activity configurable. | |
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Compliance Certifications Evidence of passing ISO 27001, SOC 2, or other relevant audits. |
No information available | |
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Custom Access Policies Support for defining organization-specific security rules. |
No information available | |
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Data Anonymization Automated tools to anonymize data sets for testing or analytics. |
No information available | |
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Regulatory Reporting Automation Automates key regulatory (e.g., pension fund) reporting requirements. |
No information available |
Performance and Scalability
(7 Yes /7 Known /13 Possible features)
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Horizontal Scalability Supports scale-out architecture to handle increasing data or user loads. |
Engine supports scale-out; can add nodes for increased load. | |
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Vertical Scalability Can utilize additional hardware resources on single nodes efficiently. |
Supports elastic use of hardware, as per resource allocation documents. | |
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High Throughput Capable of processing large volumes within tight SLAs. |
Designed for high-throughput processing (advertised as a differentiator). | |
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Concurrent Job Execution Runs multiple ETL jobs in parallel without resource contention. |
Multiple pipelines run concurrently; resource management present. | |
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Auto-scaling Automatically increases or decreases resources based on load. |
Auto-scales resources in cloud deployments (see public cloud guides). | |
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Latency Typical time delay from extraction to loading data. |
No information available | |
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Peak Data Volume Maximum data volume the system can handle per unit time. |
No information available | |
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Resource Utilization Monitoring Monitors CPU, memory, and storage utilization during workloads. |
No information available | |
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Failover & Redundancy Has features for automatic recovery/failover in the event of hardware or network failures. |
Failover and redundancy features for both cloud and hybrid; references in business continuity. | |
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Job Prioritization Allows task prioritization for critical ETL workloads. |
No information available | |
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Distributed Processing Can distribute processing to multiple nodes for faster ETL. |
Distributes ETL processing across nodes in a cluster. | |
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Load Balancing Automatically balances load between ETL nodes. |
No information available | |
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Processing Speed Average number of records processed per second. |
No information available |
Orchestration and Automation
(0 Yes /0 Known /13 Possible features)
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Workflow Designer Graphical or code-based interface to build and visualize data pipelines. |
No information available | |
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Scheduling and Automation Schedule jobs by time, event, or dependency. |
No information available | |
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Event-Driven Processing Triggers ETL pipelines based on data arrival or system events. |
No information available | |
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Conditional Logic Supports IF/ELSE or other logic for handling complex pension data flows. |
No information available | |
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Job Dependency Management Automatically manages upstream and downstream dependencies. |
No information available | |
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Retry and Recovery Policies Automated retry and recovery for failed tasks. |
No information available | |
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Alerts and Notifications Sends automated notifications on job success, failures, or SLAs breaches. |
No information available | |
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Parameterization of Jobs Run pipelines with parameters for reusability. |
No information available | |
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Human-in-the-Loop Approval Steps Supports manual approval or intervention within automated flows. |
No information available | |
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Workflow Templates Preconfigured workflow templates for common pension fund tasks. |
No information available | |
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Pause and Resume Workflows Can pause/resume (maintenance, issues) workflows in progress. |
No information available | |
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End-to-End Logging Logs all orchestration events across workflows. |
No information available | |
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API for Job Control API to launch, monitor, or change workflows programmatically. |
No information available |
User Experience and Collaboration
(4 Yes /4 Known /13 Possible features)
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Intuitive User Interface Modern, usable UI for both technical and non-technical users. |
Modern UI for both technical and business users showcased in videos/demos. | |
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Role-specific Dashboards Custom dashboards for admins, analysts, or data stewards. |
No information available | |
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Multi-user Collaboration Allows simultaneous access and editing by teams. |
Multiple users collaborate on pipelines in shared environments. | |
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Change Tracking Shows history of who made what changes and when. |
Audit and change tracking for workflows is available. | |
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In-product Documentation Embedded how-to guides and inline documentation. |
Documentation and inline help are available within the UI. | |
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Commenting and Conversation Allows users to discuss and document within ETL pipelines. |
No information available | |
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Custom Shortcuts/Macros Allows user-configurable shortcuts for frequent tasks. |
No information available | |
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Accessibility Compliance Features for vision-impaired or otherwise disabled users. |
No information available | |
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Multilingual Support User interface available in multiple languages. |
No information available | |
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Exportable Workflows Ability to export/import ETL pipelines between environments. |
No information available | |
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Self-service Features Enables business users to manage or run ETL jobs. |
No information available | |
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Mobile Access Mobile-friendly dashboard or workflow monitoring. |
No information available | |
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Data Catalog Integration Links metadata to enterprise data catalogues for discovery. |
No information available |
Deployment and Architecture
(10 Yes /10 Known /13 Possible features)
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Cloud-native Deployment Available as a SaaS or native cloud service. |
Offered in SaaS/managed cloud models (deploys to Azure, AWS, GCP). | |
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Containerization Support Supports deployment via Docker, Kubernetes, or similar. |
Container-based deployment supported (Docker, Kubernetes). | |
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On-Premise Deployment Installable within in-house data centers. |
Traditional on-prem install possible, meant for hybrid IT environments. | |
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Hybrid Deployment Supports simultaneous cloud and on-premise operations. |
Can deploy across on-prem and cloud in parallel (hybrid). | |
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Multi-cloud Capability Can run workloads across multiple cloud providers. |
Multi-cloud supported; examples for AWS, Azure, GCP clusters. | |
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High Availability Architecture Supports HA for zero-downtime operation. |
High-availability reference architectures available for cloud deployments. | |
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Disaster Recovery Features Built-in DR for rapid data and service restoration. |
Built-in disaster recovery options, including backup/restore. | |
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Automated Upgrades Automated version upgrades with rollback support. |
No information available | |
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Resource Isolation Workspaces, environments, or nodes isolated for security. |
Supports logical and physical isolation of environments. | |
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API-first Architecture Exposes functionality programmatically via APIs. |
APIs are first-class citizens; all platform operations scriptable. | |
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Configuration as Code Infrastructure and pipeline as code for repeatable deployments. |
Pipeline definitions and config exportable as code/yaml/json. | |
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Automated Patching Applies security and bug fixes automatically. |
No information available | |
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Scalable Storage Options Integrates easily with dynamic storage tiers/cloud buckets. |
No information available |
Monitoring, Logging, and Reporting
(1 Yes /1 Known /13 Possible features)
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Centralized Monitoring Dashboard Single-pane-of-glass for job statuses, throughput, and errors. |
Central dashboard provides monitoring of jobs and resources. | |
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Customizable Alerts Set specific conditions for alerts (thresholds, failures, SLAs). |
No information available | |
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Historical Log Retention Ability to store and search run-time logs for compliance time periods. |
No information available | |
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Usage Analytics Displays metrics for job runs, resource consumption, pipeline utilization. |
No information available | |
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Real-time Status Updates Immediate visibility into running, failed, or completed jobs. |
No information available | |
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Drill-down Job Tracing Detailed tracing of pipeline execution, performance, and bottlenecks. |
No information available | |
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Integration with SIEM Tools Feeds logs/events to enterprise security info and event management products. |
No information available | |
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Custom Metric Tracking Define and monitor key pension fund metrics in ETL processes. |
No information available | |
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Job Run History Depth Maximum number of historical runs retained for analysis. |
No information available | |
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Error Categorization Errors/warnings classified for rapid triage and response. |
No information available | |
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Exportable Reports Reports downloadable in multiple formats (CSV, PDF, etc.). |
No information available | |
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Custom Dashboards Users can design dashboards with metrics relevant to pension processes. |
No information available | |
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Uptime Monitoring Track and report system/service uptime. |
No information available |
Integration and Extensibility
(6 Yes /6 Known /13 Possible features)
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Open API Access Full-featured API for integration with external systems. |
Open API access is a core platform capability, as per developer portal. | |
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Webhooks Can send instant notifications/events to other systems. |
Supports outbound webhooks for real-time notifications. | |
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Third-party Plugin Support Extensible with plugins/add-ons (including actuarial & compliance modules). |
Third-party plugin support (extensions/SDKs) documented. | |
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Command Line Interface (CLI) Offers CLI for scripting and automation beyond the GUI. |
CLI utilities provided for automation and scripting. | |
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Integration with BI Tools BI tools (e.g., Tableau, Power BI) direct access to clean data. |
Direct integration with Tableau, Power BI, etc. documented. | |
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Custom SDK/Extensions Developers can extend product via SDKs or APIs. |
SDK and extensibility support for developers available. | |
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ETL as a Service (ETLaaS) Support Integrates with SaaS offerings for managed ETL delivery. |
No information available | |
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Metadata Synchronization Sync metadata with data catalogues or data governance tools. |
No information available | |
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Workflow Triggering via API External system can trigger ETL workflows automatically. |
No information available | |
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Support for Standard Formats Can ingest/export standard actuarial, regulatory, and accounting formats (XBRL, etc.). |
No information available | |
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REST and SOAP API Support Supports industry-standard integration protocols. |
No information available | |
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Programmatic Metadata Access Allows third-party applications direct access to metadata stores. |
No information available | |
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Automated Data Lineage Export Exports lineage data to third-party governance or audit tools. |
No information available |
Cost Management and Licensing
(0 Yes /0 Known /13 Possible features)
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Transparent Pricing Model Clear, published pricing based on usage, users, or features. |
No information available | |
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Flexible Licensing Options Supports subscription, perpetual, or usage-based licenses. |
No information available | |
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Metered Usage Reporting Real-time reporting of usage or consumption for cost control. |
No information available | |
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Multi-tenant Cost Allocation Automatically allocates cost between business units/funds. |
No information available | |
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License Management Console Self-service license management for admins. |
No information available | |
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Automated Overages Alerting Notification for excess usage/approaching contract limits. |
No information available | |
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Cost Projection Tool Built-in calculator to estimate future spend. |
No information available | |
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Resource Quotas Allows admins to impose usage or cost limits. |
No information available | |
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Pay-as-you-go Billing Supports billing proportional to actual use. |
No information available | |
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Cost per Workflow Average cost incurred for a typical pension ETL workflow. |
No information available | |
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Annual Maintenance Fee Ongoing maintenance/support fee for on-prem or perpetual licenses. |
No information available | |
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Concurrent License Cap Maximum number of users/processes allowed under license. |
No information available | |
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Usage Analytics for Cost Shows drivers of cost for optimization and budgeting. |
No information available |
Support and Vendor Ecosystem
(0 Yes /0 Known /13 Possible features)
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24/7 Support Availability Vendor provides around-the-clock phone/email support. |
No information available | |
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Dedicated Account Manager Assigned contact for escalation and ongoing relationship. |
No information available | |
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Comprehensive Documentation Extensive online or in-product user/config documentation. |
No information available | |
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Community Forums Public forums where users share solutions and best practices. |
No information available | |
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Certified Integration Partners Network of third-party integrators with pension domain expertise. |
No information available | |
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Regular Feature Updates Frequent updates to add/fix features, incorporate industry changes. |
No information available | |
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Training and Onboarding Structured training programs for technical/business users. |
No information available | |
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Service Level Agreements (SLAs) Published guarantees for uptime, response, and issue resolution. |
No information available | |
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Managed Services Option Option for vendor to operate and manage ETL processes completely. |
No information available | |
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Migration Assistance Vendor-led assistance to move workloads from legacy tools. |
No information available | |
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Online Knowledge Base Extensive searchable resources for common questions. |
No information available | |
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User Conferences/User Groups Events for sharing experiences and learning sector best practices. |
No information available | |
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Customization Services Vendor or partner can build custom features for the organization. |
No information available |
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