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Qlik Data Integration Platform from Qlik
Real-time data integration platform with change data capture, financial data warehouse automation, and data cataloging capabilities that help pension funds build automated data pipelines, replicate data across heterogeneous environments, reduce reporting lag, and support agile analytics workflows with governance guardrails.
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.
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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.). |
Qlik Data Integration supports a wide range of data sources, including databases, files, APIs, and SaaS platforms—confirmed by product documentation. | |
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Pre-built Connectors Availability of out-of-the-box connectors for common pension fund systems (admin, investments, finance, etc.). |
Qlik offers pre-built connectors for many enterprise/financial and cloud-based systems. | |
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Custom Connector Development Ability to quickly build connectors for proprietary or less common systems. |
Qlik's documentation confirms ability to build custom connectors as part of its extensibility model. | |
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Real-time Data Sync Capability to integrate with sources in real time or near real time. |
Platform enables real-time data synchronization via change data capture (CDC). | |
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Batch Data Loading Support for scheduled or trigger-based batch data ingestion. |
Batch data ingestion is supported for warehouse automation and data movement. | |
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On-premises and Cloud Compatibility Ability to connect to both cloud-based and local systems securely. |
Supports secure connections to both on-premises and cloud sources as described in feature matrix. | |
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Data Lake Integration Native integration with data lakes for large-scale storage and analytics. |
Native data lake integration included (e.g., supports ADLS, S3, Google Cloud). | |
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Streaming Data Support Capability for ingesting and processing streaming data (e.g., market feeds). |
Ingestion and transformation of streaming data supported (for example, integration with Kafka and other systems). | |
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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. |
Secure data connectivity through firewalls provided by built-in agents/Gateways. | |
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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). |
Qlik supports multiple segregated environments—dev, test, prod—via project structures and role separation. | |
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Built-in Schedulers Integrated job schedulers for managing ETL tasks. |
Built-in job schedulers for ETL/ELT automation are available. |
Transformation and Data Wrangling
(12 Yes /12 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. |
Drag-and-drop pipeline development is promoted as a key feature ('no-code/low-code'). | |
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Advanced Scripting Support Enables complex logic in common script languages (Python, SQL, Java, etc.). |
Advanced scripting and custom code supported, including SQL, Python, and others. | |
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Bulk Data Transformation Processes large volumes of data efficiently. |
Bulk data transformation and processing at large scale is highlighted for warehouse loading scenarios. | |
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Data Profiling Automatic data type detection, outlier analysis, and data statistics. |
Automated data profiling is supported (data stats, outlier detection in Qlik Data Catalyst/Data Catalog). | |
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Data Cleansing Functions Built-in functions for deduplication, null value imputation, and standardization. |
Data cleansing functions (deduplication, missing value handling) available as built-in transforms. | |
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Schema Mapping Automatic or assisted mapping between source and target data models. |
Automatic/AI-assisted schema mapping is demonstrated in demos and product docs. | |
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Data Enrichment Augmenting internal data with 3rd party or external sources (e.g. actuarial tables). |
Data enrichment through linkages with external datasets/API feeds highlighted in platform use cases. | |
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Semantic Layer Support Apply business logic and definitions at a semantic level for consistency. |
Semantic/business layer support and rules application described in Data Catalog and pipeline definitions. | |
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Reusable Transformation Components Ability to save and reuse transformation logic/templates across processes. |
Reusable transformation templates/component storage available to accelerate workflow development. | |
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Version Control for Pipelines Tracks changes and versions for transformation logic. |
Pipeline versions, rollback, and change tracking are supported as part of Qlik Data Integration's governance. | |
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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. |
Dynamic parameterization for workflow execution is supported in advanced transformation setups. | |
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Error Handling and Logging Rich error tracking, logging, and remediation features. |
Error handling, detailed logging, and troubleshooting built into orchestration layer. |
Data Quality and Validation
(8 Yes /8 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). |
Built-in data quality rules/checks are described in Qlik Data Catalyst features. | |
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Custom Validation Rules Ability to configure or code custom data validation checks. |
Custom validation rules creation is supported for complex data validations. | |
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Data Lineage Tracking Tracks origin, movements, and changes to specific data fields. |
Data lineage tracking is explicitly included in Data Catalog functionality. | |
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Anomaly Detection Automatically flags outliers or unusual data patterns. |
No information available | |
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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. |
Audit trails for all data changes and processing steps are available. | |
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Data Quality Dashboards Visual dashboards for data quality metrics over time. |
Data quality dashboarding (visual metrics) included in Qlik's catalog/quality features. | |
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Duplicate Record Detection Auto-identifies duplicate entries (e.g., members with multiple accounts). |
Duplicate record detection is an available data quality operation in Qlik Data Catalyst. | |
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Data Quality Reporting Generates on-demand data quality reports, including exception reports. |
Reports and dashboards for data quality reporting are available. | |
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Threshold Alerts Configurable alerts for when data quality falls below set thresholds. |
Can set threshold-based data quality alerts in monitoring and reporting. | |
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Data Retention Policy Enforcement Support for enforcing data retention and deletion schedules. |
No information available | |
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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 is supported (TLS, secure connectors). | |
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Data Encryption At-Rest Encrypts all data at storage level within ETL systems. |
Encryption at rest is supported in Qlik Data Integration's managed storage. | |
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Role-Based Access Control (RBAC) Manage feature/data access based on user roles and permissions. |
Role-based access control (RBAC) is a primary security feature. | |
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Single Sign-On (SSO) Integration Integrates with enterprise SSO for user authentication. |
Single Sign-On integration supported (SAML, LDAP, etc.). | |
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Audit Logging Keeps secure, immutable logs of all activities for compliance. |
Audit logging with secure, immutable records is a compliance feature. | |
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GDPR and Data Privacy Support Features to enforce privacy by design, encryption, and auditability. |
Qlik emphasizes GDPR/data privacy readiness and provides relevant controls. | |
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PII Masking and Redaction Automated data masking of personally identifiable information. |
No information available | |
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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. |
Offers automated monitoring and alerting for security-related events. | |
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Compliance Certifications Evidence of passing ISO 27001, SOC 2, or other relevant audits. |
Possesses industry certifications such as ISO 27001 and SOC 2—listed on Qlik's trust page. | |
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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
(8 Yes /8 Known /13 Possible features)
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Horizontal Scalability Supports scale-out architecture to handle increasing data or user loads. |
Supports scale-out horizontal clustering on-prem and in cloud. | |
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Vertical Scalability Can utilize additional hardware resources on single nodes efficiently. |
Qlik Data Integration efficiently uses hardware/resources per node (vertical scaling). | |
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High Throughput Capable of processing large volumes within tight SLAs. |
High throughput processing is a central feature for analytics and replication workloads. | |
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Concurrent Job Execution Runs multiple ETL jobs in parallel without resource contention. |
Concurrent job execution supported as part of orchestration/fabric. | |
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Auto-scaling Automatically increases or decreases resources based on load. |
Auto-scaling available in cloud deployments. | |
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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. |
Comprehensive workload monitoring for CPU, memory, and storage. | |
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Failover & Redundancy Has features for automatic recovery/failover in the event of hardware or network failures. |
Failover and redundancy supported by Qlik's recommended HA architectures. | |
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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. |
Distributed ETL processing architecture is a product feature for high volume clients. | |
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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
(9 Yes /9 Known /13 Possible features)
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Workflow Designer Graphical or code-based interface to build and visualize data pipelines. |
Graphical workflow designer available in Qlik Compose and data integration cloud. | |
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Scheduling and Automation Schedule jobs by time, event, or dependency. |
ETL and transformation jobs can be scheduled and automated based on time or dependency. | |
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Event-Driven Processing Triggers ETL pipelines based on data arrival or system events. |
Event-driven execution supported, particularly in streaming/CDC integration. | |
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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. |
Job dependency and orchestration handled in workflow designer. | |
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Retry and Recovery Policies Automated retry and recovery for failed tasks. |
Automated retry/recovery is standard for Qlik managed workflows. | |
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Alerts and Notifications Sends automated notifications on job success, failures, or SLAs breaches. |
Alerts and notifications can be configured for failures, SLAs, and events. | |
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Parameterization of Jobs Run pipelines with parameters for reusability. |
Parameterization for job runs is available in workflow management UI. | |
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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. |
End-to-end logging of orchestration events available in platform logging module. | |
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API for Job Control API to launch, monitor, or change workflows programmatically. |
Workflow/job control can be managed directly via REST APIs or SDK. |
User Experience and Collaboration
(8 Yes /8 Known /13 Possible features)
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Intuitive User Interface Modern, usable UI for both technical and non-technical users. |
Modern and intuitive user interface aimed at both technical and business analysts. | |
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Role-specific Dashboards Custom dashboards for admins, analysts, or data stewards. |
Role-specific dashboards/views are available in Data Catalog and workflow modules. | |
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Multi-user Collaboration Allows simultaneous access and editing by teams. |
Multi-user collaboration enabled via role permissions and concurrent editing. | |
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Change Tracking Shows history of who made what changes and when. |
Change history/audit features available in platform for governance. | |
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In-product Documentation Embedded how-to guides and inline documentation. |
In-product documentation is available within the Qlik Data Integration 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. |
Workflows and pipeline definitions can be exported/imported between environments. | |
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Self-service Features Enables business users to manage or run ETL jobs. |
Self-service access for data preparation and pipeline execution is emphasized in target market. | |
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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. |
Integrates with data catalogs and metadata management tools, including Qlik's native catalog. |
Deployment and Architecture
(12 Yes /12 Known /13 Possible features)
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Cloud-native Deployment Available as a SaaS or native cloud service. |
Cloud-native deployment is a core offering with robust SaaS capabilities. | |
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Containerization Support Supports deployment via Docker, Kubernetes, or similar. |
Supports deployment via containers (Docker/Kubernetes). | |
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On-Premise Deployment Installable within in-house data centers. |
On-premise deployment for local datacenter environments, included in flagship platform guide. | |
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Hybrid Deployment Supports simultaneous cloud and on-premise operations. |
Hybrid (cloud + on-prem) deployment supported. | |
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Multi-cloud Capability Can run workloads across multiple cloud providers. |
Multi-cloud operation possible (AWS, Azure, GCP, etc.). | |
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High Availability Architecture Supports HA for zero-downtime operation. |
High availability supported through HA cluster architectures. | |
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Disaster Recovery Features Built-in DR for rapid data and service restoration. |
Disaster recovery (DR) architectures documented for business continuity. | |
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Automated Upgrades Automated version upgrades with rollback support. |
Automated upgrades (SaaS), with rollback strategies described for DR/HA installs. | |
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Resource Isolation Workspaces, environments, or nodes isolated for security. |
Resource isolation (workspaces/environments) documented for multi-team scenarios. | |
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API-first Architecture Exposes functionality programmatically via APIs. |
API-first design with rich REST API for all platform functions. | |
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Configuration as Code Infrastructure and pipeline as code for repeatable deployments. |
Support for configuration/pipeline as code practices included. | |
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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. |
Integrates with multiple storage options/tiering for scale and cost optimization. |
Monitoring, Logging, and Reporting
(11 Yes /11 Known /13 Possible features)
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Centralized Monitoring Dashboard Single-pane-of-glass for job statuses, throughput, and errors. |
Centralized monitoring dashboard for jobs, errors, and throughput available. | |
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Customizable Alerts Set specific conditions for alerts (thresholds, failures, SLAs). |
Customizable alerts for specific conditions supported in monitoring module. | |
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Historical Log Retention Ability to store and search run-time logs for compliance time periods. |
Historical log retention capabilities enable compliance and audit support. | |
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Usage Analytics Displays metrics for job runs, resource consumption, pipeline utilization. |
Usage metrics and analytics are available for job/resource monitoring. | |
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Real-time Status Updates Immediate visibility into running, failed, or completed jobs. |
Real-time job status updates provided in job monitors and APIs. | |
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Drill-down Job Tracing Detailed tracing of pipeline execution, performance, and bottlenecks. |
Detailed job and pipeline tracing available as part of diagnostics. | |
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Integration with SIEM Tools Feeds logs/events to enterprise security info and event management products. |
Log/event output to SIEM tools (Splunk, etc.) enabled by integration settings. | |
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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. |
Errors/warnings are categorized for triage in logs and dashboards. | |
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Exportable Reports Reports downloadable in multiple formats (CSV, PDF, etc.). |
Reports are exportable in CSV, PDF, and other standard formats. | |
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Custom Dashboards Users can design dashboards with metrics relevant to pension processes. |
Custom dashboards can be built for all major workflow/data monitoring needs. | |
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Uptime Monitoring Track and report system/service uptime. |
System uptime monitoring/reporting is available for managed and on-prem deployments. |
Integration and Extensibility
(13 Yes /13 Known /13 Possible features)
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Open API Access Full-featured API for integration with external systems. |
Open API access for full product control and integration. | |
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Webhooks Can send instant notifications/events to other systems. |
Webhooks/event notifications can trigger external system events based on job status. | |
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Third-party Plugin Support Extensible with plugins/add-ons (including actuarial & compliance modules). |
Plugin/add-on architecture (including compliance modules) supported in platform guides. | |
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Command Line Interface (CLI) Offers CLI for scripting and automation beyond the GUI. |
Command line interface (CLI) for advanced scripting and automation is available. | |
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Integration with BI Tools BI tools (e.g., Tableau, Power BI) direct access to clean data. |
Direct integration with Power BI, Tableau, and other BI tools for analytics. | |
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Custom SDK/Extensions Developers can extend product via SDKs or APIs. |
Supports building custom extensions via APIs and SDKs. | |
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ETL as a Service (ETLaaS) Support Integrates with SaaS offerings for managed ETL delivery. |
Qlik Data Integration is offered as a managed SaaS (ETLaaS) service as well. | |
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Metadata Synchronization Sync metadata with data catalogues or data governance tools. |
Metadata synchronization and exchange with 3rd party and native catalogs. | |
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Workflow Triggering via API External system can trigger ETL workflows automatically. |
API can be used to trigger workflows from external systems. | |
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Support for Standard Formats Can ingest/export standard actuarial, regulatory, and accounting formats (XBRL, etc.). |
Supports a broad range of standard regulatory/actuarial file formats (XLS, XBRL, CSV, etc.). | |
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REST and SOAP API Support Supports industry-standard integration protocols. |
Supports REST and SOAP API standards. | |
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Programmatic Metadata Access Allows third-party applications direct access to metadata stores. |
Metadata is accessible programmatically via API, supporting third-party integration. | |
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Automated Data Lineage Export Exports lineage data to third-party governance or audit tools. |
Automated export of data lineage to third-party tools is available. |
Cost Management and Licensing
(1 Yes /1 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. |
Various flexible licensing options available per Qlik's sales material. | |
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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
(12 Yes /12 Known /13 Possible features)
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24/7 Support Availability Vendor provides around-the-clock phone/email support. |
24/7 support available for enterprise/mission-critical deployments. | |
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Dedicated Account Manager Assigned contact for escalation and ongoing relationship. |
Dedicated account management offered to enterprise clients. | |
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Comprehensive Documentation Extensive online or in-product user/config documentation. |
Comprehensive online and in-product documentation available. | |
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Community Forums Public forums where users share solutions and best practices. |
Community forums, knowledge bases, and resource centers 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. |
Frequent product and feature updates promoted in release communications. | |
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Training and Onboarding Structured training programs for technical/business users. |
Structured training and onboarding assistance provided to customers. | |
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Service Level Agreements (SLAs) Published guarantees for uptime, response, and issue resolution. |
Service level agreements (SLAs) for uptime and support are available for enterprise agreements. | |
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Managed Services Option Option for vendor to operate and manage ETL processes completely. |
Qlik offers a managed services option for organizations that want to fully outsource platform operation. | |
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Migration Assistance Vendor-led assistance to move workloads from legacy tools. |
Migration services from existing/legacy data integration systems offered as a professional service. | |
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Online Knowledge Base Extensive searchable resources for common questions. |
Extensive searchable online knowledge base available. | |
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User Conferences/User Groups Events for sharing experiences and learning sector best practices. |
Qlik hosts and sponsors user conferences and user groups globally. | |
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Customization Services Vendor or partner can build custom features for the organization. |
Customization services available directly from Qlik or via certified partners. |
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