Cloud-native ETL/ELT platform with visual interface, financial data transformation templates, and orchestration capabilities that help pension funds integrate investment data into cloud data warehouses, automate data pipelines, implement data quality checks, and support complex transformations for actuarial calculations and risk analysis.
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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Wide Source Support Support for a wide range of data sources (databases, files, APIs, SaaS, etc.). |
Matillion ETL supports a wide range of data sources including databases, cloud storage, files, and APIs, as documented in product resources. | |
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Pre-built Connectors Availability of out-of-the-box connectors for common pension fund systems (admin, investments, finance, etc.). |
Matillion provides numerous pre-built connectors for common enterprise and financial systems as detailed on its connectors page. | |
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Custom Connector Development Ability to quickly build connectors for proprietary or less common systems. |
Matillion allows users to build custom connectors and has documentation for extensibility. | |
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Real-time Data Sync Capability to integrate with sources in real time or near real time. |
Official documentation and marketing specify real-time and near-real-time sync support using event triggers and CDC patterns. | |
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Batch Data Loading Support for scheduled or trigger-based batch data ingestion. |
Batch data loading is supported via schedules and triggers from within the orchestration interface. | |
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On-premises and Cloud Compatibility Ability to connect to both cloud-based and local systems securely. |
Connectors for on-premises (via secure agent) and multiple cloud platforms are available, supporting hybrid environments. | |
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Data Lake Integration Native integration with data lakes for large-scale storage and analytics. |
Matillion supports native integration with cloud data lakes like Amazon S3 and Azure Data Lake. | |
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Streaming Data Support Capability for ingesting and processing streaming data (e.g., market feeds). |
Not as far as we are aware.* As of 2024, Matillion does not natively support streaming data ingestion (e.g., from Kafka), but can work with batch ingestion of streaming outputs. | |
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Data Virtualization Ability to access and analyze data without physically moving it. |
Not as far as we are aware.* Data virtualization (querying remote data in-place without move) is not a core feature; Matillion loads for processing. | |
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Connectivity Through Firewalls Handles secure access to data sources behind firewalls or within restricted networks. |
Matillion supports secure connectivity through firewalls via secure agent and encrypted tunnels. | |
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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 segregated environments (dev, test, prod) and supports environment-specific parameters. | |
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Built-in Schedulers Integrated job schedulers for managing ETL tasks. |
Built-in schedulers are available for orchestrating ETL jobs without external cron dependency. |
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No-code/Low-code Transformation UI Provides graphical or drag-and-drop tools for creating transformation pipelines. |
Drag-and-drop low-code UI for pipeline construction is a core advertised feature. | |
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Advanced Scripting Support Enables complex logic in common script languages (Python, SQL, Java, etc.). |
Advanced scripting (Python, SQL, etc.) is supported with scripting components and script activities. | |
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Bulk Data Transformation Processes large volumes of data efficiently. |
Bulk transformations and parallel processing are documented capabilities, suitable for large-scale financial datasets. | |
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Data Profiling Automatic data type detection, outlier analysis, and data statistics. |
Data profiling features like automatic column profiling and statistics view are included. | |
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Data Cleansing Functions Built-in functions for deduplication, null value imputation, and standardization. |
Functions for deduplication, null handling, and data formatting are provided as transformation steps. | |
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Schema Mapping Automatic or assisted mapping between source and target data models. |
Schema mapping between sources and targets is visual and/or automatic using tools in the UI. | |
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Data Enrichment Augmenting internal data with 3rd party or external sources (e.g. actuarial tables). |
Data enrichment via integration with external APIs and data sources (including third-party actuarial sources) is supported. | |
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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 transformation components can be saved and reused across pipelines. | |
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Version Control for Pipelines Tracks changes and versions for transformation logic. |
Version control/history of pipelines is built-in (see release notes and docs). | |
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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. |
Matillion supports variables and parameterization for dynamic pipeline execution. | |
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Error Handling and Logging Rich error tracking, logging, and remediation features. |
Error handling widgets and activity logs present in UI and job/task configuration. |
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Built-in Data Quality Rules Library of common data quality checks (valid ranges, mandatory fields, format checks). |
Library of built-in data quality checks such as type validity, NULL checks, and format enforcement. | |
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Custom Validation Rules Ability to configure or code custom data validation checks. |
Custom validation steps and scripting blocks for enforcing flex validation logic per documentation. | |
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Data Lineage Tracking Tracks origin, movements, and changes to specific data fields. |
Data lineage tracking visualized in the UI for understanding transformation flow. | |
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Anomaly Detection Automatically flags outliers or unusual data patterns. |
Anomaly detection and data quality flagging supported via rules engine and custom scripts. | |
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Data Reconciliation Features Tools for reconciling member, transaction, and holding data between systems. |
Supports reconciliation features for matching member and transactional data between systems. | |
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Automated Data Correction Allows automatic remediation or correction of known data issues. |
Provides options for automated correction via scripting or transformation steps. | |
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Audit Trail Comprehensive logs show every data change and processing step. |
Audit trails available for all pipeline and data transformation activities. | |
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Data Quality Dashboards Visual dashboards for data quality metrics over time. |
Dashboards for monitoring data quality completeness, accuracy, and trends available in the admin console. | |
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Duplicate Record Detection Auto-identifies duplicate entries (e.g., members with multiple accounts). |
Duplicate detection functions exist for deduplication and record matching. | |
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Data Quality Reporting Generates on-demand data quality reports, including exception reports. |
On-demand and scheduled data quality reports can be generated within the platform. | |
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Threshold Alerts Configurable alerts for when data quality falls below set thresholds. |
Customizable threshold alerts for data quality available. | |
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Data Retention Policy Enforcement Support for enforcing data retention and deletion schedules. |
Matillion enforces retention and deletion policies, configurable in pipeline settings. | |
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Data Validity Rate Percentage of data passing all quality and validation checks. |
No information available |
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Data Encryption In-Transit Encrypts all data while it moves between sources, transformation, and targets. |
Data in transit is encrypted, confirmed by platform security architecture whitepapers. | |
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Data Encryption At-Rest Encrypts all data at storage level within ETL systems. |
Supports encryption at rest for stored datasets and job logs. | |
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Role-Based Access Control (RBAC) Manage feature/data access based on user roles and permissions. |
Role-based access control and permissioning supported via workspace admin tools. | |
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Single Sign-On (SSO) Integration Integrates with enterprise SSO for user authentication. |
SSO integration available for Azure, Okta, and other enterprise identity providers. | |
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Audit Logging Keeps secure, immutable logs of all activities for compliance. |
Audit logging is maintained for all critical changes and accesses. | |
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GDPR and Data Privacy Support Features to enforce privacy by design, encryption, and auditability. |
Published guidance and options for enforcing GDPR and supporting data privacy requests. | |
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PII Masking and Redaction Automated data masking of personally identifiable information. |
PII masking and redaction can be configured at load/transformation stages. | |
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Data Residency Controls Controls to ensure data is stored and processed only in permitted geographies. |
Supports data residency controls for keeping data in specific geographic regions at the platform and cloud level. | |
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Activity Monitoring & Alerting Automated alerts on suspicious access or data movement. |
Automated monitoring and alerting available for user and data access. | |
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Compliance Certifications Evidence of passing ISO 27001, SOC 2, or other relevant audits. |
SOC2, ISO 27001, and other compliance certifications published on website. | |
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Custom Access Policies Support for defining organization-specific security rules. |
Supports defining custom access policies via RBAC and API. | |
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Data Anonymization Automated tools to anonymize data sets for testing or analytics. |
Automated data anonymization pipelines described in product documentation. | |
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Regulatory Reporting Automation Automates key regulatory (e.g., pension fund) reporting requirements. |
Regulatory reporting (e.g., Solvency II, pension standards) can be automated via ETL workflows. |
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Horizontal Scalability Supports scale-out architecture to handle increasing data or user loads. |
Auto-scaling and multi-cluster support enable horizontal scalability. | |
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Vertical Scalability Can utilize additional hardware resources on single nodes efficiently. |
Platform can scale up vertically based on available compute or node specs. | |
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High Throughput Capable of processing large volumes within tight SLAs. |
Supports high-throughput batch and parallel execution (see benchmarks). | |
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Concurrent Job Execution Runs multiple ETL jobs in parallel without resource contention. |
Concurrent job execution supported within and across environments. | |
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Auto-scaling Automatically increases or decreases resources based on load. |
Auto-scaling and elastic resource allocation available on supported clouds. | |
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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. |
Resource utilization for jobs and compute tracked in admin UI. | |
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Failover & Redundancy Has features for automatic recovery/failover in the event of hardware or network failures. |
Failover and redundancy features offered for near-zero downtime. | |
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Job Prioritization Allows task prioritization for critical ETL workloads. |
Job prioritization settings available within orchestration configuration. | |
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Distributed Processing Can distribute processing to multiple nodes for faster ETL. |
Supports distributed processing for parallel ETL operations. | |
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Load Balancing Automatically balances load between ETL nodes. |
Load-balancing employed by the job execution engine in cloud environments. | |
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Processing Speed Average number of records processed per second. |
No information available |
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Workflow Designer Graphical or code-based interface to build and visualize data pipelines. |
Graphical workflow designer is central to Matillion's user experience. | |
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Scheduling and Automation Schedule jobs by time, event, or dependency. |
Scheduling and automation interfaces built-in for cron, event, and dependency-based jobs. | |
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Event-Driven Processing Triggers ETL pipelines based on data arrival or system events. |
Event-driven pipeline execution supported via triggers/ webhooks/ API. | |
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Conditional Logic Supports IF/ELSE or other logic for handling complex pension data flows. |
Conditional logic constructs available in orchestration. | |
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Job Dependency Management Automatically manages upstream and downstream dependencies. |
Job dependency management built into job orchestration interface. | |
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Retry and Recovery Policies Automated retry and recovery for failed tasks. |
Automated retry and recovery configurable per job/task. | |
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Alerts and Notifications Sends automated notifications on job success, failures, or SLAs breaches. |
Alerts and notifications are native features (email, webhook, Slack, etc). | |
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Parameterization of Jobs Run pipelines with parameters for reusability. |
Supports parameterizable jobs for reusability. | |
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Human-in-the-Loop Approval Steps Supports manual approval or intervention within automated flows. |
Supports human-in-the-loop approvals through pause/resume nodes and manual intervention steps. | |
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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. |
Logs all workflow activities, both at orchestration and transformation levels. | |
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API for Job Control API to launch, monitor, or change workflows programmatically. |
Comprehensive REST API for job control, orchestration, and monitoring. |
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Intuitive User Interface Modern, usable UI for both technical and non-technical users. |
Modern, intuitive web UI for technical and business users. | |
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Role-specific Dashboards Custom dashboards for admins, analysts, or data stewards. |
Role-based dashboards for different user groups available. | |
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Multi-user Collaboration Allows simultaneous access and editing by teams. |
Multi-user collaboration is supported via workspace sharing and roles. | |
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Change Tracking Shows history of who made what changes and when. |
Tracks and audits all user changes on pipelines and environments. | |
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In-product Documentation Embedded how-to guides and inline documentation. |
In-product documentation and help guides are integrated in the interface. | |
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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. |
Supports multiple languages in UI (EN, FR, DE, etc.), coverage noted in documentation. | |
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Exportable Workflows Ability to export/import ETL pipelines between environments. |
Workflows/pipelines export/import is supported for migration between environments. | |
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Self-service Features Enables business users to manage or run ETL jobs. |
Business users can self-service create and run ETL jobs. | |
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Mobile Access Mobile-friendly dashboard or workflow monitoring. |
Mobile-friendly version available (responsive dashboard, monitoring supported). | |
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Data Catalog Integration Links metadata to enterprise data catalogues for discovery. |
Metadata sync to enterprise catalog (e.g., Collibra, Alation) provided via API/partners. |
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Cloud-native Deployment Available as a SaaS or native cloud service. |
Cloud-native as a core differentiator; runs in customer or Matillion-managed cloud. | |
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Containerization Support Supports deployment via Docker, Kubernetes, or similar. |
Supports Docker and Kubernetes for containerized deployments. | |
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On-Premise Deployment Installable within in-house data centers. |
On-prem installations available for selected enterprise accounts. | |
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Hybrid Deployment Supports simultaneous cloud and on-premise operations. |
Hybrid deployments supported, per technical architecture documentation. | |
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Multi-cloud Capability Can run workloads across multiple cloud providers. |
Multi-cloud processing available for AWS, Azure, GCP. | |
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High Availability Architecture Supports HA for zero-downtime operation. |
Fault tolerance and HA described in deployment and reliability documentation. | |
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Disaster Recovery Features Built-in DR for rapid data and service restoration. |
Disaster recovery available: documentation covers rapid restore and backup procedures. | |
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Automated Upgrades Automated version upgrades with rollback support. |
SaaS offering supports automated upgrades and controlled rollbacks. | |
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Resource Isolation Workspaces, environments, or nodes isolated for security. |
Resource and workspace isolation enforced for team and tenant separation. | |
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API-first Architecture Exposes functionality programmatically via APIs. |
API-first design enables programmatic interaction with all functions. | |
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Configuration as Code Infrastructure and pipeline as code for repeatable deployments. |
Supports configuration as code workflows for DevOps integration. | |
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Automated Patching Applies security and bug fixes automatically. |
Automated patching of SaaS environments certified in security model. | |
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Scalable Storage Options Integrates easily with dynamic storage tiers/cloud buckets. |
Scalable storage is enabled through native cloud object storage integration. |
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Centralized Monitoring Dashboard Single-pane-of-glass for job statuses, throughput, and errors. |
Central dashboard shows ETL job status and metrics. | |
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Customizable Alerts Set specific conditions for alerts (thresholds, failures, SLAs). |
Custom alerting (on SLA, failure, etc.) is supported in pipeline editor. | |
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Historical Log Retention Ability to store and search run-time logs for compliance time periods. |
Retention settings and search for historical run-time logs available for audit/compliance. | |
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Usage Analytics Displays metrics for job runs, resource consumption, pipeline utilization. |
Dashboards and analytics for usage are prebuilt. | |
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Real-time Status Updates Immediate visibility into running, failed, or completed jobs. |
Job progress and status updates stream in real time to the UI. | |
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Drill-down Job Tracing Detailed tracing of pipeline execution, performance, and bottlenecks. |
Detailed job and run diagnostics available for drill-down analysis. | |
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Integration with SIEM Tools Feeds logs/events to enterprise security info and event management products. |
Integration with SIEM tools (Splunk etc.) is supported via webhooks/logging API. | |
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Custom Metric Tracking Define and monitor key pension fund metrics in ETL processes. |
Custom metric tracking can be implemented in pipeline logic or via integrations. | |
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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 and warnings are classified by type and severity for troubleshooting. | |
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Exportable Reports Reports downloadable in multiple formats (CSV, PDF, etc.). |
Report export available in common formats from dashboard and reporting UI. | |
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Custom Dashboards Users can design dashboards with metrics relevant to pension processes. |
Custom dashboards can be built for visualization of key metrics. | |
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Uptime Monitoring Track and report system/service uptime. |
Uptime and SLA reporting dashboard part of platform. |
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Open API Access Full-featured API for integration with external systems. |
Comprehensive REST API for open integration. | |
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Webhooks Can send instant notifications/events to other systems. |
Webhook integration supported for workflow events and notifications. | |
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Third-party Plugin Support Extensible with plugins/add-ons (including actuarial & compliance modules). |
Marketplace and community plugins available; custom extensions possible. | |
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Command Line Interface (CLI) Offers CLI for scripting and automation beyond the GUI. |
CLI tool provided for scripting and pipeline automation. | |
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Integration with BI Tools BI tools (e.g., Tableau, Power BI) direct access to clean data. |
Direct connectors for Tableau/Power BI and native support for leading BI tools. | |
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Custom SDK/Extensions Developers can extend product via SDKs or APIs. |
SDKs and APIs allow developer-level extensions. | |
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ETL as a Service (ETLaaS) Support Integrates with SaaS offerings for managed ETL delivery. |
Matillion ETL available in ETLaaS managed deployment for SaaS operation. | |
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Metadata Synchronization Sync metadata with data catalogues or data governance tools. |
Metadata synchronization with data catalogues and governance tools provided. | |
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Workflow Triggering via API External system can trigger ETL workflows automatically. |
External systems can trigger jobs via Matillion's API. | |
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Support for Standard Formats Can ingest/export standard actuarial, regulatory, and accounting formats (XBRL, etc.). |
Supports standard financial data formats (CSV, XBRL, XML, etc.). | |
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REST and SOAP API Support Supports industry-standard integration protocols. |
REST and SOAP API protocols are supported. | |
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Programmatic Metadata Access Allows third-party applications direct access to metadata stores. |
Programmatic metadata access documented for third-party integration. | |
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Automated Data Lineage Export Exports lineage data to third-party governance or audit tools. |
No information available |
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Transparent Pricing Model Clear, published pricing based on usage, users, or features. |
Transparent subscription pricing based on usage published on vendor site. | |
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Flexible Licensing Options Supports subscription, perpetual, or usage-based licenses. |
Flexible subscription and usage-based license options. | |
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Metered Usage Reporting Real-time reporting of usage or consumption for cost control. |
Detailed usage reporting integrated in the admin UI. | |
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Multi-tenant Cost Allocation Automatically allocates cost between business units/funds. |
Multi-tenant cost allocation supported in enterprise plans. | |
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License Management Console Self-service license management for admins. |
License management toolkit is included for admin self-service. | |
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Automated Overages Alerting Notification for excess usage/approaching contract limits. |
Overages and near-capacity alerts can be configured for usage. | |
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Cost Projection Tool Built-in calculator to estimate future spend. |
Cost estimator/calculator is provided in pricing and admin console. | |
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Resource Quotas Allows admins to impose usage or cost limits. |
Admins can set quotas on usage and spend. | |
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Pay-as-you-go Billing Supports billing proportional to actual use. |
Pay-as-you-go billing model available for cloud deployments. | |
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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. |
Usage analytics for cost breakdown is available via the admin dashboard. |
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24/7 Support Availability Vendor provides around-the-clock phone/email support. |
24/7 support available for enterprise customers. | |
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Dedicated Account Manager Assigned contact for escalation and ongoing relationship. |
Dedicated account manager provided for enterprise tier customers. | |
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Comprehensive Documentation Extensive online or in-product user/config documentation. |
Comprehensive documentation and tutorials are provided online and in-product. | |
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Community Forums Public forums where users share solutions and best practices. |
Active user community forums exist for Matillion support. | |
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Certified Integration Partners Network of third-party integrators with pension domain expertise. |
Certified service partners with domain expertise are listed on the website. | |
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Regular Feature Updates Frequent updates to add/fix features, incorporate industry changes. |
Product releases are regular with new features and fixes published monthly. | |
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Training and Onboarding Structured training programs for technical/business users. |
Structured training via webinars and onboarding is available to customers. | |
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Service Level Agreements (SLAs) Published guarantees for uptime, response, and issue resolution. |
SLAs for uptime/support published for paid customers. | |
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Managed Services Option Option for vendor to operate and manage ETL processes completely. |
Managed service operation available as a fully outsourced option. | |
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Migration Assistance Vendor-led assistance to move workloads from legacy tools. |
Migration support for onboarding and moving from legacy tools mentioned in service catalogue. | |
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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. |
Matillion hosts user groups, webinars, and conferences for customers. | |
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Customization Services Vendor or partner can build custom features for the organization. |
Custom development services are available through Matillion and partners. |
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