A cloud-based data warehousing solution that offers scalability, high performance for analytical workloads, and a pay-as-you-go model, suitable for investment data management in fund management.
Centralized repositories designed to store, organize, and make accessible various types of investment data including historical prices, positions, transactions, and analytical datasets.
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Multi-Source Connectivity Ability to connect to multiple data sources such as custodians, brokers, market data feeds, CRM, and internal systems. |
Azure Synapse Analytics (formerly Azure SQL Data Warehouse) supports integration with multiple data sources including Azure Data Lake, on-premises databases, CRMs, and external feeds via connectors and Data Factory. | |
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Real-Time Ingestion Support for real-time or near real-time data ingestion and updates. |
Supports real-time and near-real-time data ingestion via Synapse Pipelines, event hubs, and streaming analytics. | |
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Batch Processing Support Supports bulk or scheduled data loads at defined intervals. |
Azure Data Factory and Synapse Pipelines support scalable batch/scheduled data integration pipelines. | |
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Data Validation Rules Automated quality checks during ingestion for format, completeness, or range validation. |
Data validation available via Data Factory data flows and Synapse mapping data flows. | |
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Data Mapping/Transformation Ability to map, normalize, or transform source data to internal schemas. |
Supports data mapping/transformation using Data Flows and SQL-based transformations. | |
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API Access for Ingestion Availability of APIs to push/pull data from external systems. |
APIs available for ingestion through Azure SDKs, REST APIs, and connectors. | |
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ETL (Extract, Transform, Load) Tools Built-in or integrated ETL processes for complex workflows. |
Azure Data Factory/Synapse has built-in ETL capabilities for large, complex workflows. | |
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Customizable Workflows Support for creating custom data ingestion and integration workflows. |
Allows users to design custom workflows in Synapse Studio and Data Factory. | |
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Streaming Data Capability Ingestion and management of continuously flowing data (e.g., tick data, news feeds). |
Azure supports streaming analytics for continuous ingestion of data, e.g., with Stream Analytics. | |
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Error Logging & Alerting Automated notifications or logs on ingestion failures, anomalies, or discrepancies. |
Error logging and alerting provided through Azure Monitor, Data Factory activity logs, and alerting rules. | |
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Scalability Maximum capacity of records the ingestion process can handle per hour. |
No information available | |
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Latency Time taken from data arrival at source to availability in warehouse. |
No information available | |
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Auto Schema Detection Automated detection and suggestion for new/unknown data schemas. |
Data Factory offers some auto schema detection and suggestion during mapping data flows. |
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Storage Capacity Maximum volume of data that can be stored. |
No information available | |
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Data Compression Support for storage-efficient compression algorithms. |
Supports storage-efficient compression algorithms (e.g., columnar storage in Synapse). | |
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Partitioning & Sharding Support for data partitioning or sharding for optimized performance. |
Partitioning (distribution) and sharding fully supported for performance optimization within Azure Synapse. | |
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Columnar vs. Row Storage Choice between columnar or row-based data storage, or hybrid models. |
User can select between columnar storage (preferred for analytics) or row-based tables as needed. | |
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Elastic Scaling Ability to dynamically scale storage resources up/down as needed. |
Elastic scaling is a core feature of Azure Synapse Analytics and underlying storage. | |
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High Availability & Redundancy Built-in redundancy for data protection and system resilience. |
Azure guarantees high availability with geo-redundancy and failover built into its architecture. | |
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Data Snapshots Capability to take periodic snapshots or backups of stored data. |
Supports automated and on-demand backups (snapshots) of data warehouses. | |
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Cloud/On-Premises Option Deployment flexibility on cloud, on-premises or hybrid environments. |
Product can be deployed as pure cloud, hybrid, or with on-premises integration. | |
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Object Storage Integration Ability to integrate with external object stores (like S3, Azure Blob, etc). |
Integrates directly with Azure Blob Storage, S3-compatible endpoints, and other object stores. | |
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Immutable Data Storage Supports 'write-once, read-many' records for archiving and audit trails. |
Azure Data Lake and Blob support write-once, read-many via archiving and legal hold features. | |
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Data Encryption at Rest Uses encryption to secure data at rest on storage devices. |
Azure Storage and SQL Data Warehouse support encryption at rest with managed keys. | |
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Schema Evolution Capability to modify and evolve storage schemas with minimal disruption. |
Allows seamless schema evolution via SQL and PowerShell commands with online table changes. |
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Role-Based Access Controls (RBAC) Enables fine-grained permissions based on user roles and responsibilities. |
Role-based access controls provided via Azure Active Directory integration. | |
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Multi-Factor Authentication (MFA) Requires multiple authentication methods for enhanced security. |
Azure has built-in multi-factor authentication (MFA) options for administrators and users via AAD. | |
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Data Encryption In Transit Secures data as it moves between systems using transport-layer encryption. |
Data in transit is encrypted using TLS by default in Azure services. | |
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Audit Logging Captures logs of all user actions for compliance and review. |
Comprehensive audit logging enabled via Azure Monitor and SQL auditing features. | |
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Granular Permissions Allows field-, table-, or dataset-level restrictions on view/edit |
Field, table, and dataset permissions can be configured in Azure Synapse/Security model. | |
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User Provisioning Automation Streamlines onboarding/offboarding of user access rights. |
User provisioning and deprovisioning can be automated via Azure AD/Groups integration and APIs. | |
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Single-Sign-On (SSO) Integration Integration with enterprise authentication solutions for single sign-on. |
Supports SSO via Azure Active Directory and compatible enterprise identity providers. | |
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Data Masking Conceals sensitive fields from unauthorized users while keeping them available for queries. |
Data masking and dynamic data masking are available on Azure SQL family. | |
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Security Incident Alerting Automated alerts triggered by unusual activities or access violations. |
Security alerting possible via Azure Security Center and custom alerts. | |
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Field Level Encryption Ability to encrypt specific columns or fields within the warehouse. |
Column-level (field-level) encryption available via SQL and Azure Key Vault. | |
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Certifications/Compliance System meets external standards (e.g. SOC 2, ISO 27001, GDPR). |
Azure meets external standards (SOC 2, ISO 27001, GDPR, HIPAA, etc.) | |
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Data Access Expiry Ability to grant time-limited access to specific datasets. |
Supports time-limited data access via Azure RBAC and temporary access tokens. |
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Automated Data Quality Checks Scheduled or real-time scans for inconsistencies, outages, and data drift. |
Automated, scheduled, and real-time data quality checks available through Synapse Pipelines/ADF. | |
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Data Lineage Tracking Full traceability of data sources and transformations. |
Data lineage tracking available in Synapse data integration pipelines and Purview (Azure data governance). | |
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Data Deduplication Automated identification and resolution of duplicate records. |
Deduplication can be programmed into Data Flows or handled during ingestion/transformation. | |
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Historical Data Versioning Retains and enables access to previous versions of records. |
Supports historical versioning of records using temporal tables and backup/snapshot features. | |
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Metadata Management Cataloging of data with descriptive metadata, tags, and classifications. |
Extensive metadata management through Azure Purview and Synapse Catalogs. | |
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Data Reconciliation Tools Tools for aligning positions, transactions, and market values with external sources. |
Data reconciliation tools and logic can be implemented using Data Flows; templates exist for financial reconciliations. | |
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Custom Validation Rules Administrators can define custom data validation and alert logic. |
Custom validation and alerting logic can be implemented using mapping data flows or custom scripts. | |
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Error Correction Workflow Built-in process for reviewing and resolving flagged issues. |
Provides workflow for error tracking, correction, and annotation via pipelines and integration with other Azure services. | |
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Data Anomaly Detection Automated identification of abnormal or suspicious data patterns. |
Synapse supports anomaly detection through integration with Azure ML, and built-in data monitoring options. | |
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Quality Score Metrics Quantitative scoring of data quality or completeness. |
No information available |
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Query Response Time Average time for user queries to complete. |
No information available | |
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Concurrent Users Supported Maximum number of simultaneous active users. |
No information available | |
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Max Query Throughput Highest number of queries handled per second. |
No information available | |
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Elastic Compute Scaling Ability to add processing resources dynamically as workload grows. |
Elastic compute scaling is a core feature—dynamically adjust DWUs (data warehouse units) as needed. | |
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High Availability Uptime/availability percentage supported by system architecture. |
No information available | |
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Geographic Distribution Ability to distribute data and resources across multiple locations. |
Multiple geographic region deployment is available for local performance and disaster recovery. | |
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Hybrid Scaling Support for both vertical (bigger servers) and horizontal (more servers) growth. |
Supports vertical scaling (performance tier) and horizontal scaling (adding more services/nodes). | |
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Resource Utilization Optimizations Automated resource allocation and optimization for performance. |
Resource optimization and workload management is built-in with automatic scaling and tuning. | |
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Data Caching Layered caching to speed up frequently accessed queries. |
Caching layers for query acceleration are native to Synapse Analytical Pools. | |
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Workload Isolation Isolating analytic and operational workloads to prevent interference. |
Provides workload isolation between compute pools and users. |
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Ad-Hoc Query Tools User ability to run custom queries without IT intervention. |
Supports ad-hoc SQL querying and integration with Azure Data Studio or Power BI. | |
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Integrated Reporting Provision of built-in or plug-in dashboards and report templates. |
Built-in dashboards, plug-in Power BI reporting, and templates are available in Synapse workspace. | |
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Data Visualization Support for charting, heatmaps, and other visualization outputs. |
Extensive data visualization support through Power BI integration and third-party tools. | |
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OLAP (Online Analytical Processing) Multi-dimensional data cubes for advanced slicing/dicing. |
Supports OLAP via materialized views and integration with Analysis Services. | |
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API for Data Export APIs for exporting data to downstream analytics/BI tools. |
APIs available for data export to a wide range of analytics and BI tools. | |
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Scheduled Reporting Capability to schedule and distribute recurring reports. |
Scheduled and recurring reporting can be set up with Synapse and Power BI. | |
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Self-Service BI Integration Connection with leading business intelligence tools (Power BI, Tableau, etc). |
Synapse and Azure Data Warehouse natively integrate with Power BI and third-party BI tools. | |
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User-Defined Metrics & Calculations Ability for users to create custom metrics and run calculations. |
Supports custom metrics/calculations using SQL and user-defined functions. | |
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Natural Language Query Supports querying data using plain English or natural language. |
Not as far as we are aware.* Natural language query is not natively built into Synapse but can be accessed via Power BI Q&A or third-party layers. | |
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Audit Reports Automated generation of compliance or data access audit reports. |
Audit report generation possible through built-in logging and Power BI or custom reporting. |
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Data Retention Policies Automated enforcement of data lifespan per regulatory requirements. |
Automated data retention policies available via SQL Data Warehouse and Azure Compliance Center. | |
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Consent Management Tools to record and enforce user/client consent for data use. |
Consent and privacy management possible through Azure Purview and Compliance Manager. | |
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GDPR/CCPA Compliance Modules Functions for supporting global privacy laws in data management. |
GDPR/CCPA moduling supported in Azure Purview, Compliance Center, and data warehouse setup. | |
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Change Management & Approval Workflow Approval process tracking for critical data or schema changes. |
Change and approval workflows can be orchestrated using Logic Apps, Power Automate, and Purview. | |
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Policy Documentation Portal Online repository for governance, access, and retention policies. |
Documentation portals can be built using Azure DevOps Wiki or integrated documentation tools. | |
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Data Stewardship Assignment Assign roles for stewardship and ongoing data oversight. |
Data stewardship roles can be assigned in Purview and within the Azure access control model. | |
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Data Usage Monitoring Track and report data access frequency and patterns. |
Data usage monitoring through Azure Monitor, Log Analytics, and Purview is available. | |
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Automated Regulatory Reporting Template-driven and automated generation of regulatory filings. |
Template-driven regulatory reports possible via Logic Apps, Power Automate, and Power BI templates. | |
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E-discovery Support Tools for responding to legal or regulatory data queries. |
E-discovery support through Microsoft Compliance Center and auditing features. | |
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Full Audit Trail Detailed, immutable logging of data access and changes for compliance. |
Complete audit trail of data access and changes through SQL logs, Azure Monitor, and Purview. |
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Standardized API Interfaces Support for REST, GraphQL, or other industry-standard APIs. |
Standard REST, OData, and other APIs are available and supported by Azure services. | |
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Event Driven Architecture Ability to publish/subscribe to changes via events (e.g., webhooks, Kafka). |
Supports event-driven architecture via Event Grid, webhooks, and Kafka through Event Hubs. | |
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Data Export Connectors Pre-built connectors to downstream systems (accounting, risk, performance). |
Pre-built connectors for major accounting, risk, and downstream systems through Data Factory. | |
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Data Import Connectors Connectors for ingesting data from industry-standard vendors and records. |
Ingest connectors support Bloomberg, Refinitiv, FactSet, and many other vendors. | |
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Bulk Data Transfer Support Efficient mechanisms for exporting/importing large datasets. |
Efficient support for bulk import/export through Polybase, BCP, and Data Factory. | |
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Custom Plugin Support Ability to extend functionality via custom plugins. |
Custom plugin and function support available through SQL, .NET, and Python integration. | |
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Data Synchronization Scheduling Configure schedules and triggers for sync with external applications. |
Scheduling and triggers manageable within Data Factory and Synapse Pipelines. | |
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Federated Query Support Query data across multiple sources without data movement. |
Federated query support provided via Azure Synapse serverless pools. | |
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Open Standards Adoption Uses open-source or de-facto industry schemas and protocols. |
Supports open standards (SQL, ODBC/JDBC, REST) and industry protocols widely. | |
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Integration Testing Sandbox Provides a test environment for third-party integration validation. |
Test environments for integration and dev/test workspaces are available. |
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Intuitive User Interface Modern, easy-to-navigate web UI for end users and admins. |
Modern, easy web UI provided in Synapse Studio for both admins and analysts. | |
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Customizable Dashboards Personalized dashboards for different user roles. |
Dashboards and workspaces can be customized per user/role in Synapse. | |
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User Activity Monitoring Admin panel to review recent logins and actions. |
User monitoring and tracking included in Azure Monitor and admin audit logs. | |
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Bulk User Management Batch provisioning, editing, or deactivation of users. |
Bulk user management available by integrating Azure AD with Synapse workspace. | |
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Localization and Multi-language Support UI and documentation in multiple languages. |
Localization/multilanguage support built into Azure portal environments. | |
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Accessibility Compliance Adheres to WCAG or other accessibility standards. |
Adheres to accessibility standards; Microsoft committed to WCAG 2.1 compliance. | |
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Custom Notification Settings Users can configure their own notification preferences. |
Notification preferences are user-configurable in the portal and via email/service hooks. | |
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In-platform Help & Support Contextual help guides, live chat, or ticket escalation. |
In-platform help, documentation, and support chat are available directly within UI. | |
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System Usage Analytics Track and visualize user adoption and active usage trends. |
User adoption analytics are available using Azure Monitor and custom Power BI dashboards. | |
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Theming & Branding Options Support for organization-specific visual branding. |
Supports custom branding and theming at the organizational level. |
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Real-Time System Monitoring Visibility into performance, capacity, and health via dashboards. |
Real-time monitoring dashboards built into Synapse Studio and Azure Monitor. | |
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Automated Backups Scheduled and on-demand backup management. |
Automated backups provided by default (with configuration options for different backup/restore strategies). | |
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Disaster Recovery Support Plans and automation for fast recovery from critical failures. |
Disaster recovery, business continuity, and point-in-time restore are standard features. | |
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24/7 Technical Support Access to technical support all day, every day. |
24/7 technical support offered via Microsoft Premier, Unified Support, and select enterprise plans. | |
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Self-Healing Capabilities Automated detection and mitigation of system faults. |
Self-healing features managed at infrastructure level by Azure; includes automatic failover. | |
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Patch & Version Management Tools for applying updates and managing software versions. |
Tools for managing updates, versioning, and automated patch application available. | |
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Automated Resource Scaling Dynamic allocation of compute and storage as workload changes. |
Compute and storage are dynamically scaled according to DWU/DBU configurations. | |
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Incident Management Dashboard Central dashboard for viewing, tracking, and resolving operational incidents. |
Incident management dashboards and alerting are built into Azure Monitor and Service Health. | |
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Performance Baselines Historical records of key performance baselines for benchmarking. |
Performance baselines are tracked by Azure Monitor and Log Analytics. | |
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Service Level Agreement (SLA) Uptime Guaranteed system availability percentage per SLA. |
No information available |
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