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Airport Operations Management Software · Amadeus

Amadeus Airport Operational Data Base (AODB)

Cloud-hosted airport operational database providing long-range schedules, real-time operational data and integrated airport decision support.

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TechSelectAI factual data

Factual summary

Amadeus Airport Operational Data Base (AODB) is listed by TechSelectAI in Airport Operations Management Software. TechSelectAI currently records 35 supported capabilities, 12 conditional capabilities, 33 unknown or not-yet-verified capabilities, and 0 not-supported capabilities. Average confidence across known capability facts is 99%. Latest recorded review or verification activity: Sep 22, 2026.

35 Supported12 Conditional33 Unknown / not yet verified0 Not supported99% known-fact confidenceUpdated Sep 22, 2026

This summary reflects recorded TechSelectAI evidence only. It is separate from buyer-specific Fit Score, Evidence Confidence, TechSelectAI Verified Reviews and Public Review Intelligence. Unknown means not yet verified, not unsupported.

Product data freshness: Current · Last reviewed Sep 22, 2026. Vendor-provided facts, reviewed evidence, community-derived insights, and TechSelectAI analysis are kept as separate evidence classes. Methodology.
Vendor
Amadeus
Research coverage
59%
Known capability facts
47 / 80
Supported
35
Evidence confidence
99%
Last reviewed
Sep 22, 2026
Research status

Evidence depth

Research coverage is not a product score. It measures how much of TechSelectAI's current capability model has an evidenced status for this product. A research-pending fact may still be supported by the product; TechSelectAI has not yet established enough evidence to classify it.

47 of 80 facts known
35 supported12 conditional33 research pending0 explicitly unsupported8 verified sources
Known capability coverage15 / 25
47 / 80 known
Verified source depth15 / 15
8 verified sources
Source diversity4 / 10
1 source types · 2 publishers
Technical documentation5 / 15
1 technical source
Capability-to-source linkage10 / 10
47 known capability records linked to verified evidence
Integration evidence0 / 8
0 known integrations
Deployment evidence0 / 7
0 known deployment models
Commercial / edition coverage0 / 4
0 pricing rows · 0 editions
Evidence freshness6 / 6
8 / 8 verified sources checked in last 365 days

Research completeness: 55% — Developing research. This measures TechSelectAI's research record, not product quality, fit, market position or recommendation rank. It never controls indexability.

At a glance

A structured summary from the TechSelectAI knowledge base. Product fit depends on your specific requirements, deployment model, integrations and commercial constraints.

Evidence coverage

8 verified sources · 47 of 80 capability facts have an evidenced status · 33 remain research pending.

Buyer evaluation guide

Use the recorded evidence below to plan a product demo or RFP discussion. This section does not rank Amadeus Airport Operational Data Base (AODB) or infer unsupported capabilities; it turns verified facts, conditions and research gaps into questions a buyer can validate.

Documented areas to validate

Conditions and evidence gaps

  • Delay / disruption cause analytics: Amadeus currently documents Garv, an AI agent for airport operations teams, as analyzing operational data, identifying outliers, explaining reasons behind unusual patterns and supporting root-cause analysis. This establishes delay/disruption cause-analysis capability in the related airport-operations analytics/agent layer, but the public source does not establish that this is a base-AODB feature or a complete historical taxonomy of recorded delay causes.
  • Predictive arrival / delay information: Amadeus documents turnaround prediction and predictive airport analytics, but the reviewed AODB source does not explicitly establish a dedicated ETA or delay-prediction capability across all flights.
  • Irregular flight handling: The A-CDM portal highlights operational irregularities and supports rapid collaborative response, but the reviewed page does not establish every irregular-flight state or lifecycle field in the core AODB.
  • Resource-change notifications: Virtual APOC provides event-driven alerts that prompt stakeholders to act. The reviewed source does not state that every resource assignment change automatically generates a dedicated notification.
  • 33 capability facts remain research pending and should be confirmed during evaluation.

Questions to take to the vendor

  • Request current written pricing and edition terms; TechSelectAI does not currently have verified public pricing for this product.
  • Resolve the 33 research-pending capability facts that could matter to your requirements.

Guidance is assembled from the same recorded TechSelectAI evidence shown on this page. Unknown means not yet verified, not unsupported. Buyer-specific Fit Score remains separate.

Amadeus Airport Operational Data Base (AODB) implementation & configuration guide

This implementation playbook turns the recorded product evidence into a practical project sequence. It is deliberately version-neutral: TechSelectAI does not invent vendor commands, ports, sizing values or hidden prerequisites. Use the vendor's current documentation for exact installation steps, and use this guide to structure architecture, configuration, testing, cut-over and operational acceptance.

Evidence boundary: This is a TechSelectAI implementation planning guide assembled from recorded product evidence. It is not a substitute for the vendor's version-specific installation manual, certified implementation method, sizing exercise or security hardening guide.

1. Scope and prerequisites

Define what will be implemented before touching production configuration.

  • Confirm business scope, sites, users, environments, ownership and success criteria for flight data, AODB, stands/gates, resources, turnaround milestones, disruption and stakeholder interfaces.
  • Confirm the exact edition, modules and licensed functions in writing with the vendor.
  • Classify must-have, phase-two and optional requirements; do not treat research-pending items as supported until demonstrated.
  • Identify security, identity, data-retention, audit, availability, backup and recovery requirements.

2. Architecture and environments

Translate the selected commercial scope into a supportable technical design.

  • Confirm SaaS, cloud, hosted or on-premises architecture, including responsibility boundaries.
  • Define development/test/UAT/production environments and how configuration will be promoted between them.
  • Document identity and access design, privileged administration, service accounts, certificates/keys and network trust boundaries.
  • Confirm monitoring, logging, capacity, resilience, backup/restore and disaster-recovery ownership before go-live.

3. Baseline configuration

Configure the operating model before enabling integrations and bulk data.

  • Configure organizational structure, sites, roles, permissions, workflows, calendars, reference data and naming standards required for airport topology, stands, gates, belts, resources, flight rules, milestones, constraints and allocation priorities.
  • Prioritize validation of currently evidenced areas such as Historical trend analysis, Machine-learning operational predictions, Operational KPI analytics, Resource utilization analytics, What-if / scenario analysis.
  • Treat conditional capabilities as explicit design decisions, especially Delay / disruption cause analytics, Predictive arrival / delay information, Irregular flight handling, Resource-change notifications.
  • Maintain a configuration workbook with setting, owner, rationale, environment, change ticket and validation evidence.

4. Integrations and data

Connect the product without creating hidden operational dependencies.

  • Create an interface inventory covering source, destination, protocol/API, frequency, ownership, credentials, retry handling and monitoring.
  • Define master-data ownership, migration mapping, cleansing rules, reconciliation totals and cut-over freeze windows.
  • Test authentication expiry, duplicate messages, late/out-of-order data, unavailable endpoints, retries and recovery after an outage.
  • Document manual fallback procedures for any integration that can block critical operations.

5. Validation and acceptance

Prove the configured solution using realistic business scenarios, not only happy-path screenshots.

  • Run normal and disrupted flight rotations including delay, aircraft swap, cancellation, stand/gate change and resource conflict.
  • Validate timestamp precedence, AODB/interface propagation, downstream messaging and recovery from stale or interrupted data feeds.
  • Resolve high-impact research-pending items before acceptance, including Configurable operational reports, On-time performance KPIs, Structured data export, Airport operational reference data, Historical flight data.
  • Run role/security, negative, exception, performance, recovery and audit-trail tests in addition to normal functional UAT.
  • Capture expected result, actual result, evidence, defect reference, retest result and business sign-off for each acceptance scenario.

6. Cut-over, go-live and operations

Make the transition reversible, observable and supportable.

  • Use a timed cut-over plan with owners, dependencies, decision checkpoints, communications, rollback criteria and business continuity steps.
  • Freeze uncontrolled configuration changes before final migration and retain an export/snapshot of approved production settings where the product supports it.
  • Define hypercare coverage, severity model, vendor escalation path, monitoring dashboard, daily reconciliation and known-issue register.
  • After stabilization, move configuration changes into normal change control and schedule periodic access, integration, backup/recovery and upgrade reviews.

Configuration validation worksheet

Use these evidence-backed capability records as configuration checkpoints during discovery, design workshops and UAT. “Recorded status” describes the current TechSelectAI evidence state; it is not an instruction to enable the function.

AreaRecorded statusConfiguration questionKnown condition / limitation
Delay / disruption cause analyticsPartially SupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus currently documents Garv, an AI agent for airport operations teams, as analyzing operational data, identifying outliers, explaining reasons behind unusual patterns and supporting root-cause analysis. This establishes delay/disruption cause-analysis capability in the related airport-operations analytics/agent layer, but the public source does not establish that this is a base-AODB feature or a complete historical taxonomy of recorded delay causes.
Historical trend analysisSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus Airport Insights explicitly collects and analyzes reports over time to detect trends for operational planning and resource prioritization, and explicitly uses historical data with machine learning to refine planning decisions. This capability belongs to the related Airport Insights product rather than the base AODB alone.
Machine-learning operational predictionsSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Airport Insights combines pre-integrated data streams with machine learning and predictive analytics, and Virtual APOC uses Azure Machine Learning for operational plan simulation. These are related Amadeus airport-operations modules rather than the AODB core alone.
Operational KPI analyticsSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus AODB includes an operations dashboard for live performance analysis, while F-RMS uses multiple weighted KPIs to optimize resource plans.
Predictive arrival / delay informationPartially SupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus documents turnaround prediction and predictive airport analytics, but the reviewed AODB source does not explicitly establish a dedicated ETA or delay-prediction capability across all flights.
Resource utilization analyticsSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Airport Insights explicitly analyzes infrastructure asset usage by day and time to optimize airport resources and flight turnarounds. This capability belongs to the related Airport Insights product.
What-if / scenario analysisSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Virtual APOC explicitly uses simulation models and machine learning to assess potential operational plans before stakeholders act.
Central AODB flight recordSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus AODB is the central airport operational database and is described as operating at the heart of airport decision-making. Exact airport-specific data fields depend on configuration.
Irregular flight handlingPartially SupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?The A-CDM portal highlights operational irregularities and supports rapid collaborative response, but the reviewed page does not establish every irregular-flight state or lifecycle field in the core AODB.
Multi-source flight consolidationSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus documents data aggregation from multiple sources and a unified operational database used for shared situational awareness.
Real-time flight updatesSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus AODB automatically receives live flight updates and shares real-time flight database updates across connected operations.
Seasonal flight schedulesSupportedWhat configuration, module, licensing, integration or operating assumption is required for this capability in the airport operations model?Amadeus AODB holds airline schedules up to 365 days in advance and is explicitly positioned for long-range airport planning.

Official installation, administration & technical sources

Where TechSelectAI has verified vendor documentation that appears relevant to deployment, setup, administration, integration, architecture, security or migration, it is surfaced here. Exact procedures can change by version and edition.

Go-live evidence pack

A useful implementation should leave auditable evidence, not only a configured system. At minimum, retain the following project artifacts.

  • Approved solution architecture and responsibility matrix
  • Licensed edition/module scope and environment inventory
  • Configuration workbook with owner and rationale
  • Identity, role and privileged-access design
  • Interface inventory and failure/retry ownership
  • Migration mapping and reconciliation evidence
  • UAT scenarios, defects, retests and business sign-off
  • Performance, resilience and recovery test evidence
  • Cut-over schedule, rollback criteria and BCP steps
  • Monitoring, backup, support and escalation runbook
  • Known limitations and accepted residual risks
  • Upgrade/patch ownership and post-go-live review cadence

Amadeus Airport Operational Data Base (AODB) implementation FAQ

Answers below are generated from this profile's recorded evidence and the implementation framework above. They distinguish documented facts from research gaps rather than filling gaps with assumptions.

What should be confirmed before implementing Amadeus Airport Operational Data Base (AODB)?

Confirm the contracted edition and modules, target environments, identity and security model, integrations, data migration scope, availability/recovery requirements, support ownership and measurable acceptance criteria before production configuration begins.

Which deployment options are recorded for Amadeus Airport Operational Data Base (AODB)?

The current TechSelectAI profile does not contain a sufficiently specific deployment record. Confirm SaaS/cloud/hosted/on-premises architecture, environment responsibilities, networking, backup and recovery directly with the vendor.

Which integrations should be validated for Amadeus Airport Operational Data Base (AODB)?

No specific integration list is strong enough in the current profile to treat as complete. Build an interface inventory and validate APIs, identity, master-data and operational integrations with the vendor.

Which capabilities currently have the strongest positive evidence?

The current profile records supported capability evidence including Historical trend analysis, Machine-learning operational predictions, Operational KPI analytics, Resource utilization analytics, What-if / scenario analysis, Central AODB flight record. This is not a complete feature list and should be read with the linked source evidence and any limitations.

What product areas need extra confirmation during implementation?

Conditional or scope-dependent areas include Delay / disruption cause analytics, Predictive arrival / delay information, Irregular flight handling, Resource-change notifications, High-volume scalability. Research-pending areas include Configurable operational reports, On-time performance KPIs, Structured data export, Airport operational reference data, Historical flight data. These should be demonstrated and documented before acceptance.

Does TechSelectAI provide the official installation procedure for Amadeus Airport Operational Data Base (AODB)?

TechSelectAI surfaces verified vendor technical sources on this page where available, but exact installation commands, prerequisites, sizing and hardening remain vendor/version specific. Use the current official documentation as the procedural authority.

Capabilities

Capabilities are grouped by business area. “Not yet verified” is a research-pending state: evidence is incomplete, and it is not the same as “not supported”.

Analytics & Prediction

Configurable operational reportsCreate configurable operational or management reports from airport operations data.
Not Yet Verified
0%confidenceLast verified not recorded
Delay / disruption cause analyticsAmadeus currently documents Garv, an AI agent for airport operations teams, as analyzing operational data, identifying outliers, explaining reasons behind unusual patterns and supporting root-cause analysis. This establishes delay/disruption cause-analysis capability in the related airport-operations analytics/agent layer, but the public source does not establish that this is a base-AODB feature or a complete historical taxonomy of recorded delay causes.
Partially Supported
99%confidenceLast verified Sep 22, 2026
Historical trend analysisAmadeus Airport Insights explicitly collects and analyzes reports over time to detect trends for operational planning and resource prioritization, and explicitly uses historical data with machine learning to refine planning decisions. This capability belongs to the related Airport Insights product rather than the base AODB alone.
Supported
100%confidenceLast verified Sep 22, 2026
Machine-learning operational predictionsAirport Insights combines pre-integrated data streams with machine learning and predictive analytics, and Virtual APOC uses Azure Machine Learning for operational plan simulation. These are related Amadeus airport-operations modules rather than the AODB core alone.
Supported
99%confidenceLast verified Sep 22, 2026
On-time performance KPIsMeasure airport or flight on-time-performance indicators from operational data.
Not Yet Verified
0%confidenceLast verified not recorded
Operational KPI analyticsAmadeus AODB includes an operations dashboard for live performance analysis, while F-RMS uses multiple weighted KPIs to optimize resource plans.
Supported
100%confidenceLast verified Sep 22, 2026
Predictive arrival / delay informationAmadeus documents turnaround prediction and predictive airport analytics, but the reviewed AODB source does not explicitly establish a dedicated ETA or delay-prediction capability across all flights.
Partially Supported
98%confidenceLast verified Sep 22, 2026
Resource utilization analyticsAirport Insights explicitly analyzes infrastructure asset usage by day and time to optimize airport resources and flight turnarounds. This capability belongs to the related Airport Insights product.
Supported
99%confidenceLast verified Sep 22, 2026
Structured data exportExport operational, analytical or reference data in documented structured formats.
Not Yet Verified
0%confidenceLast verified not recorded
What-if / scenario analysisVirtual APOC explicitly uses simulation models and machine learning to assess potential operational plans before stakeholders act.
Supported
100%confidenceLast verified Sep 22, 2026

AODB & Flight Data Core

Airport operational reference dataMaintain airport operational reference data such as airlines, aircraft types, locations, resources or service definitions.
Not Yet Verified
0%confidenceLast verified not recorded
Central AODB flight recordAmadeus AODB is the central airport operational database and is described as operating at the heart of airport decision-making. Exact airport-specific data fields depend on configuration.
Supported
100%confidenceLast verified Sep 22, 2026
Historical flight dataRetain historical operational flight records for analysis, audit or planning.
Not Yet Verified
0%confidenceLast verified not recorded
Irregular flight handlingThe A-CDM portal highlights operational irregularities and supports rapid collaborative response, but the reviewed page does not establish every irregular-flight state or lifecycle field in the core AODB.
Partially Supported
99%confidenceLast verified Sep 22, 2026
Linked arrival / departure turnsLink related arrival and departure flight legs into operational turns or rotations where supported.
Not Yet Verified
0%confidenceLast verified not recorded
Multi-source flight consolidationAmadeus documents data aggregation from multiple sources and a unified operational database used for shared situational awareness.
Supported
100%confidenceLast verified Sep 22, 2026
Operational flight timestampsMaintain planned, estimated, actual and other operational timestamps against flight records.
Not Yet Verified
0%confidenceLast verified not recorded
Real-time flight updatesAmadeus AODB automatically receives live flight updates and shares real-time flight database updates across connected operations.
Supported
100%confidenceLast verified Sep 22, 2026
Schedule versioning / change controlTrack or govern changes between seasonal, daily and live flight schedules.
Not Yet Verified
0%confidenceLast verified not recorded
Seasonal flight schedulesAmadeus AODB holds airline schedules up to 365 days in advance and is explicitly positioned for long-range airport planning.
Supported
100%confidenceLast verified Sep 22, 2026

Day-of-Operations Control

Alerts / exception visibilityThe A-CDM portal highlights irregularities and active issues, while Virtual APOC provides event-driven alerts for operational response.
Supported
100%confidenceLast verified Sep 22, 2026
Drag-and-drop / manual overrideAllow authorized operators to manually change resource assignments through an operational user interface.
Not Yet Verified
0%confidenceLast verified not recorded
Live resource availability viewF-RMS provides a complete operational view of fixed airport resources and current assignment plans. The exact real-time refresh behavior depends on connected AODB data and implementation.
Supported
99%confidenceLast verified Sep 22, 2026
Operational dashboard / common pictureThe AODB operations dashboard provides a high-level overview of current airport performance, parameters and ongoing operational issues.
Supported
100%confidenceLast verified Sep 22, 2026
Real-time resource reallocationAmadeus Virtual APOC is designed to help airports react to disruption and reallocate resources such as stands and gates using a shared operational plan. This capability is associated with the Virtual APOC layer rather than AODB alone.
Supported
99%confidenceLast verified Sep 22, 2026
Reallocation recommendationsVirtual APOC provides decision support and event-driven prompts that help stakeholders act on recommendations during operational disruption. The exact recommendation algorithm is not public.
Supported
99%confidenceLast verified Sep 22, 2026
Resource conflict detectionThe F-RMS Gantt view is explicitly used to understand resource assignments and take rapid action to avoid conflicts. The source does not define every conflict-detection rule.
Supported
99%confidenceLast verified Sep 22, 2026
Resource lock / freeze controlsLock or freeze selected assignments, flights or planning horizons against automatic changes.
Not Yet Verified
0%confidenceLast verified not recorded
Resource-change notificationsVirtual APOC provides event-driven alerts that prompt stakeholders to act. The reviewed source does not state that every resource assignment change automatically generates a dedicated notification.
Partially Supported
98%confidenceLast verified Sep 22, 2026
Stakeholder resource-plan sharingVirtual APOC provides a shared environment and common operational plan for airport stakeholders to collaborate during day-to-day operations and disruption.
Supported
99%confidenceLast verified Sep 22, 2026

Deployment & Resilience

Backup / restoreProvide documented backup and restoration capabilities for operational data or services.
Not Yet Verified
0%confidenceLast verified not recorded
Cloud deploymentThe current Amadeus AODB product page explicitly states that AODB is cloud-hosted and accessible through an internet connection.
Supported
100%confidenceLast verified Sep 22, 2026
Degraded / contingency operating modeSupport a documented degraded, offline or contingency mode for selected airport operations.
Not Yet Verified
0%confidenceLast verified not recorded
Disaster recoveryProvide documented disaster-recovery arrangements for the airport operations platform.
Not Yet Verified
0%confidenceLast verified not recorded
High availability / operational resilienceProvide documented high-availability, failover or comparable operational-resilience architecture.
Not Yet Verified
0%confidenceLast verified not recorded
High-volume scalabilityAmadeus describes its airport operations solutions as modular and scalable and positions its cloud platform for airports of different sizes. The reviewed sources do not provide a specific flight-volume, user or transaction benchmark for AODB.
Partially Supported
98%confidenceLast verified Sep 22, 2026
Managed support / operational servicesProvide documented managed support, monitoring or operational service options for the platform.
Not Yet Verified
0%confidenceLast verified not recorded
On-premise deploymentOffer a documented airport-hosted or on-premise deployment option.
Not Yet Verified
0%confidenceLast verified not recorded
Service / infrastructure monitoringMonitor operational application or infrastructure health to identify service issues.
Not Yet Verified
0%confidenceLast verified not recorded
Upgrade continuity / minimal-downtime updatesSupport documented platform updates intended to minimize operational downtime.
Not Yet Verified
0%confidenceLast verified not recorded

Fixed Resource Planning

Airline / handler preference rulesApply documented airline, handler or operational preferences during resource planning.
Not Yet Verified
0%confidenceLast verified not recorded
Automatic resource allocation engineAmadeus F-RMS automatically generates optimized resource-allocation plans from configured business rules and KPI objectives.
Supported
100%confidenceLast verified Sep 22, 2026
Baggage belt / reclaim allocationAmadeus F-RMS explicitly optimizes baggage-arrival belt allocations. This capability is bounded to the related F-RMS module.
Supported
100%confidenceLast verified Sep 22, 2026
Baggage chute / lateral allocationPlan baggage make-up chutes, laterals or comparable outbound baggage resources.
Not Yet Verified
0%confidenceLast verified not recorded
Bus gate / remote-stand transport allocationPlan bus-gate or comparable remote-stand passenger transport resources against flights.
Not Yet Verified
0%confidenceLast verified not recorded
Check-in counter allocationAmadeus F-RMS explicitly optimizes check-in counter allocations. This is a related resource-management module capability rather than a claim about the AODB core alone.
Supported
100%confidenceLast verified Sep 22, 2026
Long-term capacity planningAODB provides one year of schedule visibility and turnaround prediction for long-term capacity assessment; F-RMS provides a 12-month seasonal planning view.
Supported
100%confidenceLast verified Sep 22, 2026
Resource dependency rulesF-RMS documents configurable business rules and weighted KPIs for resource optimization. The reviewed source does not enumerate every compatibility/dependency rule type represented by this TechSelectAI criterion.
Partially Supported
99%confidenceLast verified Sep 22, 2026
Resource utilization forecastingAmadeus AODB uses long-term passenger and traffic visibility to understand future resource requirements, while F-RMS supports 12-month planning. The reviewed material does not establish a standalone resource-utilization forecasting model for every asset type.
Partially Supported
99%confidenceLast verified Sep 22, 2026
Stand / gate allocationAmadeus F-RMS explicitly optimizes allocation of stands and gates using configurable business rules and weighted KPIs. This capability belongs to the related F-RMS module, not the base AODB alone.
Supported
100%confidenceLast verified Sep 22, 2026

Integration & Data Quality

AIDX messagingExchange airport/airline operational flight information using documented AIDX messages or interfaces.
Not Yet Verified
0%confidenceLast verified not recorded
API / airport-system integrationAmadeus states that AODB integrates resource, flight and sequence-management applications and airport systems. The reviewed source does not establish a public general-purpose API surface for every integration.
Partially Supported
99%confidenceLast verified Sep 22, 2026
ATC / radar integrationAmadeus explicitly states that the real-time A-CDM airfield view tracks aircraft positions using radar integration and consolidated flight data.
Supported
100%confidenceLast verified Sep 22, 2026
Configurable data-validation rulesValidate operational data against configurable quality, consistency or business rules.
Not Yet Verified
0%confidenceLast verified not recorded
EUROCONTROL / network feed integrationUse documented EUROCONTROL or comparable network-manager operational feeds.
Not Yet Verified
0%confidenceLast verified not recorded
Event / operational data publishingAODB distributes and shares real-time flight database updates across airport operations and multiple airports. The reviewed source does not establish every event-publishing protocol or subscription model.
Partially Supported
99%confidenceLast verified Sep 22, 2026
External operational data feedsAODB automatically receives live flight information and consolidates operational inputs from multiple sources.
Supported
100%confidenceLast verified Sep 22, 2026
IATA Type B messagingReceive, process or distribute documented IATA Type B operational messages.
Not Yet Verified
0%confidenceLast verified not recorded
Source priority / data-quality controlAmadeus AODB explicitly provides data aggregation and source priority, selecting the most valuable source by data type to improve accuracy.
Supported
100%confidenceLast verified Sep 22, 2026
Weather integrationIngest or expose weather information for airport operational awareness or planning.
Not Yet Verified
0%confidenceLast verified not recorded

Platform & Governance

API access controlControl API or integration access through documented credentials, permissions or security policies.
Not Yet Verified
0%confidenceLast verified not recorded
Audit trail / activity loggingRecord user, operational or configuration activity for traceability where documented.
Not Yet Verified
0%confidenceLast verified not recorded
Configurable notificationsVirtual APOC documents event-driven alerts. The reviewed public source does not establish the full configurability of alert rules, recipients and thresholds.
Partially Supported
98%confidenceLast verified Sep 22, 2026
Configurable workflowsAmadeus F-RMS explicitly optimizes airport resource plans using customized business rules, weighted KPIs and automated planning, allowing airport-specific rules and objectives to drive operational resource workflows. This capability belongs to the related F-RMS module and does not imply a general-purpose low-code workflow builder in the base AODB.
Supported
100%confidenceLast verified Sep 22, 2026
Data retention / audit governanceGovern retention or auditability of historical operational records where documented.
Not Yet Verified
0%confidenceLast verified not recorded
Mobile / responsive web accessAmadeus AODB can be monitored from laptop, phone or tablet through the mobile application and cloud access model.
Supported
100%confidenceLast verified Sep 22, 2026
Multi-airport operationsAmadeus AODB explicitly works across multiple airports simultaneously and shares flight database updates station-to-station in real time.
Supported
100%confidenceLast verified Sep 22, 2026
Organization / stakeholder permissionsActivity-allocation rules provide role/responsibility-based access for ground handlers. The reviewed source does not establish the full organization/tenant permission model for every stakeholder type.
Partially Supported
99%confidenceLast verified Sep 22, 2026
Role-based access controlControl operational functions and views by documented user or stakeholder role.
Not Yet Verified
0%confidenceLast verified not recorded
Single sign-on / identity federationSupport documented enterprise SSO or identity-provider federation for airport users.
Not Yet Verified
0%confidenceLast verified not recorded

Turnaround & A-CDM

Airport Collaborative Decision Making (A-CDM)Amadeus A-CDM Airport Portal is explicitly positioned as the collaborative decision-making extension to AODB for airport partners.
Supported
100%confidenceLast verified Sep 22, 2026
Apron / airfield operational viewThe A-CDM Airport Portal provides a real-time airfield view for tracking aircraft positions.
Supported
100%confidenceLast verified Sep 22, 2026
Controlled stakeholder accessAmadeus A-CDM Airport Portal explicitly allows controlled access for ground handlers based on duties, roles and responsibilities.
Supported
100%confidenceLast verified Sep 22, 2026
Handler / agent mobile inputThe AODB mobile application allows agents to see assigned flights/tasks and input completion times from their devices, synchronized back to AODB.
Supported
100%confidenceLast verified Sep 22, 2026
Milestone predictionAmadeus AODB explicitly predicts turnarounds from the point flight schedules are received. The reviewed source does not establish prediction for every individual A-CDM milestone.
Supported
99%confidenceLast verified Sep 22, 2026
Pre-departure sequencingSupport departure sequencing or sequencing-related decision support before aircraft off-block.
Not Yet Verified
0%confidenceLast verified not recorded
Target Off-Block Time (TOBT)Amadeus Airport Sequence Manager explicitly provides real-time visibility of Target Off-Block Time (TOBT) supplied by airlines as part of its A-CDM-compliant pre-departure workflow. The source establishes TOBT handling in the related Sequence Manager component, not automatic TOBT calculation by the base AODB.
Supported
100%confidenceLast verified Sep 22, 2026
Target Start-Up Approval Time (TSAT)Amadeus Airport Sequence Manager explicitly and automatically calculates Target Start-Up Approval Time (TSAT) for departing flights using real-time flight and constraint updates. This is a related Amadeus airport-operations component and is not inferred as base-AODB functionality.
Supported
100%confidenceLast verified Sep 22, 2026
Turnaround milestone trackingThe A-CDM Airport Portal provides aggregated status views of operational activities and the mobile app captures task completion times. The reviewed page does not enumerate every standard turnaround milestone.
Partially Supported
99%confidenceLast verified Sep 22, 2026
Turnaround task / activity statusTrack the status of turnaround activities or services contributing to operational readiness.
Not Yet Verified
0%confidenceLast verified not recorded

Pricing & editions

TechSelectAI does not currently have verified public pricing for this product. We do not invent pricing; confirm the current commercial offer with the vendor.

Evidence sources

TechSelectAI separates vendor/product facts from recommendation scoring. These sources support the published product data.

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Amadeus Fixed Resource Management System (F-RMS)

Amadeus · Vendor Documentation · Verified · High confidence · checked Sep 22, 2026

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Amadeus Airport Insights

Amadeus · Vendor Documentation · Verified · High confidence · checked Sep 22, 2026

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Amadeus Virtual Airport Operations Center (APOC)

Amadeus · Vendor Documentation · Verified · High confidence · checked Sep 22, 2026

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Amadeus and Microsoft Virtual Airport Operations Center

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Amadeus for Airports

Amadeus · Vendor Documentation · Verified · High confidence · checked Sep 22, 2026

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Amadeus Airport Operational Data Base (AODB)

Amadeus · Vendor Documentation · Verified · High confidence · checked Sep 22, 2026

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Last reviewed
Sep 22, 2026
Evidence coverage
8 recorded sources
vendor_documentation: 8
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