GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 10 Best Management Task Software of 2026
Ranked comparison of Management Task Software for project and task management teams, covering tools like Microsoft Project, Jira, and Asana.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Microsoft Project
Baseline capture and variance reporting across tasks, resources, and schedule rollups.
Built for fits when PMO teams require baseline control and schedule governance across Microsoft-centric environments..
Jira Software
Editor pickWorkflow Designer supports transition conditions, validators, and post-functions at the data model level.
Built for fits when governance-heavy workflow control and deep Jira integration are required across many projects..
Asana
Editor pickAutomation rules that update task fields and assignees on specific triggers and lifecycle events.
Built for fits when mid-size teams need integration-driven workflow automation with schema-based reporting control..
Related reading
Comparison Table
This comparison table maps management task software across integration depth, data model choices, automation and API surface, and admin and governance controls such as RBAC and audit log support. Each row summarizes how tools handle schema, extensibility, configuration, and provisioning so teams can assess throughput and automation patterns without side effects.
Microsoft Project
enterprise planningProject portfolio management and schedule planning with task tracking, resource management, and dependency-based critical path reporting.
Baseline capture and variance reporting across tasks, resources, and schedule rollups.
Microsoft Project’s core data model centers on tasks, resources, assignments, dependencies, calendars, and baselines, so schedule changes propagate through critical path and variance calculations. The product supports baseline capture and comparison workflows that track planned versus actual progress at both task and rollup levels. Integration depth comes from tight alignment with Microsoft 365 identity and from export and reporting paths that feed downstream tooling.
A key tradeoff is that full automation often depends on desktop workflow plus external integration for orchestration, so large-scale task updates may require an external scheduler or ETL pipeline. This fits best when project managers need repeatable schedule controls and when PMO teams require structured baselines, assignment data, and reporting artifacts to share across tools. It is less ideal for teams that require headless, API-first project creation at high throughput without desktop involvement.
- +Task, resource, and dependency data model with baseline variance tracking
- +Works with Microsoft 365 identity controls for consistent access patterns
- +Clear schedule logic propagation across critical path calculations
- +Supports extensibility options for project templates and workflow customization
- –Automation depth for programmatic updates often needs external orchestration
- –Schema mapping is more work when integrating non-Microsoft project systems
- –Admin governance spans multiple Microsoft surfaces instead of one project console
- –High-throughput integrations can be constrained by workflow and tooling boundaries
Best for: Fits when PMO teams require baseline control and schedule governance across Microsoft-centric environments.
Jira Software
issue trackingWork management for task execution with issue tracking, workflows, agile boards, and automation that ties tasks to delivery status.
Workflow Designer supports transition conditions, validators, and post-functions at the data model level.
Jira Software fits teams that need governance-grade workflow control and traceable state transitions across many projects. The data model ties an issue schema to workflow transitions, screen configurations, and field-level visibility, which makes consistency possible during onboarding and migration. Integration depth is driven by REST APIs, app extensibility, and event delivery for automation triggers.
A concrete tradeoff appears when throughput and schema complexity grow together, because custom workflows and field sets increase configuration and testing effort. Jira works well when management tasks require structured statuses, approvals, and cross-team reporting, such as portfolio roadmaps and incident-to-task follow-ups. It is also a strong fit when external tooling must push work updates and read changes with predictable API contracts.
Administration and governance depend on project permissions, global roles, and audit-friendly change history stored on issues. Automation rules can react to field changes, transitions, and scheduled conditions, which reduces manual queue management. Extensibility covers both configuration-time patterns and code-driven integrations that react to Jira events.
- +Configurable issue schema ties workflows, fields, and screens to project data model
- +REST API and webhooks support programmatic work creation and event-driven integrations
- +Automation rules react to transitions and field changes without custom code
- +RBAC and project permissions support controlled visibility and edit rights
- +Admin controls separate configuration privileges from day-to-day contributors
- –Workflow and field customization increases configuration and QA effort
- –Complex automation graphs can become hard to reason about at scale
- –Cross-project reporting depends on consistent taxonomy and careful schema design
- –Some advanced behaviors require apps or custom integration logic
Best for: Fits when governance-heavy workflow control and deep Jira integration are required across many projects.
Asana
work managementTeam task management with projects, task dependencies, timeline views, and workflow automation for operational execution.
Automation rules that update task fields and assignees on specific triggers and lifecycle events.
Asana’s data model centers on tasks and projects with typed custom fields, assignees, due dates, and dependencies that can be queried and updated through the API. Project views, including timeline and board representations, reflect the same underlying schema so automation changes propagate across views. Integration depth is driven by a broad connector ecosystem plus direct API usage for systems that need throughput and deterministic state changes. Extensibility comes from webhooks and automation rules that react to task lifecycle events and field edits.
A concrete tradeoff is that complex, cross-entity automation often requires careful schema planning for custom fields and consistent naming across projects. Field-level governance and automation scopes can become hard to manage when hundreds of projects are provisioned dynamically. A common usage situation is managing operational work across departments where integrations sync ticket state, create tasks from events, and keep reporting metrics aligned through shared field definitions.
Admin and governance controls include RBAC-style permissioning for projects and teams, along with audit capabilities for collaboration changes. Configuration needs discipline when multiple groups share templates or when automation writes to shared fields used in reporting. Extensibility stays practical when workflows can be expressed as field updates and state transitions rather than deep domain logic inside Asana.
- +Configurable task and project data model with typed custom fields
- +Automation rules can trigger on lifecycle events and field changes
- +API and integrations support deterministic updates across external systems
- +Webhook-based extensibility for event-driven synchronization
- +Project and team permissions enable RBAC-style governance
- –Complex cross-project automation needs schema discipline and naming consistency
- –Automation scopes can be difficult to trace at large project counts
- –Deep domain logic often lives outside Asana instead of inside workflows
- –Reporting accuracy depends on consistent field usage across projects
Best for: Fits when mid-size teams need integration-driven workflow automation with schema-based reporting control.
monday work management
workflow boardsCustomizable task workflows with boards, automations, and dashboards for managing operational work at scale.
Board-level column schema that automation and API operations reference for consistent state and reporting.
monday.com provides a configurable work management data model where tasks, fields, and relationships become a schema that automation and reporting can reference. Its integration depth is driven by a broad automation builder plus connectors and a public API that supports custom apps and external system synchronization.
Automation coverage includes rule-based triggers on item changes, schedules, and status transitions, with throughput governed by workspace settings and execution context. Admin and governance controls focus on workspace-level access, RBAC for users and collaborators, and audit visibility through admin tools for configuration and changes.
- +Highly configurable item data model with field types and cross-item relations
- +Extensive automation rules for status, updates, and scheduled checks
- +Public API supports CRUD operations and custom app integrations
- +RBAC-style permissions control access to boards, items, and views
- +Admin controls include workspace settings and change visibility tools
- –Complex schemas can be harder to maintain across many interrelated boards
- –Automation logic can grow unwieldy without strict naming and governance
- –High workflow throughput can surface latency in automation execution
- –API-driven workflows require careful mapping of field IDs and types
- –Admin configuration and permission boundaries can take time to validate
Best for: Fits when teams need schema-driven work management with API integrations and rule automation control.
ClickUp
task executionTask and project execution with customizable statuses, views, recurring tasks, and reporting for team-level operations.
Automation rules that trigger on task events to update fields, assignees, and statuses.
ClickUp turns work requests into tracked tasks, then links them into dashboards, views, and cross-project reporting. Its data model supports custom fields, statuses, spaces, and subtasks so teams can treat workflows as a configurable schema.
The automation layer drives state changes, assignments, reminders, and cross-object updates, while the API enables bulk operations, webhooks, and programmatic synchronization. Admin controls cover user and space permissions, with governance features that support auditability for workspace activity.
- +Configurable schema via custom fields, statuses, and task templates
- +Automation rules cover triggers, assignments, and field updates
- +API supports programmatic task, list, and status operations
- +Nested tasks and dependencies fit multi-step delivery workflows
- +Extensive view types support reporting across spaces
- –Complex setups can create inconsistent workflows across spaces
- –Automation rules require careful testing to avoid cascading edits
- –RBAC boundaries can feel coarse for tightly separated org units
- –Deep customization increases maintenance overhead for schemas
- –High-volume automation may be harder to reason about without logs
Best for: Fits when teams need configurable task schemas plus automation and API-driven integrations.
Wrike
managed workflowWork management with task execution, custom workflows, proofs, and analytics for managing delivery and approvals.
Wrike API plus webhooks enable automated status updates and bidirectional integration workflows.
Wrike fits teams that need task execution with tight cross-system linkage and controlled change. Its data model supports work items, folders, custom fields, and structured reporting like dashboards and workload views.
The platform exposes an API surface for automation and external tooling, including webhooks for event-driven sync and workflow updates. Admin controls cover permissioning and governance needs such as RBAC and audit visibility for changes across projects and spaces.
- +API and webhooks support event-driven sync with external systems
- +Granular RBAC and project-level permissions reduce cross-team access risk
- +Custom fields and structured reporting map to stable operational schemas
- +Automations cover recurring workflows without manual status management
- –Complex setups require careful schema planning for consistent automation
- –Some governance changes take planning to avoid breaking downstream integrations
- –High customization can increase configuration and change-management overhead
- –Automation logic needs documentation to prevent workflow drift
Best for: Fits when management tasks must stay synchronized across tools with controlled permissions.
Trello
kanbanKanban-based task management with boards, cards, checklists, and lightweight automation for continuous operational tracking.
Butler automation rules that trigger on card actions and perform multi-step updates.
Trello’s data model centers on boards, lists, and cards, which maps cleanly to operational workflows without requiring a custom schema. Its automation is driven through Butler rules that trigger on card events and can update fields, move cards, and create tasks across boards.
The integration surface is broad through Power-Ups, and it includes documented webhooks and a REST API for reading and updating cards, lists, and board memberships. Governance relies on Workspace settings and role-based access controls, while audit logging and admin controls remain less granular than in tools built around formal task objects.
- +Card list movement mirrors workflow states with minimal configuration
- +Butler supports event-driven rule automation for card actions
- +REST API covers boards, lists, and cards for programmatic task updates
- +Webhooks enable push notifications for card and board changes
- +Power-Ups connect external systems through add-on configuration
- –Complex dependencies across workstreams need custom patterns
- –Automation rules stay mostly within card lifecycle and metadata
- –Admin controls are lighter than RBAC models with audit-log depth
- –Data model limits structured schema for strict governance needs
Best for: Fits when teams need visual workflow automation with API integrations across boards.
Linear
engineering taskingDeveloper-focused task management with issue tracking, sprints, and integrations that tie work items to engineering delivery.
Webhooks on issue and project events with a documented API for bidirectional sync.
Linear structures work around a focused issue data model with first-class projects, teams, and relationships. The integration depth centers on a documented API and webhooks that connect issues, comments, and state changes to external systems.
Automation is driven through issue state, workflow rules, and API-driven operations that support controlled throughput. Admin and governance controls cover RBAC, audit logging, and workspace settings that constrain who can change schema-adjacent behavior.
- +API and webhooks cover issues, comments, and workflow state changes
- +Strong data model links issues, users, teams, and projects consistently
- +Automation works through state transitions and API-driven updates
- +RBAC restricts access by role at the workspace level
- +Audit logging supports change tracking for administrative actions
- –Workflow automation can require API-based actions for complex orchestration
- –Bulk operations need careful rate and consistency handling for large backfills
- –Cross-system governance depends on external tooling for end-to-end audit context
Best for: Fits when teams need controlled task workflows with deep API integrations.
Notion
database workspacesDatabase-backed task management with relational views, rollups, templates, and permissioned project execution.
Databases with custom schema plus relations power structured task status tracking and rollups.
Notion manages work using databases and pages, then ties tasks to structured fields, owners, and statuses inside a shared workspace. Its data model supports custom schemas, views, relations, and embedded documents, which makes management task tracking behave like a lightweight application layer.
Integration depth depends heavily on third-party connectors, while automation relies on documented APIs and webhooks patterns that route changes between systems. Admin and governance controls center on workspace settings, role-based access control, and audit logs for activity visibility across spaces.
- +Database schemas define task fields, relations, and filtered views
- +API supports extensibility for syncing data and creating items
- +RBAC controls workspace access down to space level
- +Audit logs track user activity for governance reviews
- +Embedded permissions and page-level settings support granular collaboration
- –Automation requires external tooling for multi-step workflows
- –API coverage varies by object type and can limit full lifecycle automation
- –Throughput for bulk updates depends on request patterns and rate limits
- –Cross-team governance becomes complex with many overlapping spaces
- –Long-running workflow logic is not natively modeled inside Notion
Best for: Fits when teams need schema-driven task tracking with moderate automation and controlled collaboration.
Smartsheet
sheet-based PMSpreadsheet-driven task tracking with project plans, dashboards, and structured reporting for operational work management.
REST API plus Smartsheet automation rules for programmatic sheet updates and workflow triggers.
Smartsheet fits organizations that need work management with a governed, spreadsheet-like data model backed by structured sheets, forms, and dashboards. It supports integration depth through connectors, webhook-style automation patterns, and a documented REST API for CRUD operations across records, sheets, and reporting artifacts.
Automation and extensibility work through Smartsheet’s rule-driven triggers and scriptable API flows, with clear configuration boundaries for repeatable task operations. Admin control centers on workspace and sheet-level permissions, with audit log visibility for configuration and activity tracking.
- +Spreadsheet-grade data model with typed columns and reportable record relationships
- +Documented REST API supports automation for sheet and report object operations
- +Automation rules handle status, assignment, and notification workflows at scale
- +Workspace and sheet permissions support RBAC-style access segmentation
- +Audit log records key activity for governance and troubleshooting
- –Automation throughput depends on workspace configuration and trigger volume
- –Large schema changes can require careful migration across dependent reports
- –Complex cross-sheet relational modeling is less flexible than full database schemas
- –Admin governance relies on correct permission inheritance and provisioning discipline
Best for: Fits when teams need governed task workflows with API-driven automation and spreadsheet-structured records.
How to Choose the Right Management Task Software
This buyer's guide covers Microsoft Project, Jira Software, Asana, monday work management, ClickUp, Wrike, Trello, Linear, Notion, and Smartsheet for management task planning, execution, and workflow automation.
The sections below map selection criteria to each tool’s concrete data model, integration patterns, API or webhook automation surface, and admin governance controls for RBAC and audit logging.
Management task tools that model work objects, states, and execution governance
Management task software turns tasks into structured work objects that can be scheduled, assigned, reviewed, and reported through a defined data model. These tools connect lifecycle state changes to automation rules and external systems through APIs and webhooks so work stays synchronized across platforms.
Microsoft Project fits PMO teams that need baseline capture and variance reporting across tasks, resources, and schedule rollups with Microsoft-centric identity and governance controls. Jira Software fits teams that need governance-heavy workflow control via configurable issue schemas, workflow designer transition conditions, and RBAC with audit-ready change history.
Evaluation criteria for integration depth, data model, and governance control
Integration depth matters because management workflows rarely stay inside one app. Jira Software uses REST APIs and webhooks for event-driven work creation and integration. Linear also centers on a documented API and webhooks tied to issue and project events.
Data model and governance control determine how reliably automation can update fields at scale and how safely access can be restricted. Microsoft Project ties schedule logic to critical path calculations and baseline variance reporting. monday work management and Asana focus on schema-driven boards or tasks with RBAC-style permissions and admin controls that separate configuration privileges from day-to-day contributors.
Automation rules tied to lifecycle events and state transitions
Asana automation rules can trigger on lifecycle events and field changes to update task fields and assignees. Trello’s Butler rules trigger on card actions and perform multi-step updates across boards, while Jira Software can enforce transition conditions, validators, and post-functions in workflow design.
Documented API and webhook-driven extensibility for bidirectional sync
Wrike pairs an API surface with webhooks to run automated status updates and bidirectional integration workflows. Linear exposes webhooks on issue and project events with a documented API to support controlled bidirectional synchronization. monday work management and ClickUp also support public API CRUD operations and event-driven automation.
Stable work data model or schema that automation can reference
monday work management uses board-level column schemas that automation and API operations reference for consistent state and reporting. ClickUp builds a schema from custom fields, statuses, and task templates so automation can update task attributes deterministically. Notion uses databases with custom schema, relations, and rollups to keep structured status tracking inside relational views.
Admin governance with RBAC and audit visibility across work scopes
Jira Software separates configuration privileges from contributors using admin settings and RBAC for permissions and visibility. Wrike includes granular RBAC and project-level permissions with audit visibility for governance and troubleshooting. Microsoft Project uses Azure Active Directory backed access control with tenant-level audit and compliance features.
Throughput-aware integration boundaries and orchestration fit
Microsoft Project can handle schedule logic and baseline variance reporting, but high-throughput programmatic updates may require external orchestration due to workflow and tooling boundaries. ClickUp exposes APIs and webhooks for bulk operations, but automation cascades require careful testing and logging to prevent cascading edits. Smartsheet’s automation throughput depends on workspace configuration and trigger volume for sheet and report workflows.
Schema governance discipline to keep cross-project reporting accurate
Asana reporting accuracy depends on consistent field usage across projects because automation and reporting rely on shared objects and fields. Jira Software depends on consistent taxonomy and schema design for cross-project reporting. monday work management requires strict naming and governance to prevent automation logic from growing unwieldy across many related boards.
A control-depth decision path for task automation, API sync, and admin governance
Start by matching the work object model to the execution style. Microsoft Project is schedule-first with baseline variance tracking and dependency-based critical path reporting. Jira Software and Asana model work as configurable issue or task objects with workflow or lifecycle driven automation.
Next validate integration and governance capabilities using the automation and API surface, not only UI workflows. Tools like Linear, Wrike, and Smartsheet emphasize documented REST APIs and webhooks for external automation. Then confirm admin controls cover configuration separation, RBAC boundaries, and audit log visibility for the scopes that matter.
Align the core data model with the work you need to govern
If schedule baselines and critical path calculations drive management reporting, Microsoft Project fits because it captures baselines and reports baseline variance across tasks, resources, and schedule rollups. If work execution needs configurable issue schemas and workflow rules, Jira Software fits because its workflow designer supports transition conditions, validators, and post-functions at the data model level.
Map automation logic to the tool’s event model and rule execution style
For field updates driven by lifecycle events, Asana supports automation rules that update task fields and assignees on triggers and lifecycle changes. For state-driven multi-step execution inside a visual workflow, Trello’s Butler rules trigger on card actions and perform multi-step updates across boards.
Validate the API and webhook surface for bidirectional integration
For bidirectional status synchronization, Wrike exposes webhooks plus an API surface that supports automated status updates and integration workflows. For issue and project event sync aimed at external systems, Linear provides webhooks and a documented API to connect issues, comments, and state changes.
Confirm RBAC scope and audit visibility cover configuration and operations
Jira Software separates configuration privileges from day-to-day contributors and applies RBAC with audit-ready history fields. Microsoft Project uses Azure Active Directory backed access control with tenant-level audit and compliance features that align to enterprise governance patterns.
Plan schema governance so cross-project reporting does not drift
If tasks span multiple projects, Asana and ClickUp require consistent field usage or schema discipline because cross-project automation and reporting depend on the same field conventions. If dashboards and reporting must stay consistent across many boards, monday work management depends on stable board column schemas that automation and API operations reference.
Stress-test automation orchestration for high-volume updates
If external orchestration will be part of the design, Microsoft Project can constrain high-throughput programmatic updates through workflow and tooling boundaries. If high-volume automation is expected, Smartsheet and ClickUp require careful validation of trigger volume, logging, and rule execution to prevent cascading edits or throughput bottlenecks.
Which teams get control depth from these management task platforms
Management task software fits teams that must convert work plans into structured execution artifacts with controlled state changes and reporting. The best fit depends on whether governance centers on schedules, workflows, schemas, or spreadsheet-like record structures.
Each segment below maps to a tool that matches the stated needs for integration breadth, automation surface, and admin control depth.
PMO and enterprise schedule governance teams inside Microsoft ecosystems
Microsoft Project fits because baseline capture and variance reporting link schedule data to critical path logic and Microsoft 365 identity controls via Azure Active Directory backed access control.
Governance-heavy work tracking across many teams with strict workflow control
Jira Software fits because its workflow designer supports transition conditions, validators, and post-functions with RBAC and audit-ready history fields for admin governance.
Mid-size operations teams that need schema-driven automation across systems
Asana fits because its configurable task and project data model supports typed custom fields with automation rules that update task fields and assignees via triggers and lifecycle events.
Teams that need schema-first work management with a public API for custom apps
monday work management fits because its board-level column schema is referenced by automation and API operations, which supports consistent state and reporting across interconnected boards.
Engineering-aligned teams that prioritize documented API and webhooks for controlled sync
Linear fits because it uses a documented API and webhooks for issue and project event synchronization with RBAC and audit logging for administrative actions.
Management task implementation pitfalls that break automation, sync, or governance
A common failure mode is choosing a tool whose automation depends on schema conventions that the organization does not enforce. Asana reporting accuracy depends on consistent field usage across projects. ClickUp automation can cascade edits if rules are not carefully tested and governed.
Another failure mode is selecting based on UI workflows while ignoring API and audit boundaries. Wrike’s governance and synchronization require planning so governance changes do not break downstream integrations. Jira Software’s workflow and field customization increases configuration and QA effort and can make complex automation graphs harder to reason about at scale.
Treating UI workflow as a replacement for schema governance
Asana and ClickUp rely on consistent typed custom fields and schema discipline so automation triggers and reporting stay accurate across projects and spaces. monday work management requires stable board column schema conventions so API-driven and automation-driven updates reference the same state.
Building event automation without verifying audit and RBAC scope
Jira Software separates configuration privileges and applies RBAC with audit-ready history fields, which is essential when multiple roles create and change workflows. Wrike also requires planning for RBAC and audit visibility so governance reviews can track configuration and operational changes.
Assuming bidirectional integration works without orchestration or throughput planning
Microsoft Project can handle baseline variance reporting and critical path logic, but high-throughput programmatic updates often need external orchestration due to workflow and tooling boundaries. Smartsheet automation throughput depends on trigger volume and workspace configuration, which can slow automation at scale if trigger patterns are not controlled.
Letting automation complexity grow faster than team understanding
Jira Software automation graphs can become hard to reason about when workflow and field customization increases at scale. monday work management can become unwieldy without strict naming and governance, which increases the chance of automation drift across related boards.
Using a shallow data model for strict governance requirements
Trello’s card-centric model stays lightweight and its admin controls are less granular than RBAC models with deeper audit-log depth. For strict governance needs with stable schema references and consistent state, Jira Software, monday work management, and Wrike offer more formal work schemas and permissioning controls.
How We Selected and Ranked These Tools
We evaluated Microsoft Project, Jira Software, Asana, monday work management, ClickUp, Wrike, Trello, Linear, Notion, and Smartsheet using three scored criteria across features coverage, ease of use, and value. Features carry the most weight since automation and integration depth are the mechanics that drive day-to-day operations. Ease of use and value each receive equal influence because administration friction and long-term operability affect rollout success.
Microsoft Project stood apart because it combines baseline capture and variance reporting across tasks, resources, and schedule rollups with dependency-based critical path reporting. That capability lifted both the features and ease-of-use factors by tying governance-grade schedule control to a data model designed for enterprise project management.
Frequently Asked Questions About Management Task Software
Which platform supports schema-driven task tracking with field-level reporting control?
How do Jira Software and Linear handle API-based bidirectional sync without manual status updates?
What differences matter for SSO and access governance across these tools?
Which tool makes large-scale workflow automation easiest to keep consistent across projects?
Which platform is best for migrating existing schedules and baselines into task management?
What admin controls exist for controlling who can change configuration and workflows?
Which tool supports event-driven updates via webhooks and automation together?
Which platform is strongest for cross-system workload views and structured reporting beyond basic tasks?
What is the most practical way to start when the organization needs teams, tasks, and relationships mapped into a single data model?
Which tool is better for teams that want to drive automation through a focused issue lifecycle rather than broad card actions?
Conclusion
After evaluating 10 data science analytics, Microsoft Project stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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