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MediaTop 10 Best Video Management Software of 2026
Top 10 Video Management Software ranked by features and workflows, with comparisons of MediaValet, Canto, and Bynder for buyers.
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.
MediaValet
Schema-driven video asset metadata model with RBAC and workflow states that the API can automate.
Built for fits when teams need governed video repositories, metadata automation, and API integration across multiple properties..
Canto
Editor pickAPI-driven asset and metadata automation combined with RBAC for governed video library access.
Built for fits when marketing and product teams need governed video libraries with API-driven automation and controlled collaboration..
Bynder
Editor pickConfigurable metadata schema tied to video workflow states, exposed through API for automated approval and synchronization.
Built for fits when marketing operations needs governed video metadata, RBAC, and API-driven workflow automation..
Related reading
Comparison Table
This comparison table maps video management software across integration depth, API and automation surface, and the underlying data model and schema. Each row highlights admin and governance controls such as RBAC, provisioning, and audit log behavior, plus configuration and extensibility options that affect throughput at scale. Readers can use the table to compare integration patterns, governance tradeoffs, and how each platform structures metadata workflows for video assets.
MediaValet
enterprise DAMVideo and media asset management with RBAC, workflows, metadata schemas, storage organization, and automation hooks designed for enterprise governance and audit visibility.
Schema-driven video asset metadata model with RBAC and workflow states that the API can automate.
MediaValet manages the video lifecycle end to end through ingestion, transcription or enrichment workflows, and structured metadata that stays tied to each asset. The data model links assets to versions and publication targets, which helps keep downstream catalogs and channels consistent during updates. RBAC and permission boundaries support separated duties for creators, reviewers, and publishers.
A key tradeoff is that deeper workflow customization and automation require careful schema and configuration planning up front, since automation behavior depends on consistent metadata fields and states. MediaValet fits teams that need governed throughput across multiple properties, like marketing or product content ops, where external systems must stay synchronized through API-driven provisioning.
- +Configurable asset and version data model for consistent metadata across channels
- +API supports provisioning and metadata synchronization to external workflows
- +RBAC supports separated duties for edit, approval, and publish actions
- +Governance oriented configuration reduces accidental changes to published content
- –Workflow automation depends on disciplined metadata schemas and states
- –Advanced configuration requires more admin setup than simple content libraries
- –Complex integrations need schema mapping work to align external systems
Marketing operations teams
Multi-campaign publishing with controlled metadata
Fewer publishing errors across campaigns
Product content teams
Versioned release videos with rights metadata
Cleaner release catalogs
Show 2 more scenarios
Digital asset governance admins
RBAC separated duties and auditability
Stronger access governance
Uses permission boundaries and configuration controls to restrict changes to published assets.
Engineering integration teams
Provisioning and sync with CMS systems
Higher integration throughput
Integrates via API to sync metadata and trigger automation without manual re-tagging work.
Best for: Fits when teams need governed video repositories, metadata automation, and API integration across multiple properties.
More related reading
Canto
DAM platformMedia asset management for video with metadata, DAM governance controls, role-based permissions, and API-based integration for indexing, retrieval, and lifecycle automation.
API-driven asset and metadata automation combined with RBAC for governed video library access.
Canto models media around metadata fields, collections, and asset relations so teams can enforce consistent tagging for video workflows. Integrations and API access support asset import and updates, while automation reduces manual steps for provisioning, rights checks, and distribution handoffs. Governance relies on role-based permissions and granular sharing so internal teams and external collaborators see only authorized videos.
A tradeoff is that teams get the most value when they invest in a stable metadata schema and naming conventions for videos. Canto fits well when video libraries grow quickly and release workflows require controlled access, approval routing, and repeatable automation across marketing, product, and training teams.
- +Metadata schema supports repeatable video organization and retrieval
- +API and integrations enable automated asset ingestion and metadata sync
- +RBAC and permission controls support controlled internal and external access
- +Audit-friendly governance helps track changes in curated media libraries
- –Strong value depends on upfront metadata and taxonomy setup
- –Complex workflows may require configuration to match approval paths
Marketing operations teams
Standardize video tagging and approval
Fewer manual tagging errors
Product enablement teams
Distribute training videos to partners
Reduced access review time
Show 2 more scenarios
Media operations teams
Sync DAM metadata with tools
Consistent library state
Integrates and provisions workflows via API to keep video records aligned across systems.
Compliance and governance owners
Track changes to video assets
Improved accountability
Applies RBAC and audit trails to control who can modify video metadata and sharing.
Best for: Fits when marketing and product teams need governed video libraries with API-driven automation and controlled collaboration.
Bynder
DAM with workflowMedia management with video-ready DAM features, configurable metadata and approvals, RBAC permissions, and an API surface for asset ingestion, syncing, and automation.
Configurable metadata schema tied to video workflow states, exposed through API for automated approval and synchronization.
Bynder maps video items into a configurable data model that includes metadata fields, workflow states, and RBAC permissions, which reduces drift between storage and publishing rules. Video processing covers ingest, transcoding, and channel delivery patterns, with configuration options that align with enterprise content requirements. The automation surface exposes programmable lifecycle operations, which helps teams coordinate approvals and publishing across DAM, CMS, and marketing systems.
A tradeoff is that deeper governance and schema customization can increase setup time and require disciplined configuration management. Bynder fits teams that already rely on cross-system orchestration and need predictable throughput for metadata enrichment, approval routing, and rights checks. A common usage situation is enterprise marketing operations that coordinates many stakeholders across regions and needs audit log evidence for edits and workflow transitions.
- +API supports metadata-driven workflows and schema-aligned automation
- +RBAC and workflow states centralize video governance
- +Extensibility fits integration with CMS, DAM, and marketing systems
- +Audit-friendly lifecycle actions support compliance reviews
- –Schema and workflow configuration increases initial admin overhead
- –Advanced automation often depends on consistent external system mapping
Enterprise marketing operations
Route approvals for localized video variants
Consistent approvals across regions
Digital experience teams
Sync video library with CMS
Fewer broken publishing links
Show 2 more scenarios
Brand governance teams
Enforce metadata and rights rules
Reduced brand and rights drift
RBAC and audit log coverage support controlled edits and traceable workflow transitions.
Content operations engineering
Automate metadata enrichment pipelines
Higher metadata consistency
Automation actions and API calls enable schema-aware enrichment and consistent taxonomy updates.
Best for: Fits when marketing operations needs governed video metadata, RBAC, and API-driven workflow automation.
Brandfolder
DAM for marketing teamsVideo-capable DAM with structured metadata, approval and distribution workflows, granular permissions, and an integration API for provisioning and programmatic access.
Brandfolder workflow-based approvals for video releases with RBAC controls and audit-ready activity tracking.
Brandfolder focuses on managing video assets with brand governance, permissions, and publication workflows. Integration depth centers on connecting Brandfolder to existing systems through its API, webhooks, and embedding options for asset delivery.
The data model supports structured metadata, versioning, and controlled usage so teams can enforce review and release steps. Automation and governance are handled through configurable workflows and admin controls that support RBAC and auditability.
- +API and automation surface supports programmatic provisioning and workflow triggers
- +Role-based permissions support controlled access across brands and projects
- +Workflow-driven publishing reduces uncontrolled video distribution
- +Metadata schema supports structured governance for search and compliance
- –Workflow configuration can require careful upfront schema and taxonomy design
- –Automation throughput depends on webhook and integration design for batch operations
- –Cross-system metadata mapping can be nontrivial without a clear normalization plan
- –Advanced customizations may require deeper implementation work than template workflows
Best for: Fits when brand teams need governed video asset workflows with API-driven integration and RBAC.
Vidispine
archive and automationVideo archive and media management with a documented data model, schema-driven metadata, server-side automation, and APIs for ingest, indexing, and retrieval.
REST API plus metadata schema provisioning for automated ingest-to-publish workflows with RBAC governance.
Vidispine manages ingest, transcoding, indexing, and delivery for large media libraries using a governed metadata data model. It exposes a REST API for automation, including custom workflows, state transitions, and search queries over stored schema fields.
Admin controls support RBAC, task monitoring, and auditability for operational changes. Configuration and extensibility center on metadata schema provisioning and integration via API-driven pipelines.
- +REST API covers ingest, metadata, workflows, and playback delivery endpoints
- +Metadata schema and queries support controlled, structured description fields
- +Automation via jobs, pipelines, and event-driven patterns with consistent identifiers
- +Admin RBAC supports separate roles for ingest, processing, and publishing duties
- –Complex schema and workflow configuration adds setup overhead for smaller teams
- –Automation often requires careful API client implementation and error handling
- –Bulk migration and reindexing can be operationally heavy on large libraries
Best for: Fits when large teams need API-driven media workflows with schema control, RBAC, and auditable admin operations.
Contentful
headless contentContent platform with a flexible content model for video metadata, asset delivery workflows, and API-based automation for provisioning content structures and linking assets.
Spaces and environments with Content Delivery and Content Management APIs enable controlled change workflows for video content models.
Contentful fits teams that need controlled video content modeling with a schema-driven API and repeatable publishing flows. Video assets live alongside related entities, so releases can be assembled from structured fields, references, and media delivery settings.
Its integration depth centers on content types, spaces, environments, and OAuth-backed access, with delivery and management APIs supporting automation and extensibility. Admin governance relies on RBAC roles, audit log visibility, and environment isolation for safer changes across teams and workflows.
- +Schema-driven content model supports video metadata and cross-entity references
- +Management API supports automation for publishing, updates, and workflow states
- +Environment isolation reduces risk when changing video fields and mappings
- +RBAC and scoped tokens support controlled access for teams and services
- –Video-specific workflows depend on custom configuration for complex approvals
- –High-volume throughput needs batching patterns to avoid API rate friction
- –Media processing and delivery constraints require extra planning per environment
- –Modeling releases across many entities can increase content type complexity
Best for: Fits when content teams need schema-driven video metadata, automated publishing, and tight RBAC governance.
Cloudinary
media pipelineProgrammatic media management for video with upload, transformation pipelines, metadata tagging, and APIs that support automation at high throughput and scale.
Programmable webhooks for video processing and delivery events tied to asset identifiers.
Cloudinary differentiates itself with a unified media pipeline that centers on API-driven asset handling and transformation workflows. Its video features sit alongside image, raw, and streaming capabilities, so ingest, processing, and delivery can share one data model and configuration surface.
Cloudinary’s management layer relies on documented APIs for uploads, transformation presets, and delivery settings, which supports automation and repeatable deployments. Governance controls are present through account-level configuration, role-based access options, and event visibility via audit and activity logs.
- +Single API surface for upload, transformations, and delivery configuration
- +Declarative transformation presets reduce custom processing code
- +Versioned assets and derived resources keep source and outputs linked
- +Extensible webhooks support event-driven automation pipelines
- –Video metadata modeling can require careful schema and naming discipline
- –Complex multi-step processing chains need tight version and preset management
- –Granular governance for video jobs depends on role configuration depth
- –High-throughput workloads require deliberate concurrency and throughput tuning
Best for: Fits when teams need API-first video ingest, processing, and delivery automation with shared asset governance.
Mux
video processingVideo infrastructure that manages encoding, playback, and delivery with API-driven workflows and configurable webhooks for operational automation.
Asynchronous webhooks for every ingest and processing stage, enabling stateful automation from a single source of truth.
Video Management Software with deep integration around encoding, delivery, and event-driven control. Mux couples a structured data model with webhooks and APIs that drive automation across upload, processing, and playback states.
Configuration is expressed through programmatic resources for assets and transcoding jobs, with extensibility via custom events. Governance is centered on account-scoped access patterns and operational visibility through webhook delivery and API request auditing in platform tooling.
- +API-first asset and encoding workflow modeled around durable processing states
- +Webhooks provide automation hooks across upload and transcoding lifecycle events
- +Programmatic configuration for transformations and playback readiness checks
- +Clear separation between ingest assets and delivery playback identifiers
- –Operational debugging depends on correlating webhook events with API calls
- –Complex multi-region throughput tuning requires careful pipeline configuration
- –RBAC granularity can feel limited for large orgs with many roles
- –Automation patterns can become state-machine heavy for custom policies
Best for: Fits when teams need API and webhook automation for video processing workflows at scale.
IBM Watson Media (Media Asset Management)
enterprise video opsEnterprise media management capabilities for video workflows with governance controls, automation interfaces, and integration options for asset lifecycle operations.
Watson Media media data model ties ingest metadata, processing state, and workflow steps to API-addressable objects.
IBM Watson Media (Media Asset Management) performs media asset ingestion, metadata management, and governed distribution workflows inside a centralized media data model. It supports integrations via API and automation hooks for programmatic asset lifecycle actions, including schema-bound metadata and processing status tracking.
The governance surface includes RBAC-oriented access boundaries, audit logging, and admin controls for provisioning and workflow configuration. Extensibility is geared toward mapping media objects to a controlled data schema and tying automation steps to that schema.
- +API-first automation for asset lifecycle actions and workflow progression
- +Schema-driven metadata model supports consistent asset classification
- +RBAC-style access boundaries support role-scoped operational control
- +Admin configuration for ingestion, processing, and workflow rules
- –Data model changes require careful schema alignment across systems
- –Workflow extensibility can require developer effort for edge cases
- –Automation throughput depends on pipeline configuration and job design
- –Governance setup needs explicit provisioning and permission hygiene
Best for: Fits when media teams need API-driven automation, schema-bound metadata, and governance controls for asset workflows.
Zapproved
workflow DAMMedia approvals and versioning for video assets with role-based access, audit-oriented workflow controls, and API support for integrating governance into pipelines.
Workflow-centric approval and publishing states with audit logging for each release decision.
Zapproved targets video asset governance with a workflow-driven approval and distribution model for marketing and compliance teams. It focuses on integrating video access and publishing states into a centralized approval flow so teams can control who can publish and what changes require review.
The product centers on an auditable lifecycle with configurable roles, policies, and review steps aligned to an internal data model. Integration depth is delivered through automation hooks and an API surface that supports provisioning and reporting around approvals and asset state.
- +Approval workflow ties video publishing to explicit review steps
- +RBAC-style permissions support controlled access across teams
- +Audit trails capture changes tied to review and release actions
- +API enables automation around asset status and review events
- –Automation depends on consistent internal metadata and naming
- –Complex multi-team workflows require careful configuration
- –Deep reporting may require API-driven extraction for custom views
- –Large libraries can increase operational overhead for governance
Best for: Fits when teams need approval-governed video publishing with auditability, RBAC controls, and API-driven automation.
How to Choose the Right Video Management Software
This guide covers how to choose Video Management Software tools using concrete integration and governance criteria across MediaValet, Canto, Bynder, Brandfolder, Vidispine, Contentful, Cloudinary, Mux, IBM Watson Media (Media Asset Management), and Zapproved. It focuses on integration depth, the underlying data model for assets and workflows, automation and API surface area, and admin and governance controls for RBAC, audit visibility, and configuration safety.
Video management platforms for governed storage, workflows, and API-addressable video lifecycle
Video Management Software centralizes video assets in a governed repository with a structured data model for assets, versions, metadata, and workflow states. These tools reduce uncontrolled publishing and manual metadata work by connecting role permissions, schema-driven fields, and automation hooks that route approvals, ingest steps, and delivery readiness. Tools like MediaValet and Canto show the pattern where metadata schemas and workflow states sit behind an API so external systems can provision assets and synchronize metadata.
Evaluation criteria that map to integration depth, schema control, and governance
Video management selection should match how the team models video in data, how the team automates lifecycle steps, and how admins prevent changes to published content. Tools in this set treat governance as configuration plus permissions plus audit visibility, and they expose integration through documented APIs and event hooks.
Schema-driven video asset metadata model with workflow states
MediaValet, Canto, and Bynder use configurable data models where video metadata fields and workflow states are part of the same governance structure, which keeps approvals and delivery tied to the same schema. This matters because automation and downstream retrieval depend on stable field names, states, and relationships across versions.
API surface for provisioning, metadata sync, and workflow actions
MediaValet, Canto, Bynder, Brandfolder, and Vidispine expose API-driven automation patterns for creating assets, synchronizing metadata, and moving items through ingest-to-publish workflows. This matters when operations must be triggered from external systems that maintain source-of-truth content and campaign metadata.
RBAC and separated duties across edit, approval, and publish
MediaValet and Canto emphasize RBAC that separates duties for editing, approval, and publishing actions. Brandfolder and Zapproved also tie permissions to workflow-driven releases, which keeps review and release decisions constrained to roles tied to specific states.
Admin governance controls and audit-oriented change tracking
MediaValet and Bynder describe governance oriented configuration controls and audit-friendly lifecycle actions that support compliance reviews. Contentful adds audit log visibility with environment isolation so schema and mappings can be changed safely without immediately affecting live content models.
Automation via workflow configuration plus webhook or event hooks
Cloudinary and Mux provide webhook-first automation patterns where processing and delivery events tie back to asset identifiers and stages. Brandfolder, Bynder, and Vidispine also support workflow triggers, but webhook-heavy designs like Cloudinary and Mux reduce custom polling for state changes.
Integration depth through data-model alignment across external systems
Vidispine focuses on REST API coverage for ingest, metadata, workflows, indexing, and retrieval with schema provisioning, which supports deep alignment when external pipelines already use structured identifiers. Contentful and Brandfolder center integration around content modeling primitives like spaces and environments or programmatic provisioning so video entities can be managed alongside related objects.
Decision framework for governed video lifecycles with API-first automation
Start by matching the required governance model to the tool's data model and workflow state design. Then validate that the integration approach fits the team's automation style, either schema-and-workflow driven APIs like MediaValet or event-driven pipelines like Cloudinary and Mux.
Define the governance contract as schema plus workflow states
Write down the concrete video lifecycle states that must be audited, such as Draft, Under Review, Approved, Published, and Archived, then check whether MediaValet, Canto, Bynder, and Zapproved model those states in a way the API can drive. If the process requires explicit approval checkpoints, Zapproved and Brandfolder align approvals with publishing decisions using workflow-centric release controls.
Map automation requirements to the documented API and event surface
For provisioning and metadata synchronization across external systems, prioritize MediaValet, Canto, Bynder, and Brandfolder because their API-driven automation is described as supporting provisioning, metadata sync, and workflow routing. For asynchronous processing and stage-by-stage automation, prioritize Cloudinary or Mux because webhooks cover upload, processing, and playback readiness events tied to asset identifiers.
Stress-test the data model against taxonomy and metadata normalization
If teams need repeatable retrieval, search, and routing based on metadata, Canto and MediaValet emphasize metadata schema discipline and repeatable organization tied to schema fields. If the organization model spans many related entities, Contentful supports schema-driven content modeling with environments so video fields and mappings can evolve without immediate breakage.
Confirm RBAC granularity and admin controls for configuration safety
If separated duties are required for edit versus approval versus publish, MediaValet and Canto tie RBAC to these actions. If environment isolation and audit log visibility are required for safe configuration changes, Contentful adds spaces and environments with RBAC roles and audit logs.
Validate operational throughput and batch behavior for large libraries
For very large media libraries with operational visibility during batch ingest and processing, Vidispine adds REST API coverage for ingest, indexing, workflows, and task monitoring with RBAC. If workload is dominated by transformation chains, Cloudinary and Mux provide programmable transformation presets and webhook-driven event handling, but they require careful version and preset management.
Check extensibility path from schema mapping to workflow edge cases
If integrations require schema mapping between external systems and the video repository, MediaValet and Bynder require careful alignment work because automation depends on disciplined metadata schemas and naming conventions. If the system requires custom state-machine-like policies, Mux can become state-machine heavy for custom policies, while Vidispine supports custom workflows through REST API-driven state transitions and schema control.
Which video lifecycle teams get the most governance and automation control
Different teams need different combinations of schema control, workflow approvals, and automation surfaces. The best fit depends on whether the core work is governed publishing, processing pipeline automation, or schema-driven content modeling across systems.
Marketing and product teams running governed video libraries with controlled collaboration
Canto and Bynder fit teams that need metadata schema organization plus API-driven ingestion and lifecycle automation with RBAC permissions that gate access. These tools align video governance with structured approval and routing so collaboration stays tied to schema states.
Enterprise media teams that need schema-driven metadata consistency and cross-property API automation
MediaValet fits governed repositories where consistent metadata across channels and versions matters, and where provisioning and metadata synchronization must be automated through an API. It also targets admin governance with configuration controls and audit-oriented change tracking.
Brand teams requiring workflow-based video release approvals across brands and projects
Brandfolder fits brand governance that relies on workflow-driven publishing with RBAC controls and audit-ready activity tracking for releases. It also supports API and webhook-style integration surfaces to trigger workflow steps from external systems.
Video infrastructure teams executing encoding, delivery, and stage-by-stage automation at scale
Mux and Cloudinary fit teams that need API-first workflows with webhooks for asynchronous processing stages and delivery events. They model processing stages with durable identifiers and require careful concurrency and preset or transformation management.
Content and experience teams building schema-driven video metadata models tied to structured entities
Contentful fits teams that must model video metadata alongside related entities using a schema-driven API with environment isolation. Its spaces and environments support safer configuration changes for video mappings while RBAC and audit logs keep governance tied to content model changes.
Governance and integration pitfalls that cause rework in video management rollouts
Common failures come from mismatching the tool's data model to how metadata and states are owned, or from underestimating integration and schema mapping work. Other failures come from assuming approvals are automatic without enforcing workflow-driven publishing permissions and audit visibility.
Treating metadata schemas as a one-time setup instead of a governance contract
MediaValet and Canto require disciplined metadata schemas because workflow automation depends on schema states and consistent field usage. Build and test the taxonomy and state mapping before relying on automated routing through the API.
Choosing webhook-heavy automation without a clear event correlation strategy
Mux and Cloudinary provide asynchronous webhooks across processing and delivery stages, but operational debugging requires correlating webhook events with API calls and identifiers. Design webhook consumers and logging around durable asset identifiers before scaling event volume.
Relying on role separation without aligning RBAC to workflow states
MediaValet, Canto, and Brandfolder tie separated duties to governance actions, and RBAC that ignores workflow states leads to policy gaps. Map roles to concrete actions like edit, approve, publish, and version release so permissions match workflow transitions.
Configuring workflows for complex approvals without planning for admin overhead
Bynder and Brandfolder require upfront schema and workflow configuration for complex approval paths, and the admin setup cost increases with workflow complexity. Start with a minimal state machine and expand after schema and approvals match real publishing behavior.
Assuming content modeling will stay stable across environments and mappings
Contentful includes spaces and environments to reduce risk when changing video fields and mappings, but teams still need a clear modeling strategy for cross-entity release structures. If release assembly depends on many content types, build governance around content type complexity and references before production.
How we selected and ranked these video management tools
We evaluated MediaValet, Canto, Bynder, Brandfolder, Vidispine, Contentful, Cloudinary, Mux, IBM Watson Media (Media Asset Management), and Zapproved on features, ease of use, and value using the reported capability coverage and the documented strengths and limitations in each tool's review record. Features carried the most weight at forty percent, while ease of use and value each accounted for thirty percent in the overall rating that produced the final ordering.
The ranking prioritized integration depth through API and automation surfaces, especially schema-driven metadata models plus workflow state control and the ability to provision or synchronize assets from external systems. MediaValet separated itself by combining a schema-driven video asset metadata model with RBAC and workflow states that the API can automate, which lifted the features score and reinforced governance control compared with tools that focus more narrowly on media processing or content modeling.
Frequently Asked Questions About Video Management Software
How do MediaValet and Vidispine differ in schema control for large video libraries?
Which tools provide automation via APIs and webhooks for ingest to publication workflows?
How do Canto and Zapproved handle RBAC and audit trails for publishing approvals?
What integration approach works best when systems must provision assets and keep metadata synchronized?
How do Contentful and Content platforms handle environments and controlled publishing for video-centric content?
Which products support extensibility through custom workflows or event-driven processing stages?
What data migration steps typically apply when moving from spreadsheets or legacy repositories into a governed video data model?
How do Cloudinary and Mux differ in how processing settings and transformation logic are controlled?
Which tool fits teams that need video management integrated with a broader asset governance system?
Conclusion
After evaluating 10 media, MediaValet 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.
cloudinary.comReferenced in the comparison table and product reviews above.
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