GITNUXSOFTWARE ADVICE
Consumer RetailTop 10 Best Promotional Products Order Management Software of 2026
Ranked roundup of Promotional Products Order Management Software for screen printers and promo distributors, comparing Printavo, Celerant, inRiver.
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%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Printavo
Artwork and approval checkpoints tied to configured line items and supplier-ready status transitions.
Built for fits when mid-size teams need order automation with supplier handoffs and controlled governance..
Celerant
Editor pickAPI-driven workflow automation tied to order, item, and production status objects.
Built for fits when teams need API-based automation and governance for promotional order lifecycles..
inRiver
Editor pickSchema-driven product data model with attribute and hierarchy governance.
Built for fits when product data governance and API automation must stay consistent across channels..
Related reading
Comparison Table
The comparison table maps promotional products order management software across integration depth, each tool’s data model and schema, and the automation plus API surface used for provisioning. It also contrasts admin and governance controls such as RBAC, audit log coverage, and configuration patterns that affect extensibility and throughput for SKU and order workflows.
Printavo
production workflowProvides production workflow and order management with integrations to e-commerce and fulfillment systems for promotional and custom print orders.
Artwork and approval checkpoints tied to configured line items and supplier-ready status transitions.
Printavo’s core workflow ties customer requests to line-item configuration, artwork checkpoints, and supplier handoffs, so order state stays consistent across teams. The integration depth is strongest when connected systems need structured order and event data, because the automation surface can drive provisioning, updates, and downstream actions. Automation works best for repeatable steps like approval gates, status transitions, and task assignment by product type.
A key tradeoff appears in customization depth, because complex bespoke processes may require configuration that mirrors Printavo’s workflow schema rather than free-form modeling. Teams with high SKU churn benefit from the schema-based approach when consistent item attributes and deadlines map cleanly to approvals and production tasks. Usage is less efficient when ordering processes vary radically per client, because schema alignment becomes the recurring cost.
Governance is reinforced through admin and RBAC controls that restrict actions like edits, approvals, and supplier communications. Auditability supports operational review of what changed and when, which reduces reconciliation work for busy production and customer success teams.
- +Quote to supplier handoff workflow keeps order state consistent
- +Structured data model links items, artwork, approvals, and production events
- +API-driven automation supports provisioning and event-driven updates
- +RBAC and audit log support controlled edits and operational traceability
- –Customization for highly unique per-customer workflows can require schema-aligned configuration
- –Complex integrations need careful data mapping to match Printavo line-item attributes
Promotional ops teams
Route approvals and production tasks by line
Fewer handoff errors
Integrations and RevOps
Sync orders and events across systems
Lower manual reconciliation
Show 2 more scenarios
Production managers
Track deadlines and supplier readiness
More predictable throughput
Order state reflects production progress tied to artwork and variant configuration.
Sales ops and customer success
Control customer-facing changes and approvals
Safer order governance
RBAC and audit logs limit who can change orders and record approval activity.
Best for: Fits when mid-size teams need order automation with supplier handoffs and controlled governance.
More related reading
Celerant
retail OMSOffers retail order management and merchandising workflows with catalog and checkout data models designed for customization and promotional sales channels.
API-driven workflow automation tied to order, item, and production status objects.
Celerant fits buyers who need end-to-end control from quote to production handoff with fewer manual steps. Catalog ingestion, product sourcing, and job status updates connect through a structured data model that supports consistent order schemas across channels. Automation is strongest where throughput depends on rules, field mappings, and repeatable provisioning.
A tradeoff appears when teams expect fully custom logic without schema design time because automation and API usage rely on aligning to Celerant’s object model. Celerant works best for multi-user operations where RBAC boundaries, change tracking, and API surface area reduce errors across internal sales, sourcing, and customer support.
- +API and integration surface supports automated order and status workflows
- +Structured data model keeps order schemas consistent across operations
- +RBAC and audit log style visibility supports governance across teams
- +Automation rules reduce manual handoffs during quote-to-ship cycles
- –Deep customization requires schema alignment and mapping effort
- –Automation setup can increase admin configuration workload
Operations and production coordinators
Automate status updates to customers
Fewer status calls
Integrations and systems teams
Provision orders from external systems
Lower manual data entry
Show 2 more scenarios
Sales leadership teams
Control quote-to-order lifecycle edits
Improved compliance
RBAC and audit visibility restrict modifications and record lifecycle changes for review.
Customer support teams
Self-serve order visibility requests
Faster resolution
Consistent order data and controlled access reduce back-and-forth on order state and item details.
Best for: Fits when teams need API-based automation and governance for promotional order lifecycles.
inRiver
product data orchestrationManages product data and variant models that feed promotional catalog ordering workflows with API-driven synchronization to commerce systems.
Schema-driven product data model with attribute and hierarchy governance.
inRiver organizes product information around a structured data model with schemas for attributes, variants, and merchandising context that can be mapped to channel requirements. Integration uses API-driven data operations and automation hooks so catalog changes can propagate predictably to order-related systems. Admin governance is oriented around controlling configuration and limiting changes through permissioning patterns.
A tradeoff appears in the implementation effort because the data model and mapping choices determine long-term throughput and downstream compatibility. inRiver fits best when multiple channels and downstream systems depend on consistent product attributes and when data governance needs to be enforced across teams.
- +Attribute and variant data model supports channel-specific mapping
- +API-driven data operations for product and order-facing workflows
- +Admin configuration supports RBAC-style permission boundaries
- +Governed schemas reduce downstream catalog inconsistency risk
- –Schema and mapping design increases upfront implementation complexity
- –Complex integrations can require careful alignment of data contracts
Digital merchandising teams
Keep attribute rules consistent across channels
Fewer catalog attribute mismatches
Ecommerce integration teams
Sync product data to storefront and ERP
Lower integration drift
Show 2 more scenarios
Product data governance teams
Enforce who can change attributes
Stronger change auditability
Apply permissioning and configuration controls so only authorized roles edit governed fields.
Operations teams
Automate order-ready product enrichment
Faster order readiness
Trigger automation when product records reach defined completeness criteria for fulfillment handoff.
Best for: Fits when product data governance and API automation must stay consistent across channels.
Akeneo
PIM and schemaCentralizes PIM data and variant schemas used to drive accurate ordering configuration and downstream order automation via API.
Workflow-driven publishing with RBAC on governed product models.
Akeneo fits promotional product order management where product data is the control plane and downstream order processes must stay consistent. The Akeneo data model centers on PIM concepts like structured attributes, channel-specific values, and a schema-driven governance workflow for creating and mapping offer data.
Integration depth is driven by a documented REST API for product, model, and import export operations plus event-style automation patterns using webhooks. Admin and governance controls include role-based access control, data validation, and workflow states that constrain who can change attributes and when data becomes publishable.
- +REST API supports attribute, entity, and import export operations for tight integrations
- +Schema and validation enforce consistent product attributes across channels
- +Workflow states gate publishes with RBAC-based role control
- +Extensibility via connectors enables connecting order systems to enriched catalogs
- –Order-specific workflows require integration work outside the core PIM model
- –Complex schemas increase admin overhead for attribute governance
- –High-volume catalog synchronization needs careful batching to manage throughput
- –Automation depends on API and connector design rather than native order orchestration
Best for: Fits when order management depends on governed product data schemas and API-driven synchronization.
Contentful
configurable content modelSupports configurable product and ordering content models that propagate through APIs into promotional order intake and approval workflows.
GraphQL Delivery API with environment-aware content and webhooks for publish-driven synchronization.
Contentful provisions and delivers product-adjacent content data through a structured content model and schema-driven APIs. It offers a GraphQL delivery API and REST management API with configurable access, letting teams automate content publishing and synchronization for downstream order-related front ends.
Contentful includes extensibility via webhooks and a rich automation surface for keeping assets, attributes, and catalogs aligned across systems. Admin governance covers roles and permissions to control who can publish, manage entries, and modify model definitions.
- +GraphQL delivery API supports typed reads for catalog-like data
- +REST management API supports schema and entry lifecycle automation
- +Webhooks trigger downstream updates on publish and workflow events
- +RBAC-style role permissions restrict model, entry, and environment actions
- +Audit-friendly change history for content lifecycle governance
- –Data model is content-centric, not order-status workflow native
- –Order-specific domain logic needs external orchestration
- –Throughput tuning depends on client caching and pagination strategy
- –Automation typically requires building glue across systems and UIs
- –Admin governance controls cover content objects more than process objects
Best for: Fits when catalog content must integrate deeply into order UIs and downstream systems.
Salesforce
enterprise workflow OMSImplements order-to-delivery workflows with configurable data objects, automation, and API access for promotional order orchestration.
Salesforce Flow orchestration coordinates order state changes across objects and integrations.
Salesforce fits teams that need order workflows wired into CRM data and downstream fulfillment systems. It provides a configurable data model using custom objects, lookup and master-detail relationships, and a schema enforced by validation rules.
Automation covers process flows, workflow rules, Apex triggers, and scheduled jobs. Extensibility comes through REST and SOAP APIs, eventing, and managed packages, with RBAC and audit logs for governance.
- +Deep integration with CRM entities via custom objects and relationships
- +Automation spans Flow, Apex triggers, scheduled jobs, and validation rules
- +REST and SOAP APIs support bidirectional order and status sync
- +RBAC and field-level security control access to order data
- –Order modeling takes schema design effort and ongoing data governance
- –Throughput-heavy order bursts require careful API usage and limits tuning
- –Complex orchestration often needs custom Apex and integration code
- –Multi-system consistency needs explicit design for retries and idempotency
Best for: Fits when order lifecycles must stay consistent with CRM data and external fulfillment integrations.
Microsoft Dynamics 365
enterprise CRM-OMSProvides order management data models with automation hooks and integration surfaces for promotional order processing across sales and operations.
Dataverse schema and solution-based extensibility with RBAC and audit logging for order data governance.
Microsoft Dynamics 365 couples order management workflows with a governed business data model in Dataverse. It connects order, customer, and inventory records through configurable schemas and relationships, then drives execution via automation rules and Power Automate.
Automation and integration rely on documented APIs that support webhook-style patterns, custom actions, and ERP or logistics synchronization. Administrative controls include RBAC, audit logs, environments, and solution-based customization to manage change across deployment lifecycles.
- +Dataverse data model links orders to customer and inventory records
- +Extensible automation via Power Automate and workflow steps
- +API surface supports custom integrations with order events
- +RBAC and audit logs support governance across roles
- +Environment and solution tooling supports controlled deployments
- –Order execution logic can require multiple components to design
- –Complex integrations often need custom data mapping and orchestration
- –Automation performance depends on tuning of flows and triggers
- –Governance controls add administration overhead for teams
Best for: Fits when enterprises need governed order data, automation, and API-driven integrations.
Zoho Commerce
commerce OMSSupports storefront order intake and downstream order workflows with extensibility through APIs and automation for promotional product catalogs.
Zoho Commerce order webhooks plus API for near-real-time order state updates.
Zoho Commerce is a promotional products Order Management Software built around Zoho's commerce and catalog data model. It connects store checkout, order records, and fulfillment status through configuration-driven workflows and Zoho ecosystem integrations.
The automation and integration surface centers on API access, webhooks, and data synchronization between order, customer, and inventory objects. Admin controls include role-based permissions for catalogs, orders, and settings, with audit trails covering key back-office actions.
- +Zoho API supports order, customer, and catalog synchronization across channels
- +Workflow automation ties order states to fulfillment steps and notifications
- +RBAC separates access to orders, catalog management, and administrative settings
- +Data schema aligns commerce objects for consistent mapping across integrations
- +Extensibility supports custom logic through integrations and scripted workflows
- –Complex multi-system governance needs careful configuration and permissions planning
- –Automation relies on Zoho-specific objects, which can slow non-Zoho data models
- –High-volume throughput depends on integration design and webhook retry behavior
- –Sandboxing and change control require extra process for schema or workflow updates
- –Reporting across custom integrations can require building and maintaining data connectors
Best for: Fits when teams need Zoho-aligned integration depth and governed automation for promo orders.
Shopify
commerce order hubRuns storefront order capture and manages order states via APIs while integrating production and fulfillment services for custom promotional items.
Webhooks for order and fulfillment events paired with the Admin API for automated state updates.
Shopify manages promotional products orders by routing purchase and fulfillment data through its commerce store, then extending workflows with apps and webhooks. Its core capabilities include product catalog modeling, order capture, customer and shipping data normalization, and fulfillment status updates that downstream systems can consume.
Integration depth comes from a documented Admin API plus webhooks that deliver event payloads into automation and custom services. Governance is supported through role-based access control for staff accounts and audit visibility for key admin actions.
- +Admin API supports orders, fulfillment updates, and inventory sync via structured endpoints
- +Webhooks emit event payloads for order, fulfillment, and customer changes
- +Extensible app ecosystem enables custom production and approval steps
- +RBAC controls staff permissions across storefront and admin capabilities
- –Promotional line customization often requires custom app logic or extra variants
- –Multi-entity workflows need careful data mapping across external systems
- –Throughput for high-volume webhook consumers depends on app infrastructure
Best for: Fits when promotional product workflows can map to Shopify order and fulfillment states.
BigCommerce
commerce order hubProvides configurable storefront order workflows and API access for promotional catalog ordering with integrations into production and logistics.
Webhooks for order and fulfillment events with API access for synchronized promotional SKU processing.
BigCommerce fits teams that need promotional product order operations tied to storefront commerce data. It provides a structured data model for products, orders, customers, and inventory that can be mapped to promotion SKUs and variants.
Integration depth is driven through a public API surface and webhooks for order, fulfillment, and catalog events. Automation and governance depend on API-driven workflows plus admin role permissions and audit visibility across changes and integrations.
- +Order data model maps directly to promotions, variants, and line item attributes
- +API and webhooks support event-driven order updates and downstream sync
- +Extensibility via apps and custom integrations for promotional SKU provisioning
- +Admin role permissions support RBAC for commerce operations and integration access
- –Promotion-specific workflow logic requires external orchestration and state management
- –Complex multi-system throughput needs careful idempotency and retry design
- –Governance depends on integration setup, not a dedicated promotion workflow engine
- –Custom schema mapping for promo bundles can increase integration maintenance
Best for: Fits when teams need API and webhook driven control for promotional order handling.
How to Choose the Right Promotional Products Order Management Software
This buyer’s guide covers Promotional Products Order Management Software and contrasts tools for order intake, production handoff, and governed integrations. It references Printavo, Celerant, inRiver, Akeneo, Contentful, Salesforce, Microsoft Dynamics 365, Zoho Commerce, Shopify, and BigCommerce.
The selection criteria focus on integration depth, the underlying data model, automation and API surface, and admin and governance controls. Each section uses named mechanisms like RBAC, audit logs, webhooks, REST or GraphQL APIs, and schema validation workflows.
Order intake to supplier-ready execution for promotional and custom print catalogs
Promotional Products Order Management Software coordinates the path from quote or cart intake to production steps and supplier or fulfillment handoff for promo and custom print lines. It solves state consistency problems by linking order line items to artwork, approvals, production status transitions, and downstream fulfillment actions.
Tools like Printavo tie artwork and approval checkpoints to configured line items so order edits propagate into approvals and supplier tasks. Celerant uses an API-driven workflow automation model tied to order, item, and production status objects to keep promotional lifecycle steps consistent across systems.
Evaluation criteria mapped to integration control and governed execution
The deciding factor is whether the tool exposes a data model and automation surface that match promotional ordering workflows. Integration depth matters most when order-specific attributes, variants, and approval gates must stay consistent across storefront, PIM, production, and fulfillment.
Admin and governance controls determine whether teams can safely change schemas, attributes, and states without breaking downstream services. RBAC, audit logs, workflow states, and validation rules are the concrete controls behind that safety.
API and webhook surface for order and production events
Printavo pairs API-driven automation with event-driven updates for provisioning and production events, which supports controlled state changes across systems. Zoho Commerce and Shopify emit order and fulfillment changes through webhooks tied to API updates so consumers can keep order state synchronized.
Line-item and artwork or checkpoint aware data model
Printavo’s structured data model connects artwork, product variants, line items, approvals, and production events so supplier-ready transitions stay tied to the same configured objects. Celerant also uses structured schemas so order, item, and status objects remain consistent across automation rules.
Schema-driven product or attribute governance that feeds ordering
inRiver provides a schema-driven product data model with attribute and hierarchy governance so channel mapping stays controlled when ordering consumes variants and attributes. Akeneo adds workflow-driven publishing with RBAC on governed product models so only publishable attribute sets drive downstream order configuration.
Workflow states that gate publish, approval, and role-based edits
Akeneo enforces workflow states that constrain who can change attributes and when data becomes publishable. Printavo ties artwork and approval checkpoints to configured line items and supplier-ready status transitions so governance is baked into the execution timeline.
Extensibility paths that support integration breadth without losing control
Contentful exposes a GraphQL delivery API plus REST management APIs and uses webhooks on publish and workflow events, which supports typed reads for catalog-like ordering front ends. Salesforce offers REST and SOAP APIs plus Salesforce Flow orchestration, which keeps order state changes coordinated across CRM objects and external fulfillment integrations.
Admin governance tools for RBAC, audit logs, and deployment control
Printavo and Celerant both include RBAC-style controls and audit visibility so controlled edits stay traceable across order lifecycle events. Microsoft Dynamics 365 adds Dataverse governance with RBAC, audit logs, environments, and solution-based customization so deployment and change management stay controlled across teams.
Decision framework for choosing a tool with the right integration contracts
Start with the data plane that must remain consistent. If promo ordering depends on governed product attributes and variant hierarchies, tools like inRiver or Akeneo reduce downstream inconsistencies by centralizing and validating those schemas.
Then verify that the automation and API surface can express promotional workflow steps, including approvals and supplier-ready transitions. Finally, check whether governance controls cover both process objects and the data objects that drive them, using RBAC, audit logs, and workflow gating in Printavo, Celerant, Microsoft Dynamics 365, and Salesforce.
Map the ordering data model to the workflow objects that must stay in sync
Printavo is a fit when the workflow needs artwork and approval checkpoints tied to configured line items so order edits propagate into approvals and supplier tasks. inRiver is a fit when product variants and attributes must be governed so order configuration uses the same controlled schema across channels.
Validate the event and API surface for the states that change
Use Zoho Commerce or Shopify when order and fulfillment state updates need near-real-time delivery through webhooks paired with API updates. Use Printavo or Celerant when order, item, and production status objects must drive automation through an API-driven workflow automation surface.
Confirm workflow gating and validation controls match promotional approvals and publish steps
Akeneo fits when publish readiness must be gated by workflow states and RBAC on governed product models so downstream order configuration cannot use unpublishable attributes. Printavo fits when approvals and supplier-ready status transitions must be tied to configured line items and checkpoints.
Check governance coverage across both integrations and internal teams
Microsoft Dynamics 365 fits when governed order data needs RBAC, audit logs, environments, and solution-based deployment controls so multi-team edits remain controlled. Salesforce fits when order lifecycles must stay consistent with CRM data through configurable objects, validation rules, and Flow orchestration with RBAC and audit logs.
Plan schema and mapping work for complex custom promo bundles
Tools like Akeneo, inRiver, and Contentful can require upfront schema and mapping design when promo bundles demand custom attribute hierarchies or content models. Printavo and Celerant reduce friction when promo line-item attributes match the structured objects used for automation and supplier handoff.
Which teams get the most control from these Promotional Products Order Management tools
The best fit depends on whether promotional ordering control lives in line-item execution, in governed product attributes, or in CRM-linked workflow orchestration. Different tools emphasize different control planes like artwork checkpoints, schema-driven attributes, publish workflows, or CRM object workflows.
These segments focus on real best-for scenarios where the tool’s named automation and data model mechanics reduce manual handoffs and prevent state drift.
Mid-size teams that need quote-to-supplier handoff with operational governance
Printavo fits when the workflow must keep order state consistent from quote through production routing and supplier handoff. RBAC, audit log support, and artwork and approval checkpoints tied to configured line items reduce uncontrolled edits during throughput-heavy cycles.
Teams that need API-driven automation across order, item, and production lifecycle states
Celerant fits when API-based workflow automation must tie together order, item, and production status objects with automation rules that reduce manual handoffs. Governance via RBAC-style audit visibility supports controlled operational traceability across teams.
Catalog and variant governance teams that must keep product attributes consistent across channels
inRiver fits when a schema-driven product data model with attribute and hierarchy governance must feed ordering workflows via API synchronization. Akeneo fits when workflow-driven publishing with RBAC must constrain when attribute sets become usable for downstream ordering.
Enterprises integrating order steps with CRM objects and governed business data
Salesforce fits when order lifecycles must stay consistent with CRM data using configurable objects, validation rules, and Salesforce Flow orchestration. Microsoft Dynamics 365 fits when Dataverse data modeling must connect orders to customer and inventory records with Power Automate and API-driven integration events plus RBAC and audit logs.
Commerce-focused teams that rely on store order events and fulfillment status updates
Shopify fits when promotional workflows can map to Shopify order and fulfillment states and automation can consume Admin API data and webhook payloads. BigCommerce and Zoho Commerce fit when event-driven order and fulfillment updates must reach external production and SKU provisioning systems through APIs and webhooks.
Where promo order operations break down in tool selection and implementation
Many failures come from mismatched control planes between ordering execution and the product or content models that drive it. Schema alignment work can also be underestimated when promotional bundles require custom mappings and variant logic.
Automation and API choices can introduce governance gaps when RBAC, audit logs, and workflow gating do not cover the exact objects being modified during production operations.
Choosing a tool without validating that approvals and supplier-ready transitions map to the same line-item objects
Printavo’s artwork and approval checkpoints tied to configured line items help avoid state drift between approvals and supplier handoff. Teams that skip this mapping often face manual reconciliation when external production systems act on different state references.
Underestimating schema and mapping effort for deep customization of promotional bundles
Akeneo, inRiver, and Contentful require schema and mapping design work when custom attribute hierarchies or content models drive ordering configuration. Celerant and Printavo reduce this risk when promotional attributes fit structured order, item, and line-item objects used for automation and supplier handoff.
Assuming order automation exists without checking the actual event contracts
Zoho Commerce, Shopify, and BigCommerce rely on webhooks plus API access for order and fulfillment events, so webhook consumers and idempotency design become part of the operational plan. Printavo and Celerant offer API-driven automation tied to order, item, and production status objects, which still requires event mapping to downstream systems.
Skipping governance coverage for the data objects that can be changed
Akeneo gates attribute usability with workflow states and RBAC on governed product models, which prevents downstream consumers from using unpublishable attributes. Microsoft Dynamics 365 and Salesforce add audit logs and RBAC on order data and related objects, which helps keep operational changes traceable across teams.
How We Selected and Ranked These Tools
We evaluated Printavo, Celerant, inRiver, Akeneo, Contentful, Salesforce, Microsoft Dynamics 365, Zoho Commerce, Shopify, and BigCommerce on features coverage, ease of use, and value, and the overall score is a weighted average where features carries the most weight while ease of use and value each account for the rest. Criteria centered on the integration depth and automation and API surface that support order and production lifecycle events, plus the data model and governance controls like RBAC and audit log support.
Printavo separated from lower-ranked tools through a structured data model that links artwork, approvals, and production events to configured line items so quote-to-supplier handoff keeps order state consistent. That directly improved features coverage because it pairs supplier-ready status transitions with automation events and controlled edits.
Frequently Asked Questions About Promotional Products Order Management Software
How do Printavo and Celerant differ in order routing and supplier handoffs?
Which tool exposes the most automation-friendly integration surface for order status changes?
What SSO and access control patterns exist in these platforms?
How is product data migration handled when promotional SKUs depend on variants and attributes?
Which platforms support configuration that constrains who can change what during order approvals?
What API styles matter most for integrating catalogs and orders across systems?
How do teams prevent data model mismatches between order line items and artwork or production specs?
What extensibility options exist for building custom workflow steps beyond the out-of-the-box automation?
How do Shopify and Zoho Commerce handle event-driven updates for order and fulfillment status?
Conclusion
After evaluating 10 consumer retail, Printavo 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.
shopify.comReferenced in the comparison table and product reviews above.
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