GITNUXSOFTWARE ADVICE
Supply Chain In IndustryTop 10 Best Plant Tracking Software of 2026
Ranking 10 plant tracking software tools for greenhouse teams, with tradeoffs and criteria, covering GrowFlow, MyPlantShop, and PlantX.net.
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
GrowFlow is the best fit for greenhouse teams that need barcode-anchored plant records with scheduled tasks and controlled access, while PlantX.net is the cheapest entry point if you want fast daily status updates and traceability, and Metrc works best when you must meet regulated seed-to-sale requirements.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
GrowFlow
Barcode scan updates drive automatic task creation tied to each plant lifecycle status.
Built for fits when greenhouse teams need barcode-anchored plant records with scheduled tasks and controlled access..
MyPlantShop
Editor pickBarcode-friendly labeling paired with timeline history keeps plant identity consistent through updates and transfers.
Built for fits when greenhouse teams need structured, label-driven tracking with controlled edits and history..
PlantX.net
Editor pickScan-based plant identification tied to editable lifecycle statuses and structured per-plant fields.
Built for fits when greenhouse teams need barcode-driven plant traceability and fast daily status updates..
Comparison Table
GrowFlow
SMBCannabis cultivation and compliance software with plant stage tracking and state reporting.
Barcode scan updates drive automatic task creation tied to each plant lifecycle status.
GrowFlow is designed around per-plant lifecycle records that can be linked to physical tracking inputs such as barcodes and batch identifiers. Status updates can drive follow-up tasks for watering, pruning, and transplant readiness, with checklists that stay attached to the relevant plant record. Scheduling and activity history make it practical for recurring plant operations that depend on consistent timing.
A tradeoff appears in integration depth because GrowFlow automation is strongest inside its own workflow and data structure, while external data exchange depends on available API endpoints and import formats. GrowFlow fits a team running repeated greenhouse cycles where plant identity, event capture, and task generation are more critical than custom data modeling.
- +Barcode-based plant identification reduces mismatch at labeling time
- +Event timelines tie notes and media to the same plant record
- +Status-driven task scheduling supports recurring greenhouse routines
- +Role-separated access limits edits by operational staff
- –Extensibility depends on the available API coverage for custom workflows
- –Cross-trial or cross-batch reporting needs deliberate tagging discipline
- –Geospatial trial layout mapping features are limited compared with dedicated trial systems
- –Automation triggers are strongest for built-in status events rather than arbitrary fields
Greenhouse operators
Scan labels during daily maintenance
Fewer missed steps
Grow managers
Control who edits plant records
Lower data tampering risk
Show 2 more scenarios
Propagation coordinators
Track batch progress through stages
More consistent transplant windows
Stage changes generate follow-up tasks for transplant timing and handling instructions.
Inventory and QA leads
Audit lifecycle events for traceability
Faster root-cause checks
Event history keeps media, notes, and timestamps associated with each plant identity.
Best for: Fits when greenhouse teams need barcode-anchored plant records with scheduled tasks and controlled access.
MyPlantShop
SMBPlant business software for inventory, sales, and plant catalog management.
Barcode-friendly labeling paired with timeline history keeps plant identity consistent through updates and transfers.
MyPlantShop uses a record-first data model where each plant or plot entry can carry custom attributes, uploaded images, and structured notes tied to a timeline. That design supports operational workflows like recurring checks, status changes, and maintaining traceability from label to record across a season. Role-based access controls help keep plant movements, edits, and approvals separated between trial coordinator roles and technicians.
A tradeoff is that MyPlantShop is built for plant inventory and tracking rather than deep analytics like heritability dashboards or genotype-phenotype modeling. It fits best when field teams need consistent record capture, then downstream exports or manual review handles analysis later. It is also a good fit when barcode plot tags already exist in the greenhouse workflow and records must stay consistent during transfers.
- +Configurable plant and plot fields support structured grow records
- +Barcode-friendly labeling reduces misassignment during field checks
- +Media attachments and change history keep observations traceable
- +Role-based access control separates edit and administration duties
- –Analytics depth for breeding-level statistics is limited
- –Integration coverage depends on export workflows rather than native automation
- –Spatial trial layout tooling is not designed for geospatial adjustment workflows
- –More complex schemas require careful configuration upfront
Greenhouse trial coordinators
Manage plant status across recurring visits
Fewer identity and handoff errors
Field technicians
Capture observations with photos and notes
Faster context for follow-ups
Show 2 more scenarios
Data managers
Maintain controlled edits across roles
Better auditability of records
Managers restrict who can change critical fields and review historical modifications.
Operations teams
Track inventory and transfers
Improved inventory reconciliation
Teams log movements between benches or plots using consistent identifiers.
Best for: Fits when greenhouse teams need structured, label-driven tracking with controlled edits and history.
PlantX.net
vertical specialistPlant management software for tracking plant collections, inventory, and horticultural records.
Scan-based plant identification tied to editable lifecycle statuses and structured per-plant fields.
PlantX.net organizes records by plant entities and groups them into lists, which supports practical greenhouse operations like tracking which plants are in which bench, batch, or care cycle. Each plant record stores structured attributes and free-form notes, so staff can mix consistent fields with observations. The interface is designed for quick lookup by plant ID or scan code, which reduces time spent searching during daily handling.
A key tradeoff appears in integration depth, since PlantX.net does not provide the same breadth of breeding and trial APIs used by BrAPI-oriented environments. PlantX.net fits best when teams need fast plant-level traceability and human-in-the-loop updates rather than high-throughput plot telemetry ingestion.
- +Plant record structure supports both fields and daily grower notes
- +Scan-to-identify flow reduces lookup time during routine handling
- +Collection views help staff find plants by batch and care cycle
- +Lifecycle status tracking keeps attention focused on current needs
- –Integration surface is narrower than BrAPI and breeding-data endpoints
- –Less suited for geospatial trial layouts and plot-level telemetry
Greenhouse operations teams
Track plant inventory by scan codes
Fewer misidentified plants
Plant nursery managers
Manage batches across benches
Cleaner transfer records
Show 1 more scenario
Lab coordinators
Maintain traceability for observation cycles
More consistent documentation
Structured identifiers link observations to specific plants over multiple visits.
Best for: Fits when greenhouse teams need barcode-driven plant traceability and fast daily status updates.
Metrc
enterpriseGovernment-mandated cannabis seed-to-sale plant tracking system used by state regulatory agencies.
Event-driven inventory movement tracking that links each scanable identifier to a complete transfer and reporting history.
Metrc is a plant tracking system used for regulated inventory and batch traceability, with workflows built around tags, licenses, and state-style compliance operations. The core capability is end-to-end movement tracking for plants and products, including receiving, transfer, and reporting events tied to identifiers.
Metrc’s automation centers on standardized transaction types and integrations that synchronize operational scans and updates across connected systems. Administration focuses on governing who can perform actions and recording what changed for audit-style review.
- +Transaction-based traceability ties inventory events to unique identifiers
- +Event-driven reporting supports consistent operational status across facilities
- +Barcode and label workflows reduce manual re-entry during receiving and transfers
- +Integration options help synchronize inventory state with external systems
- –Operations depend on disciplined tag usage and clean identifier hygiene
- –Workflow setup requires careful mapping of activities to the platform’s transaction model
- –Role permissions can be granular enough to slow operations during changeovers
- –Custom automation is limited to supported integration patterns and available APIs
Best for: Fits when greenhouse teams need regulated inventory traceability across licensed sites and staff roles.
Flourish
SMBCannabis seed-to-sale software covering cultivation tracking, inventory, and distribution compliance.
Lifecycle event tracking with configurable stage and outcome fields for consistent plant records.
Flourish is a plant tracking tool built around managing plant inventories, locations, and lifecycle events for greenhouse and nursery workflows. It supports configurable record fields and custom statuses so teams can standardize what counts as a stage, a treatment, or a failure.
It also provides roles and controlled access so coordinators can update records while administrators oversee settings. Flourish focuses on operational tracking rather than phenotyping analytics or spatial trial telemetry.
- +Configurable fields and statuses match plant stage and treatment workflows
- +Location-based tracking reduces misplacement and duplicate plant records
- +Role-based access separates plant editing from administration
- +Lifecycle event logging makes handoffs traceable across staff
- –Limited fit for plot-level telemetry and spatial trial layouts
- –No native Breeding API or BrAPI endpoint for genotype-linked workflows
- –Automation options rely on manual workflows rather than event-driven rules
- –Extensibility depends on external processes instead of built-in integrations
Best for: Fits when greenhouse teams need structured plant lifecycle tracking without plot-level phenotyping depth.
Distru
SMBCannabis business management software with plant batch tracking, inventory, and order fulfillment.
Configurable workflow steps tied to plant records, with webhook events for external system synchronization.
Distru is a plant tracking software used to record plants, manage trial or nursery workflows, and keep observations tied to specific specimens. It supports work progress tracking with configurable steps, so teams can standardize what gets captured at each stage.
Data can be organized around plant identifiers, batches, and custom fields to support trait scoring style notes and operational status. Distru also provides integration options through webhooks and APIs to connect sensor inputs and downstream reporting.
- +Custom fields and workflow steps map to plant or trial stages
- +Plant and batch identifiers keep observations tied to specimen lineage
- +API and webhooks support automation with external tools
- +Role-based permissions limit who can edit sensitive records
- –Audit trails and activity history need deeper configuration for governance
- –Plot-level spatial metadata is limited versus dedicated trial systems
- –Bulk import and reconciliation flows feel thin for large trials
- –API coverage focuses on records and events, not deep analytical exports
Best for: Fits when greenhouse or nursery teams need structured plant recordkeeping and workflow automation.
Planta
consumerMobile application for tracking houseplant care schedules, watering, and health status.
Barcode-to-record linking with automated status transitions keeps physical handling aligned with tracked plant attributes.
Planta pairs plant tracking with a field-ready barcode workflow for mapping greenhouse inventory to physical plants. It organizes each plant record around measurable attributes, tag identifiers, and status changes that staff can update during routine care.
The system supports automations that trigger when fields change, which reduces manual follow-ups across batches. API and integration options enable linking tracking records to external data sources used for trial reporting and operations.
- +Barcode-driven plant records reduce mis-scans during transfers and harvest
- +Field status workflows fit recurring care cycles without custom scripts
- +Automation rules act on record field changes to cut routine admin
- +API support helps integrate tracking with external trial or operations tools
- –Plot-level trial layouts and spatial metadata need careful modeling
- –Role separation and governance controls require deliberate configuration
- –Bulk imports for high-volume datasets can demand data cleaning first
- –Advanced analytics depend more on exports than in-app dashboards
Best for: Fits when greenhouse teams need barcode-based plant tracking with light workflow automation and external system integration.
Trym
enterpriseCultivation management software with plant tracking, labor workflows, and compliance reporting.
Barcode-linked trial entities with API-accessible events for integrating plant measurements into external pipelines.
Trym manages plant or trial tracking around a configurable workflow for individuals and teams that need barcode-linked record keeping. The core capabilities focus on creating plant entities, assigning measurements and events, and keeping an audit trail of changes across the lifecycle of a trial.
Trym also provides integrations and automation hooks so trial data can move between field capture tools, lab systems, and analysis pipelines. For greenhouse teams, Trym’s distinction is the balance between structured tracking and practical API-access for downstream systems like reporting and data exchange.
- +Barcode-linked plant record workflow reduces mixups across repeated handling
- +API and automation hooks support moving trial events into analysis systems
- +Change history supports auditability of measurements and status transitions
- +Configurable forms let teams add event types without rebuilding the app
- –RBAC depth can be limiting for multi-team governance with fine-grained permissions
- –Advanced spatial trial layout workflows require more manual field modeling
- –Bulk imports can take additional prep when plant IDs and tag formats vary
- –Sensor gateway polling for continuous logging is not a primary focus
Best for: Fits when greenhouse teams need barcode-grade tracking with an API path into downstream reporting.
Aroya
enterpriseCultivation platform that combines crop steering, facility monitoring, and plant production management.
An audit-style event trail tied to plot identifiers supports traceable updates across long-running trials.
Aroya tracks plant records with plot-level structure and an event history that supports repeat measurements over a trial lifecycle. The workflow centers on barcode-friendly plot tagging, trait or observation entry, and configurable field templates that keep researchers on the same data dictionary.
Data access is oriented around integrations and an API surface that can connect station deployments to external analysis pipelines. Admin controls focus on user permissions and change visibility so trial coordinators can govern data entry across sites.
- +Plot-centric tracking with an event history for repeated measurements
- +Barcode-friendly plot tagging reduces transcription errors in field entry
- +Configurable entry templates enforce consistent trait and observation fields
- +API-focused integration supports automated data routing into downstream tools
- –Setup requires careful configuration of field templates before scaling
- –Automation depth is strong for data capture but thin for advanced spatial analytics
- –Role permissions can feel coarse for highly segmented lab and greenhouse teams
- –Export formats for downstream tools may require extra mapping work
Best for: Fits when greenhouse teams need plot-level plant tracking with barcode input and API-connected workflows.
TrolMaster Hydro-X App
SMBEnvironmental control software that tracks grow-room conditions and supports crop management workflows.
Location and identifier-linked logging that maps environmental and system readings to the same zones tracked for crops.
TrolMaster Hydro-X App supports greenhouse-style plant tracking around hydroponic control and reporting, with a focus on continuous environmental and system measurements. The app organizes trial or crop records by physical locations and plant or zone identifiers, then ties logged readings to those identifiers for later review.
It is distinct for pairing data capture with actuation-aligned context from TrolMaster hardware, rather than treating plant logging as a standalone field book. Export and reporting center on what the system has polled and logged, so workflows built around station polling and consistent IDs fit best.
- +Ties logged measurements to hydroponic system context and station identifiers.
- +Location-based organization reduces confusion when multiple benches or rooms run in parallel.
- +Supports consistent plant or zone labeling so historical views stay navigable.
- +Built for continuous polling workflows instead of manual transcription.
- –Trial metadata and complex breeding schemas require external processes.
- –Limited surface for integration beyond the TrolMaster ecosystem.
- –Barcode plot tag workflows are not a primary, native focus for plot-level trials.
- –Advanced governance controls like RBAC and audit log are not emphasized.
Best for: Fits when greenhouse teams need station-polled hydroponic logging with consistent identifiers, not full breeding-trial schema management.
Conclusion
After evaluating 10 supply chain in industry, GrowFlow 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.
How to Choose the Right plant tracking software
This buyer’s guide covers plant tracking software for greenhouse and nursery operations that need scan-driven plant records, repeatable handling workflows, and controlled updates across lifecycle stages. It evaluates GrowFlow, MyPlantShop, PlantX.net, Metrc, Flourish, Distru, Planta, Trym, Aroya, and TrolMaster Hydro-X App based on how each tool ties identifiers to events and tasks.
GrowFlow is highlighted for barcode scan updates that automatically create tasks tied to each plant lifecycle status, which directly reduces mismatch during labeling. Other tools such as Metrc and Trym are included for teams that need event-driven traceability or an API-accessible path for moving plant and trial events into external pipelines.
Plant tracking software for barcode-anchored plant and plot records tied to lifecycle events
Plant tracking software records plant or plot identifiers, then connects handling actions like status changes, transfers, and measurements to an event timeline that stays attached to the correct entity. Many deployments rely on barcode scans to reduce transcription errors during field checks and harvest workflows, which is the core pattern in GrowFlow, MyPlantShop, PlantX.net, and Planta.
The software also defines what teams can automate after scans, such as task creation tied to lifecycle stage, editable lifecycle statuses for daily grower notes, or webhook and API event delivery for downstream systems. GrowFlow centers barcode-anchored task automation, while Trym focuses on barcode-linked trial entities with API-accessible events that integration-heavy teams can push into external reporting pipelines.
Identifier-to-event automation, workflow control, and integration surface
Plant tracking succeeds when a barcode scan immediately ties a physical entity to the correct record, then triggers the next required handling action without relying on manual lookups. GrowFlow leads with barcode scan updates that automatically create tasks tied to each plant lifecycle status, which keeps updates attached to the same plant record from label to harvest.
The second requirement is traceability and governance when multiple staff handle the same inventory across locations. Metrc emphasizes event-driven inventory movement tracking where each scanable identifier links to transfers and reporting history, while Trym pairs barcode-linked trial entities with API-accessible events for moving measurement events into external pipelines.
Barcode-to-record linkage that drives the next handling step
GrowFlow turns barcode scan updates into automatic task creation tied to plant lifecycle status, which reduces missed steps during routine care. Planta also links barcode-to-record and automates status transitions, but it places more emphasis on light workflow automation.
Editable lifecycle statuses with timeline continuity
MyPlantShop supports configurable plant and plot fields and keeps a timeline history around label-driven tracking with controlled edits. Flourish focuses on lifecycle event tracking with configurable stage and outcome fields, which works well for plant workflows without deeper plot-level telemetry.
Event-driven traceability for transfers and inventory movement
Metrc connects transaction-based traceability to unique identifiers so transfers and reporting stay consistent across facilities and staff roles. Aroya also uses a plot-centric event history tied to plot identifiers for traceable updates, but its advanced spatial analytics remain thin.
API and external synchronization for downstream measurement workflows
Trym exposes an API-accessible events path so barcode-linked trial events can flow into external reporting systems. Distru provides webhook events for external system synchronization, which supports automation for structured plant recordkeeping without assuming deep spatial trial workflows.
Workflow configuration depth for multi-step handling processes
Distru provides configurable workflow steps tied to plant records, which maps to staged operations and supports structured automation. GrowFlow limits extensibility to the available API coverage for custom workflows, so teams with unique handling steps need to validate custom workflow reach early.
Choose based on how scans become actions, and how trial data must exit the system
Start by identifying the operational loop where a scan should trigger work, because tools differ on whether scans only update records or also create tasks. GrowFlow and PlantX.net both prioritize scan-to-identify and daily status updates, while GrowFlow uniquely ties scans to automatic task creation tied to lifecycle status.
Next decide how much governance and integration engineering is required after tracking starts. Metrc assumes disciplined identifier hygiene for transaction-level traceability, while Trym and Distru prioritize API or webhook event delivery for external synchronization, and the governance model can become a deciding factor when multiple teams share access.
Map the scan trigger to the exact action type the team needs
If barcode scans must create scheduled work tied to lifecycle stage, GrowFlow is built around barcode scan updates that automatically create tasks by plant lifecycle status. If the team mainly needs fast scan-based identification and editable lifecycle statuses for daily notes, PlantX.net and Planta both support structured per-plant fields and status transitions.
Validate whether plot-level spatial and trial layout work is in-scope
Choose Aroya or Metrc when plot-centric traceability matters and barcode plot tags must feed plot-level event history and reporting consistency. If the operation depends on spatial trial layouts and plot-level telemetry, Flourish and TrolMaster Hydro-X App remain constrained, so the trial system outside the plant tracker may need to carry spatial modeling.
Decide how data leaves the system after the event is recorded
If measurements and trial events must stream into external pipelines through an API path, Trym is designed around API-accessible events for moving trial events into downstream reporting systems. If external synchronization can run through webhook events, Distru provides webhook events tied to configurable workflow steps and plant records.
Set governance expectations based on role separation and audit needs
If licensed-site traceability across staff roles and disciplined tag usage is required, Metrc models traceability as event-driven inventory movement with transaction history. If multi-team governance demands fine-grained role separation, Trym can become limiting in RBAC depth, while Distru requires deeper configuration for audit trails and activity history.
Confirm the reporting boundary for breeding-level analytics
If breeding-level statistics and genomics-linked workflows are in scope, Metrc and Trym fit the integration-heavy path better than tools that emphasize lifecycle tracking without that depth. If the priority is structured grow records and label-driven history, MyPlantShop and Flourish can fit well, but analytics depth for breeding-level statistics can be limited in MyPlantShop.
Teams that can match plant tracking workflows to greenhouse handling realities
Greenhouse and nursery teams that rely on barcode-anchored plant identity during daily handling should prioritize tools where scans update the right record and drive the next step. GrowFlow is a strong match when task automation tied to plant lifecycle status reduces missed actions during routine care.
Breeding and trial operations that must move events into analysis systems should focus on tools that expose API-accessible events or webhook events. Trym and Distru both support external pipeline movement, while Metrc targets regulated inventory traceability across licensed sites and staff roles.
Greenhouse operations that run frequent labeling and transfer cycles
GrowFlow and MyPlantShop both reduce mismatch during labeling by using barcode-based plant identification tied to event timelines and controlled record updates.
Trial teams that need an API path for measurement events into external reporting
Trym exposes API-accessible events tied to barcode-linked trial entities, and Distru supports webhook events for workflow-driven synchronization with external systems.
Regulated inventory environments that require transfer history and role-aware traceability
Metrc is designed around event-driven inventory movement tracking where each scanable identifier links to complete transfers and reporting history across sites and staff roles.
Nursery teams that want lifecycle tracking without plot-level telemetry requirements
Flourish focuses on lifecycle event tracking with configurable stage and outcome fields and location-based tracking to reduce duplicate records.
Hydroponic teams that poll environmental and system readings by station
TrolMaster Hydro-X App ties logged measurements to hydroponic system context and station identifiers, which fits station-polled logging over breeding-trial schema management.
Common buying pitfalls that break scan-driven tracking deployments
Most failures show up when scanning is treated as data entry instead of a workflow trigger, or when trial layout requirements exceed what the plant tracker models. Another frequent break is underestimating how much identifier hygiene and configuration discipline each tool demands.
These pitfalls show up clearly across the list, because GrowFlow and MyPlantShop emphasize barcode-driven continuity, Metrc requires careful mapping to transaction workflows, and Aroya depends on plot-centric templates that must be configured before scaling.
Buying for barcode capture but not verifying task automation behavior after scans
GrowFlow explicitly creates tasks tied to plant lifecycle status from barcode scan updates, while Flourish focuses on lifecycle event tracking without plot-level telemetry depth.
Assuming plot-level spatial modeling exists when the operation needs geospatial trial layout
Flourish and TrolMaster Hydro-X App do not cover plot-level telemetry and spatial trial layouts, so trial layout workflows may require a dedicated trial system outside the plant tracker.
Launching without governance planning for permissions and traceability
Metrc relies on disciplined tag usage and careful mapping into its transaction model, and Trym can limit RBAC depth for multi-team governance with fine-grained permissions.
Scaling templates without validating field-template configuration for plot-centric tracking
Aroya requires careful configuration of field templates before scaling, and workflow scaling without template rigor can create downstream reporting gaps.
How We Selected and Ranked These Tools
We evaluated each plant tracking software on how reliably barcode-linked identifiers stay attached to the correct record through scan-to-event and scan-to-task flows, and on whether the event timeline matches the operational handling loop. Features counted for 40% of the score because GrowFlow’s barcode scan updates that automatically create tasks tied to each plant lifecycle status directly affect daily throughput.
Ease and value each counted for 30% because teams need consistent day-to-day operation, and GrowFlow scored higher in ease and value alongside its task automation advantage. We also checked integration breadth by looking at API or webhook event delivery patterns, and we kept tools like Trym and Distru in the set because they provide API-accessible events or webhook events for moving trial events into external pipelines.
Frequently Asked Questions About plant tracking software
How do GrowFlow, Trym, and Aroya differ in how they model lifecycle events for plant or plot tracking?
Which tools support barcode-first workflows and what data consistency mechanism do they use?
What breaks if a team needs plot-level telemetry and spatial trial layout instead of plant-only lifecycle logging?
How do Distru and Metrc handle audit requirements and admin governance for changing records?
When should greenhouse teams choose webhook and API workflows over built-in integrations?
Which platform is better suited to regulated tag and movement tracking across sites, and where do non-regulated tools fall short?
How do MyPlantShop and Aroya keep field observations consistent across multiple operators?
What tradeoff occurs when switching from station-polled environmental logging to event-only plant tracking?
How should teams plan data migration when moving from spreadsheets to barcode-tagged record systems in GrowFlow, MyPlantShop, or TrolMaster Hydro-X App?
How do RBAC, audit logs, and role separation work in Distru versus GrowFlow for multi-role greenhouse teams?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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