GITNUXSOFTWARE ADVICE
SalesTop 10 Best Timesheet Software of 2026
Top 10 Timesheet Software ranking with technical comparison notes for teams, including Toggl Track, Tempo Timesheets, and Clockify.
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.
Toggl Track
Webhooks for time-tracking events let external systems sync changes without polling.
Built for fits when teams need time capture plus API and integration-based reporting control..
Tempo Timesheets
Editor pickTempo’s Jira-linked time entry model ties work logs to issues and approval workflows for consistent reporting.
Built for fits when Jira-based teams need structured timesheets, approvals, and integration automation with admin governance..
Clockify
Editor pickAPI-based time entry and project synchronization for automating ingestion into other systems.
Built for fits when teams need structured time entry data and API-driven sync to billing or capacity tools..
Related reading
Comparison Table
This comparison table maps timesheet software across integration depth, data model design, and automation and API surface, so readers can assess how each tool fits into existing systems. It also contrasts admin and governance controls, including provisioning, RBAC, and audit log coverage, to show how configuration and oversight work at scale. Each row highlights concrete tradeoffs in schema, extensibility, and operational throughput for tools such as Toggl Track, Tempo Timesheets, Clockify, QuickBooks Time, and Hubstaff.
Toggl Track
self-serveTime tracking with project structures, approvals via workspace workflows, and API-driven automation for integrations and data sync.
Webhooks for time-tracking events let external systems sync changes without polling.
Toggl Track’s core data model ties time entries to users, projects, clients, and tags, then turns that schema into filtered reports and exports. Integration depth is strongest with work management and productivity tools where time entry context stays attached to the same entities. Automation and API surface include webhooks for event-driven actions and an API for creating and updating time entries, projects, and related metadata. Extensibility is driven by predictable REST endpoints and consistent identifiers that enable higher-throughput sync between systems.
A tradeoff appears in deep governance for large multi-tenant organizations. Workspace-level controls cover user access and administration, but fine-grained RBAC for every time-entry field is not the same level as platforms built around enterprise audit workflows. Toggl Track fits teams that need reliable time capture plus external sync, such as agencies syncing billing-ready categories or product teams exporting tagged time to payroll and finance systems.
- +API supports time-entry CRUD and project management entities
- +Webhooks enable event-based automation around tracking changes
- +Data model keeps time entries linked to client, project, and tags
- +Reporting and exports align to the same entry schema
- –RBAC granularity for time-entry fields is limited versus enterprise controls
- –Some automation depends on external orchestration for multi-step logic
Agency operations teams
Billable work tagged by client and project
Fewer billing category mismatches
Finance and payroll analysts
Standardized time exports for payroll
Reduced manual reconciliation work
Show 2 more scenarios
IT and engineering teams
Automated time sync from work logs
Automated throughput for tracking
Create or update time entries via API and trigger downstream actions using webhooks.
Team leads and managers
Governed time reporting across projects
Clearer project-level visibility
Use workspace access controls and filtered reports to monitor utilization by project and tag.
Best for: Fits when teams need time capture plus API and integration-based reporting control.
More related reading
Tempo Timesheets
Jira timesheetsTimesheets for Jira with a schema tied to Jira entities, plus configurable validations, permissions, and APIs for automation.
Tempo’s Jira-linked time entry model ties work logs to issues and approval workflows for consistent reporting.
Tempo Timesheets fits teams already standardized on Jira and need timesheets tied to work issues, users, and project structures. The data model aligns time with Jira work using entities like users, issues, projects, and Tempo time constructs, which reduces mapping work during reporting. Automation and extensibility are supported through Tempo’s API surface plus Jira-native automation hooks, which helps with provisioning and controlled ingestion of time records. Governance is handled through RBAC and configuration controls that govern who can edit, approve, or export time entries.
A tradeoff appears when teams need timesheet capture unrelated to Jira objects, since time entry governance and reporting dimensions follow Tempo and Jira schemas. For organizations with dedicated project templates and consistent issue lifecycles, Tempo’s approval and reporting workflow reduces rework. For organizations migrating from free-form spreadsheet capture, upfront schema alignment and configuration of reporting dimensions reduces downstream inconsistencies. Tempo is also a better fit when admin teams need predictable throughput across many users because approvals and edits run against structured entities.
- +Jira-linked time data model aligns issues, users, and projects
- +Approvals workflows map cleanly to Jira team processes
- +API and automation support controlled provisioning and integrations
- +RBAC and configuration reduce unauthorized time edits
- –Time governance and reporting depend on Tempo and Jira schemas
- –Non-Jira work models require extra integration and mapping
Project management teams
Issue-based timesheets with approvals
Fewer rework cycles in reporting
Revenue operations teams
Billable categories and dimension reporting
More accurate utilization views
Show 2 more scenarios
Platform integration engineers
API-driven time provisioning
Controlled ingestion at scale
Integrators use Tempo’s API surface to push or validate time entries with schema-aware logic.
IT governance admins
RBAC and edit restrictions
Reduced access and compliance risk
Admins enforce permission boundaries for edits and exports while keeping audit trails through governed workflows.
Best for: Fits when Jira-based teams need structured timesheets, approvals, and integration automation with admin governance.
Clockify
API-firstWeb and API-supported time tracking with role-based access, project and client grouping, and export for timesheet reporting.
API-based time entry and project synchronization for automating ingestion into other systems.
Clockify supports time tracking workflows across projects, clients, and tasks, including manual entry and timesheets by date for structured review. The data model centers on time entries tied to users and projects, which makes reporting dependable for utilization and cost views. Admin and governance features include workspace controls for users and roles, plus auditability through time change visibility in the activity trail.
Integration depth is strongest when external systems can consume or push structured time entries via the API. The tradeoff is that complex time normalization and project mapping logic often sits outside Clockify because the schema for downstream accounting still requires transformation. Clockify fits when operations teams need consistent time entry schemas and repeatable reporting, with automation that transfers entries into billing or resource planning.
- +Time entries map cleanly to projects and users for repeatable reporting
- +Admin controls include workspace user management and access boundaries
- +API and integrations support automation for time sync to other systems
- +Exports support payroll and billing workflows without rebuilding reports
- –Automation often requires external mapping for client and task hierarchies
- –Some governance needs rely on process discipline around timesheet review
Revenue operations teams
Sync billable time into invoicing
Fewer manual invoice adjustments
Project management teams
Track capacity by task and date
More accurate capacity planning
Show 2 more scenarios
Finance and payroll operations
Export time for payroll reconciliation
Faster payroll data preparation
Finance can pull time exports and reconcile them against internal rules for pay periods and allocations.
Systems administrators
Automate user and time provisioning
Lower manual integration workload
Admins can use API-driven automation to provision access and sync time records to downstream tools.
Best for: Fits when teams need structured time entry data and API-driven sync to billing or capacity tools.
QuickBooks Time
accounting-adjacentTimesheets and time tracking designed for payroll and project reporting with administrative controls and accounting workflows.
Employee timesheet capture paired with manager approval workflows that write time entries into QuickBooks accounting-ready structures.
QuickBooks Time is a timesheet solution that focuses on scheduled time capture, approval workflows, and payroll-ready exports. Integration depth centers on the QuickBooks ecosystem, where time entries map to projects, customers, and accounting classes.
The data model organizes work by employee, time period, and assignment details, which supports consistent reporting and audit trails. Automation and extensibility depend on Intuit integrations and admin-governed configuration rather than high-throughput custom time-entry APIs.
- +Ties time entries to QuickBooks accounting dimensions for consistent reporting
- +Supports manager approval workflows for controlled timesheet submission
- +Role-based permissions limit who can edit or approve time
- +Exports and accounting sync reduce manual reconciliation work
- –Custom automation options are constrained compared with API-first time tools
- –Less flexibility for bespoke time-entry schemas beyond supported assignment fields
- –Audit and configuration visibility can require navigation across multiple admin areas
- –Limited evidence of high-throughput programmatic time entry ingestion
Best for: Fits when teams run timesheets inside the QuickBooks ecosystem and need controlled approvals with predictable exports.
Hubstaff
distributed-teamTime tracking for distributed teams with admin settings, timesheet reports, and integrations that support automated syncing.
Approval workflows on timesheets with RBAC and audit trails tied to tracked time entries.
Hubstaff records work time through web and desktop time tracking and ties entries to projects and tasks. It adds attendance reporting, payroll-ready timesheets, and role-based access for managers reviewing timesheets.
Integration depth centers on its API and workflow automations that connect time data to external systems and reconcile activity by user and project. Admin governance includes organization controls for permissions and auditability around time entries and approvals.
- +Time tracking outputs structured timesheet data by user, project, and date
- +API supports programmatic access to time, projects, and user entities
- +Automation ties tracked activity to approvals and reporting workflows
- +RBAC restricts who can edit, approve, and export timesheet records
- +Audit trails support review of time entry changes and approval state
- –Automation options can require API or integrations for advanced rules
- –Granular admin controls for data retention are limited compared to audit-centric suites
- –Third-party integration coverage may not match specialized workforce systems
- –Schema customization for nonstandard timekeeping workflows is constrained
Best for: Fits when mid-market teams need tracked time to flow into reporting systems with controlled access.
Harvest
project timeTime tracking and timesheet reporting with invoicing-ready project data, plus integrations and APIs for automated workflows.
Harvest API with time entry and project schema endpoints for external provisioning, reconciliation, and automation.
Harvest fits teams that need time capture tied to projects, clients, and budgets with reporting that stays consistent across users and roles. It stores time, expenses, and project assignments in a clear data model and supports approvals and rate handling for payroll and invoicing workflows.
Harvest’s integrations with work and identity tools focus on syncing work context and controlling access, not just exporting reports. Automation is delivered through configuration options plus an API surface used for time entry, project data, and operational querying.
- +Clean data model for time entries, projects, clients, and expenses
- +API supports time entry creation and updates for external systems
- +Project and client hierarchy supports structured reporting schemas
- +Role-based permissions control access to workspaces and admin actions
- +Audit logging records key administrative and workflow events
- +Integrations sync work context for tools like Jira and GitHub
- –Automation is limited to supported endpoints and documented workflows
- –Complex governance needs extra process design around approvals
- –Webhooks and event automation are narrower than full custom pipelines
- –Bulk operations require careful throttling for higher throughput
Best for: Fits when teams need time and expense tracking tied to projects, with API-driven automation and controlled access.
Workyard
field-opsJob-based time tracking with offline capture, role controls, and operational reporting for workforce scheduling and timesheets.
Approval workflows that move timesheets through status states while maintaining a work-linked schema for audit and reporting.
Workyard pairs timesheet capture with a work-level data model that ties time entries to tasks and projects. It provides workflow automation for timesheet status, approvals, and schedule driven updates across teams.
Integration depth centers on connectors and an API surface for syncing users, projects, and time data into external systems. Admin governance focuses on roles, auditability of changes, and configuration controls for organizational rollout.
- +Time entries link to projects and tasks for consistent downstream reporting
- +Workflow automation handles approvals and status changes without manual tracking
- +API and integrations support user and work data synchronization
- +Role-based access controls restrict timesheet visibility and approval actions
- +Configuration options reduce rework across multi-team deployments
- –Automation rules can require careful setup to match edge case staffing workflows
- –API coverage for niche custom fields depends on available endpoints and schema mapping
- –High customization increases configuration overhead for administrators
- –Complex approval chains can add operational friction during fast schedule changes
Best for: Fits when mid-market teams need work-linked timesheets with workflow automation and governed access controls.
When I Work
workforceWorkforce time and scheduling with time capture features, permissions, and reporting that can support timesheet processing.
Shift-based timesheet submission with approval states stored against scheduled assignments.
When I Work is a timesheet and workforce scheduling system that connects time data to shift planning and payroll workflows. It supports role-based access for managers and employees and maintains a time-entry data model with approval states tied to assignments.
Automation centers on approvals, reminders, and schedule-based timesheet inputs rather than free-form rules. Integration depth relies on documented API access for importing, syncing, and operational automation.
- +Time-entry records map to shifts, approvals, and attendance events
- +RBAC supports separate manager and employee permissions
- +API enables time, schedule, and employee data synchronization
- +Approval workflows reduce rework from late edits
- –Extensibility depends on API coverage for specific edge cases
- –Automation beyond approvals and reminders is limited for custom logic
- –Audit and governance controls are less detailed than enterprise compliance needs
- –Data schema complexity can increase effort for accurate downstream mapping
Best for: Fits when mid-size teams need shift-linked timesheets with approval workflows and API-based data sync.
OneDesk
project servicesTime tracking and timesheet workflows aligned to service delivery records with role-based controls and reporting for utilization.
Approval workflow engine with role-based control that records timesheet lifecycle changes for audit-ready governance.
OneDesk builds timesheets tied to project work, then turns entries into exportable reporting for payroll and billing workflows. It centers on a configurable data model that maps people, roles, projects, tasks, and approvals into a consistent schema.
OneDesk supports integrations for identity, work tracking, and finance workflows, with API-based automation for schedule rules and status changes. Admin governance focuses on permissioning and auditability across workspace configuration and timesheet lifecycle events.
- +Configurable timesheet schema maps projects, tasks, roles, and approvals to one data model
- +API supports automation for status transitions and bulk updates to timesheet records
- +Integration coverage reduces manual entry across identity, work tracking, and finance workflows
- +Approval workflows connect timesheet changes to audit-ready reporting outputs
- –Automation setup can require careful mapping between external systems and OneDesk fields
- –Complex approval chains need deliberate governance to avoid reviewer bottlenecks
- –RBAC granularity may not cover every edge case in large cross-org setups
- –Reporting exports depend on consistent upstream data alignment to avoid mismatches
Best for: Fits when teams need a controlled timesheet lifecycle with API-driven automation and deeper integration mapping.
Jibble
attendance-to-timesheetBrowser and device time tracking with attendance capture, timesheet exports, and admin controls for multi-site teams.
API plus audit history for time-entry and approval events, enabling governed automation and traceable changes.
Jibble fits teams that need timed work capture plus administrative control over how time data is produced and corrected. It combines timesheet tracking with approvals and project or client assignment so the data model stays consistent across users and reporting periods.
Jibble supports integrations that move attendance and time entries into other systems, and it includes an API surface for automation jobs like syncing schedules, posting approvals, and building reporting pipelines. Its governance features like roles and audit trails help administrators review changes without hunting through exports.
- +API supports automation for syncing time entries and approval workflows
- +Admin controls map roles to access for timesheets and reports
- +Project and client assignment keeps a consistent time-entry schema
- +Audit trails help investigate edits and approval changes
- –Automation depth depends on integration coverage for existing HR and payroll stacks
- –Approval rules require configuration that can become complex at scale
- –Reporting customization can require external aggregation via API
Best for: Fits when mid-size teams need controlled timesheet data with an API-driven integration path.
How to Choose the Right Timesheet Software
This buyer's guide covers how to evaluate timesheet software using concrete integration depth, data model fit, automation and API surface, and admin and governance controls. It compares Toggl Track, Tempo Timesheets, Clockify, QuickBooks Time, Hubstaff, Harvest, Workyard, When I Work, OneDesk, and Jibble.
The guide translates those capabilities into selection steps that target real implementation risks like approval workflow drift, schema mapping gaps, and incomplete RBAC for time edits. It also points out common configuration pitfalls that show up differently in Tempo Timesheets, Harvest, and Hubstaff.
Timesheet systems that store time against a governed work schema
Timesheet software records time entries and stores them against a structured data model like users, projects, clients, issues, shifts, tasks, and approval states. The core job is to make time capture consistent so payroll, invoicing, and capacity reporting can pull the same fields every time.
Tools like Tempo Timesheets tie time entries directly to Jira entities so approvals and reporting dimensions follow Jira work structure. Tools like Toggl Track pair timer and manual capture with an API plus webhooks so external systems can sync time-entry changes without polling.
Evaluation criteria for integration depth, schema control, and governed automation
The fastest way to fail a timesheet rollout is to pick a tool whose data model cannot represent the work objects and approval states used downstream. That shows up as client task mapping work, manual reconciliation, or gaps in who can edit time.
The next risk is automation throughput and control. Tools with documented API endpoints and event hooks like Toggl Track and Harvest reduce the need for brittle exports.
API-driven time-entry CRUD with entity linking
A time-entry data model with API support for create, read, update, and project assignment controls how integrations provision and reconcile time records. Toggl Track supports API-driven time-entry CRUD and keeps time entries linked to client, project, and tags, while Harvest exposes API support for time entry creation and updates tied to project data.
Event automation via webhooks for time changes
Webhook event delivery lets external systems react to tracking updates without polling and without export job windows. Toggl Track provides webhooks for time-tracking events so external systems sync changes around tracking changes instead of waiting for periodic pulls.
Schema fit to your work model with first-class objects
A tool wins when its schema matches how work is already structured, so approvals and reports remain consistent. Tempo Timesheets uses a Jira-linked model where time entries tie to issues, users, and projects, while When I Work stores time against shifts and approval states tied to scheduled assignments.
Approvals workflow state with RBAC controls and auditability
Governance requires both approval states and role controls so only permitted users can submit or edit. Hubstaff pairs timesheet approval workflows with RBAC and audit trails tied to tracked time entries, while OneDesk provides an approval workflow engine that records lifecycle changes for audit-ready governance.
Integration depth that supports provisioning and reconciliation
Integration depth matters when time must move across identity, work tracking, and finance systems with consistent identifiers. Harvest focuses on syncing work context for tools like Jira and GitHub, and Clockify provides API-based time entry and project synchronization designed for automation into other systems.
Admin controls for workspace and governance configuration
Admin governance includes user and workspace management plus configuration controls that prevent unauthorized edits. QuickBooks Time ties role-based permissions to edit and approve flows and organizes time by employee and time period to support accounting-ready structures.
A control-first decision framework for selecting the right timesheet tool
The selection process should start with the schema and workflow objects that must appear in your downstream system. Then the API and automation surface is validated against the data model you picked.
Integration depth and governance controls decide whether adoption scales beyond a single team. Tempo Timesheets, Harvest, and Toggl Track differ most in how tightly automation stays aligned to their stored time schema.
Map required work objects to the tool’s stored data model
List the objects that must anchor a time entry in reporting, such as Jira issues in Tempo Timesheets, shifts in When I Work, or project and client hierarchies in Clockify. Choose a tool whose stored entities match those objects so approvals and reporting pull from a consistent schema.
Confirm API and event surfaces for the automation style that fits the rollout
If near-real-time sync is required, prioritize Toggl Track for webhook-driven automation around time-tracking events. If the rollout depends on provisioning and reconciliation jobs, prioritize Harvest for time entry and project schema endpoints and API-based updates.
Define the approval lifecycle and validate RBAC fit to roles that edit time
Treat approvals as a data workflow with explicit states and controlled permissions. Hubstaff pairs approval workflows with RBAC and audit trails, while OneDesk provides a workflow engine that records lifecycle changes for audit-ready governance.
Test integration mapping workload for client and task hierarchies
If client and task hierarchies do not match the tool’s native hierarchy, integration mapping becomes an operational cost. Clockify can automate ingestion using API and project synchronization, but client and task hierarchy mapping can require external mapping work depending on your structure.
Validate governance coverage for multi-team deployments
Admin governance must cover both access and audit trails across workspaces. Hubstaff and Jibble include audit trails for investigating edits and approval changes, while QuickBooks Time relies on role-based permissions and manager approval workflows designed for predictable accounting-ready structures.
Which teams get measurable value from a governed timesheet system
Timesheet software fits teams that need time stored against structured work objects and then moved into payroll, invoicing, or capacity reporting with auditability. The best fit varies by how the work model is represented and how much automation the organization runs through APIs.
Organizations also differ in whether governance is handled in-app through RBAC and approval state or through external process discipline. Tempo Timesheets, Toggl Track, and Harvest align most directly with integration-led rollouts.
Jira-first teams that need issue-linked time, approvals, and reporting consistency
Tempo Timesheets stores time against Jira entities so approvals and reporting dimensions track Jira work structure. This is the strongest fit when the Jira workflow is the operational center and integrations must stay aligned to that schema.
API-led integration teams that want time-entry sync without export windows
Toggl Track supports time-entry CRUD and project management entities through an API plus webhooks for tracking-change events. Harvest also supports API-driven time entry and project provisioning and helps reconcile time data via its project and time schema endpoints.
Teams sending structured time into billing, payroll, or capacity systems that expect project and task mapping
Clockify focuses on project and task-level time entries with exports designed for payroll and billing workflows plus API-based synchronization. This works best when the downstream systems consume project-linked time data and accept hierarchy mapping logic when needed.
Finance-centered teams already running time and approvals inside QuickBooks workflows
QuickBooks Time ties employee timesheet capture and manager approval workflows into QuickBooks accounting-ready structures. This fits organizations that need predictable exports and reporting aligned to QuickBooks accounting dimensions.
Shift and workforce planning teams that need shift-linked approvals and submission records
When I Work records time against shift assignments and stores approval states tied to scheduled assignments. This supports shift-driven timesheet processing and reduces manual reconciliation between schedules and timesheets.
Timesheet selection mistakes that create mapping work and governance gaps
Mistakes usually come from choosing a tool whose stored schema does not match the organization’s work objects and approval model. That mismatch forces manual mapping and makes audit trails harder to interpret.
Another common mistake is under-scoping event automation and RBAC coverage for time edits and approval actions. These gaps show up differently across Toggl Track, Harvest, and Hubstaff where API depth and RBAC granularity vary.
Choosing a tool that cannot represent the same work objects used for approvals and reporting
Tempo Timesheets excels when Jira issues are the anchor, while When I Work fits when shifts are the anchor. Avoid forcing client, task, and shift concepts into a mismatched schema since it increases downstream reporting mismatches.
Building automation around exports instead of validating API and event hooks
Toggl Track offers webhooks for time-tracking events so external systems can sync time changes without polling. Harvest provides API endpoints for time entries and project schema, so integration jobs can reconcile data without relying on export timing.
Assuming RBAC controls cover every time-edit and approval action needed at scale
Hubstaff includes RBAC for edit, approve, and export flows tied to approval workflows and audit trails. Toggl Track supports API control but has limited RBAC granularity for time-entry fields compared to enterprise controls, so test role requirements early.
Underestimating hierarchy mapping work for client and task structures
Clockify can automate ingestion using API-based time entry and project synchronization, but client and task hierarchy mapping can require external orchestration. Harvest’s clean project and client hierarchy helps when those hierarchies already match the tool’s structure.
Allowing approval workflows to become process-based rather than schema-based
OneDesk records timesheet lifecycle changes through its approval workflow engine for audit-ready governance. Workyard also moves timesheets through status states while keeping a work-linked schema, which reduces reliance on manual tracking during approval changes.
How We Selected and Ranked These Tools
We evaluated Toggl Track, Tempo Timesheets, Clockify, QuickBooks Time, Hubstaff, Harvest, Workyard, When I Work, OneDesk, and Jibble using features depth, ease of use, and value, then calculated an overall rating as a weighted average where features carries the most weight at 40 percent. Ease of use and value each account for the remaining share, with scoring driven by how the stored time schema, automation and API surface, and governance mechanisms work together.
This methodology stays grounded in the provided product capabilities and constraints described for each tool, not in lab benchmarks or private experiments. Toggl Track set the pace because its standout webhooks for time-tracking events and its API support for time-entry CRUD kept integrations synchronized to the same time-entry schema, which improved both automation behavior and practical usability in the ranking.
Frequently Asked Questions About Timesheet Software
How do Toggl Track and Harvest differ in the way they structure time data for reporting?
Which tools provide deeper Jira linkage for timesheets and approvals?
What integration mechanism matters most for syncing time entries into other systems?
How do admins control access to time entries and auditability across these products?
Which platform best fits shift-based timesheets connected to scheduling?
How do Tempo Timesheets and QuickBooks Time differ in workflow governance and exported accounting structures?
Which tools support data migration and external provisioning through API surfaces?
What is the tradeoff between structured approval workflows and free-form time capture?
Which product best supports end-to-end mapping from time to payroll and billing outputs?
How do these tools handle common admin issues like corrected entries and traceable changes?
Conclusion
After evaluating 10 sales, Toggl Track stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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