GITNUXSOFTWARE ADVICE
Healthcare MedicineTop 10 Best Population Health Management Software of 2026
Ranked comparison of Population Health Management Software with criteria and tradeoffs for buyers, featuring tools like Health Catalyst, Arcadia, athenaNet.
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.
Health Catalyst
Population health data model with configurable cohort and measure definitions governed by RBAC and audit logs.
Built for fits when governed cohort logic and auditable automation are required across care programs..
Arcadia
Editor pickSchema-driven care event and eligibility model with API-accessible automation triggers.
Built for fits when care programs require API-driven automation with strict admin governance and auditability..
athenaNet
Editor pickMeasure-to-workflow automation with API-accessible patient lists and action execution.
Built for fits when managed practices need governed outreach automation and API-based orchestration..
Related reading
Comparison Table
This comparison table maps Population Health Management software across integration depth, including how each tool fits into existing EHR, claims, and data platforms via API surface and extensible schema. It also compares automation scope and governance controls, with attention to provisioning, RBAC, and audit log coverage that affect admin workflows and throughput. The table highlights where data model choices and configuration patterns trade off against automation and API extensibility.
Health Catalyst
analytics and optimizationProvides a population health analytics and care delivery improvement platform with configurable measures, workflows, and integration points for EHR data and care management operations.
Population health data model with configurable cohort and measure definitions governed by RBAC and audit logs.
Health Catalyst provisions a governed data model that supports measure definitions, cohort logic, and quality reporting aligned to population health workflows. Integration depth focuses on pulling data from EHR, claims, and other sources into structured schemas that analytics and operational views can query consistently. Automation and extensibility rely on configuration and an API surface that supports workflow orchestration, not just static dashboards. Admin and governance controls include RBAC and audit logging that track changes across configuration, data definitions, and operational artifacts.
A tradeoff is that richer automation and deeper customization require more upfront schema alignment and governance work than tools that rely on lighter configuration. Health Catalyst fits best when an organization needs controlled cohort logic, repeatable measure calculation, and API-driven automation across multiple teams and reporting lines. Usage is strongest when data throughput requirements and governance review cycles demand an auditable configuration and permission model.
- +Governed population health data model for consistent cohort and measure logic
- +RBAC plus audit logs for configuration changes across teams
- +API and automation surface for orchestration beyond dashboards
- +Integration connectors that map enterprise sources into analytics-ready schemas
- –Deeper schema alignment adds upfront governance and data modeling effort
- –Workflow automation customization can require more implementation than no-code tools
- –Admin overhead rises with multi-team configuration and permission granularity
Quality and performance teams
Standardize measure calculation across lines of business
Fewer metric definition discrepancies
Population health operations
Automate outreach eligibility workflows
Higher outreach targeting accuracy
Show 2 more scenarios
Analytics engineering teams
Integrate EHR and claims into one schema
Reduced duplicate data pipelines
Integration mappings load source data into the shared model for unified analytics and auditability.
Platform and governance admins
Control access to models and workflows
Stronger compliance visibility
RBAC and audit logs track provisioning, configuration edits, and operational changes across teams.
Best for: Fits when governed cohort logic and auditable automation are required across care programs.
More related reading
Arcadia
care orchestrationDelivers population health management software for identifying gaps in care and orchestrating care coordination using rules, automation, and integrations with clinical and operational systems.
Schema-driven care event and eligibility model with API-accessible automation triggers.
Arcadia targets teams that need population workflows to stay consistent across systems such as EHR, claims, and analytics. The data model is schema-driven, which supports controlled ingestion and transformation of clinical and social data into care eligibility and outreach states. The automation surface includes workflow triggers that can be invoked via API and connected to external event streams for higher throughput. Governance includes RBAC for admin actions and audit log trails that record configuration and workflow changes.
A key tradeoff is that schema and workflow configuration require up-front design of entities, mappings, and event contracts to avoid later rework. Arcadia fits when care programs must coordinate eligibility logic and communications across multiple integrations with clear change control. It also fits when teams need extensibility points through APIs rather than only manual operator tooling.
- +Schema-driven data model with explicit entity mapping
- +Documented API supports workflow triggers and event exchanges
- +RBAC and audit log cover admin configuration and governance actions
- –Up-front schema and event contract design increases implementation time
- –Workflow configuration can become complex at high program counts
Population health operations
Automate outreach based on eligibility changes
Fewer missed outreach steps
Clinical informatics teams
Normalize EHR and claims data into care states
Cleaner care-state inputs
Show 2 more scenarios
Integration and platform engineers
Provision workflows and data via automation
Less manual operations work
Arcadia exposes API and automation hooks for schema provisioning and synchronized care workflow updates.
Compliance and governance stakeholders
Audit workflow and configuration changes
Traceable governance decisions
Arcadia records admin actions in audit logs and restricts changes through RBAC controls.
Best for: Fits when care programs require API-driven automation with strict admin governance and auditability.
athenaNet
care management platformSupports population health workflows tied to claims and clinical signals with configuration for reporting, outreach programs, and care management activities across connected systems.
Measure-to-workflow automation with API-accessible patient lists and action execution.
athenaNet is positioned for teams that need population health actions to move from measure logic into operational execution. The data model emphasizes clinical documents, patient-level status, and measure-related state, which supports workflow rules that drive outreach and follow-up. Administration can be governed through RBAC and activity visibility so teams can control who can configure automations and who can export or act on patient lists.
A tradeoff is that deeper automation and integration typically increases configuration overhead compared with point analytics tools. athenaNet fits best when an operations team must orchestrate repeated outreach and closure loops across multiple practices while keeping integration and governance under control.
- +API-driven workflow automation tied to measure and patient status
- +RBAC and audit visibility for configuration and operational actions
- +Configurable outreach and closure workflows for care gaps
- +Extensible data integrations for clinical and operational context
- –Higher setup effort than analytics-only population health tools
- –Workflow configuration can require cross-team coordination
- –Automation throughput depends on upstream data readiness
Care management teams
Automate gaps-to-outreach workflows
Faster care gap closure
Health system integration engineers
Provision workflows via API
Lower manual reconciliation load
Show 2 more scenarios
Practice operations leaders
Govern configuration with RBAC
Controlled change management
Limit who can edit automation logic and review actions through audit logs.
Quality reporting analysts
Track measure performance over time
More consistent performance management
Monitor quality signals and operational execution to support continuous improvement loops.
Best for: Fits when managed practices need governed outreach automation and API-based orchestration.
Chartis
performance analyticsProvides population health reporting and performance analytics with configurable measures and workflow automation aligned to quality and value-based care programs.
RBAC plus audit log for governed changes across automation workflows and data schemas
Chartis targets population health management with a configurable data model, workflow automation, and audit-ready governance controls. Strong integration depth comes from its API and schema-driven approach to connect clinical and operational sources.
Automation and provisioning support let teams define workflows, roles, and environment settings with controlled rollout and measurable throughput. Admin and governance features focus on RBAC, change tracking, and extensibility for custom integrations.
- +API supports schema-driven data exchange across clinical and operational sources
- +Workflow automation supports provisioning and configuration of care programs
- +RBAC and audit log help enforce governance across teams
- +Extensibility supports custom integrations without rewriting core pipelines
- –Schema setup requires careful mapping before workflows can run reliably
- –Automation configuration can feel heavy for small teams without admin support
- –Throughput depends on data quality and event ordering from upstream systems
Best for: Fits when health systems need governed automation with documented API and schema control.
Zircon
care coordinationDelivers population health management capabilities for risk stratification, care plan workflows, and integration with clinical data sources to support care coordination.
Governed workflow provisioning with RBAC and audit-log tracked configuration changes
Zircon provisions population health workflows using a structured data model tied to care programs. Automation rules can create and update care tasks from clinical events, with governance options for role-based access and configuration controls.
Zircon’s integration depth is driven by an API surface that supports schema alignment and programmatic provisioning. Extensibility focuses on repeatable workflow configuration, auditability, and controlled changes across teams.
- +Workflow provisioning tied to a defined care data model
- +API supports schema-aligned automation and program configuration
- +RBAC and governance controls limit changes to authorized users
- +Audit log visibility supports traceability of configuration and actions
- –Complex schema mapping can slow initial onboarding for new sources
- –Higher customization requires careful configuration management
- –Automation rules may need tuning to manage event throughput
- –Admin configuration depth can increase operational overhead
Best for: Fits when teams need governed population health automation with an API-first integration model.
WellSky
health plan care coordinationProvides population health and care coordination solutions with configurable program workflows and data exchange integrations for member outreach and follow-up.
RBAC with audit logging tied to care plan workflow actions and administrative configuration.
WellSky fits organizations that need population health workflows tied to payer, provider, and care management operations. The product centers on care management configuration, task workflows, and referral handling with governance controls for who can view and change records.
WellSky’s integration model supports connecting EHR and other operational systems through documented APIs and partner feeds. Automation and administration focus on RBAC, audit logging, and consistent data schema alignment across programs.
- +Care management workflow configuration with role-scoped access controls
- +Integration pathways for EHR and partner systems via API and feeds
- +Audit log support for administrative actions and record changes
- +Program-level data schema helps keep measures and status consistent
- –Data model tuning is required to align custom programs to schemas
- –Automation rules can become complex across multi-step workflows
- –API surface requires careful mapping between external and internal identifiers
- –Admin configuration increases governance overhead for smaller teams
Best for: Fits when population health programs need governed workflows and deep system integration.
CareJourney
care managementSupports population health management workflows focused on care management, patient engagement, and reporting with configurable automation triggers.
Audit log coverage for configuration and access changes paired with RBAC-scoped governance.
CareJourney centers Population Health Management on integration-first provisioning, so data mapping and workflow automation are driven by a configurable data model. It supports automation via rules and configurable workflows that can react to clinical and operational events across care settings.
Admin controls focus on governance boundaries such as RBAC scoping and audit logging for configuration and access changes. The automation surface includes API-driven extensibility for syncing registries, encounters, and program states into standardized schemas.
- +Integration-led provisioning with configurable schema mapping for consistent population records
- +Automation rules trigger on clinical and operational events across care settings
- +API-driven extensibility supports custom workflows and data synchronization
- +RBAC scoping and audit logs support governance over configuration changes
- –Limited visibility into third-party integration throughput and error replay controls
- –Data model configuration can require schema work before automation can scale
- –Workflow debugging needs clearer tooling for rule evaluation and audit traceability
Best for: Fits when mid-size teams need API-backed population workflows with strong admin governance.
8th & Walton
care coordinationPopulation health analytics and care management workflows with rules, risk and stratification, and integration hooks for clinical and operational data.
API-first workflow provisioning for care programs with auditable configuration changes.
Population Health Management tools like 8th & Walton fit organizations that need governed data flows between EHR, claims, and member systems. 8th & Walton focuses on integration depth, a controlled data model, and configurable automation for care coordination workflows.
The automation and API surface is used to provision program logic, keep rules consistent across teams, and expose events for downstream analytics. Administrative controls support RBAC and audit logging patterns needed for governance and change tracking.
- +Documented integration patterns for EHR and downstream care programs
- +Configurable automation tied to a consistent population and member data model
- +API surface supports event-driven updates and workflow provisioning
- +Governance features include RBAC roles and audit log visibility for changes
- –Automation configuration can require careful schema mapping and ownership of data sources
- –API-driven extensibility depends on stable event and object contracts
- –Complex multi-program orchestration may need administrator tuning to manage throughput
Best for: Fits when health systems need governed integrations plus configurable care coordination automation at scale.
Aledade Care Programs
care operationsPopulation health program tooling for quality reporting and care management operations with API-accessible integrations to practice and payer workflows.
Rule-based patient task generation driven by program enrollment and care-stage events.
Aledade Care Programs provisions population health workflows for care management teams through configurable program definitions and operational rules. Integration depth centers on EHR and data-feed connectivity that supports program enrollment, case workflows, and longitudinal tracking in a shared care model.
Automation relies on rule-based tasks and event triggers that route patients through care pathways with measurable operational throughput. Admin governance is handled through role-based access controls and audit logging for configuration changes and user actions.
- +Program provisioning supports repeatable care pathways across patient cohorts.
- +Workflow automation uses event-driven tasks for patient routing at scale.
- +RBAC restricts access to program configuration and patient-level views.
- +Audit logs track configuration changes and administrative user activity.
- –API surface details for custom schema extensions are not consistently documented publicly.
- –Data model customization for nonstandard program fields can require vendor mediation.
- –Throughput and concurrency behavior for bulk imports needs clearer operational guidance.
- –Cross-system data mapping for complex care plans can add integration effort.
Best for: Fits when program managers need governed care workflows with integration and automation controls.
Cencora MRM
pharmacy population healthMedication-focused population health services workflow software with patient targeting logic and medication management data exchange into clinical systems.
Program configuration tied to a managed data model for rules, measures, and operational workflows.
Cencora MRM fits organizations running complex population health operations across multiple payers and provider partners. Its population health management workflows center on data integration, managed care reporting, and operational orchestration tied to clinical and claims-derived data.
The product emphasizes an explicit data model and configuration so care programs map to measurable outcomes. Automation and API-based extensibility support provisioning of rules and event-driven updates without manual spreadsheet handling.
- +Integration breadth across claims, clinical, and operational data sources
- +Configurable data model supports program-specific measures and workflows
- +Automation surface supports rule execution tied to events and data refreshes
- +API-driven extensibility supports provisioning and workflow expansion
- –Governance relies on careful role design to prevent cross-program data access
- –Schema alignment work can be significant when partners use different identifiers
- –Workflow changes can require structured configuration cycles and validation
- –Operational reporting depends on consistent ingestion throughput and refresh timing
Best for: Fits when large programs need governed data integration and automated rule execution across partners.
How to Choose the Right Population Health Management Software
This guide helps buyers evaluate Population Health Management Software tools by focusing on integration depth, data model design, automation and API surface, and admin and governance controls across Health Catalyst, Arcadia, athenaNet, Chartis, Zircon, WellSky, CareJourney, 8th & Walton, Aledade Care Programs, and Cencora MRM.
Coverage spans governed cohort logic in Health Catalyst, schema-driven care event and eligibility modeling in Arcadia, measure-to-workflow automation tied to patient lists in athenaNet, and RBAC plus audit log enforcement across Chartis, Zircon, and WellSky.
The decision framework also addresses automation throughput risks that depend on upstream data readiness in athenaNet and event ordering in Chartis, and it highlights onboarding effort caused by schema mapping and event contract design in Arcadia, Zircon, and 8th & Walton.
Population Health Management Software for governed care programs, not just reporting
Population Health Management Software manages care programs by connecting clinical and operational sources into a population data model, then routing patients through workflows based on measures, risk, and status signals. These systems reduce care gaps by generating member-level actions from event-driven rules and by tracking program enrollment through longitudinal workflows.
Health Catalyst shows the governed approach by using a population health data model for configurable cohort and measure definitions plus RBAC and audit logs for change control. Arcadia shows the integration-first approach by combining a schema-driven care event and eligibility model with documented API-accessible automation triggers.
Evaluation criteria for integration, schema control, automation contracts, and governance
Population health tooling succeeds when the data model and event contracts are explicit enough to keep cohorts and workflows consistent across teams and programs. The evaluation criteria below prioritize integration depth, data model governance, automation and API surface, and admin controls that produce an audit trail.
Health Catalyst and Chartis score highly when RBAC and audit logging tie directly to schema and automation changes. Arcadia, athenaNet, and 8th & Walton score highly when the API surface exposes workflow triggers and event-driven updates that other systems can consume.
Governed population health data model for cohorts and measures
Health Catalyst leads with a population health data model that supports configurable cohort and measure definitions governed by RBAC and audit logs. Chartis also emphasizes an audit-ready schema approach when teams need documented API-based schema control for automation workflows.
Schema-driven care event and eligibility modeling with API-accessible triggers
Arcadia uses a schema-driven care event and eligibility model that exposes automation triggers through a documented API for schema and event exchange. CareJourney also pairs a configurable data model with API-driven extensibility for syncing registries, encounters, and program states into standardized schemas.
Measure-to-workflow automation with API-accessible patient lists and action execution
athenaNet connects measure tracking to outreach and closure workflows where automation runs on patient status and measure inputs. Aledade Care Programs and Aledade Care Programs use rule-based task generation driven by program enrollment and care-stage events to route patients through care pathways at scale.
API and automation surface for orchestration beyond dashboards
Health Catalyst, Chartis, and athenaNet each highlight API-accessible operations that support orchestration and automation beyond reporting. 8th & Walton adds API-first workflow provisioning with event-driven updates that downstream analytics can consume.
RBAC plus audit logging for configuration and access change traceability
Chartis, Health Catalyst, Zircon, and WellSky emphasize RBAC and audit log visibility so administrators can trace configuration changes and administrative actions. CareJourney also focuses on audit log coverage for configuration and access changes paired with RBAC-scoped governance.
Integration mapping clarity for multi-source throughput and identifier alignment
WellSky and Cencora MRM focus on connecting EHR and other operational systems via documented APIs and feeds, which depends on correct identifier mapping between external and internal systems. athenaNet and 8th & Walton call out that automation throughput depends on upstream data readiness and stable event contracts.
Pick a tool that matches governance depth and automation integration requirements
Start by matching the required governance behavior and audit traceability to the controls in the tool. Next, confirm that the data model approach can represent cohorts, measures, eligibility, and program state in a way that fits the target workflows.
Then evaluate the API and automation surface for workflow triggers, event exchange, and provisioning so care operations and downstream analytics can use the same care-state truth. Finally, validate that the integration and schema mapping effort aligns with team capacity since Arcadia, Zircon, and Chartis all require careful schema mapping before workflows run reliably.
Map required governance to RBAC and audit log coverage
If the deployment needs auditable cohort logic and configuration change traceability across teams, prioritize Health Catalyst for RBAC governed cohort and measure logic with audit logs. If automation and schema changes must be tracked for governed operations, Chartis and Zircon provide RBAC plus audit logging for changes across automation workflows and data schemas.
Choose a data model style that fits your care-state definition work
If the organization must define cohort and measure definitions in a governed schema, Health Catalyst fits because its population health data model is designed for configurable cohort and measure definitions. If care programs need an explicit eligibility and event model for routing, Arcadia fits because its data model is schema-driven and built for care event and eligibility mapping.
Verify the automation contract through the documented API surface
If workflows must trigger other systems using the same care-state events, Arcadia fits because it exposes automation triggers through a documented API for schema and event exchange. If the requirement is measure-to-workflow execution with API-accessible patient lists and action execution, evaluate athenaNet for measure-driven outreach workflows that use API-accessible patient lists.
Plan for integration and schema mapping effort based on upstream data readiness
If upstream data quality and event ordering can be inconsistent, Chartis and athenaNet both tie automation reliability to data quality and event ordering from upstream systems. If programs rely on event-driven throughput at scale, Aledade Care Programs and 8th & Walton emphasize event-driven task generation and API-first workflow provisioning, which still depends on stable event contracts.
Align extensibility and provisioning with admin and ops capacity
If the team needs repeatable workflow provisioning and guarded change control, Zircon fits because its workflow provisioning is governed with RBAC and audit-log tracked configuration changes. If multi-step care management workflows and referral handling require program-level schema consistency, WellSky fits because it pairs RBAC and audit logging with program-level workflow configuration.
Which teams get the most control and automation from these tools
Different Population Health Management Software tools emphasize different tradeoffs in schema work, automation contracts, and governance controls. The segments below reflect the tool-by-tool best-fit statements and the governance and API strengths called out in each product description.
Buyers should select based on whether the work is dominated by governed cohort logic, API-driven workflow triggers, measure-to-workflow outreach execution, or deep care program integration across payers and partners.
Health programs that require governed cohort and measure logic across care programs
Health Catalyst fits because it uses a governed population health data model for configurable cohort and measure definitions with RBAC and audit logs. Chartis also fits when schema control and governed automation changes must be tracked across automation workflows and data schemas.
Care organizations that need API-first workflow triggers tied to explicit eligibility and event contracts
Arcadia fits because its schema-driven care event and eligibility model includes documented API access for automation triggers and event exchanges. CareJourney fits when mid-size teams need API-driven extensibility for syncing registries, encounters, and program states into standardized schemas with RBAC scoping and audit logging.
Managed practices focused on governed outreach and care gap closure automation
athenaNet fits because it provides measure-to-workflow automation where it can generate outreach actions tied to measure and patient status using API-accessible patient lists and action execution. WellSky fits when care coordination programs require governed care management workflow configuration with RBAC and audit logging tied to workflow actions.
Health systems that want governed integrations and scalable orchestration across multiple care programs
8th & Walton fits because it provides API-first workflow provisioning plus configurable automation for care coordination workflows using event-driven updates. Chartis fits when environment settings, roles, and controlled rollouts need measurable throughput with governed automation and audit-ready controls.
Large-scale multi-payer programs where data model configuration and automated rule execution must be governed
Cencora MRM fits because its medication-focused population health workflows center on an explicit data model and API-based extensibility for provisioning rules and event-driven updates. Aledade Care Programs fits when care managers need rule-based patient task generation driven by program enrollment and care-stage events with RBAC and audit logs for configuration and user actions.
Common selection pitfalls that break governance, automation, or integrations
Selection mistakes usually appear when schema governance and automation contracts are underestimated, or when the tool is evaluated only for reporting without checking the automation and API surface. Several tools explicitly call out setup effort tied to schema mapping and event contract design, which becomes a governance and throughput risk if it is ignored.
The pitfalls below map to concrete cons across Arcadia, Zircon, Chartis, athenaNet, and CareJourney and include targeted corrective actions.
Choosing a reporting-first fit when workflows must be API-driven and event-exchange capable
Arcadia and athenaNet expose automation via a documented API surface with event exchange or API-accessible patient lists. Health Catalyst and Chartis also emphasize API and orchestration surfaces, which keeps care events aligned across downstream systems.
Underestimating schema mapping and event contract design effort before automation goes live
Arcadia and Zircon both describe up-front schema and event contract design as a factor that increases implementation time. Chartis and 8th & Walton also require careful schema mapping before workflows run reliably, so evaluation should include time for mapping and governance signoff.
Assuming automation throughput is independent of upstream data readiness and event ordering
athenaNet calls out that automation throughput depends on upstream data readiness, and Chartis ties automation reliability to data quality and event ordering from upstream systems. CareJourney also notes limited visibility into third-party integration throughput and error replay controls, so build an operational monitoring plan alongside integration.
Skipping RBAC and audit log requirements until after multiple teams start configuring programs
Health Catalyst, Chartis, Zircon, and WellSky each tie governance to RBAC plus audit log visibility for configuration changes and administrative actions. Without these controls, multi-team configuration changes become hard to trace, especially when workflows and schemas evolve.
How We Selected and Ranked These Tools
We evaluated Health Catalyst, Arcadia, athenaNet, Chartis, Zircon, WellSky, CareJourney, 8th & Walton, Aledade Care Programs, and Cencora MRM by scoring features, ease of use, and value from the provided review descriptions and capabilities. The overall rating used a weighted average where features carried the most weight at 40 percent, while ease of use and value each accounted for 30 percent. This editorial scoring reflects how each tool balances governed data model design, API automation surface, and admin controls that support traceability.
Health Catalyst separated itself because its standout capability is a population health data model with configurable cohort and measure definitions governed by RBAC and audit logs, and that directly lifts the features score by tying schema governance to auditable automation.
Frequently Asked Questions About Population Health Management Software
What integration pattern shows up most often in Population Health Management software: connectors, API, or both?
Which tools provide API-driven automation triggers rather than just rules inside the UI?
How do population health platforms handle SSO and access governance for admins and care teams?
What data model and schema approach matters for cohort logic and measure definitions across programs?
How do tools manage data migration when mapping enrollments, encounters, and registries into a standardized model?
What admin controls reduce risk during workflow changes, such as rule edits or measure updates?
Which platforms best support extensibility for custom integrations and orchestration logic?
What is a common failure mode when cohort logic or outreach rules do not match downstream execution, and how do tools mitigate it?
Which tool fit best supports payer and multi-partner workflows where rules must run across multiple external data sources?
Conclusion
After evaluating 10 healthcare medicine, Health Catalyst 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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