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Financial Services InsuranceTop 10 Best Insurance Underwriting Software of 2026
Top 10 insurance underwriting software ranked by feature fit, with comparisons of Duck Creek Policy, Cytora, Earnix, for insurers.
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
Duck Creek Policy is the best fit for carriers that need governed, automated underwriting tied to policy and rating systems, whereas Cytora suits teams that want AI-led triage and decisioning with controlled referrals and API integration; if you want a low-cost entry, hyperexponential is worth a look for auditable, API-based routing.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Duck Creek Policy
Authority-matrix driven referral routing that keeps exception decisions accountable across underwriting workflow states.
Built for fits when carriers need automated underwriting with governed rules, referrals, and integration to policy and rating systems..
Cytora
Editor pickExplainable decision traces that map inputs to eligibility, referral, or straight-through outcomes for underwriting review.
Built for fits when carriers want automated underwriting decisions with controlled referrals and API-based system integration..
Earnix
Editor pickDecision logic versioning with controlled rollout for underwriting outcomes across rule changes.
Built for fits when underwriting teams automate decisions with governed referrals and API-connected systems..
Related reading
Comparison Table
Duck Creek Policy
enterpriseDuck Creek Policy manages product configuration, quoting, rating, underwriting, and policy administration.
Authority-matrix driven referral routing that keeps exception decisions accountable across underwriting workflow states.
Duck Creek Policy is designed for underwriting decision execution that can route cases through referral queues based on eligibility and authority rules. Quote generation and bind workflow can be driven by configurable logic tied to risk attributes, exposure fields, and submission data. The system also supports underwriting change control through versioning concepts so different logic sets can apply across product releases or effective dates.
A key tradeoff is that high reuse across products increases configuration scope, so governance processes matter for keeping rules consistent and auditable. Duck Creek Policy fits when large carrier teams need automated straight-through processing with targeted human review on exceptions, such as high-risk eligibility breaks or non-standard submissions.
Integration depth is a deciding factor for fit, since the underwriting workflow output must align with rating engine inputs and policy administration persistence. The typical best fit appears when upstream intake sources and downstream policy systems are already structured for API-based integration.
- +Versioned underwriting logic supports controlled product and guideline releases
- +Referral and authority routing supports human-in-the-loop exception handling
- +Workflow orchestration connects underwriting decisions to bind and policy persistence
- +API-based integration supports end-to-end handoffs to rating and policy systems
- –Configuration governance requires disciplined release and ownership processes
- –Broad configuration surface can slow early rule authoring for small teams
- –Exception workflows often need careful design to avoid queue sprawl
- –Deep integration increases implementation coordination across systems
Carrier underwriting operations
Automate submissions with exception referrals
Faster decisions with controlled review
Insurance product governance teams
Version guidelines across releases
Predictable guideline application
Show 2 more scenarios
Systems integration teams
Connect underwriting to rating and policy
Fewer mismatches in policy data
Coordinates API-based handoffs so underwriting inputs and outputs persist consistently downstream.
Claims and servicing stakeholders
Trace decisions through bind
Clear audit trail for reviews
Maintains an auditable decision trail that links underwriting outcomes to the bound policy record.
Best for: Fits when carriers need automated underwriting with governed rules, referrals, and integration to policy and rating systems.
More related reading
Cytora
vertical specialistCytora uses artificial intelligence to triage commercial insurance submissions and support underwriting decisions.
Explainable decision traces that map inputs to eligibility, referral, or straight-through outcomes for underwriting review.
Cytora is positioned for organizations that already structure underwriting guidelines into machine-executable logic and need versioned changes without slowing quote throughput. It supports automation around application triage, referral queue routing, and decision explainability so underwriters can see which inputs triggered an outcome. The integration depth is driven by API-based workflows that connect third-party data, internal underwriting systems, and downstream quote or bind steps.
A tradeoff appears in governance and change management, because rules updates typically require disciplined alignment between underwriting staff expectations and the implemented decision logic. Cytora fits best when submission volume is high enough that manual eligibility checks and repeated guideline interpretation become a bottleneck, and when teams need human-in-the-loop overrides only for defined edge cases.
- +API-first integration supports external enrichment and downstream system calls
- +Human-in-the-loop handling routes referrals to defined authorities
- +Automation covers triage, eligibility, and straight-through decision paths
- +Decision explainability supports underwriting reviews and overrides
- –Rules change management needs careful governance and testing discipline
- –Advanced workflow modeling can require more implementation effort than rule-only tools
- –Operational tuning depends on data quality and attribute completeness
- –Some workflow steps may need custom connectors for legacy systems
Underwriting operations teams
Automate submission triage and referrals
Lower cycle time per submission
Rates and rating integration teams
Coordinate decisioning with rating engines
Fewer rework loops across systems
Show 2 more scenarios
Insurance compliance stakeholders
Support audit-friendly rule changes
Faster review of guideline changes
Versioned decision logic and traceable outcomes provide a review trail for guideline updates.
Chief underwriting officers
Apply authority matrices to overrides
More consistent override decisions
Referral rules enforce defined authority paths for human-in-the-loop decisions on exceptions.
Best for: Fits when carriers want automated underwriting decisions with controlled referrals and API-based system integration.
Earnix
vertical specialistEarnix provides insurance pricing, rating, underwriting, and decisioning software.
Decision logic versioning with controlled rollout for underwriting outcomes across rule changes.
Earnix is a strong fit when underwriting teams need decision automation that stays traceable from submission triage to refer or approve outcomes. The product is built around configurable decision logic and operational rules that map to underwriting guidelines, authority handling, and exception routing. Earnix also targets API-based integration scenarios where bureau data, enrichment feeds, and downstream quote or policy systems must consume the same underwriting inputs.
A key tradeoff is that deep workflow automation depends on disciplined configuration of decision logic and referral paths, since gaps surface as misroutes or excessive referrals. Earnix works best for carriers or MGAs running straight-through processing for eligible risks and switching to human review for edge cases in a structured referral queue.
- +Configurable decision logic supports eligibility and authority-based referrals
- +API-oriented integration supports feeding rating and underwriting systems
- +Versioned rule changes support controlled updates across workflows
- +Human-in-the-loop referral paths reduce silent overrides
- –Workflow automation needs careful configuration and ongoing governance discipline
- –Complex guideline coverage can require multiple rule layers to maintain
- –Exception handling setup can increase time before production rollout
- –Integration projects may need joint work with downstream policy components
Underwriting operations teams
Automate triage and refer edge cases
Faster handling with tracked exceptions
Actuarial and data teams
Standardize risk attributes across integrations
Fewer attribute mismatches
Show 2 more scenarios
Software and integration teams
Connect underwriting to quote and policy systems
Lower custom glue code
Integrate submission intake and decision outcomes through API-driven interfaces.
Carrier underwriting leadership
Control authority handling for submissions
Consistent escalation behavior
Apply authority rules to determine when underwriting approves, refers, or requires review.
Best for: Fits when underwriting teams automate decisions with governed referrals and API-connected systems.
Majesco
enterpriseMajesco provides insurance software for product development, underwriting, policy administration, and claims.
Authority matrix driven underwriting decisions that route cases into referral queues or auto-approve paths based on configured rules.
Majesco, known in underwriting and policy operations for enterprise insurer implementations, focuses on automating parts of the underwriting workflow and driving straight-through processing where rules allow. Its capabilities center on configurable underwriting guidelines, eligibility and referral logic, and submission intake patterns that support risk selection through to bind-ready handoffs. Majesco also connects underwriting outputs into downstream policy administration and rating activities so carriers can reduce re-keying across systems.
- +Configurable underwriting rules for eligibility, referral, and decision pathways
- +Workflow integration that reduces re-keying into policy administration steps
- +Automation support for submission triage to quote and bind handoffs
- +Extensibility for carrier-specific data elements and processing steps
- –Complex governance needed to keep rules and authority logic aligned
- –User interface breadth for non-technical adjusters can feel limited
- –API and integration work often requires deep target-system mapping
- –Throughput gains depend on how underwriting workload is partitioned
Best for: Fits when insurers need configurable underwriting workflow automation with integration into policy administration and rating systems.
Socotra
API-firstSocotra provides an API-first core insurance platform for product configuration, underwriting, and policy administration.
Versioned, auditable decision execution that ties each underwriting outcome to the configuration applied during evaluation.
Socotra runs insurance underwriting workflow and decision automation from structured rules and configurable intake screens. It supports API-based integration for submission intake, eligibility checks, and quote generation so underwriting systems can exchange risk attributes and decisions without manual rekeying.
Its extensibility centers on configurable business logic that can drive straight-through processing or route exceptions to human review with traceability. Governance features focus on admin controls for rule changes and decision outputs that can be audited across underwriting cycles.
- +API-first underwriting integration for submissions, risk attributes, and decision outputs
- +Configurable intake flows reduce manual triage steps for common submission types
- +Rules-driven decisioning supports referrals and exception handling
- +Decision traceability connects outcomes back to the applied configuration
- –Requires disciplined governance to keep rule changes aligned with authority and versioning
- –Complex product lines can demand more implementation time for end-to-end automation
- –Admin configuration can be difficult to troubleshoot without strong internal process design
- –Deep integration with quoting and policy administration often needs system-specific mapping work
Best for: Fits when insurers need API-driven underwriting workflow automation with configurable decision logic and controlled referrals.
INSTANDA
vertical specialistINSTANDA provides low-code software for insurance product configuration, underwriting, and policy administration.
Audit trail tied to underwriting actions and rule versions, enabling traceable outcomes for authority reviews.
Instânda is an underwriting workflow system aimed at teams that need governed decisioning and case handling across submissions. It focuses on automating eligibility checks and routing decisions through configurable rules and human-in-the-loop referrals.
Operational controls center on auditability for underwriting actions and versioned rule changes, with integration options designed for downstream policy and data systems. INSTANDA is a fit when underwriting teams require policy-grade traceability while keeping decisions explainable to internal authorities.
- +Configurable decision flows for straight-through and referral routing
- +Audit trail for underwriting actions and rule-driven outcomes
- +Versioned rules support controlled underwriting guideline updates
- +Integration options for data and systems needed in bind workflows
- –Rules configuration requires structured underwriting governance discipline
- –Referral queue management can feel heavyweight for low-volume teams
- –Automation coverage depends on available connectors in each deployment
- –Complex workflows can increase admin overhead for rule authors
Best for: Fits when underwriters need governed decision routing with auditable, explainable rule changes.
OneShield
enterpriseOneShield provides insurance core systems for product management, underwriting, policy administration, and claims.
Rule-to-decision traceability that ties each underwriting outcome to the exact configured logic and inputs used at decision time.
OneShield targets underwriting workflow automation with a configurable rules layer and an audit-focused operating record for submissions and decisions. The solution supports end-to-end intake, triage, referral routing, and decisioning so teams can control straight-through processing versus human-in-the-loop outcomes.
Configuration tools map underwriting guidelines into executable logic and track what drove each decision across updates. Integration is oriented around API-based data exchange to connect underwriting decisions to upstream submissions and downstream policy workflows.
- +Configurable referral routing with clear authority handoffs
- +Decision trace records which rules and inputs shaped outcomes
- +API-oriented integration for underwriting decisions into other systems
- +Workflow automation covers intake through decision to handoff
- –Rules configuration needs governance to avoid brittle decision tables
- –Coverage of deeper rating and bureau enrichment depends on integrations
- –Admin tooling favors experienced operators over casual business editors
- –Human-in-the-loop queues require careful tuning for throughput
Best for: Fits when underwriting teams need rules-driven triage and referral routing with API integration into policy workflows.
hyperexponential
vertical specialisthyperexponential provides pricing decision software for commercial insurance underwriting teams.
Referral orchestration that combines rule outcomes with authority-aware routing for consistent human-in-the-loop underwriting.
Hyperexponential is an underwriting software solution focused on automating submission intake, routing, and decisioning from risk attributes to outcomes. Its differentiator is an automation and integration approach that connects underwriting steps to external systems through a documented API surface and workflow-centric configuration.
The tool supports human-in-the-loop underwriting with referral paths when eligibility or authority rules require review. It also provides audit-oriented traceability around underwriting decisions and rule evaluations to support governance across the workflow.
- +API-first integration for submission intake, routing, and decision output
- +Configurable referral and authority routing for human-in-the-loop handoffs
- +Decision traceability across rule evaluation paths and final outcomes
- +Workflow automation reduces manual triage steps for common submission types
- –Rules and workflows require disciplined configuration to avoid routing drift
- –Limited visibility into rating logic compared with dedicated rating-engine products
- –Deep integration effort is needed for legacy policy administration systems
- –Complex authority setups can slow initial onboarding for admin teams
Best for: Fits when underwriting teams need API-based automation with auditable decision routing and controlled referrals.
BriteCore
SMBBriteCore provides cloud policy administration and underwriting software for property and casualty insurers.
Authority-aware referral routing that tracks the rule version and inputs used for each escalated decision.
BriteCore supports underwriting workflow execution by converting submissions into eligibility checks, referral routing, and auditable decision outcomes. The system centers on configurable underwriting rules and the stepwise routing needed for human-in-the-loop handling when authority limits or guideline thresholds are triggered.
Administration features include role-based controls and an audit trail that records decision inputs and rule versions used for each outcome. Integration patterns focus on API-based handoffs for submission intake and quote or downstream policy administration triggers.
- +Rules and routing decisions produce an auditable decision trail
- +API-based handoffs connect underwriting steps to external systems
- +Referral queues support authority-based escalation during review
- +Configuration changes can be tracked to rule versions used
- –Rules configuration requires careful governance to avoid unintended referrals
- –Straight-through processing is limited when workflows need complex human checkpoints
- –Submission intake templates cover core fields but need customization for edge attributes
- –Throughput depends on integration responsiveness from external rating or bureau services
Best for: Fits when underwriting teams need configurable referral routing with auditability and API-driven integrations.
Akur8
vertical specialistAkur8 provides transparent machine learning software for insurance pricing and risk modeling.
Versioned underwriting guideline execution that produces explainable decision traces for straight-through and referral outcomes.
Akur8 is an underwriting workflow system built around rules-driven decisioning, with a focus on consistent risk selection and referral handling. It supports submission intake and triage flows that route work to straight-through processing or human-in-the-loop referral when rules require review.
Configuration is centered on business users defining underwriting guidelines as executable logic so outcomes stay aligned across teams. Integration support targets quote and bind handoffs into policy administration and adjacent rating and data enrichment services.
- +Rules-based underwriting decisions with structured referral outcomes
- +Configurable underwriting workflow routing from intake to decision and bind handoff
- +Automation hooks for submitting decision payloads to downstream quote systems
- +Audit-ready decision traces tied to guideline versions
- –Complex rules setup needs governance to avoid duplicated or conflicting guideline logic
- –Limited visibility into losses and exposure details when external feeds are incomplete
- –Human-in-the-loop escalation often requires additional workflow design effort
- –Integration depth depends on specific downstream policy administration capabilities
Best for: Fits when underwriting teams need rules-driven workflow routing with measurable decision traceability.
Conclusion
After evaluating 10 financial services insurance, Duck Creek Policy 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 insurance underwriting software
Insurance underwriting software in this guide focuses on how underwriting workflow automation makes referral decisions consistent and auditable across intake, eligibility, and bind handoff. The coverage includes Duck Creek Policy, Cytora, Earnix, Majesco, Socotra, INSTANDA, OneShield, hyperexponential, BriteCore, and Akur8. Each tool review highlights the mechanics that move an application from submission intake to straight-through or human-in-the-loop referrals.
The comparison centers on integration depth and automation control so teams can connect underwriting decisions to policy administration and rating systems without losing traceability. Tools such as Duck Creek Policy and Socotra emphasize versioned decision execution with governed routing. Tools such as Cytora emphasize explainable decision traces that map inputs to eligibility, referral, or straight-through outcomes.
Insurance underwriting software for rules-driven decisions, referral routing, and governed audit trails
Insurance underwriting software is the decision and workflow layer that applies configured eligibility, referral, and authority logic to submissions and risk attributes. These systems drive outcomes such as straight-through approvals or human-in-the-loop referral queues while preserving an audit trail tied to the rule logic and inputs used.
Duck Creek Policy and Socotra exemplify guided underwriting workflows by supporting versioned underwriting logic and API-based integration points so decision outputs can feed policy and rating systems. Cytora adds a trace-first approach by providing explainable decision traces that connect underwriting inputs to eligibility outcomes and referral decisions for review.
Underwriting automation controls to compare across rules, routing, and auditability
Underwriting software must decide between straight-through execution and human-in-the-loop referral using configured eligibility rules and authority-based routing. These decisions also need an audit trail that ties each outcome to the exact inputs and rule versions used during underwriting workflow execution.
Authority-aware referral routing that stays accountable across workflow states
Duck Creek Policy uses an authority-matrix driven referral routing model that keeps exception decisions accountable across underwriting workflow states. Majesco also routes cases into referral queues or auto-approve paths using a configured authority matrix.
Versioned decision execution for governed rule and guideline releases
Earnix supports decision logic versioning with controlled rollout so underwriting outcomes remain consistent when rules change. Socotra ties each underwriting outcome to the configuration applied during evaluation using versioned, auditable decision execution.
Traceability that maps decision inputs to eligibility, referral, or straight-through outcomes
Cytora provides explainable decision traces that map underwriting inputs to eligibility, referral, or straight-through outcomes for review. OneShield produces rule-to-decision traceability by recording which configured logic and inputs shaped outcomes at decision time.
API-first underwriting integration for submissions and decision outputs
Cytora supports API-first integration that enables external enrichment and downstream system calls during automated underwriting. hyperexponential also uses API-first integration for submission intake, routing, and decision output.
Governable intake and workflow routing from submission to bind handoff
Socotra includes configurable intake flows that reduce manual triage steps for common submission types and route into decision execution. Akur8 extends rules-driven workflow routing from intake to decision and bind handoff with explainable decision traces.
Audit logs tied to underwriting actions and rule versions for authority review
INSTANDA ties an audit trail to underwriting actions and rule versions so authority reviews can trace decisions back to executed configuration. BriteCore records rule version and inputs for auditable escalation when authority-aware referrals occur.
Choose by decision trace requirements, governance depth, and workflow integration shape
The fastest path to good outcomes is matching the tool’s decision trace and governance approach to how underwriting teams review exceptions and manage rule changes. Different products emphasize authority matrix routing, explainable decision traces, or versioned execution tied to configuration during evaluation.
Start from referral governance and authority handoffs, then fit the routing model
If authority matrix routing must remain consistent across underwriting workflow states, Duck Creek Policy and Majesco provide governed referral and auto-approve pathways with authority logic. If authority handoffs must be explained with rule-to-decision trace records, OneShield focuses on capturing the configured logic and inputs that shaped referral outcomes.
Pick the trace standard based on how underwriters and compliance teams audit decisions
Choose Cytora when reviewers need decision traces that map inputs to eligibility, referral, or straight-through outcomes in a single explanation layer. Choose INSTANDA when audit trail requirements center on underwriting actions tied to rule versions for authority review.
Select versioning controls based on rule release frequency and rollout risk
Choose Earnix when decision logic versioning and controlled rollout must govern eligibility and authority referrals as rule sets change. Choose Socotra when the requirement is auditable decision execution that ties outcomes directly to the configuration applied during evaluation.
Validate integration depth using the workflows that own your submission intake and enrichments
Choose Cytora or Socotra when API-based integration must support submission intake, external enrichment, and downstream decision output calls. Choose hyperexponential when API-first routing must coordinate human-in-the-loop handoffs with submission intake and decision output.
Align automation scope with workflow complexity and bind handoff expectations
If workflows must move through intake, decision, and bind handoff with rules-driven routing, Akur8 provides configured underwriting workflow routing across those stages. If the key requirement is keeping straight-through processing and referral routing governed with auditable outcomes, INSTANDA supports configurable decision flows for both paths.
Stress-test governance burden against team size and rule authoring workflow
If the team expects high governance overhead for versioned rules and authority logic alignment, Duck Creek Policy supports controlled product and guideline releases but can slow early rule authoring for small teams. If rule change management needs careful testing discipline, Cytora and Earnix both require governance discipline to manage rule changes safely.
Which teams should shortlist these underwriting automation tools
Underwriting teams should shortlist based on how referrals get authorized, how decisions get explained, and how rule changes get rolled out without breaking audit requirements. Each tool’s fit becomes clearer once the decision trace output format and integration points match the existing underwriting workflow and policy or rating system boundaries.
Carriers standardizing referral routing with an authority matrix across workflow states
Duck Creek Policy and Majesco both route into referral queues or auto-approve paths using configured authority routing so exception handling stays consistent across underwriting workflow execution states.
Teams that need explainable decision traces for underwriting review and governance
Cytora and OneShield both tie decision outcomes back to inputs and configured logic so reviewers can interpret eligibility and referral outcomes with trace records.
Underwriting operations coordinating frequent guideline releases and controlled rollouts
Earnix and Socotra both emphasize decision logic versioning tied to executed configuration so underwriting outcomes remain explainable after rule updates.
Actuarial and technology groups building API-driven submission intake and decision output pipelines
Cytora and hyperexponential support API-first underwriting integration for submission intake, enrichment calls, and decision output so downstream systems can consume consistent underwriting outputs.
Compliance-focused teams requiring audit trails tied to executed rule versions
INSTANDA and BriteCore record auditable decision trails tied to rule versions and inputs so authority reviews can reconstruct what drove an escalated outcome.
Common underwriting software buying pitfalls that break auditability or throughput
Many failures come from selecting the right rules engine but under-scoping governance, referral workflow management, or integration points. Other failures come from assuming straight-through rates will stay high without validating how complex human checkpoints get modeled.
Choosing a tool based on rule authoring speed while ignoring authority matrix governance discipline
Duck Creek Policy and Majesco both support authority-matrix driven routing, but governance configuration requires disciplined release ownership to keep authority logic aligned with underwriting workflow states.
Assuming decision trace outputs exist without validating the trace granularity and audit linkage to rule versions
Cytora provides explainable traces mapping inputs to eligibility and referral outcomes, while INSTANDA and BriteCore focus on audit trail records tied to underwriting actions and rule versions for authority review.
Building automation around straight-through processing without checking how human checkpoints and referral queues change workflow throughput
INSTANDA supports straight-through and referral decision flows, but referral queue management can feel heavyweight for low-volume teams. BriteCore notes that straight-through processing can be limited when workflows need complex human checkpoints.
Under-scoping API integration for enrichment and downstream system calls
Cytora’s API-first integration supports external enrichment and downstream system calls, while hyperexponential also uses API-based automation for intake and routing. Tools that rely on external feeds can show limits when enrichment inputs are incomplete, as Akur8 does with losses and exposure visibility when external feeds are incomplete.
How We Selected and Ranked These Tools
We evaluated underwriting workflow automation features, including authority-matrix referral routing, versioned decision execution, and traceability that ties outcomes to rule inputs. Features accounted for 40% of the score and ease and value each accounted for 30% of the score.
Duck Creek Policy led the ranking because authority-matrix driven referral routing keeps exception decisions accountable across underwriting workflow states while also supporting versioned underwriting logic for controlled product and guideline releases. The scoring also reflected Duck Creek Policy’s fit for automated underwriting with governed rules, referrals, and integration to policy and rating systems.
Frequently Asked Questions About insurance underwriting software
How do these underwriting platforms plug into submission intake and downstream policy administration systems?
What API capabilities matter for integrating underwriting decisioning with rating engines and third-party data enrichment?
Which tools support SSO and role-based access controls for underwriting teams running human-in-the-loop workflows?
How is rule execution governed to keep underwriting logic consistent across guideline changes?
When a submission triggers referral or authority escalation, how do these systems route work to the right reviewers?
What breaks if underwriting rules are not versioned and traceable during audits and authority reviews?
Which platforms handle explainable decision traces for eligibility versus referral versus straight-through outcomes?
How does data migration typically work when moving existing underwriting guidelines, workflows, or submission schemas into these systems?
Where does extensibility differ if teams need to add custom eligibility rules or integrate nonstandard external workflow steps?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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