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Cybersecurity Information SecurityTop 10 Best Security Manager Software of 2026
Top 10 Best Security Manager Software ranking for teams, with technical comparisons of Eramba, Vanta, Drata, and other tools.
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.
Eramba
Control and risk traceability driven by a configurable schema that powers evidence and reporting workflows.
Built for fits when mid-size security teams need governed workflows with API-driven integration and audit traceability..
Vanta
Editor pickControl and evidence status tracking with API-driven workflows for provisioning connectors and updating control mappings.
Built for fits when teams need governed evidence automation across identity and cloud systems without manual audit collection..
Drata
Editor pickControls-to-evidence mapping with a normalized schema plus automation workflows for continuous status updates.
Built for fits when security and compliance teams need governed automation across many SaaS and cloud sources..
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Comparison Table
This comparison table evaluates Security Manager software on integration depth, the underlying data model and schema, and how automation and the API surface support provisioning workflows. It also contrasts admin and governance controls such as RBAC, audit log coverage, configuration options, and extensibility paths that affect policy throughput and sandbox testing.
Eramba
GRC controlsOpen-source GRC platform that models ISO-style risk, controls, and policies with configurable frameworks, workflow automation, evidence collection, and role-based access controls.
Control and risk traceability driven by a configurable schema that powers evidence and reporting workflows.
Eramba models security management artifacts as interconnected entities and uses that schema to drive assessment questionnaires, control mappings, and evidence requests. Integration depth is supported through an API surface that enables external systems to push or read entities, statuses, and reports. Automation centers on scheduled tasks, workflow states, and link-aware reporting that updates when relationships change.
A tradeoff appears in operational discipline. Teams need consistent tagging and relationship setup to avoid fragmented reporting across controls, risks, and assets. Eramba fits best when security governance processes already map to controls and assessments, and when audit-ready traceability must be maintained through repeated cycles.
- +Configurable data model links controls, risks, assets, and assessments
- +API supports external provisioning and status synchronization
- +Role-based access control and audit logs support governance accountability
- +Workflow states drive repeatable evidence and assessment cycles
- –Effective reporting depends on consistent relationship maintenance
- –Deep automation requires careful schema and workflow configuration
- –Cross-system sync design can be complex without a stable external source of truth
Security governance teams
Map controls to risks and evidence
Repeatable audit trail
Compliance program managers
Run assessment cycles against policies
Faster compliance reporting
Show 2 more scenarios
IT integration engineers
Provision entities and sync statuses
Lower manual coordination
Connect external systems to Eramba through API operations for entity updates and report inputs.
Security operations leads
Route exceptions through workflows
Controlled exception handling
Track deviations from controls with linked risks and controlled approval states.
Best for: Fits when mid-size security teams need governed workflows with API-driven integration and audit traceability.
More related reading
Vanta
Vendor riskVendor security management and evidence automation system that centralizes SOC 2, ISO 27001, and security assessments with integrations, audit trails, and governance workflows.
Control and evidence status tracking with API-driven workflows for provisioning connectors and updating control mappings.
Vanta fits teams that need integration depth across SaaS, cloud, and identity systems, because the security evidence model connects findings back to defined controls. The data model maps checks to control objects and tracks evidence freshness, which makes audit review and exception handling more repeatable. Automation relies on configuration, scheduled syncs, and API operations that support provisioning of new connectors and updates to control assignments. Governance includes RBAC, audit logging, and review workflows so access stays scoped around evidence edits and approvals.
A key tradeoff is that deep control coverage depends on connector availability and schema alignment, so highly custom environments can require extra configuration and API-driven glue. Vanta works best for organizations building repeatable security and compliance reporting, especially when multiple teams contribute evidence and need consistent control ownership.
- +Control and evidence schema ties checks to named security controls
- +API supports automation for configuration, control mapping, and evidence workflows
- +RBAC and audit logs support governed collaboration on security posture
- +Connector integrations keep evidence current without manual evidence dumps
- –Custom control logic can require API and configuration work
- –Connector coverage gaps can slow evidence for niche systems
- –Complex environments may need careful control ownership modeling
Security operations teams
Automated evidence sync for control status
Less manual audit prep
GRC and compliance managers
Control mapping and review workflows
Faster control review cycles
Show 2 more scenarios
Platform engineering
API automation for onboarding systems
Repeatable onboarding automation
Platform engineering provisions connector configuration and control assignments using the API for new environments.
IT identity teams
Evidence from identity and access signals
Consistent access evidence
Identity teams centralize evidence collection for access controls and policy checks across IAM sources.
Best for: Fits when teams need governed evidence automation across identity and cloud systems without manual audit collection.
Drata
Compliance automationCompliance automation platform that collects security evidence from connected systems, maps it to control frameworks, and manages exceptions with audit logs and approval flows.
Controls-to-evidence mapping with a normalized schema plus automation workflows for continuous status updates.
Drata links security control requirements to collected artifacts through a documented data model that maps sources like cloud settings and SaaS configuration into evidence objects. Automation and API surface support provisioning of checks, normalization of findings, and ongoing status updates without manual rekeying. Integration depth is strongest when teams adopt multiple vendors and want a single schema for evidence, scan results, and remediation state.
A tradeoff is that deep customization depends on available schema fields and connector behavior, which can limit edge-case evidence types that do not fit existing models. Drata fits organizations that already run security tooling and need an integration and governance layer for audit-ready reporting, especially when throughput across many systems matters.
- +API-driven evidence sync reduces manual rework for audit artifacts
- +Data model ties controls to normalized findings and remediation status
- +RBAC and audit log support governed access to configuration and attestations
- –Evidence types outside the schema may require workarounds
- –Automation coverage depends on available connectors and check templates
Security engineering teams
Control evidence automation from live systems
Less evidence chasing, faster closes
Compliance operations teams
Audit-ready reporting with governed access
Consistent audits with traceability
Show 2 more scenarios
Platform and DevSecOps
API provisioning of security checks
Higher throughput across accounts
Provision checks and ingest findings via API so environments share configuration and status models.
GRC administrators
Remediation workflow for mapped controls
Fewer control gaps at deadlines
Route normalized findings into remediation status tied to specific control requirements for review cycles.
Best for: Fits when security and compliance teams need governed automation across many SaaS and cloud sources.
Secureframe
Security managementSecurity management and compliance control system that provisions policies and evidence collection, supports integrations, tracks remediation, and enforces RBAC with audit logs.
Evidence collection workflow tied to an admin-controlled control schema with RBAC and audit log trails.
Secureframe targets security management execution with a configurable control framework, evidence collection, and workflow automation. Its integration depth centers on structured data for controls, requirements, and evidence mapped into a consistent schema.
Automation and API surface support provisioning workflows and external system synchronization via integrations and programmable endpoints. Admin governance focuses on RBAC and audit log visibility for control changes and evidence activity.
- +Control, requirement, and evidence mapped into a consistent data model schema
- +Automation workflows reduce manual state changes across controls and evidence
- +API and integrations support provisioning and synchronization with external systems
- +RBAC and audit logs provide traceability for control and evidence changes
- –Schema customization can require careful planning to match existing internal taxonomies
- –Automation logic may feel constrained for highly bespoke workflows
- –Integration coverage varies by target system and can require connector workarounds
Best for: Fits when security and GRC teams need governed control workflows with API-backed data and evidence synchronization.
Productiv
Security automationSecurity and compliance automation platform that coordinates control validation through integrations, maintains control status and remediation workflows, and provides audit logging and RBAC.
Schema-based policy provisioning with an API-managed execution state and audit logging for traceable governance.
Productiv provisions security controls by connecting identity, devices, and cloud services through a configurable automation layer. Its data model centers on policy schemas, asset scope, and execution state, which supports controlled changes across environments.
Productiv exposes integration and automation via an API surface designed for provisioning workflows, governance checks, and ongoing sync. Admin governance relies on RBAC and audit logging patterns used to track configuration changes and policy outcomes.
- +Policy schema supports consistent provisioning across identities, assets, and cloud services
- +Automation workflows can be driven through an API for repeatable change control
- +RBAC scopes administration tasks by role and action
- +Audit logs track configuration changes and policy execution outcomes
- –Complex policy schemas can require careful governance to avoid drift
- –High-volume sync can stress throughput if rules are overly granular
- –Automation debugging needs structured logs and correlation identifiers
- –Integration depth depends on connector coverage for target systems
Best for: Fits when security teams need API-driven provisioning with schema-based governance and auditable change control.
Ironclad
Governance workflowContract and policy workflow automation tool that supports security policy templates, structured approvals, audit trails, and configurable data models for governance processes.
Configurable approval workflows with schema-backed fields and audit logging for each workflow transition.
Ironclad fits security and legal operations teams that need governance-friendly approvals tied to structured intake and policy workflows. Its core capabilities center on workflow automation for contract and policy processes, plus configurable data fields and state-driven review steps.
Integration depth is built around an API and extensibility points that map internal systems into Ironclad objects and trigger actions across systems. Admin and governance controls focus on RBAC-style permissions and audit logging for review history, configuration changes, and workflow outcomes.
- +Configurable workflow steps tied to structured objects and schemas
- +API supports automation for provisioning, updates, and event-driven actions
- +Audit logs capture approvals, edits, and workflow transitions
- +RBAC-style access controls separate duties across review roles
- –Data model alignment takes effort when security processes use nonstandard schemas
- –Automation throughput depends on workflow complexity and approval step count
- –Extensibility needs careful governance to prevent permission sprawl
- –Cross-system consistency requires disciplined event mapping and testing
Best for: Fits when security governance needs documented workflows, API-driven automation, and audit trails across legal and risk handoffs.
Wirewheel
Compliance opsEvidence and compliance workflow management system that automates document collection, control mapping, and exception handling with audit log records and role controls.
Control-evidence mapping with schema-driven workflows that convert connector data into auditable outcomes.
Wirewheel focuses on security manager workflows that map control requirements to real evidence using a structured data model. It supports integration depth through connectors that bring security posture signals into configurable schemas.
Automation and extensibility center on provisioning, RBAC-bound governance, and repeatable tasks that route data to audit-ready outputs. Audit log coverage and admin controls tie change activity to governance workflows without manual spreadsheets.
- +Structured data model for controls, evidence, and workflows
- +Connector-based integrations that normalize signals into schemas
- +RBAC and governance controls support delegated security operations
- +Automation routes evidence updates into review and reporting
- –Schema customization can add overhead for complex organizations
- –Automation depends on connector coverage for specific environments
- –Operational throughput may require careful job scheduling design
- –Multi-system evidence alignment can require manual rule tuning
Best for: Fits when teams need control-evidence mapping with schema-driven automation and governed change tracking.
Onspring
GRC platformGRC platform that supports risk, policy, and issue management with configurable workflows, evidence attachments, and audit logs for security governance use cases.
Evidence and findings management data model with workflow-driven remediation, backed by RBAC and audit log governance.
Onspring is security manager software focused on managing security workflows tied to a defined data model of controls, findings, and evidence. It supports integration-driven operations through configuration, API-based extensibility, and automation for repeatable remediation tracking.
Admin governance centers on role-based access control and audit log coverage for key changes. Teams use these mechanisms to keep control mappings, task execution, and evidence collection consistent across audit cycles.
- +Structured data model links controls, findings, and evidence in one workflow graph
- +Automation supports provisioning of tasks and status changes across remediation steps
- +API and extensibility enable integrations for ticketing, asset data, and evidence ingestion
- +RBAC and audit log record governance actions during configuration and workflow updates
- –Complex schema design takes time to set control mapping and evidence requirements
- –Automation rules can be harder to maintain as workflow branching grows
- –Throughput depends on evidence ingestion volume and attachment handling limits
- –Some integrations require custom API wiring rather than turnkey connectors
Best for: Fits when security teams need governed workflow automation with an API-driven integration model and evidence-centric data model.
OneTrust
Governance suiteGovernance suite that manages security-related privacy and risk processes with structured workflows, permissions, and audit trails across connected systems.
Privacy data model with workflow-driven processing and consent management.
OneTrust performs automated security and privacy governance workflows with policy templates, configurable controls, and evidence collection. The product centers on a data model for privacy and consent operations that maps entities like data subjects, processing activities, and marketing preferences to enforceable workflows.
Integration depth relies on connectors, webhook patterns, and an API surface that supports schema alignment and provisioning for ongoing operations. Administrative governance is handled through RBAC, audit logs, and configurable permissions for review, approval, and change management.
- +Central data model links processing activities to consent and governance workflows.
- +API supports automation for intake, updates, and evidence synchronization.
- +RBAC and audit logs support review trails across governance activities.
- +Configurable policy workflows reduce manual status tracking and handoffs.
- –Schema customization can be heavy when aligning internal records to OneTrust.
- –Automation depends on consistent identifier mapping across integrated systems.
- –Workflow configuration breadth can increase admin overhead for smaller teams.
Best for: Fits when security and privacy governance need API-driven provisioning, audit logs, and RBAC-controlled workflows at scale.
LogicGate
Workflow GRCWorkflow-centric GRC automation system that models security processes, assigns approvals, tracks status, and exports audit-ready change logs.
Control and evidence data model tied to configurable workflows, with API automation and RBAC plus audit logs for governance.
LogicGate fits security managers who need governance workflows tied to a structured control and evidence model. LogicGate connects security tasks to risk, policies, and procedures through configurable workflows and task routing.
LogicGate supports automation via APIs and integration points that enable provisioning, synchronization, and audit-friendly change tracking. LogicGate also centralizes administrative controls with RBAC, scoped permissions, and governance logs for operational oversight.
- +Configurable workflows connect policies, risk, and evidence in a shared control schema
- +API-based automation supports provisioning and data synchronization across systems
- +RBAC and governance logs support audit traceability for workflow and access changes
- +Extensibility through integrations supports broader security tooling coverage
- –Complex data model configuration can require schema planning before scaling
- –Automation setup often depends on consistent identifiers across connected systems
- –Governance configuration can add administrative overhead for smaller teams
- –Throughput tuning for large evidence imports may require careful workflow design
Best for: Fits when security teams need workflow automation with an auditable data model and controlled access across tools.
How to Choose the Right Security Manager Software
This buyer’s guide covers Eramba, Vanta, Drata, Secureframe, Productiv, Ironclad, Wirewheel, Onspring, OneTrust, and LogicGate as security manager software options for evidence, control status, and governed workflows.
The guide focuses on integration depth, data model design, automation and API surface, and admin and governance controls so tool selection can be driven by control-evidence traceability and change accountability.
Security manager software for connecting controls, evidence, and governed workflow state
Security manager software structures a control and evidence data model and ties it to workflow state so teams can track remediation, approvals, and audit-ready outputs instead of managing spreadsheets. It also provides automation hooks like integrations and APIs to keep evidence and control status current across cloud and identity sources. Tools like Eramba map controls, risks, assets, and assessments into a configurable schema with workflow automation and API-driven provisioning.
Vanta, Drata, and Secureframe similarly connect control status to evidence collection through connector-driven updates, then enforce review and change tracking through RBAC and audit logs for governance teams.
Integration, schema design, and governed automation surfaces for security operations
Integration depth determines whether evidence and findings stay synchronized through connectors and programmable endpoints instead of manual evidence dumps. A coherent data model with stable identifiers also prevents control-evidence drift when evidence arrives from multiple systems.
Automation and API surface matter because evidence mapping, connector provisioning, and control status updates must be repeatable under change control. Admin and governance controls matter because RBAC, audit logs, and workflow state transitions decide who can change mappings and how every change is traceable.
Control-evidence mapping on a configurable or normalized schema
Eramba drives control and risk traceability through a configurable schema that links controls to risks, assets, and assessments for evidence and reporting workflows. Drata and Wirewheel use a structured data model to map controls to normalized findings and evidence so workflow outputs remain auditable when evidence types change.
API-driven provisioning and automation for evidence and control mapping
Vanta and Productiv provide an API surface designed for automating configuration and provisioning workflows so control mappings and execution state can be managed programmatically. Secureframe and Onspring pair automation workflows with API-backed synchronization so evidence ingestion and remediation status changes can be triggered from external systems.
RBAC scopes and audit log visibility for configuration, approvals, and workflow transitions
Ironclad captures approvals, edits, and workflow transitions in audit logs while using RBAC-style permissions to separate review roles. Eramba, Secureframe, Vanta, and Onspring add RBAC and audit log trails tied to control changes and evidence activity for accountable governance.
Workflow state machines that drive repeatable evidence and remediation cycles
Eramba uses workflow states to power evidence and assessment cycles so status propagation stays consistent. Onspring and Wirewheel route connector updates into governed review and reporting tasks so evidence updates feed remediation paths without manual spreadsheet coordination.
Connector-driven evidence synchronization to reduce manual collection work
Vanta’s connector coverage keeps evidence current by continuously syncing common identity and cloud sources without manual evidence dumps. Drata similarly focuses on automated evidence collection across SaaS, cloud, and infrastructure sources while maintaining normalized mappings to controls.
Extensibility for adding connectors and aligning internal taxonomies
Eramba and Secureframe emphasize schema customization and integration endpoints so teams can align evidence workflows to internal control taxonomies. LogicGate and Productiv extend through integrations and mappings into a shared data model, which supports more tooling coverage when connector availability is uneven.
Select by control-evidence traceability, then validate governance and automation mechanics
Start with the data model and integration model, because security manager software success depends on whether controls, findings, and evidence share stable identifiers and workflow state. Eramba and Secureframe fit when a configurable admin-controlled control schema must reflect internal taxonomies and evidence relationships.
Next, validate the automation and API surface needed to keep evidence and control status current. Vanta and Drata are strong fits when evidence synchronization across identity and cloud systems must happen continuously through connectors and API-managed workflows.
Map the target control schema to each tool’s data model first
Define how controls relate to risks, assets, findings, evidence, and assessments before configuring any system. Eramba’s configurable schema emphasizes control and risk traceability across controls, risks, assets, and assessments, while Onspring centers a workflow graph linking controls, findings, and evidence.
Verify the automation and API surface needed for provisioning and synchronization
List every provisioning action and evidence update that must be triggered outside the UI, then confirm a tool supports API-driven configuration or event-driven automation for those actions. Vanta supports API-driven workflows for updating control mappings and provisioning connectors, while Productiv exposes an API for repeatable provisioning workflows tied to execution state.
Confirm audit trails attach to the exact governance actions that matter
Require audit logs for control changes, evidence activity, and approvals tied to workflow transitions, not only for generic admin activity. Ironclad’s audit logs capture approvals, edits, and workflow transitions, while Secureframe and Eramba attach audit log trails to control changes and evidence activity.
Assess connector coverage and the plan for evidence types outside the schema
Evaluate whether evidence will come from the connector ecosystem or from custom ingestion and schema extensions. Drata and Vanta excel when evidence exists in connected SaaS and cloud sources, while Wirewheel and Eramba reduce manual work through schema-driven workflows that normalize connector signals into auditable outcomes.
Test governance role design against RBAC constraints and workflow complexity
Create a role matrix for control owners, evidence reviewers, and approvers, then confirm RBAC can scope permissions without creating permission sprawl. Ironclad and Eramba use RBAC patterns and governance logs, but complex schema customization and highly bespoke workflows can require careful configuration to avoid drift.
Teams that need security manager software for governed control status and evidence workflows
Security manager software fits teams that need control status tracking tied to evidence and workflow state, with audit trails for governance accountability. It also fits organizations that must integrate evidence sources into a consistent schema so compliance and remediation updates remain traceable.
The tool choice depends on whether the priority is evidence automation at scale, schema-driven control traceability, or workflow-driven approvals across risk and legal handoffs.
Mid-size security teams requiring configurable control and risk traceability
Eramba fits when a configurable schema must link controls, risks, assets, and assessments into repeatable evidence and reporting workflows. Its API supports external provisioning and status synchronization with RBAC and audit trails for accountability.
Security and compliance teams that need governed evidence automation across many SaaS and cloud sources
Drata fits when controls must map to normalized findings and evidence through automation workflows for continuous status updates. Vanta also fits when connector-driven evidence synchronization must keep control mappings current and auditable through RBAC and audit log visibility.
GRC and security programs that prioritize admin-controlled control schema with synchronized evidence collection
Secureframe fits when evidence collection workflows must be tied to an admin-controlled control schema with RBAC and audit log trails. It also supports automation and an API surface for provisioning workflows and external system synchronization.
Security managers building API-driven provisioning and auditable change control for policies
Productiv fits when schema-based policy provisioning must manage execution state and produce auditable change outcomes through API-driven automation and audit logging. LogicGate also fits when teams want configurable workflows tied to a structured control and evidence model with governance logs for operational oversight.
Security governance workflows that require structured approvals and audit trails across teams
Ironclad fits when governance needs structured approval workflows tied to schema-backed fields and audit logs for each workflow transition. Onspring fits when evidence and findings management must drive workflow-driven remediation under RBAC and audit log governance.
Common failure modes in security manager software implementations
Security manager software failures often come from mismatched schemas, unstable identifier mappings, and automation that lacks a clear external source of truth. Several tools explicitly require careful schema planning to avoid drift when evidence streams and workflow logic grow.
Another failure mode is expecting turnkey evidence handling for niche systems without a connector coverage plan. Evidence outside the schema or complex workflow branching can increase admin overhead and reduce automation throughput if configuration is not managed tightly.
Designing a control-evidence schema that cannot stay consistent across systems
Eramba can require disciplined relationship maintenance so reporting reflects the intended control and evidence graph. Secureframe and LogicGate also depend on careful schema planning so internal taxonomies match the configured model and reduce governance drift.
Underestimating the configuration work required for complex automation and workflow branching
Onspring reports that automation rules can be harder to maintain as workflow branching grows, which increases the risk of stale remediation state. Ironclad throughput depends on workflow complexity and approval step count, so overly granular approval chains can slow execution.
Assuming evidence types outside the built-in schema will map without extra work
Drata notes that evidence types outside the schema may require workarounds, which can break automation assumptions. Wirewheel and Vanta require connector coverage and normalized mapping for signals, so niche systems may need connector extensions or custom mapping logic.
Building cross-system sync without a stable identifier strategy
Eramba highlights cross-system sync complexity when there is no stable external source of truth. Productiv and LogicGate also warn that automation setup depends on consistent identifiers across connected systems, which affects provisioning accuracy and execution state.
Relying on admin access without RBAC scoping and audit log traceability
Tools like Vanta and Secureframe include RBAC and audit logs for governed collaboration, so omitting a role design exercise can lead to uncontrolled control-mapping edits. Ironclad and Eramba use audit logging tied to workflow transitions, so governance teams should configure review roles to ensure approvals and changes remain traceable.
How We Selected and Ranked These Tools
We evaluated Eramba, Vanta, Drata, Secureframe, Productiv, Ironclad, Wirewheel, Onspring, OneTrust, and LogicGate on features that directly support security manager execution, with emphasis on integration depth, data model alignment, automation and API surface, and admin governance controls. We rated features highest because schema mapping, connector synchronization, and API-driven provisioning determine whether evidence and control status stay audit-ready. Ease of use and value were scored as supporting factors, each with equal influence below the features contribution, and the overall rating used a weighted average that keeps automation and data model fit as the deciding signal.
Eramba stood apart through its configurable schema that drives control and risk traceability into evidence and reporting workflows, and that specific mechanism lifted the tool on the features and ease-of-use factors because the same model powers relationships, workflow state, and reporting outputs tied to audit accountability.
Frequently Asked Questions About Security Manager Software
How do Security Manager tools handle a configurable data model for controls, evidence, and risks?
Which tools provide API-driven integrations for provisioning workflows and automation?
What are the practical differences between evidence automation and workflow automation in these products?
How do these systems implement RBAC and audit logging for admin governance?
How do SSO and identity-driven workflows typically show up in security manager implementations?
Which tools support data migration when moving from spreadsheets or legacy control tracking systems?
How does extensibility work when security teams need custom objects, fields, or routing logic?
What is the main tradeoff between tools that prioritize connectors and tools that prioritize managed governance workflows?
Which tool best fits teams that need control-evidence traceability for audits without manual spreadsheets?
What technical starting steps tend to matter most during first deployment and configuration?
Conclusion
After evaluating 10 cybersecurity information security, Eramba 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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