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Cybersecurity Information SecurityTop 10 Best Bootleg Software of 2026
Top 10 Bootleg Software picks ranked for 2026 with security tool comparisons and criteria from Microsoft Defender for Endpoint and Wazuh.
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.
Microsoft Defender for Endpoint
Microsoft Defender XDR correlation that links device alerts with identity and email signals
Built for organizations consolidating endpoint, identity, and cloud signals for fast incident response.
Wazuh
Editor pickFile Integrity Monitoring with granular change auditing and alerting
Built for teams deploying host monitoring and detections with strong logging and integrity coverage.
Elastic Security
Editor pickDetection rules in Elastic Security with KQL-based logic and alert context for investigations
Built for security teams running Elasticsearch-centric logging with active detection engineering.
Related reading
Comparison Table
This comparison table benchmarks Bootleg Software security tools across integration depth, data model and schema mapping, and the automation and API surface used for provisioning and response workflows. It also contrasts admin and governance controls, including RBAC granularity and audit log coverage, to show how each platform fits different operating models and telemetry pipelines. The goal is to surface concrete tradeoffs in extensibility, configuration control, and operational throughput rather than feature checklists.
Microsoft Defender for Endpoint
endpoint EDRProvides endpoint detection and response with antivirus, behavioral detections, and automated incident investigation in a centralized security console.
Microsoft Defender XDR correlation that links device alerts with identity and email signals
Microsoft Defender for Endpoint correlates endpoint telemetry with identity and Microsoft 365 signals to reduce blind spots when devices interact with Entra ID and Exchange. Advanced hunting and alert correlation support analyst workflows that trace suspicious process chains, lateral movement attempts, and risky sign-in behavior to specific devices. The platform’s automated investigation and response workflows are designed to turn detections into scoped actions using unified device, identity, and app context.
A key tradeoff is that results depend on licensing, Windows instrumentation coverage, and accurate identity mapping between devices and accounts. Coverage gaps can appear for unmanaged endpoints or devices that do not send expected security events, which can delay investigation timelines. It fits organizations standardizing on Microsoft 365 and Entra ID where device events, identity events, and cloud app activity must connect for containment decisions.
- +Strong endpoint prevention with real-time protection and attack surface reduction
- +Automated alert investigation with cross-signal correlation in Defender XDR
- +Advanced hunting across device telemetry with flexible queries
- –Initial tuning is required to reduce alert noise in busy environments
- –Some advanced detections depend on correct data ingestion and agent health
- –Response workflows can feel complex across multiple Defender components
Security operations analysts
Correlate endpoint alerts with identity events
Faster root-cause scoping
Incident responders
Contain compromised users across endpoints
Quicker containment decisions
Show 2 more scenarios
IT administrators
Monitor Windows endpoints for risky activity
Reduced endpoint exposure
Central dashboards track suspicious behaviors and guide device remediation for managed fleets.
Threat hunters
Hunt for lateral movement indicators
More complete attack timelines
Advanced hunting queries link process behavior on endpoints to directory and cloud activity signals.
Best for: Organizations consolidating endpoint, identity, and cloud signals for fast incident response
More related reading
Wazuh
open-source SIEMDelivers host-based threat detection and security monitoring with log analysis, file integrity monitoring, and active response.
File Integrity Monitoring with granular change auditing and alerting
Wazuh provides agent-based collection for endpoint and infrastructure telemetry, then applies rule-based detection and correlation to convert raw events into security alerts and reports. Its file integrity monitoring detects changes to monitored files and directories, while security configuration assessment checks hosts against defined baselines and misconfiguration rules.
The platform also supports security analytics over logs via shipped data from Wazuh agents, then enriches findings with context for triage workflows and compliance reporting. A practical tradeoff appears when organizations need to tune detection rules and baseline checks for their environment to reduce false positives and reporting noise.
Wazuh fits teams that want centralized visibility across many servers and endpoints without relying on a third-party data pipeline. It works well when security monitoring must combine log detection with integrity and configuration signals, such as detecting suspicious file changes and correlating them with process and auth events.
- +Rule-based detections with real-time alerting across endpoints and servers
- +File integrity monitoring for tamper detection with detailed change trails
- +Security configuration auditing with compliance-style checks
- +Centralized dashboards and event aggregation for incident triage workflows
- –Agent rollout and tuning require consistent operational discipline
- –Rule management can become complex without a governance process
- –High-volume environments need careful performance planning
Security operations teams
Correlate alerts across endpoints
Faster investigation and containment
Compliance and audit teams
Verify configuration and file integrity
Reduced audit remediation cycles
Show 2 more scenarios
IT administrators
Detect risky configuration drift
Lower drift-caused incidents
Baseline assessments flag unauthorized changes in security settings across managed hosts.
SOC analysts in mixed environments
Monitor servers and endpoints centrally
Unified monitoring coverage
Agent-based telemetry collection standardizes detection across diverse infrastructure for consistent visibility.
Best for: Teams deploying host monitoring and detections with strong logging and integrity coverage
Elastic Security
SIEM analyticsRuns security analytics for detection engineering and investigation using Elastic’s SIEM capabilities and event correlation.
Detection rules in Elastic Security with KQL-based logic and alert context for investigations
Elastic Security supports enrichment inside the investigation workflow by combining rule-run context, timeline views, and entity-focused pivoting across alerts, logs, and endpoint events. It ties enrichment to Elastic’s data model so detections from endpoint telemetry and log sources share consistent fields that analysts can use during triage.
Enrichment also shows up through integration-driven metadata and output from detection rules, including additional fields in alerts that reference indicators, hosts, users, and related activity. A tradeoff is that enrichment quality depends on data normalization and field availability in Elasticsearch, which can increase setup effort for organizations with fragmented schemas.
This fit is strongest when analysts need to move from a detection to an investigation with consistent entity context across multiple data sources. It is less suitable when investigations rely on enrichment from non-Elastic sources that are not already mapped into the Elastic data model.
- +Strong detection rules plus prebuilt content accelerate time to first alerts
- +Investigation views and timelines connect alerts to events across data sources
- +Endpoint and SIEM data can be correlated using the same search and indexing model
- +Detection tuning supports thresholding, exceptions, and field-based logic
- –Rule authoring demands solid query and data modeling knowledge
- –Operations complexity rises with multi-source ingestion and scaling Elasticsearch
- –Advanced detections can be harder to maintain as schemas and fields change
SOC analysts running investigations
Investigate endpoint alerts with context fields
Faster entity correlation
Threat detection engineers
Tune detections with enrichment fields
Higher detection fidelity
Show 2 more scenarios
Security operations leads
Standardize investigation across data sources
Lower investigation overhead
Teams reduce analyst handoffs by keeping alert context consistent across telemetry and application logs.
Incident response coordinators
Reconstruct attack timelines from entities
Clearer incident scope
Incident coordinators use entity pivots and enriched event fields to validate scope and related behavior.
Best for: Security teams running Elasticsearch-centric logging with active detection engineering
More related reading
SentinelOne
autonomous EDRUses autonomous endpoint detection and response with behavior-based threat hunting and remediation actions.
Autonomous Response with behavior-based prevention and one-click containment via endpoint isolation
SentinelOne stands out for its autonomy-focused approach to endpoint threats with behavioral prevention and rapid isolation actions. It provides XDR-style visibility across endpoints and supports centralized investigations using telemetry, alerts, and forensic artifacts.
Automated response workflows reduce the time between detection and containment for managed fleets. The platform’s depth depends on correct sensor deployment and tuning to match diverse endpoint roles.
- +Behavioral endpoint prevention with automated containment actions for fast threat shutdown
- +Centralized investigation view links alerts with endpoint telemetry and forensic context
- +Scalable monitoring supports large endpoint fleets with consistent policy enforcement
- +Response workflows can isolate endpoints to limit lateral movement
- –Policy tuning and exclusions take time for varied endpoint applications and roles
- –Alert volume can require analyst work to prioritize true positives
- –Integrations and deployment planning add complexity compared with simpler EDR tools
Best for: Organizations needing autonomous endpoint containment and deep forensic investigation across fleets
CrowdStrike Falcon
managed EDRDelivers cloud-managed endpoint security with threat intelligence, detection, and response workflows.
Falcon Spotlight automated security investigations across endpoint telemetry
CrowdStrike Falcon stands out with its endpoint-first security model that pairs behavioral detection with cloud-delivered telemetry. Core capabilities include real-time endpoint prevention, detection and response, and automated containment through guided workflows. The platform also adds threat hunting using unified indicators and telemetry across supported endpoints to support investigations and remediation.
- +Strong endpoint detection with behavior-focused signals tied to actionable response actions
- +Rapid containment workflows reduce time between alert triage and mitigation
- +Unified hunting across telemetry supports faster root-cause investigations
- +Extensive integration points help operationalize alerts into security operations workflows
- –Console and alert context can overwhelm teams without SOC process maturity
- –Deployment and tuning across many endpoints can require dedicated administration
- –Some hunting depth depends on data coverage and agent configuration quality
Best for: Midsize to enterprise SOC teams needing fast endpoint response and threat hunting
Sophos Intercept X
next-gen endpoint protectionCombines endpoint protection with exploit prevention, ransomware defense, and centralized management.
Ransomware protection with behavioral blocking and exploit prevention
Sophos Intercept X stands out for endpoint protection that goes beyond signature scanning with behavior blocking and deep visibility. Core capabilities include ransomware protection, exploit prevention, device control options, and centralized policy management for endpoints.
It also provides detection and response workflows that help security teams investigate suspicious activity and contain threats. The product is most effective when deployed across managed endpoints where telemetry and policy enforcement can run continuously.
- +Behavioral ransomware protection with exploit blocking for endpoint threats
- +Centralized management console for consistent policy enforcement across devices
- +Threat investigation visibility to speed up triage and containment
- –Initial deployment and policy tuning can be time-consuming for large fleets
- –Investigation workflows may feel dense without dedicated security operations time
- –Performance overhead risk exists on constrained endpoints during active protection
Best for: Organizations needing strong endpoint ransomware defenses with central policy management
More related reading
LogRhythm
SIEM correlationPerforms log management and security analytics with correlation for incident detection and investigation.
Behavior Analytics with UEBA to surface anomalous user and entity activity from correlated telemetry.
LogRhythm stands out with deep log, network, and security correlation aimed at reducing investigation time. Its core platform combines centralized log management, detection and response workflows, and compliance-oriented reporting for SOC operations.
The solution also supports network traffic visibility and UEBA-style analytics to highlight suspicious behavior patterns across systems. It fits organizations that need end-to-end security analytics rather than basic log search and dashboards.
- +Strong correlation across logs, events, and network data for faster root-cause analysis.
- +Built-in detection and response workflows for SOC triage and case handling.
- +Compliance reporting and audit-friendly retention controls support regulatory needs.
- –Initial configuration and rule tuning can be heavy for smaller teams.
- –Search and analytics breadth may increase operational overhead versus simpler SIEMs.
- –Dashboard customization requires admin-level skill for consistent results.
Best for: Security operations teams needing correlated log analytics and response workflows.
Graylog
log analyticsProvides scalable log management with search, alerting, and security-relevant event analysis.
Message pipelines for transforming and routing log events before indexing
Graylog stands out for centralized log management with a visual search experience and real-time event analysis. It supports pipeline processing for parsing, enrichment, and routing before logs land in indexes.
Built-in alerting ties search queries to notification actions, making it useful for ongoing operational monitoring. The system also integrates with common log sources through agents and standard inputs like Syslog and Beats.
- +Strong pipeline processing for parsing, enrichment, and routing of incoming logs
- +Fast search with facets and time-based analysis for troubleshooting incidents
- +Alerting on saved searches with notification workflows for operational monitoring
- –Operational setup and scaling depend on careful index and retention planning
- –UI workflows feel heavier than lighter log viewers for simple use cases
- –Large deployments require tuning for Elasticsearch resources and ingestion throughput
Best for: Operations teams needing searchable log analytics with configurable pipelines and alerting
More related reading
TheHive
SOC case managementSupports case management for security incident response with integrations for triage, enrichment, and orchestration.
Configurable case workflows with playbook-driven triage and investigation steps
TheHive stands out by centering incident response workflows around collaborative case management for security teams. It provides structured alert triage, investigations, and evidence handling with configurable playbooks. The platform supports integration with external systems so analysts can enrich cases and move findings into response actions.
- +Case-centric investigation view with tasking, timelines, and evidence organization
- +Configurable workflows support repeatable triage and investigation steps
- +Extensive integration options for enriching alerts and driving response actions
- +Collaboration features enable shared context across analysts and responders
- –Workflow configuration takes technical effort for consistent deployments
- –Complex cases can become heavy to navigate for smaller teams
- –Dependency on external tooling increases setup complexity for full automation
- –User permissions and data model choices require careful planning
Best for: Security teams running collaborative incident response workflows with external integrations
OpenCTI
threat intel platformManages threat intelligence knowledge graphs with ingestion, enrichment, and relationship-centric analysis.
STIX 2.1 foundation with Knowledge Graph visualization and relationship-driven enrichment
OpenCTI stands out by focusing on threat intelligence as a graph, with entities and relationships driving enrichment, analysis, and export. It supports case management, connectors for ingesting external intelligence, and rules for operational workflows like scoring and linking.
The platform also enables collaboration through role-based access and audit-friendly activity tracking for investigations. Data modeling and visualization emphasize connected context over flat indicators, which fits incident and threat-hunting processes.
- +Graph-based threat model captures relationships between indicators, malware, and actors
- +Connector framework imports and normalizes external intelligence sources
- +Rules and linking improve enrichment consistency across cases
- –Setup and data modeling require platform familiarity and careful configuration
- –Complex workflows can feel heavy for small teams and simple use cases
- –Graph navigation and exports need UI practice to avoid data interpretation errors
Best for: Security teams needing graph threat intelligence with ingestion and case workflows
Conclusion
After evaluating 10 cybersecurity information security, Microsoft Defender for Endpoint 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 Bootleg Software
This buyer's guide covers Microsoft Defender for Endpoint, Wazuh, Elastic Security, SentinelOne, CrowdStrike Falcon, Sophos Intercept X, LogRhythm, Graylog, TheHive, and OpenCTI.
The focus stays on integration depth, the underlying data model, automation and API surface, and admin and governance controls across endpoint detection, host monitoring, SIEM analytics, case management, and threat intelligence graphs.
Each section maps evaluation criteria to named capabilities such as Defender XDR correlation, Wazuh File Integrity Monitoring, Elastic Security KQL-based detection rules, and OpenCTI STIX 2.1 knowledge graph modeling.
Bootleg Software tools for incident-ready detection, response workflows, and threat context graphs
Bootleg Software tools coordinate security signals into a structured operational workflow using a defined data model, from endpoint telemetry in Microsoft Defender for Endpoint and SentinelOne to graph-based threat context in OpenCTI.
These tools solve fast triage and containment by correlating signals across endpoints, identity, logs, and network activity, then turning detections into scoped actions, case artifacts, or investigation pivots.
Microsoft Defender for Endpoint fits organizations that need device alerts tied to identity and email signals for containment decisions, while TheHive fits teams that run collaborative incident response using configurable playbooks.
Integration depth, schema consistency, and controlled automation for security operations
Integration depth determines whether endpoint alerts, identity events, and email or log context share the same operational path without manual stitching.
Schema consistency matters because Elastic Security depends on consistent entity fields inside Elasticsearch for enrichment quality, while Wazuh relies on agent-based event collection and rule tuning to turn raw events into reliable security alerts.
Automation and governance controls decide whether containment actions, investigation steps, and case workflows run with repeatable configuration and auditable history.
Cross-signal correlation tied to incident actions
Microsoft Defender for Endpoint links device alerts with identity and email signals through Defender XDR correlation, which supports faster scoping for containment decisions. CrowdStrike Falcon also prioritizes investigation speed through Falcon Spotlight automated security investigations across endpoint telemetry.
Explicit data model for enrichment and investigation pivots
Elastic Security connects enrichment to Elastic’s data model so detections from endpoint telemetry and log sources share consistent fields during triage. OpenCTI uses a STIX 2.1 foundation with knowledge graph relationships so enrichment and analysis follow entity connections rather than flat indicator lists.
Automation surface for containment, triage, and playbook steps
SentinelOne supports autonomous endpoint detection and response with automated containment actions such as one-click endpoint isolation. TheHive provides configurable case workflows with playbook-driven triage and investigation steps to standardize repeatable response actions.
Governed configuration for detections, baselines, and rules
Wazuh includes security configuration assessment and baseline-style misconfiguration checks that require consistent operational discipline and tuning governance. Elastic Security supports detection tuning with exceptions and field-based logic, which needs controlled rule management to avoid detection drift.
Integrity and behavioral telemetry for high-confidence investigations
Wazuh File Integrity Monitoring produces granular change trails and alerting that strengthen tamper detection. Sophos Intercept X focuses on ransomware protection with behavioral blocking and exploit prevention, which improves the signal quality before analysts reach for broader correlation.
Admin-grade operational controls for auditability and case history
LogRhythm includes compliance-oriented reporting and audit-friendly retention controls aligned to SOC operations. TheHive emphasizes auditability through consistent case artifacts and activity history, which supports governance for multi-analyst investigations.
Pick the tool that matches the security workflow stage to be automated and governed
Selection starts by mapping the required workflow stage, such as endpoint containment, host integrity monitoring, correlated log analytics, collaborative case orchestration, or threat intelligence relationship modeling.
The next step checks whether the tool’s data model supports consistent entity context, because Elastic Security depends on normalized fields in Elasticsearch and Microsoft Defender for Endpoint depends on accurate identity mapping between devices and accounts.
Finally, governance checks confirm whether automation runs through controlled configuration and produces auditable artifacts.
Define the correlation boundary and required entity linkage
If device detections must connect to identity and email for containment decisions, choose Microsoft Defender for Endpoint and validate cross-signal correlation behavior. If detection context must pivot consistently across alerts and logs using a shared Elasticsearch indexing model, choose Elastic Security and validate that entity fields support investigation timelines and pivots.
Confirm the automation target and containment mechanics
For autonomous endpoint containment, SentinelOne pairs behavior-based prevention with automated containment actions such as endpoint isolation. For guided endpoint response and automated investigations, CrowdStrike Falcon uses Falcon Spotlight automated security investigations across endpoint telemetry.
Verify governance for detections, integrity checks, and rule exceptions
For host monitoring that must detect tampering and misconfiguration, Wazuh requires governance over agent rollout and rule tuning to reduce false positives and reporting noise. For log and analytics-driven detection engineering, Elastic Security requires governance over KQL-based detection rules and exceptions to manage schema changes.
Choose the system that matches how teams operationalize cases and evidence
If the operational bottleneck is analyst collaboration and standardized playbook execution, TheHive centers triage with case-centric timelines, evidence handling, and configurable workflows. If the operational bottleneck is correlated SOC analytics feeding case decisions, LogRhythm combines centralized log management, correlation, and built-in detection and response workflows.
Align threat context modeling to incident enrichment and relationship analysis
If threat intelligence must be stored and analyzed as a relationship-centric knowledge graph, choose OpenCTI with its STIX 2.1 foundation for connected context over flat indicators. If the requirement is scalable log ingestion and pipeline-based transformation before indexing, Graylog uses message pipelines to parse, enrich, and route log events with alerting tied to saved searches.
Which teams get measurable value from these security workflow tools
These Bootleg Software tools fit different operational end points, from endpoint containment and host integrity to correlated analytics, evidence-first case management, and graph threat intelligence.
Tool selection depends on which stage needs automation and which stage needs governance over configuration and outputs.
The best fit becomes clear when the required inputs and desired outputs match the tool’s data model and workflow structure.
Organizations consolidating endpoint, identity, and cloud signals for incident response
Microsoft Defender for Endpoint matches this need because Defender XDR correlation links device alerts with identity and email signals for faster scoping of actions. This also aligns with a unified console approach to endpoint telemetry and identity-enriched containment decisions.
Teams deploying host monitoring with integrity and baseline checks
Wazuh fits teams that need File Integrity Monitoring with granular change auditing and security configuration assessment against defined baselines. It also supports rule-based detection and correlation across endpoints and servers through agent-based collection.
Security teams running Elasticsearch-centric detection engineering and investigation engineering
Elastic Security fits teams that need investigation views and timelines connected to alerts and events using shared fields in Elastic’s data model. It supports KQL-based detection rules plus thresholding, exceptions, and field-based logic for controlled tuning.
SOC teams prioritizing automated endpoint containment and behavioral response
SentinelOne fits teams that want autonomy-focused behavior-based prevention paired with automated containment actions such as endpoint isolation. CrowdStrike Falcon fits midsize to enterprise SOC teams that need Falcon Spotlight automated security investigations across endpoint telemetry.
Security teams that standardize collaborative incident response workflows and evidence handling
TheHive fits security teams that rely on case-centric investigations with tasking, timelines, evidence organization, and configurable playbook workflows. LogRhythm fits SOC operations that need correlated log analytics with UEBA-style behavior analytics and built-in detection and response workflows.
Failure modes that break integration, governance, and automation outcomes
Most problems come from mismatched inputs, uncontrolled rule changes, or missing consistency in the entity context used for enrichment and actions.
Another recurring failure mode is building workflows without planning for scale and indexing throughput, which then slows triage and reduces detection reliability.
The tools below show these pitfalls through specific cons such as tuning burdens, schema dependency, and setup complexity.
Trying to run cross-entity correlation without validating identity and device mapping
Microsoft Defender for Endpoint depends on correct identity mapping between devices and accounts, so inaccurate mapping delays investigation timelines. Elastic Security also depends on data normalization and field availability, so fragmented schemas reduce enrichment quality.
Treating rule tuning as an ad hoc task instead of a governance workflow
Wazuh requires consistent operational discipline for agent rollout and tuning security configuration and detections to reduce false positives. Elastic Security also demands solid query and data modeling knowledge to keep KQL-based detection rules maintainable as fields change.
Overloading analysts with unprioritized alert volume without containment automation
SentinelOne and CrowdStrike Falcon both reduce time to containment through autonomous or guided workflows, which limits analyst bottlenecks when alert volume spikes. Sophos Intercept X still requires careful policy tuning for varied endpoint roles to avoid noisy investigations.
Ignoring pipeline and index planning for log throughput
Graylog requires careful index and retention planning and depends on Elasticsearch resource tuning for large deployments that increase ingestion throughput. LogRhythm’s analytics breadth can increase operational overhead, so rule tuning and configuration must match SOC team capacity.
Building case workflows without committing to evidence structure and role governance
TheHive relies on user permissions and data model choices that must be planned to keep complex cases usable. OpenCTI setup and data modeling require platform familiarity, so weak configuration leads to heavy workflows and graph export interpretation errors.
How We Selected and Ranked These Tools
We evaluated Microsoft Defender for Endpoint, Wazuh, Elastic Security, SentinelOne, CrowdStrike Falcon, Sophos Intercept X, LogRhythm, Graylog, TheHive, and OpenCTI using a consistent rubric built from each tool’s stated features, ease of use, and value fit. Features carried the most weight at 40 percent because integration depth and automation mechanics directly determine how quickly detections become governed actions.
Ease of use and value each accounted for 30 percent because rule management, tuning burden, and operational setup strongly affect whether the automation stays usable. Microsoft Defender for Endpoint separated from lower-ranked tools because Defender XDR correlation links device alerts with identity and email signals, and that capability boosted the integration and automation outcome that analysts need for fast incident response.
Frequently Asked Questions About Bootleg Software
How do Microsoft Defender for Endpoint, SentinelOne, and CrowdStrike Falcon differ in incident containment workflow?
Which option best supports integrations across identity and email signals for security correlation?
What APIs or extensibility paths do TheHive and OpenCTI provide for building custom workflows?
How does data migration differ when moving from a flat log index to Elastic Security or Graylog?
What admin controls and access governance are commonly required in OpenCTI compared with TheHive?
How do Wazuh and Graylog handle tuning to reduce false positives from detection rules?
Which platform is most suitable for tracking file integrity changes with alerting and audit context?
How do audit logs and investigation timelines differ across LogRhythm and Elastic Security?
What common technical constraint affects throughput and investigation latency across Graylog and Wazuh?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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