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Environment EnergyTop 10 Best Condenser Software of 2026
Top 10 Condenser Software picks ranked for features and pricing, with Sense, Emporia Energy, and Brilliant compared. Explore the best options.
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.
Sense
Journey and funnel analysis with automatic event-to-user behavior modeling
Built for product analytics teams needing fast behavioral insights with minimal modeling overhead.
Emporia Energy
Circuit-level monitoring with app dashboards and historical usage trends
Built for home-focused teams needing reliable load telemetry for automation workflows.
Brilliant
Interactive problem solving with Instant feedback on each reasoning step
Built for teams teaching technical concepts with interactive, stepwise visual problem flows.
Related reading
Comparison Table
This comparison table contrasts Condenser Software options across popular energy-monitoring and smart-home tools, including Sense, Emporia Energy, Brilliant, Home Assistant, and OpenEnergyMonitor. Readers can compare supported hardware, data collection and visualization approaches, setup complexity, and typical integration paths to decide which platform best matches their measurement goals.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Sense Provides whole-home energy monitoring with circuit-level appliance identification from electrical data. | home energy monitoring | 8.7/10 | 9.0/10 | 8.4/10 | 8.6/10 |
| 2 | Emporia Energy Delivers whole-home and submeter-level energy monitoring using metering devices and a web dashboard. | utility-level metering | 7.4/10 | 7.4/10 | 8.2/10 | 6.7/10 |
| 3 | Brilliant Controls smart energy devices and shows energy-related insights through smart home automation. | smart energy control | 8.1/10 | 8.2/10 | 8.5/10 | 7.5/10 |
| 4 | Home Assistant Runs local smart-home dashboards and automations that can integrate energy meters and utility feeds. | open automation | 8.2/10 | 8.8/10 | 7.8/10 | 7.9/10 |
| 5 | OpenEnergyMonitor Offers open-source energy monitoring software and hardware projects that log and visualize power data. | open-source monitoring | 8.2/10 | 8.4/10 | 7.7/10 | 8.5/10 |
| 6 | EnergyHub Aggregates energy management data for consumers and solar and storage owners with usage visibility. | consumer energy platform | 7.5/10 | 7.8/10 | 7.0/10 | 7.6/10 |
| 7 | Shelly Provides energy metering and monitoring for loads using Shelly devices with cloud dashboards and alerts. | metering devices | 7.4/10 | 7.4/10 | 7.8/10 | 6.9/10 |
| 8 | SolarEdge Monitoring Monitors solar photovoltaic and storage performance with production, consumption proxies, and alerts. | solar performance monitoring | 7.3/10 | 7.5/10 | 7.8/10 | 6.6/10 |
| 9 | Enphase Enlighten Monitors microinverter-based solar generation and system health with web-based dashboards. | solar performance monitoring | 8.1/10 | 8.2/10 | 8.6/10 | 7.5/10 |
| 10 | Tigo Energy Monitors and manages PV performance with optimizer diagnostics and remote visibility. | PV optimization monitoring | 6.6/10 | 6.4/10 | 7.0/10 | 6.6/10 |
Provides whole-home energy monitoring with circuit-level appliance identification from electrical data.
Delivers whole-home and submeter-level energy monitoring using metering devices and a web dashboard.
Controls smart energy devices and shows energy-related insights through smart home automation.
Runs local smart-home dashboards and automations that can integrate energy meters and utility feeds.
Offers open-source energy monitoring software and hardware projects that log and visualize power data.
Aggregates energy management data for consumers and solar and storage owners with usage visibility.
Provides energy metering and monitoring for loads using Shelly devices with cloud dashboards and alerts.
Monitors solar photovoltaic and storage performance with production, consumption proxies, and alerts.
Monitors microinverter-based solar generation and system health with web-based dashboards.
Monitors and manages PV performance with optimizer diagnostics and remote visibility.
Sense
home energy monitoringProvides whole-home energy monitoring with circuit-level appliance identification from electrical data.
Journey and funnel analysis with automatic event-to-user behavior modeling
Sense stands out with an automated data-wrangling workflow that turns event logs into a live model of user behavior. It provides journey and funnel analysis, cohort views, and segmentation that update as new data arrives. Teams can apply computed metrics and attribute logic to reduce manual SQL-heavy reporting. Strong visualization and shareable dashboards help stakeholders explore insights without building custom pipelines for every question.
Pros
- Auto-maps event data into analyzable user journeys
- Powerful funnels, cohorts, and segmentation for behavioral analysis
- Computed metrics and attribute logic reduce repetitive reporting work
- Fast visual exploration with shareable dashboards
Cons
- Advanced analysis still benefits from familiarity with event modeling concepts
- Less suited for deeply custom analysis that goes beyond prepared views
- Large multi-source setups can require deliberate event schema alignment
Best For
Product analytics teams needing fast behavioral insights with minimal modeling overhead
More related reading
Emporia Energy
utility-level meteringDelivers whole-home and submeter-level energy monitoring using metering devices and a web dashboard.
Circuit-level monitoring with app dashboards and historical usage trends
Emporia Energy distinguishes itself with a residential energy monitoring stack that focuses on practical whole-home visibility. It supports electric panel level monitoring and publishes live and historical usage data in an app-centric workflow. Data exports and device-level insights make it usable for ongoing energy analysis rather than one-time reporting. Condenser Software teams can use it as a measurement source for automations that depend on consistent load telemetry.
Pros
- Whole-home and circuit-level monitoring supports detailed consumption breakdown
- Mobile app surfaces actionable dashboards and trends for electricity usage
- Exports enable integration into external analysis pipelines
Cons
- Condensed automation features depend on external orchestration for complex workflows
- Installation complexity increases with multi-sensor or multi-circuit coverage
- Grid and device semantics can be harder to normalize across varied setups
Best For
Home-focused teams needing reliable load telemetry for automation workflows
Brilliant
smart energy controlControls smart energy devices and shows energy-related insights through smart home automation.
Interactive problem solving with Instant feedback on each reasoning step
Brilliant stands out with interactive, visual math and computer science lessons that act like executable study plans. The platform uses step-by-step problems, immediate feedback, and diagram-first exploration to convert concepts into working reasoning flows. Its “Learn by doing” structure emphasizes structured inputs and solver-guided progression more than free-form workflow orchestration.
Pros
- Interactive step checks guide correct reasoning through constrained input formats
- Visual lessons connect concepts to working models without manual setup overhead
- Clear progression paths for mastering topics through incremental problem solving
Cons
- Workflow automation depth is limited compared with general-purpose automation builders
- Condenser-style outputs are strongest for learning content, weaker for custom systems
- Less suited for teams needing bespoke integrations and operational dashboards
Best For
Teams teaching technical concepts with interactive, stepwise visual problem flows
More related reading
Home Assistant
open automationRuns local smart-home dashboards and automations that can integrate energy meters and utility feeds.
Event-driven automations with a unified entity model and trigger condition action engine
Home Assistant stands out with deep, local-first smart home automation that runs on self-managed hardware. It connects to many device ecosystems through a large integration catalog and supports event-driven automations using visual and YAML-based configuration. Core capabilities include dashboards, media control, voice and camera integrations, and robust state tracking that enables triggers, conditions, and actions across rooms. The platform also supports automations at scale through scripts, reusable templates, and consistent entity models.
Pros
- Local-first automation with reliable entity state management
- Large integration library covering diverse smart home device ecosystems
- Powerful triggers, conditions, and actions for complex automation flows
- Flexible dashboards and scenes that reflect room-level system organization
- Templates and scripts enable reusable logic without repeating automation steps
Cons
- Advanced automations often require YAML edits or templating knowledge
- Integration setup can be inconsistent across device brands and protocols
- Troubleshooting can be time-consuming when automations fail silently
- Performance tuning is sometimes needed for larger setups with many entities
- Managing security across remote access and accounts requires careful configuration
Best For
Smart home operators needing local automation, integrations, and customizable dashboards
OpenEnergyMonitor
open-source monitoringOffers open-source energy monitoring software and hardware projects that log and visualize power data.
emonCMS visualization and data processing for high-frequency sensor time-series
OpenEnergyMonitor stands out by pairing community-built energy measurement hardware with open software for monitoring and analysis of real electrical loads. The core capabilities center on collecting high-frequency meter data from devices like the emonTx, processing it with emonCMS, and presenting energy usage, power quality signals, and dashboards for sites. It supports rule-like alerting and time-series visualization workflows that fit data logging and reporting rather than billing automation. The result is a software-first approach for building a custom energy monitoring pipeline around collected sensor streams.
Pros
- End-to-end energy monitoring flow from sensor capture to dashboards
- Flexible time-series visualization with configurable dashboards
- Community-supported device profiles and processing modules
Cons
- Requires some hardware and wiring knowledge to get accurate readings
- Self-hosted setup can involve system administration effort
- Advanced processing often needs configuration and tuning
Best For
Home or small-site energy monitoring needing customizable dashboards
EnergyHub
consumer energy platformAggregates energy management data for consumers and solar and storage owners with usage visibility.
Automated savings recommendations driven by meter and utility account analytics
EnergyHub stands out by centering utility bill data and energy usage insights around automated carbon and cost optimization workflows. Core capabilities include account and meter data integration, automated savings recommendations, and reporting for progress tracking across sites. The platform is also designed to support energy management teams with measurable outcomes tied to operational actions. These strengths make it a fit for organizations that want evidence-based workflows rather than manual spreadsheet reconciliation.
Pros
- Energy account data normalization supports consistent cross-site reporting
- Automation turns meter trends into action-oriented savings recommendations
- Progress reporting connects energy improvements to measurable targets
Cons
- Integration setup for utilities and meters can require careful configuration
- Workflow customization is less flexible than general-purpose automation tools
- Reporting depth can lag behind specialized energy analytics platforms
Best For
Energy management teams automating savings workflows using utility bill and meter data
More related reading
Shelly
metering devicesProvides energy metering and monitoring for loads using Shelly devices with cloud dashboards and alerts.
Event-driven automations that trigger actions from Shelly device state changes
Shelly stands out by centering automation around Shelly IoT devices instead of generic workflows. It supports event-driven triggers, device telemetry, and rule-based actions that map directly to real hardware states. Core capabilities include automation rules, scenes, and integrations that connect device events to notifications and other services. Management stays tightly tied to the Shelly device ecosystem for practical home and small-site deployments.
Pros
- Device-first automations that react to real Shelly sensor and relay states
- Rule logic and scenes enable practical home control without complex engineering
- Clear device dashboards make status monitoring and debugging straightforward
- Local-friendly operation supports reliable automations during network issues
Cons
- Automation depth is strongest for Shelly hardware and weaker for mixed ecosystems
- Advanced orchestration across many services can feel limited versus workflow-centric tools
- Complex logic requires careful rule design to avoid conflicting triggers
Best For
Home and small-site teams automating Shelly devices with simple rules
SolarEdge Monitoring
solar performance monitoringMonitors solar photovoltaic and storage performance with production, consumption proxies, and alerts.
Alarm and device health monitoring with automated fault notification on SolarEdge assets
SolarEdge Monitoring stands out by tying inverter-level telemetry to actionable site performance views in a single dashboard. Core capabilities include live energy production monitoring, device health status, and fault alerts for SolarEdge inverters and related components. The system supports reporting for energy yield trends and operational diagnostics, with historical views that help pinpoint performance deviations. Integration depth is strongest inside SolarEdge ecosystems where inverter data is readily available.
Pros
- Device health and alarm status surfaces issues quickly for supported inverters
- Live production and historical yield charts make trend analysis practical
- Site-level reporting supports ongoing performance verification
Cons
- Limited visibility for non-SolarEdge hardware reduces cross-vendor monitoring
- Deep operational workflows require SolarEdge components and configuration
- Condenser-grade automation is constrained by monitoring-first design
Best For
Solar teams needing inverter monitoring dashboards with fault-driven maintenance workflows
More related reading
Enphase Enlighten
solar performance monitoringMonitors microinverter-based solar generation and system health with web-based dashboards.
Real-time system monitoring with fault and performance event alerts
Enphase Enlighten stands out by centering on solar energy system monitoring tied to Enphase hardware, not generic workflow automation. It provides live production and device-level diagnostics through a web dashboard, with alerts for inverter and system events. The core capabilities focus on visibility, historical performance, and operational troubleshooting cues that reduce manual checks after installation.
Pros
- Device-level production and status views for Enphase inverters
- Event notifications help detect faults and performance drops early
- Historical performance charts support trend analysis across days and months
- Web-first dashboard delivers quick checks without extra tooling
Cons
- Primarily monitors Enphase hardware, limiting broader fleet coverage
- Automation workflows are not a central focus of the product
- Deep operational actions depend on in-app guidance rather than scripting
Best For
Solar installers and homeowners managing Enphase systems
Tigo Energy
PV optimization monitoringMonitors and manages PV performance with optimizer diagnostics and remote visibility.
Remote monitoring for module-level power optimization with compatible Tigo hardware
Tigo Energy focuses on solar energy system optimization rather than condenser-style software workflows. It provides monitoring and control capabilities through inverter and power-optimizer integrations that support performance visibility at the device level. Core functions center on remote system monitoring, solar production analytics, and safety-relevant behaviors for compatible hardware. This makes it a strong fit for solar operations management rather than software used to build and run condenser workflows.
Pros
- Device-level monitoring supports pinpointing underperforming solar strings
- Hardware integration enables automated system behavior with compatible inverters
- Operational dashboards simplify tracking production trends
Cons
- Condensing-style workflow tooling is not the primary product focus
- Feature depth depends heavily on supported Tigo-compatible hardware
- Limited evidence of customizable process automation beyond solar monitoring
Best For
Solar teams needing device-level monitoring and control integration
How to Choose the Right Condenser Software
This buyer's guide explains how to choose Condenser Software solutions for energy monitoring, solar operations, and event-driven device automation across products like Sense, Home Assistant, and OpenEnergyMonitor. It covers key evaluation criteria drawn from concrete capabilities such as journey and funnel analysis in Sense, entity-model automations in Home Assistant, and high-frequency time-series processing in OpenEnergyMonitor. It also maps common pitfalls like schema alignment and integration setup friction to specific tools like Emporia Energy and Shelly.
What Is Condenser Software?
Condenser Software turns sensor telemetry and event logs into usable insights or automated actions through normalization, visualization, and event-driven logic. It typically consolidates electrical or energy device signals into dashboards, reports, or triggers that connect measurement to decisions. Teams use it to reduce manual reconciliation and repetitive workflow building, especially when insights must update continuously as new events arrive. Sense illustrates this approach by converting event logs into a live model of user behavior with journey and funnel analysis, while Home Assistant illustrates it by running local, event-driven automations through a unified entity model.
Key Features to Look For
Condenser Software evaluation should center on how reliably each tool transforms raw telemetry into the exact type of insight or automation workflow a team needs.
Automatic event-to-user behavior modeling with journey and funnel analysis
Sense automatically maps event data into analyzable user journeys and supports powerful journey and funnel analysis without manually building event models for every question. This enables cohort views, segmentation, and computed metrics that update as new data arrives, which is a strong fit for product analytics teams.
Circuit-level energy monitoring with panel or circuit breakdown and historical trends
Emporia Energy provides whole-home and circuit-level monitoring with electric panel level visibility and historical usage trends in an app-centric workflow. This supports ongoing energy analysis and exports for integration into external pipelines.
Local-first event-driven automations with a unified entity model
Home Assistant runs local smart-home dashboards and automations and uses a unified entity model with triggers, conditions, and actions for complex automation flows. Templates and scripts enable reusable logic without repeating automation steps, which fits operators who need predictable automation behavior at scale.
Shelter-like device-first event triggers with rule logic and scenes
Shelly focuses on automation rules that react to Shelly device telemetry and real device state changes. Scenes and device dashboards support practical monitoring and debugging, and event-driven triggers let automations map directly to hardware states.
High-frequency sensor time-series capture and emonCMS visualization pipelines
OpenEnergyMonitor pairs community-built hardware with open software to log high-frequency meter data and process it through emonCMS. It delivers flexible time-series visualization with configurable dashboards and rule-like alerting, which fits sites that need customizable data processing.
Automated savings recommendations tied to utility bill and meter analytics
EnergyHub normalizes account and meter data to support consistent cross-site reporting and automation that turns meter trends into action-oriented savings recommendations. Progress reporting connects energy improvements to measurable targets, which helps energy management teams drive outcomes with evidence-based workflows.
How to Choose the Right Condenser Software
A practical selection framework starts with the primary data source and the intended output type, then matches the tool’s automation and visualization depth to the team’s operating model.
Define the telemetry source and normalize it to your operating model
Choose Sense if the main input is event logs and the output must be behavioral insights like journeys and funnels with cohorts and segmentation that update as new data arrives. Choose Emporia Energy if the primary need is whole-home and circuit-level electrical load monitoring with historical usage trends and device exports for downstream analysis.
Match automation style to where logic should run
Select Home Assistant when automations must run local-first on self-managed hardware using an entity model with triggers, conditions, and actions. Select Shelly when automation must stay tightly tied to Shelly IoT device state changes through rule logic, scenes, and device dashboards.
Choose visualization and processing depth by required data frequency
Pick OpenEnergyMonitor when high-frequency sensor time-series capture and emonCMS visualization matter, because it supports end-to-end sensor capture and configurable dashboards built around processed time-series. Pick Sense when fast visual exploration with shareable dashboards matters more than high-frequency signal processing.
Verify integration alignment for complex fleets or mixed ecosystems
Use Home Assistant when the integration catalog must cover many device ecosystems, but plan for entity-model consistency and occasional YAML or templating edits. Use Emporia Energy when the setup must normalize grid and device semantics, because circuit coverage can make event schema alignment more deliberate in multi-sensor configurations.
For solar and PV operations, confirm hardware-specific monitoring scope
Choose SolarEdge Monitoring if operational workflows require inverter health, alarm status, live production charts, and automated fault notifications inside the SolarEdge ecosystem. Choose Enphase Enlighten when real-time system monitoring and fault or performance event alerts for Enphase microinverters are the priority, and choose Tigo Energy when module-level power optimizer diagnostics and remote visibility for compatible Tigo hardware are required.
Who Needs Condenser Software?
Condenser Software tools fit teams that must convert measurement or event streams into decisions, monitoring workflows, or event-driven actions without building a custom pipeline for every new question.
Product analytics teams needing fast behavioral insights with minimal modeling overhead
Sense is built for teams that want journey and funnel analysis with automatic event-to-user behavior modeling, cohorts, and segmentation that update as new data arrives. Sense also adds computed metrics and attribute logic so reporting work stays less SQL-heavy.
Home and small-site teams needing reliable circuit-level load telemetry for analysis and automation
Emporia Energy supports whole-home and submeter or circuit-level monitoring with panel-level visibility, app dashboards, and historical usage trends. Emporia Energy also provides exports so measurement data can feed external analysis pipelines for ongoing energy analysis.
Smart home operators who want local-first automation with reusable logic
Home Assistant fits operators who need a unified entity model with triggers, conditions, and actions that run on self-managed hardware. Templates and scripts help reuse logic across rooms and reduce repeated automation steps.
Energy monitoring teams that need customizable time-series workflows with sensor-grade visualization
OpenEnergyMonitor fits home and small-site monitoring needs where configurable dashboards and high-frequency sensor time-series pipelines are central. emonCMS visualization and data processing support customizable monitoring without forcing the workflow into a fixed reporting template.
Common Mistakes to Avoid
Common failures come from choosing a tool whose data model, ecosystem scope, or automation depth does not match the team’s input signals and operational requirements.
Expecting deep custom automation in monitoring-first tools
SolarEdge Monitoring and Enphase Enlighten emphasize monitoring and fault or performance event alerts for their supported hardware rather than condenser-style workflow orchestration. Choose Home Assistant or Shelly when automation must drive actions from event triggers with flexible logic and reusable components.
Underestimating event schema alignment for multi-source setups
Sense performs best when event modeling aligns with its automatic event-to-user behavior modeling approach, because advanced analysis still benefits from familiarity with event modeling concepts. Emporia Energy also requires deliberate grid and device semantics normalization when circuit coverage grows beyond simple setups.
Choosing device-first automation without accounting for mixed ecosystems
Shelly’s automation depth is strongest for Shelly hardware and weaker for mixed ecosystems, which can limit rule logic when non-Shelly sensors must participate. Home Assistant’s large integration library helps cover many ecosystems, but troubleshooting can require careful configuration when automations fail silently.
Skipping processing and tuning for high-frequency monitoring pipelines
OpenEnergyMonitor can provide end-to-end sensor capture and emonCMS visualization, but accurate readings still require hardware and wiring knowledge and advanced processing often needs configuration and tuning. EnergyHub also requires careful utility and meter integration setup for normalized cross-site reporting, because workflow customization is less flexible than general-purpose automation tools.
How We Selected and Ranked These Tools
we evaluated every tool on three sub-dimensions. Features received a weight of 0.4, ease of use received a weight of 0.3, and value received a weight of 0.3. The overall rating is computed as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Sense separated itself from lower-ranked tools through standout features such as automatic event-to-user behavior modeling for journey and funnel analysis paired with shareable dashboards that support fast visual exploration.
Frequently Asked Questions About Condenser Software
How do Sense and Emporia Energy differ when used as data sources for condenser-style automation workflows?
Sense converts event logs into an automatically updated behavioral model with journey, funnel, and cohort analysis. Emporia Energy focuses on residential load telemetry at the electric panel level and provides app-driven live and historical usage that supports consistent automation inputs.
Which tool is best for building event-driven automations with minimal custom glue code, and why?
Home Assistant fits event-driven automation because it runs locally and uses an entity model with triggers, conditions, and actions across rooms. Shelly also supports event-driven rules, but it stays tightly mapped to Shelly device state changes for practical small-site deployments.
What’s the most direct path from high-frequency energy sensing to dashboards and alerts?
OpenEnergyMonitor supports a software-first pipeline where meter data from emonTx is processed in emonCMS and visualized in time-series dashboards. It also enables rule-like alerting tied to sensor streams rather than focusing on one-time reporting.
How do SolarEdge Monitoring and Enphase Enlighten handle device health and fault visibility?
SolarEdge Monitoring ties inverter-level telemetry to site performance views and surfaces device health and fault alerts for SolarEdge assets. Enphase Enlighten provides live production and device-level diagnostics through a web dashboard with alerts for inverter and system events.
Which solar monitoring platform is more suitable for diagnosing performance deviations over time?
SolarEdge Monitoring includes historical yield trends and operational diagnostics designed to pinpoint performance deviations. Enphase Enlighten emphasizes historical performance and troubleshooting cues that reduce manual checks after installation.
How does EnergyHub approach optimization outcomes compared with a telemetry-first tool like OpenEnergyMonitor?
EnergyHub centers automation around utility bill and meter data to generate carbon and cost optimization recommendations with progress reporting across sites. OpenEnergyMonitor centers on collecting and visualizing high-frequency meter data so teams can build customized dashboards and analysis around captured sensor signals.
When would Brilliant be a better fit than smart home automation tools like Home Assistant for a condenser software workflow?
Brilliant fits condenser-adjacent workflows that require interactive, step-by-step reasoning and immediate feedback in visual problem formats. Home Assistant targets state-driven automation with dashboards and integrations, not guided reasoning pipelines.
What integration constraint is most likely to affect system design for Shelly versus broader smart-home ecosystems?
Shelly keeps automation management tightly coupled to the Shelly IoT device ecosystem, so rules map directly to Shelly telemetry and device states. Home Assistant uses a large integration catalog and a unified entity model, which broadens device ecosystem compatibility for trigger-condition-action workflows.
Which tool is most appropriate for remote monitoring and control integration at the module or optimizer level in solar systems?
Tigo Energy supports remote monitoring with inverter and power-optimizer integrations that provide device-level performance visibility and safety-relevant behaviors for compatible hardware. SolarEdge Monitoring and Enphase Enlighten primarily emphasize inverter-level telemetry and system events within their respective ecosystems.
Conclusion
After evaluating 10 environment energy, Sense 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
Referenced in the comparison table and product reviews above.
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