GITNUXSOFTWARE ADVICE
Business FinanceTop 10 Best Location Finder Software of 2026
Top 10 location finder software ranked by accuracy and tracking for site teams, with comparisons of MetaLocator, Uberall, and Bullseye Locations.
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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MetaLocator is the best pick for businesses that need dependable address-to-coordinate normalization for interactive forms and bulk backfills, whereas Uberall fits when multi-location teams want a governed source of truth across the finder and directory experience.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
MetaLocator
Address autocomplete plus normalization designed for consistent place identifiers across real-time and batch lookups.
Uberall
Editor pickLocation profile publishing workflows that keep finder results aligned with externally distributed store attributes.
Bullseye Locations
Editor pickBulk processing with address normalization and coordinate consistency checks for large location lists.
Related reading
Comparison Table
Location finder software powers store locators, nearby search, and local inventory queries by combining address data models with API or embedded widgets and workflow automation. This ranked list targets engineering-adjacent evaluators who need to compare extensibility, data provisioning, and operational controls like RBAC and audit logging across varied deployment patterns.
MetaLocator
SMBCloud-based store locator and location finder software for businesses of all sizes.
Address autocomplete plus normalization designed for consistent place identifiers across real-time and batch lookups.
MetaLocator’s core workflow centers on turning user-entered addresses or place names into standardized coordinates and consistent place identifiers for later joins. It supports address autocomplete for interactive forms and geocoding outputs that plug into map rendering, spatial filtering, and proximity search. Batch geocoding helps teams backfill legacy datasets without manual cleanup.
A key tradeoff is operational overhead during rollout because consistent address normalization depends on defining how ambiguous inputs are resolved. MetaLocator fits well for customer-facing checkout or logistics intake where address capture, coordinate generation, and validation must run in the request path.
- +Interactive address autocomplete reduces invalid address submissions
- +Batch geocoding supports large backfills and historical normalization
- +Output-ready coordinates integrate with map rendering workflows
- +Consistent place identifiers simplify joins across datasets
- –Ambiguous addresses require clear resolution rules during onboarding
- –Rooftop-level expectations can be uneven for sparse address areas
- –Advanced spatial workflows depend on GIS-aware downstream consumers
- –Complex routing use cases need additional routing logic outside geocoding
ecommerce operations teams
Address capture and coordinate generation
Fewer shipping errors
logistics data teams
Bulk backfill of legacy addresses
Consistent location history
Show 2 more scenarios
field service planners
Proximity matching for dispatch
Faster dispatch decisions
Normalized coordinates support proximity search and crew-to-site matching.
GIS and mapping engineers
Map SDK-ready coordinate outputs
Cleaner geospatial views
Generated coordinates feed map layers for location visualization and filtering.
Best for: Fits when teams need address-to-coordinate normalization for interactive forms and bulk backfills.
More related reading
Uberall
enterpriseLocation marketing platform with embeddable store locator, local listings, and reputation management.
Location profile publishing workflows that keep finder results aligned with externally distributed store attributes.
Uberall is a fit for organizations managing many physical locations with frequent content changes, because it centers on location profiles and multi-location publishing workflows. It provides an operational loop for updating location attributes and propagating those updates across external listings, which reduces drift between the location finder view and published directory content. Integration and API access support automation for field updates and operational events tied to locations.
A tradeoff is that Uberall is strongest when the location finder experience can be tied to its maintained location profiles, because independent custom geocoding or POI authoring flows are not the primary focus. Teams get the best results when location finder results must stay aligned with the attributes being distributed externally, such as when changing store status, service coverage, or operational hours.
Operational controls help larger teams avoid uncontrolled edits, because change handling and role-based permissions support review and rollout patterns. This makes Uberall practical for multi-brand operators where local managers need a controlled path to request updates.
- +Bulk location updates keep location finder output consistent
- +API and integrations support automated location attribute sync
- +Approval workflow reduces uncontrolled changes across portfolios
- +Centralized location profiles align directory and finder experiences
- –Best results require tying the finder to Uberall managed profiles
- –Setup takes effort when roles and governance need careful mapping
- –Custom POI editing workflows are not its primary strength
- –Advanced finder personalization depends on integration design
Multi-location retail ops
Bulk update hours and services
Lower location data drift
Local marketing teams
Request and approve location changes
Controlled store data updates
Show 2 more scenarios
Platform engineering teams
Automate location attribute synchronization
Reduced manual operations
APIs and integrations support automated pushes of store fields to the finder experience.
Brand operators with affiliates
Standardize multi-brand location profiles
Consistent customer-facing content
Shared location data governance helps keep attributes consistent across brands.
Best for: Fits when multi-location operators need a governed source of truth across finder and directory content.
Bullseye Locations
mid-marketStore locator and location management platform with lead routing and SEO features.
Bulk processing with address normalization and coordinate consistency checks for large location lists.
Bullseye Locations is built around managing location lists that need consistent coordinates, clean addresses, and repeatable matching behavior. Address normalization and enrichment reduce duplicates caused by inconsistent street spelling and formatting. Bulk workflows support high-volume geocoding runs when teams maintain store networks or service coverage areas.
A tradeoff is that teams must invest time in tuning matching rules for edge cases like building complexes and suite-level addresses. Bullseye Locations fits best when location data is already modeled as a list of points that must be enriched and then queried by proximity or map-driven views.
- +Bulk geocoding workflows reduce repeated manual address lookups
- +Address normalization improves coordinate consistency across datasets
- +Location enrichment helps keep POI records usable for downstream mapping
- +API-friendly access supports automated geocoding and search calls
- –Matching behavior needs tuning for suite-level and complex addresses
- –Advanced spatial workflows are limited compared with GIS-first tools
- –Indoor positioning and BLE workflows are not a primary focus
- –Map SDK customization depends on available integration hooks
Retail operations teams
Normalize store addresses for mapping
Fewer duplicate locations
Field sales analytics teams
Find nearby locations for coverage
Cleaner territory analytics
Show 2 more scenarios
Marketing ops teams
Update campaign location records
More accurate audience routing
Reprocess location lists to keep coordinates aligned across campaign audiences.
Location data stewards
Detect mismatched coordinate outputs
Reduced bad matches
Use normalization and consistency checks to flag problematic address matches.
Best for: Fits when location teams need repeatable geocoding, enrichment, and proximity search at scale.
Woosmap
enterpriseLocation intelligence platform offering store locator, search, and geofencing APIs.
Business-focused POI search and place configuration that keeps map results aligned with curated locations.
Woosmap focuses on location experiences by pairing a POI database with map-based search and address enrichment. It supports address autocomplete, geocoding, and reverse geocoding through an API designed for application integration.
Admin workflows center on configuring place sources and search behavior so teams can control what results appear to users. The key differentiator is operational around place data, so deployments can keep map results aligned with business-defined points of interest.
- +POI-backed search that returns business-relevant results
- +Address autocomplete supports high-frequency UI queries
- +Geocoding and reverse geocoding available as API endpoints
- +Configurable search rules help keep results consistent
- –Strong governance needed to keep POI data aligned
- –Reverse lookups can return multiple plausible matches
- –Some advanced workflows require deeper API integration
- –Indoor or BLE positioning is not a native focus
Best for: Fits when teams need POI-aware search and address enrichment integrated into production apps.
EasyMapMaker
SMBWeb tool for creating custom Google Maps from spreadsheet or CSV location data.
Interactive layer editing tied to imported location sets lets teams adjust labels and styling without rebuilding the map dataset.
EasyMapMaker generates location maps from datasets by letting users define points and visualize results on an interactive map view. It focuses on practical workflow steps like importing coordinates, labeling places, and sharing map outputs with stakeholders.
Core capabilities center on coordinate-based plotting and map-layer configuration for tracking locations across a geography. Export and interchange support for common geospatial formats is used to move location data between systems.
- +Fast point plotting from coordinate and place lists
- +Map layer configuration supports multiple visualization views
- +Shareable map outputs reduce manual screenshot workflows
- +Export-friendly location data supports downstream GIS use
- –Limited evidence of an end-to-end geocoding engine workflow
- –Fewer controls for address normalization and rooftop-level matching
- –Automation surface and API hooks are not described for scale
- –Governance controls for teams and approvals appear minimal
Best for: Fits when teams need coordinate-based map publishing with lightweight editing and sharing.
NearSt
vertical specialistReal-time local inventory platform with store finder for retail brands.
NearSt’s proximity matching returns ranked POI results designed for near-me experiences, with consistent coordinate-to-place handling.
NearSt is a location finder focused on turning coordinates and address inputs into near-me style place matches. It emphasizes quick proximity search against a POI dataset and returns consistent results for routing-adjacent use cases.
The solution is built around geocoding workflows that support reverse lookups and address normalization to reduce mismatches. For operational deployment, NearSt is suited to teams that need an API-driven integration surface and automation for lookup rules and result formatting.
- +Proximity search tuned for near-me workflows with POI result ordering
- +Reverse lookup workflow supports address details from coordinates
- +Address normalization reduces common input variations
- +API-first integration supports automation of location lookups
- –Less suitable for advanced routing and turn-by-turn navigation
- –Geofencing workflows require careful boundary and update configuration
- –Limited visibility into internal match rationale for edge cases
- –Batch processing support is narrower than large geocoder ecosystems
Best for: Fits when a team needs near-me POI matching from coordinates or addresses with API automation.
Rio SEO
enterpriseLocal marketing automation platform with store locator, local landing pages, and local analytics.
Location tracking that associates ranking changes to city and store landing pages through automated reporting workflows.
Rio SEO pairs local SEO content workflows with location-centric tracking, focusing on pages tied to cities and stores rather than generic rank monitoring. It provides location and keyword tracking that maps SEO performance back to specific landing pages, including visibility changes across search results.
Automation features support recurring tasks for reporting and updates, and configuration is designed for agencies managing multiple client locations. Rio SEO also supports integrations and a documented API surface for syncing location data and pulling performance metrics into internal systems.
- +Location-page tracking ties visibility shifts to specific city and store URLs
- +Automations handle recurring reporting and workflow steps for multi-location sites
- +Integration options and API support data sync into external reporting stacks
- +Agency-style configuration supports managing many locations under separate contexts
- –Best results depend on maintaining consistent naming and URL mapping for locations
- –Location analytics focus on SEO signals rather than geospatial routing or map SDK output
- –Advanced reporting requires workflow discipline across location groups
- –Geocoding-grade coordinate normalization is not the core strength
Best for: Fits when SEO teams need location-level visibility tracking linked to dedicated landing pages.
Store Locator Plus
SMBWordPress-based store locator plugin with extensive customization options.
Store Locator Plus uses a configurable proximity search flow that ties store data quality checks to the displayed ranking.
Store Locator Plus is a location finder solution that focuses on fast store discovery and configurable search behavior for retail and service networks. Core capabilities include map-based browsing with address input, store filtering, and management workflows for keeping listings current across regions.
The product also supports data ingestion for store inventories and location updates, which reduces manual admin work when store networks change. Integration options center on embedding the locator experience into existing sites while maintaining control over search and presentation rules.
- +Embedding-ready locator widget for consistent store discovery on existing pages
- +Configurable search rules for distance matching and results ordering
- +Batch-friendly store data updates to reduce repetitive admin edits
- +Map and listing rendering that keeps store context visible during browsing
- –API surface limits automation for advanced routing and dynamic inventories
- –Setup requires careful address normalization to avoid mismatched results
- –Governance controls for multi-editor workflows feel limited for larger teams
- –Indoor and venue-level positioning workflows are not a core focus
Best for: Fits when teams need a configurable store locator with reliable distance-based results and manageable content updates.
Locally
vertical specialistLocal inventory and store locator platform connecting brands to nearby retailers.
Configurable enrichment pipelines that standardize place fields for repeated batch imports across multiple projects.
Locally performs location discovery and enrichment by converting place and address inputs into consistently formatted location records for downstream use. The product focuses on mapping-ready outputs such as standardized addresses, coordinate fields, and place metadata that reduce manual cleaning work.
Locally also supports programmatic integration, including REST-style lookups for geocoding workflows and batch enrichment operations. Admin controls are oriented around managing data sources and ingestion settings so teams can keep enrichment behavior consistent across projects.
- +Standardizes address outputs into consistent fields for downstream systems
- +Batch enrichment supports higher throughput than interactive-only lookup
- +REST-style API enables repeatable enrichment in applications
- +Project-scoped configuration helps keep enrichment behavior consistent
- –Geocoding quality still depends on input formatting discipline
- –Limited visibility into match reasoning compared with systems that expose scoring
- –Indoor positioning and BLE use cases are not a core focus
- –Advanced map rendering requires external map SDK configuration
Best for: Fits when teams need consistent place enrichment via API with batch workflows and strict output formatting.
LocationIQ
API-firstGeocoding and place search API with autocomplete, reverse geocoding, and nearby query support.
Batch geocoding endpoints support high-volume enrichment without building custom queue orchestration.
LocationIQ serves teams that need geocoding and reverse geocoding workflows backed by a large POI database. Address normalization and consistent place mapping are central to how results are returned through a REST API geocoder and batch geocoding jobs.
Reverse geocoding responses support common app needs like showing human-readable street details from coordinates. Automation is geared toward programmatic lookup pipelines that feed mapping, search, and location-based screens.
- +REST API geocoder supports both single and bulk lookup workflows
- +Reverse geocoding returns readable address components from coordinates
- +POI database coverage is suitable for search and map labeling
- +Batch requests reduce overhead for nightly enrichment jobs
- –Geocoding quality varies across ambiguous place names and languages
- –Routed workflows require application-side logic for ranking candidates
- –Payload formats need careful handling for consistent address normalization
- –Operational governance is limited to what the API layer exposes
Best for: Fits when engineering teams need API-driven geocoding and POI lookups with batch enrichment.
Conclusion
After evaluating 10 business finance, MetaLocator 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 location finder software
This buyer's guide explains how to choose location finder software using concrete capabilities shown across MetaLocator, Uberall, Bullseye Locations, Woosmap, EasyMapMaker, NearSt, Rio SEO, Store Locator Plus, Locally, and LocationIQ.
The guide focuses on integration depth, automation and API surface, and admin governance control as they relate to address normalization, proximity matching, and POI-backed search or enrichment.
Location finder software that converts place inputs into map-ready matches and managed place records
Location finder software turns user inputs like addresses or coordinates into standardized place outputs such as coordinates plus enriched location fields for mapping and analytics. Teams use it to reduce address mismatches, support interactive store discovery, and run batch normalization so multiple systems share consistent place identifiers.
MetaLocator illustrates the address-to-coordinate normalization workflow with interactive autocomplete and bulk geocoding plus consistent place identifiers. Uberall shows how location finder output can be governed through location profile publishing workflows that keep finder results aligned with distributed store attributes.
Evaluation criteria for location finder tools: normalization quality, POI governance, automation surface, and operational fit
A location finder’s job starts at match quality and ends at how well teams can automate and govern location data across channels. The right selection depends on whether the main workflow is interactive lookup, batch enrichment, POI-aware search, or near-me style proximity matching.
The most consequential differences show up in address normalization behavior, POI and place configuration control, API and bulk throughput options, and how easily match results stay consistent across real-time and batch pipelines.
Address autocomplete and consistent place identifiers
Address autocomplete reduces invalid submissions during interactive browsing, and consistent place identifiers help teams join outputs across datasets. MetaLocator stands out with address autocomplete plus normalization designed for consistent place identifiers across real-time and batch lookups.
Bulk geocoding and address normalization at scale
Batch geocoding prevents manual backfills and keeps historical records aligned with the same normalization rules. Bullseye Locations emphasizes bulk processing with address normalization and coordinate consistency checks, while LocationIQ supports batch geocoding endpoints for high-volume enrichment jobs.
POI-aware search backed by curated place configuration
POI-aware search returns business-relevant results when search ranking depends on curated points of interest. Woosmap focuses on POI database-backed search plus configurable place sources so deployments keep results aligned with business-defined points of interest.
Near-me style proximity matching with ranked POI outputs
Near-me experiences depend on proximity search and stable ranking for POI results near an input location. NearSt is built around proximity matching that returns ranked POI results designed for near-me use, with reverse lookup and address normalization to reduce mismatches.
Finder and directory governance through publish workflows
Large portfolios need approval and publishing controls so updates do not drift between finder output and externally distributed directory data. Uberall provides location profile publishing workflows and an approval workflow that reduces uncontrolled changes across multi-location portfolios.
API and batch integration surface with predictable outputs
Automation quality depends on how well the tool exposes REST-style lookup endpoints and structured enrichment outputs. Locally offers configurable enrichment pipelines with REST-style lookups and batch enrichment for standardized place fields, while Woosmap provides geocoding and reverse geocoding as API endpoints.
Decision framework for selecting a location finder based on match workflow and governance needs
Start by identifying the dominant workflow pattern. Interactive lookup needs autocomplete and predictable real-time normalization, while operational backfills require batch processing and stable formatting.
Then evaluate how the tool fits the operating model. Tools like Uberall and Woosmap optimize for governed POI and place configuration, while MetaLocator and Bullseye Locations focus more directly on normalization consistency across real-time and bulk pipelines.
Choose the workflow shape: interactive store discovery or batch normalization
If the primary use is a front-end store locator with fast address input, MetaLocator’s address autocomplete plus normalization designed for consistent place identifiers is a strong fit. If the primary use is recurring backfills and ongoing updates, Bullseye Locations emphasizes bulk processing with coordinate consistency checks and NearSt focuses on API-driven proximity matching rather than advanced routing.
Decide whether results must come from curated POIs or from broader geocoding and POI coverage
If map results must align with business-defined curated places, Woosmap centers on POI-aware search with place configuration controls. If engineering needs a broader REST API geocoder backed by POI database coverage for automated enrichment pipelines, LocationIQ supports single and bulk workflows with batch geocoding endpoints.
Select the integration philosophy: API-first enrichment, governed profile publishing, or plugin embedding
For API-first enrichment feeding multiple applications, Locally offers REST-style lookups and batch enrichment with project-scoped configuration that standardizes place fields. For governed finder output aligned with external directory attributes, Uberall ties location finder results to centrally managed location profiles with approvals. For teams embedding a locator directly into existing WordPress experiences, Store Locator Plus focuses on a configurable proximity search flow plus widget embedding rather than an advanced routing and geocoding automation surface.
Validate match behavior on ambiguous inputs using your own address patterns
Ambiguous addresses can require clear resolution rules, and MetaLocator flags that onboarding needs resolution rules for ambiguous matches. NearSt and LocationIQ also face candidate-ranking needs during ambiguity, so testing should include language variants and multi-unit or suite address patterns relevant to the business.
Map operational governance to the tool’s admin controls and publishing model
Multi-location governance requires approval workflows and role mapping, which Uberall is designed to provide through approval workflows for portfolio changes. If governance is primarily about controlling what appears in search results, Woosmap’s admin workflows center on configuring place sources and search behavior. If governance is about consistent field formatting across projects, Locally’s project-scoped enrichment pipeline configuration is the safer starting point.
Confirm whether the tool supports the required spatial depth beyond place matching
If the main goal is POI match ranking for near-me experiences, NearSt’s proximity matching is designed for that output. If spatial workflows require GIS-aware downstream processing or deeper spatial logic, MetaLocator notes that advanced spatial workflows depend on GIS-aware consumers. If advanced routing and turn-by-turn navigation are required, Rio SEO and Store Locator Plus center on location tracking and locator rendering, so application-side routing logic will still be necessary.
Who should buy location finder software based on the actual output and operating model needed
The best fit depends on whether the tool’s core value is normalization for coordinates, POI-aware search, proximity ranking, or governed updates across directories and channels. The reviewed tools map to distinct operating models for retail store locators, enrichment pipelines, and location-based analytics.
Choosing based on workflow fit avoids forcing directory governance into tools built for lightweight locator embedding or forcing SEO location tracking into geocoding-grade normalization workflows.
Retail and multi-location operators needing a governed source of truth across finder and directory
Uberall is the clearest match when store data changes must flow through approval workflow and location profile publishing so finder results stay aligned with externally distributed store attributes.
Location teams running repeated backfills, enrichment, and proximity search at scale
Bullseye Locations is designed for repeatable bulk geocoding and address normalization with coordinate consistency checks, while NearSt targets near-me proximity matching with API-driven lookup rules.
Product and engineering teams building apps that need POI-aware search or REST enrichment endpoints
Woosmap provides API endpoints for geocoding and reverse geocoding plus POI-backed search with configurable place sources, while LocationIQ provides a REST API geocoder with reverse geocoding and nearby query support for automated enrichment pipelines.
Organizations focused on data-format consistency during batch enrichment across projects
Locally standardizes address outputs into consistent fields with configurable enrichment pipelines and project-scoped settings, making it suitable for strict output formatting in repeated batch imports.
Teams building a store locator inside an existing content system and prioritizing embedding and UI behavior
Store Locator Plus is oriented around a WordPress embedding-ready locator widget with configurable distance-based results ordering and map or listing rendering for browsing.
Common selection and implementation mistakes that break location finder accuracy or operations
Several issues repeat across tools when teams choose based on UI appearance instead of match quality, throughput, or governance controls. These mistakes surface as unstable results across real-time versus batch pipelines, weak handling of ambiguous inputs, or insufficient admin control for multi-editor teams.
The following pitfalls map directly to cons called out by the reviewed tools and to the capabilities that are specifically positioned to prevent them.
Assuming rooftop-level accuracy without defining resolution rules for ambiguous addresses
MetaLocator explicitly requires clear resolution rules during onboarding for ambiguous addresses, and Rooftop-level expectations can vary in sparse address areas. The correction is to run a representative ambiguity test set through MetaLocator normalization rules before production rollout.
Picking POI search without governance alignment between place sources and business-defined POIs
Woosmap requires strong governance to keep POI data aligned, and reverse lookups can return multiple plausible matches. The correction is to implement admin workflows for place configuration and acceptance rules so the POI search and reverse geocoding outputs remain consistent with business-defined points.
Overbuilding routing complexity inside a geocoder-focused workflow
MetaLocator focuses on normalization and mentions complex routing use cases need additional routing logic outside geocoding. The correction is to separate place matching and candidate ranking from routing execution in the application layer, especially for turn-by-turn navigation requirements.
Treating a locator widget as an automation platform for advanced workflows
Store Locator Plus limits the API surface for automation for advanced routing and dynamic inventories, and governance controls for multi-editor workflows feel limited for larger teams. The correction is to use Store Locator Plus for configurable locator rendering and keep complex routing and dynamic inventory logic in the surrounding application or integration layer.
Skipping a disciplined input and matching strategy for payload formats and edge cases
LocationIQ notes payload formats need careful handling for consistent address normalization, and geocoding quality varies across ambiguous place names and languages. The correction is to standardize input formatting and validate candidate-ranking behavior for your languages and address patterns before relying on batch enrichment outputs.
How We Selected and Ranked These Tools
We evaluated MetaLocator, Uberall, Bullseye Locations, Woosmap, EasyMapMaker, NearSt, Rio SEO, Store Locator Plus, Locally, and LocationIQ using features, ease of use, and value, with features carrying the most weight at forty percent while ease of use and value each account for thirty percent. The overall rating is a weighted average across those three categories, and the scoring emphasizes how consistently each tool delivers location matching outputs through autocomplete, bulk processing, API endpoints, or POI-backed search workflows.
MetaLocator separated from the lower-ranked tools because its address autocomplete plus normalization is designed for consistent place identifiers across real-time and batch lookups. That same capability lifts the features score and improves ease-of-use outcomes for teams that need stable joins across interactive store forms and bulk backfills.
Frequently Asked Questions About location finder software
Which tools provide both forward and reverse geocoding through an API for apps?
How does address normalization affect map accuracy and duplicate locations?
Which solution fits bulk geocoding and backfills for large address lists?
When do POI-aware results matter more than plain coordinate lookups?
How can teams keep multi-location directory data consistent across systems?
What breaks if a location finder lacks a strong admin control model for place sources and ingestion settings?
Which tools support proximity search workflows for routing-adjacent experiences?
How do geospatial export formats and map SDK outputs factor into integration?
Which options include extensibility via documented API-style integration surfaces for lookup rules and result formatting?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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