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Art DesignTop 10 Best Artist Database Software of 2026
Compare the top 10 Artist Database Software tools for organizing artist contacts, releases, and rights. Explore the best picks.
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.
Airtable
Linked Records for building relational artist-to-work-to-event structures
Built for creative teams managing relational artist catalogs with lightweight automation.
Notion
Relational databases with linked records and multiple live views
Built for artists and small teams managing linked catalogs, references, and outreach workflows.
Coda
Packs interactive dashboard layouts using tables, filters, and formulas
Built for teams building interactive artist rosters with relational views and lightweight workflow.
Related reading
Comparison Table
This comparison table evaluates artist database software, including Airtable, Notion, Coda, Knack, Baserow, and other popular options. It breaks down how each tool handles core needs like structured records, searchable fields, custom views, collaboration, and automation so buyers can match software capabilities to their workflows.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Airtable A cloud spreadsheet-database that lets teams build an artist directory with linked records, filters, forms, and custom views. | all-in-one | 8.7/10 | 9.0/10 | 8.5/10 | 8.6/10 |
| 2 | Notion A database workspace that supports an artist directory using relational tables, tags, galleries, and permissioned collaboration. | database-wiki | 7.9/10 | 8.2/10 | 7.8/10 | 7.6/10 |
| 3 | Coda An interactive docs-and-database builder that can store artist profiles and query them with automation and formulas. | automation-ready | 7.7/10 | 8.4/10 | 7.4/10 | 6.9/10 |
| 4 | Knack A low-code app platform for creating artist databases with searchable records, role-based access, and custom app pages. | low-code app | 7.7/10 | 8.1/10 | 7.6/10 | 7.4/10 |
| 5 | Baserow An open-source database app that manages artist records with views, filters, and API access for directory and CRM-style workflows. | open-source | 8.1/10 | 8.6/10 | 7.6/10 | 7.9/10 |
| 6 | AppSheet A no-code application platform that turns a structured artist dataset into a searchable app with forms and workflows. | no-code apps | 7.9/10 | 8.0/10 | 8.3/10 | 7.3/10 |
| 7 | Knime An analytics workflow tool that can ingest artist datasets and perform data cleaning, enrichment, and matching for directory quality. | data-integration | 7.4/10 | 8.0/10 | 6.9/10 | 7.0/10 |
| 8 | Microsoft Dataverse A structured data platform for building an artist directory as part of a CRM-style system with security, validation, and APIs. | enterprise-data | 7.6/10 | 8.0/10 | 7.1/10 | 7.4/10 |
| 9 | Salesforce A CRM platform that stores artist entities using custom objects and provides search, workflows, and API-driven updates. | CRM-based | 7.8/10 | 8.3/10 | 7.1/10 | 7.8/10 |
| 10 | Zoho Creator A low-code form and database builder that creates artist directory apps with role-based views and integrations. | low-code app | 7.2/10 | 7.4/10 | 7.0/10 | 7.1/10 |
A cloud spreadsheet-database that lets teams build an artist directory with linked records, filters, forms, and custom views.
A database workspace that supports an artist directory using relational tables, tags, galleries, and permissioned collaboration.
An interactive docs-and-database builder that can store artist profiles and query them with automation and formulas.
A low-code app platform for creating artist databases with searchable records, role-based access, and custom app pages.
An open-source database app that manages artist records with views, filters, and API access for directory and CRM-style workflows.
A no-code application platform that turns a structured artist dataset into a searchable app with forms and workflows.
An analytics workflow tool that can ingest artist datasets and perform data cleaning, enrichment, and matching for directory quality.
A structured data platform for building an artist directory as part of a CRM-style system with security, validation, and APIs.
A CRM platform that stores artist entities using custom objects and provides search, workflows, and API-driven updates.
A low-code form and database builder that creates artist directory apps with role-based views and integrations.
Airtable
all-in-oneA cloud spreadsheet-database that lets teams build an artist directory with linked records, filters, forms, and custom views.
Linked Records for building relational artist-to-work-to-event structures
Airtable stands out for turning relational artist data into flexible, spreadsheet-like apps without requiring database engineering. It supports custom fields, linked records across collections and creatives, and powerful views for filtering and sorting talent lists. Automation can route updates between collaborators and keep review statuses synchronized across workflows. The platform also supports attachments, collaboration notes, and galleries that visualize artist portfolios directly from database records.
Pros
- Relational linked records connect artists, works, genres, and events
- Flexible views include grids, calendars, kanban boards, and gallery layouts
- Automation keeps fields and statuses in sync across multi-step workflows
- Attachments and rich text support portfolio files and curatorial notes
Cons
- Complex multi-table logic can feel heavy compared with purpose-built CRM
- Permissions and sharing setups require careful configuration for large teams
- Search and reporting across many linked fields can become cumbersome
- Data model changes may disrupt existing automations and interfaces
Best For
Creative teams managing relational artist catalogs with lightweight automation
More related reading
Notion
database-wikiA database workspace that supports an artist directory using relational tables, tags, galleries, and permissioned collaboration.
Relational databases with linked records and multiple live views
Notion stands out for turning artist records into customizable databases that also serve as notes, project trackers, and internal documentation. It provides relational database views, flexible property fields, and filterable timelines that work well for cataloging artists, exhibitions, and collaborations. With Notion Automations, users can trigger updates across linked views and pages to keep the database consistent as entries evolve. It also supports lightweight media storage and quick linking between an artist profile and related tasks, files, and research notes.
Pros
- Relational databases link artists to projects, exhibitions, and contacts
- Multiple synced views support tables, boards, and calendars for the same dataset
- Custom properties and templates speed creation of consistent artist profiles
- Quick page linking connects bios, references, and tasks without extra tooling
- Notion Automations can propagate field changes across linked records
Cons
- Complex schema design takes time and often needs ongoing cleanup
- Advanced reporting and analytics for large datasets remain limited
- Media-heavy artist galleries can feel clunky compared with media-first tools
Best For
Artists and small teams managing linked catalogs, references, and outreach workflows
Coda
automation-readyAn interactive docs-and-database builder that can store artist profiles and query them with automation and formulas.
Packs interactive dashboard layouts using tables, filters, and formulas
Coda stands out for combining docs, tables, and dashboards inside one flexible workspace for artist records. It supports relational tables, live formulas, and interactive views that let teams filter and browse rosters by discipline, location, and availability. Built-in automations can update fields and notify stakeholders when submissions or profile data change. Strong templating and embedded components reduce repeated setup for multi-artist database workflows.
Pros
- Relational tables link artists to works, exhibitions, and galleries
- Doc pages and database views stay synchronized in one source of truth
- Reusable templates speed up new artist profile and roster setups
- Automations update fields and trigger actions on data changes
- Powerful formulas support scoring, deduping, and custom derived fields
Cons
- Formula-heavy builds require practice to stay maintainable
- Complex automations can be harder to debug than simple triggers
- Advanced permission setups can feel unintuitive for large teams
- Performance can lag with very large datasets and many linked views
Best For
Teams building interactive artist rosters with relational views and lightweight workflow
More related reading
Knack
low-code appA low-code app platform for creating artist databases with searchable records, role-based access, and custom app pages.
Relational database modeling with linked records across artists, works, and events
Knack stands out for fast database-building with app-style interfaces that non-developers can configure. It supports artist-focused data modeling with custom fields, categories, and relational links between works, exhibitions, and creators. Search, filtering, and record-based dashboards make it useful for maintaining curated catalogs and internal directories. Publication-grade pages and role-based access help teams share selected views without building a separate system from scratch.
Pros
- Configurable record types with custom fields for detailed artist profiles
- Relational connections support linking artists to works, shows, and collections
- Built-in search and filters enable quick catalog browsing
- Granular permissions support sharing curated views by user role
- Dashboard and form components speed up internal workflows
Cons
- Advanced data automation needs custom logic that can limit speed
- Highly customized front-end design often requires more work than expected
- Large catalogs can feel slower when many filters and fields are active
- Data validation and import tooling are less structured than dedicated DAM suites
Best For
Gallery teams managing relational artist catalogs with lightweight workflow apps
Baserow
open-sourceAn open-source database app that manages artist records with views, filters, and API access for directory and CRM-style workflows.
Table relationships with custom fields for linking artists, works, and reference records
Baserow stands out as a relational database builder aimed at non-developers, with an interface for structuring artist records, relationships, and workflows. It supports custom fields, views, and table-to-table relationships that help teams connect artists to works, exhibitions, galleries, and reference sources. The system can publish curated views through permissions, while still keeping the underlying data centralized for ongoing updates.
Pros
- Flexible data modeling for artist profiles, works, and cross-references
- Strong support for relationships between tables and records
- Custom views for curating artist lists and filtered project datasets
- Role-based access controls for internal and external audiences
- Built-in import tools help migrate existing artist catalogs
Cons
- Advanced relational setups can feel complex without database experience
- Workflow automation is limited compared with specialized CRM or DAM tools
- Publishing polished public pages requires extra configuration work
- Scripting-style customization is not as deep as developer-first systems
Best For
Artists teams building structured catalogs, relationships, and shared curated views
AppSheet
no-code appsA no-code application platform that turns a structured artist dataset into a searchable app with forms and workflows.
AppSheet automations with triggers and workflow actions tied to artist data changes
AppSheet turns spreadsheet-style data into mobile and web apps for managing artist records, catalogs, and related activity. It connects artist data across tables, supports role-based views, and provides automated workflows using form logic and triggers. Strong reporting and data validation help keep inconsistent entries under control, especially when multiple staff contribute. The no-code build model reduces time-to-prototype, but complex relationships and advanced customization can become harder than traditional database software.
Pros
- Spreadsheet-driven app building makes artist record setup fast
- Cross-table relationships support linked artists, works, and exhibitions
- Form validation and workflow automation reduce inconsistent data entry
- Role-based access helps separate curators, admins, and contributors
- Instant mobile and web views keep field updates close to the source
Cons
- Highly customized UI and complex logic can feel limiting without workarounds
- Large datasets and heavy automation can slow apps at scale
- Performance tuning and debugging flows takes time for non-engineers
Best For
Small to mid-size teams building artist databases with quick mobile workflows
More related reading
Knime
data-integrationAn analytics workflow tool that can ingest artist datasets and perform data cleaning, enrichment, and matching for directory quality.
Node-based workflow automation for end-to-end data prep, matching, and enrichment
KNIME stands out for turning artist-data workflows into a visual, reusable pipeline using KNIME Analytics Platform nodes. It supports importing, cleaning, transforming, and matching heterogeneous datasets that often appear in artist databases, including spreadsheets and database connections. Data lineage, versionable workflows, and scheduled runs help keep artist records consistent across repeated refreshes. The platform is most effective when the database logic can be expressed as a workflow of transforms, joins, and enrichment steps.
Pros
- Visual workflow builder for repeatable artist data transformations
- Robust joins, filtering, and data reshaping for multi-source artist records
- Extensive nodes for enrichment, matching, and analytics
- Workflow execution can be automated with repeatable runs
Cons
- Not a dedicated artist database UI for day-to-day curation
- Workflow graph design can feel complex for non-technical users
- Data model management outside the workflow needs additional design effort
Best For
Teams building automated artist data pipelines from diverse sources
Microsoft Dataverse
enterprise-dataA structured data platform for building an artist directory as part of a CRM-style system with security, validation, and APIs.
Dataverse custom tables and relationships with built-in security and audit behavior
Microsoft Dataverse stands out for combining a relational data model with built-in business logic for artist and catalog records. It supports custom tables, relationships, and calculated fields to represent artists, artworks, events, and provenance metadata. It also integrates tightly with Power Platform for app screens, workflow automation, and role-based access control. For database-heavy collections, it offers governed storage and audit-friendly operations without building everything from scratch.
Pros
- Custom tables and relationships model artists, artworks, and catalogs precisely
- Role-based security and field-level permissions support controlled access to records
- Power Automate workflows can sync submissions, updates, and approvals end to end
Cons
- Schema design takes time to set up correctly for complex metadata
- Data import and UI configuration can require platform-specific skill
- Advanced search and faceting often need extra design beyond standard views
Best For
Teams managing structured artist and artwork metadata with workflow governance
More related reading
Salesforce
CRM-basedA CRM platform that stores artist entities using custom objects and provides search, workflows, and API-driven updates.
Custom objects with workflow rules and approvals for artist record processes
Salesforce stands out for its highly configurable CRM data model that can represent artists, contacts, releases, and engagements. Core capabilities include custom objects, relational data across records, workflow automation with approvals, and role-based dashboards for reporting. For artist database use, it supports integrations through APIs and AppExchange apps, plus data quality tools like duplicate management and enrichment. It also fits multi-department scenarios where marketing, partnerships, and operations need shared access to the same artist records.
Pros
- Custom objects and fields model complex artist entities and relationships
- Workflow automation and approval processes support booking and contracting steps
- Dashboards and reporting track artists, pipelines, and outreach outcomes
Cons
- Setup and admin configuration require Salesforce expertise for clean results
- Artist-specific views often need custom development to match specialized workflows
- Reporting complexity increases with heavily customized data models
Best For
Teams needing a configurable, permissioned artist CRM with workflow automation
Zoho Creator
low-code appA low-code form and database builder that creates artist directory apps with role-based views and integrations.
Workflow automation with Creator apps triggers tasks and record updates from form and status changes
Zoho Creator stands out for building artist databases with low-code form design that connects directly to record workflows. Core capabilities include database creation with custom fields, document attachments, and relationship links across entities like artists, exhibitions, and contacts. Built-in reporting and dashboards support gallery-style views, while automated workflows can trigger tasks and status updates when records change. The platform also supports role-based access and audit-friendly activity patterns for shared cataloging and curation.
Pros
- Low-code forms and views make artist record structures quick to design
- Relational links connect artists to events, works, and contacts
- Workflow automation updates statuses when data changes
- Roles and permissions support shared curation workflows
- Reports and dashboards provide searchable gallery and pipeline views
Cons
- Advanced UI customization can require scripting for complex layouts
- Large media-heavy artist profiles can strain performance if not optimized
- Data model changes after launch require careful migration planning
- Querying across multiple linked entities can get complex
Best For
Art teams managing linked artist profiles, exhibitions, and internal review workflows
How to Choose the Right Artist Database Software
This buyer’s guide covers how to select artist database software using tools like Airtable, Notion, Coda, Knack, Baserow, AppSheet, KNIME, Microsoft Dataverse, Salesforce, and Zoho Creator. It maps concrete capabilities such as relational linking, live views, workflow automation, and role-based sharing to real artist catalog and outreach use cases. The guide also flags common build pitfalls tied to cons seen across these platforms.
What Is Artist Database Software?
Artist database software is a system for storing artist profiles and connecting them to works, exhibitions, contacts, and events using structured records. It solves problems like keeping roster data consistent, enabling fast filtering for curated talent lists, and routing updates through approval or outreach workflows. Many teams use relational database builders such as Airtable to model artist-to-work-to-event structures with linked records. Other teams use Microsoft Dataverse to build governed, CRM-style artist catalogs with custom tables and role-based security.
Key Features to Look For
The strongest artist databases combine relational modeling, practical browsing views, and workflow automation so that curation stays accurate as records evolve.
Relational linked records across artists, works, and events
Relational linking is the foundation for representing real-world relationships like an artist’s works appearing in specific exhibitions. Airtable is built around Linked Records for artist-to-work-to-event structures, and Knack uses relational links to connect artists to works, shows, and collections.
Multiple live views for the same dataset
Multiple live views reduce duplicate data entry by letting teams browse the same artist dataset as grids, boards, calendars, and galleries. Notion supports multiple synced views for the same dataset, and Airtable provides flexible views including grid, calendar, kanban, and gallery layouts.
Workflow automation that syncs statuses and triggers actions
Automation keeps submissions, review stages, and tasks aligned when fields change inside the artist database. Airtable automates routing updates between collaborators and keeps review statuses synchronized, and AppSheet uses form logic triggers tied to artist data changes.
Role-based access controls for internal curation and external sharing
Role-based access helps separate curators, contributors, and viewers so sensitive artist data does not leak into broad audiences. Knack includes granular permissions for sharing curated views by user role, and Microsoft Dataverse provides role-based security and field-level permissions for controlled access.
Curated search, filters, and dashboard-style browsing
Fast search and filter-driven dashboards support day-to-day curation like finding artists by discipline, location, or availability. Knack provides built-in search and filters with dashboard components, and Salesforce offers dashboards and reporting to track artists, pipelines, and outreach outcomes.
Data transformation pipelines for enrichment and deduping
Some teams need repeatable data cleaning and matching before loading artist records into a directory. KNIME provides node-based workflow automation with robust joins, enrichment nodes, scheduled runs, and matching for heterogeneous artist datasets.
How to Choose the Right Artist Database Software
Choosing the right tool comes down to mapping relational depth, view needs, workflow complexity, and governance requirements to the strengths of specific platforms.
Model the relationships that define the roster
Start by listing the required entities and links, such as artist, work, exhibition, gallery, and contacts. Airtable excels when the goal is artist-to-work-to-event structures using Linked Records, and Baserow supports table-to-table relationships that link artists to works, exhibitions, and reference sources.
Pick view types that match daily curation work
Choose the browsing experience that curators use most, such as gallery cards for visual review, kanban for stages, or calendars for events. Airtable offers gallery layouts plus grids, calendars, and kanban boards, while Notion emphasizes relational tables with multiple synced views that also act as notes and documentation.
Design workflow automation around approvals and task routing
If artist updates require review stages, choose a tool with automation that can update fields and trigger actions across steps. Airtable syncs review statuses across multi-step workflows, Salesforce supports workflow automation with approvals for booking and contracting steps, and Zoho Creator triggers tasks and record status updates from form and status changes.
Confirm sharing and permissions fit internal and external audiences
For curated publishing, evaluate whether permissions can restrict views by role and whether access can be field-level where needed. Knack provides granular permissions for sharing curated views by user role, Microsoft Dataverse supports field-level permissions for controlled access, and Baserow publishes curated views through permissions.
Decide where data quality and enrichment should live
If artist data arrives from multiple sources and requires enrichment, matching, and repeatable transforms, plan for a dedicated pipeline. KNIME is designed for node-based data prep with scheduled runs, while databases like Airtable, AppSheet, and Zoho Creator focus on day-to-day artist directory management and workflow operations.
Who Needs Artist Database Software?
Artist database software fits teams that need structured artist records, fast filtering for curation, and consistent updates across related entities.
Creative teams managing relational artist catalogs with lightweight automation
Airtable is a strong fit because it converts relational artist data into flexible spreadsheet-like apps with linked records, attachments, and automations that keep review statuses synchronized. Coda also fits this pattern using relational tables with interactive dashboard layouts built from tables, filters, and formulas.
Artists and small teams managing linked catalogs, references, and outreach workflows
Notion supports relational databases with linked records and multiple live views that also function as notes, project trackers, and research documentation. AppSheet fits teams that want quick mobile and web views with form validation and workflow automation tied to artist data changes.
Gallery teams maintaining curated catalogs and internal directory workflows
Knack fits because it provides artist-focused data modeling with custom fields, built-in search and filters, dashboard components, and role-based access to share curated views by user role. Knack also emphasizes relational links across artists, works, exhibitions, and collections to support curated browsing.
Organizations that need governed, CRM-style artist metadata with security and audit behavior
Microsoft Dataverse is designed for custom tables and relationships with built-in security and audit-friendly behavior, and it integrates tightly with Power Automate for end-to-end approval and sync workflows. Salesforce fits teams that need a configurable, permissioned artist CRM with custom objects, workflow rules with approvals, and dashboards for reporting across departments.
Common Mistakes to Avoid
Common failures come from overbuilding relational logic, underestimating permission setup work, and trying to use analytics pipelines as the primary curation interface.
Overcomplicating relational logic inside a database UI
Complex multi-table logic can become heavy to manage in Airtable when relational structures grow beyond simple curation needs. Formula-heavy builds in Coda can also become hard to maintain, so derived fields should be planned carefully.
Skipping a deliberate permissions plan for curated sharing
Sharing setups in Airtable require careful configuration for large teams, and complex sharing rules can slow rollout without a clear role model. Knack also needs deliberate role-based access decisions so curated pages match each audience’s responsibilities.
Expecting advanced reporting and analytics to come “out of the box”
Notion’s advanced reporting and analytics for large datasets remains limited, so deep analytics may need supplemental tooling. KNIME is built for enrichment and matching pipelines, so analytics workflows belong there when accuracy and repeatable transforms matter.
Building a day-to-day artist directory in a tool that is not designed for curation
KNIME is optimized for visual workflow automation for data cleaning, enrichment, and matching, not a dedicated artist database UI for day-to-day curation. Keep KNIME for pipeline steps and use platforms like Airtable, Notion, or Knack for curator-facing directories.
How We Selected and Ranked These Tools
We evaluated every tool on three sub-dimensions. Features carry a weight of 0.4, ease of use carries a weight of 0.3, and value carries a weight of 0.3. The overall rating is calculated as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Airtable separated from lower-ranked tools because its linked records approach and multi-view browsing directly strengthen relational artist-to-work-to-event modeling while also pairing with automation that keeps workflow statuses synchronized.
Frequently Asked Questions About Artist Database Software
Which tool best models relational links between artists, works, and events without requiring database engineering?
Airtable fits relational artist cataloging because Linked Records connect talent to works, creatives, and events while keeping the UI spreadsheet-like. Knack also models artist-to-work-to-exhibition relationships with custom fields and record-based dashboards for curated directories.
Which platform is strongest for building an interactive artist roster that teams can filter by discipline and availability?
Coda supports interactive rosters through relational tables, live formulas, and filterable views that browse a roster by discipline, location, and status. Airtable can do similar filtering and sorting with views, but Coda’s dashboard-style layout makes multi-criteria browsing feel more app-like.
What option handles artist records and internal notes in the same system?
Notion combines artist databases with notes, research links, and project tracking in one workspace using relational database views. Zoho Creator also pairs record fields with document attachments and task workflows, but Notion’s strength is linking pages and views around ongoing research.
Which tool is best for mobile or field workflows that update artist data via forms and triggers?
AppSheet turns spreadsheet data into web and mobile app workflows that use form logic and triggers to update artist records. Airtable supports automations and review routing, but AppSheet is purpose-built for data capture workflows where staff need quick form-based updates.
Which platform is most suitable for building curated read-only views for stakeholders while keeping a centralized dataset?
Baserow publishes curated views through permissions while maintaining centralized relational data for ongoing updates. Knack also supports role-based access to share selected pages, but Baserow’s publishable views map tightly to catalog and reference distribution.
Which option is designed for heavy data preparation and automated enrichment across messy artist datasets?
KNIME excels when artist databases must ingest multiple source formats and then clean, transform, and match entities with a node-based pipeline. This approach suits deduplication and enrichment steps where Airtable or Notion are used mainly after the data is already standardized.
Which system fits compliance-friendly governance for structured artist and artwork metadata?
Microsoft Dataverse supports governed storage and audit-friendly behavior with custom tables, relationships, and calculated fields for provenance metadata. Salesforce can also enforce governance through workflow approvals, but Dataverse is typically chosen when the data model itself needs strict relational structure and built-in security patterns.
Which tool works best when artist records must support approval workflows across departments?
Salesforce supports approvals, custom objects, and role-based dashboards that align marketing, partnerships, and operations around shared artist data. Zoho Creator can trigger tasks and status updates from record changes, but Salesforce’s workflow orchestration is stronger for multi-team approval processes.
What is the most common problem when building an artist database, and which tools address it directly?
Duplicate and inconsistent records are common issues when multiple staff update artist profiles, and AppSheet tackles this with data validation and form logic. Salesforce provides duplicate management and enrichment controls, while KNIME helps before entry by running repeatable pipelines for matching and standardization.
Conclusion
After evaluating 10 art design, Airtable 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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