
GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 10 Best Database Program Software of 2026
Compare database program software options such as Ninox, Baserow, and Caspio, covering key use cases and tradeoffs for shortlist decisions.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Ninox is the best choice for SMB teams building app-like business databases with visual workflow automation, since record-level formulas and templates update behavior without custom server logic, whereas Baserow fits teams that need an API-first shared record store, since its REST endpoints mirror the table schema as integration contracts.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Ninox
Record-level formulas and page templates tied to workflow actions, enabling app-like behavior without custom server logic.
Best for: Fits when teams need a business app database with visual workflow automation and controlled access.
Baserow
Editor pickREST API endpoints mirror Baserow’s table schema objects, so UI-built models become integration contracts.
Best for: Fits when teams need shared structured records with an API for integrations.
Caspio
Editor pickBuilt-in automation tied to record events keeps UI workflows and external sync in step.
Best for: Fits when teams need governed CRUD web apps with API integration and rapid iteration.
Comparison Table
Ninox
SMBLow-code database software for teams that need custom tables, forms, dashboards, and workflows.
Record-level formulas and page templates tied to workflow actions, enabling app-like behavior without custom server logic.
Ninox combines a visual low-code database builder with an application layer for form-driven workflows and interactive record views. It supports a relational data model with calculated fields, page templates, and workflow actions that update records without writing SQL.
Ninox exports data to common formats and offers connectors for moving data between systems, which reduces the need for custom middleware. Administration focuses on workspace control, role-based access to areas and actions, and activity visibility around changes.
- +Visual modeling for database screens, forms, and record relationships
- +Workflow actions and calculated fields update records without server code
- +Role-based permissions for views, apps, and workflow actions
- +Built-in sharing and export tools for operational handoffs
- –Server-side query depth depends on Ninox formulas rather than SQL control
- –External integration still needs configuration discipline for mapping and sync
- –Large-scale reporting needs careful design to avoid slow computed views
- –Advanced administration options for fine-grained audit trails are limited
Individuals and small teams
Track tasks, related records, calculations
Tailored structured database
Sales and customer teams
Manage leads, accounts, and follow-ups
Operational customer database
Show 2 more scenarios
Research and administrative teams
Collect structured research entries
Configured research workspace
Build custom databases with forms, calculated fields, and related records for research workflows.
Field and remote teams
Capture inspection checklists offline
Consistent offline capture
Use mobile data capture for inspections and inventory counts, then sync updates when online.
Best for: Fits when teams need a business app database with visual workflow automation and controlled access.
Baserow
API-firstOpen source online database software with tables, views, forms, and API access.
REST API endpoints mirror Baserow’s table schema objects, so UI-built models become integration contracts.
Baserow models data with customizable tables, field types, and relationships such as one-to-one, one-to-many, and many-to-many, which makes it easier to represent real application entities than a plain table grid. The API exposes the same schema objects that the UI configures, so integrations can create and update records without duplicating a second schema definition. Webhooks provide a direct automation hook for create and update events, which reduces the need to poll for changes. Views such as filters, sorts, and groupings help operational users review subsets without changing the underlying schema.
The main tradeoff is query depth, since Baserow is optimized for record retrieval and view filtering rather than complex analytics queries. A common fit is a workflow app that needs shared data editing plus an integration surface that can write records from external systems. Another situation is a team that wants structured relationships and consistent field validation while still allowing non-technical users to adjust tables and views.
- +UI schema editing stays aligned with the REST API data contracts
- +Webhook event triggers support write-side automation without polling
- +Relationships model multi-entity workflows with explicit many-to-many links
- +Views let users slice data while keeping the same stored structure
- –Advanced query requirements can require application-side filtering
- –Fine-grained permissions beyond workspace roles may require careful design
RevOps ops teams
Manage pipeline objects with integrations
Fewer manual handoffs
Customer support leaders
Track cases linked to customers
More consistent case routing
Show 2 more scenarios
Product ops analysts
Maintain experiments and cohorts
Cleaner operational data flow
Analysts define fields and relationships, then sync selected records to internal tools.
Agencies and consultants
Run client-specific data workspaces
Lower coordination overhead
Shared tables and views support collaboration while API access drives client automations.
Best for: Fits when teams need shared structured records with an API for integrations.
Caspio
SMBNo-code platform for database applications, online forms, reports, and customer portals.
Built-in automation tied to record events keeps UI workflows and external sync in step.
Caspio fits teams that want database-backed web apps with direct record interaction, search, and form workflows without building a full custom web stack. The data layer is configured through Caspio’s modeler, then connected to page components so inserts, updates, and deletes stay consistent across the UI. Integration depth is driven by its API endpoints, connector options, and automation triggers that can push changes to other apps.
A key tradeoff is that advanced database-specific features and query tuning typically require working within Caspio’s abstraction rather than managing PostgreSQL-style extensions or SQL-level optimizations directly. Caspio works well for internal tools like customer portals and back-office intake screens where change frequency is high and governance needs are centered on access control and auditability.
- +Visual app builder ties pages directly to database records
- +API enables external systems to read and write app data
- +Role-based access controls support multi-user governance
- +Automation triggers reduce manual coordination between systems
- –Database-level query tuning is limited by Caspio’s abstraction
- –Complex workflows can require careful configuration to avoid logic sprawl
Operations teams
Intake apps with approval stages
Faster approvals with fewer handoffs
Customer experience teams
Customer portal for case updates
Lower ticket churn and rework
Show 2 more scenarios
Systems integration teams
External sync for master data
Consistent records across apps
Integration teams use the API and automation events to keep external systems updated.
IT governance teams
Role-based access with audit visibility
Clear accountability for edits
Governance teams manage permissions and track key user actions tied to data changes.
Best for: Fits when teams need governed CRUD web apps with API integration and rapid iteration.
LibreOffice Base
desktopFree desktop database program for forms, queries, reports, and connections to external databases.
Visual form and report builder with macro automation for desktop database apps.
LibreOffice Base turns a spreadsheet-friendly office workflow into a GUI-driven database front end using its built-in form and report tools. It can connect to external relational databases through JDBC or ODBC drivers, and it can manage local database files in its own embedded setup.
- +Form and report designer supports quick CRUD-style internal app screens
- +JDBC and ODBC connectivity lets existing PostgreSQL or MySQL databases remain the data store
- +Integrated queries and macro automation cover many light workflow needs
- +Uses the LibreOffice extension ecosystem for add-on-driven customization
- –Row-level security and RBAC are not a built-in server-grade capability
- –Concurrency and performance tuning are limited for multi-user write-heavy workloads
- –Advanced SQL patterns can feel constrained versus building SQL in a dedicated client
- –Version upgrades of the Base file can require careful compatibility testing
Small teams and practitioners
Prototype a desktop database workflow
Working desktop prototype
Power users and office developers
Build a desktop interface with macros
Tailored interface
Show 2 more scenarios
Teams with existing relational databases
Present shared data through forms
Desktop data access
Connect to an external relational database and serve desktop forms and reports over it.
Small office operations teams
Run inventory forms and query views
Searchable inventory records
Maintain inventory records using desktop forms and query-based views for search and reporting.
Best for: Fits when small teams need local forms and reports that connect to a real database server.
Kintone
SMBWork app platform for building database-backed business apps, lists, forms, and workflows.
Event-driven workflow rules that coordinate record lifecycle steps across apps with configurable triggers.
Kintone’s core data model centers on application-specific records defined by fields, including text, number, date, and selection types, plus relational linkage through record references between apps. Each app can define list views, searchable fields, and dashboard-style reporting views that read the underlying records. Automation is built around workflow rules that react to events such as record creation, status changes, and field edits.
- +Record-centric apps with field types, references, and curated views
- +Workflow automation for status changes and event-driven tasks
- +API and webhooks for two-way integration with external systems
- +Granular RBAC controls on apps, views, and operations
- –Limited support for complex query patterns compared with SQL databases
- –Reporting depends on predefined views rather than free-form analytics
- –Cross-app logic can become harder to maintain at high workflow volume
- –Extensibility often requires custom configuration and integration glue
Customer operations teams
Manage ticket-like intake and approvals
Faster handoffs and consistent tracking
Revenue operations teams
Run lead and account data pipelines
Cleaner CRM handoffs
Show 2 more scenarios
IT operations teams
Track change requests and assets
Auditable process flow
App records link to related objects and trigger approvals and escalation steps on updates.
Partner management teams
Coordinate partner onboarding tasks
More consistent onboarding
Webhooks and workflows keep partner tasks aligned with milestones and document status.
Best for: Fits when teams need controlled record workflows plus API integration, not deep SQL reporting.
Navicat
enterpriseDatabase administration and development software for MySQL, PostgreSQL, SQL Server, and other engines.
Schema compare and synchronization with object-level selection for controlled cross-environment updates.
Navicat connects to relational databases like PostgreSQL, MySQL, and SQL Server so users can design queries, manage schemas, and run admin tasks from a single desktop client. It includes visual query building, ER diagram viewing, and schema comparison and synchronization for targeted updates.
- +Visual query builder reduces SQL editing for common select patterns
- +Schema compare and sync supports controlled updates across environments
- +Multi-format import and export workflows for moving data between systems
- +Scheduled tasks help run recurring maintenance and extraction jobs
- –Automation depth is limited for multi-step pipelines needing heavy custom logic
- –Cross-database governance like centralized RBAC and audit log management is limited
Database administrators and teams
Admin multiple engines from one client
Consolidated admin workstation
Developers and infrastructure teams
Access private databases via SSH tunneling
Local access to private DBs
Show 2 more scenarios
Database administrators and data engineers
Migrate data with controlled mappings
More controlled migration
Transfer data between environments using transfer mappings, previews, and row-level controls.
Database administrators and operations teams
Schedule recurring exports and maintenance
Consistent recurring workflows
Set up scheduled tasks for repeatable queries and export routines using scripting support for maintenance.
Best for: Fits when teams need a desktop client for schema comparison and repeatable admin tasks across PostgreSQL, MySQL, and SQL Server.
Coda
SMBDocument and table platform that supports relational data structures, views, forms, and automation.
Page-centric formulas that compute across linked tables while staying editable in a single document surface.
Coda is a doc-first database built around tables, but it adds formulas, views, and workflow automation inside the same interface. Data stays usable because Coda lets pages contain structured tables, linked records, and computed fields that update as inputs change.
- +Tables, linked records, and formulas work together inside one page model
- +Built-in automation can run workflows without exporting data
- +API supports programmatic reads and writes for external system integration
- +Views and filters keep large tables workable for different teams
- –Query depth is limited versus a relational database query engine
- –Advanced governance depends on careful sharing and permission setup
- –High-volume workloads can hit throughput limits compared with server databases
- –Schema changes can be more disruptive than migrations in SQL systems
Freelancers and individual users
Organize lightweight personal databases
Flexible personal workspace
Operations and service teams
Route requests through approval states
Repeatable request process
Show 2 more scenarios
Product marketing and campaign teams
Track launch checklists and reporting
Launch status visibility
Coordinate launch tasks, owners, and assets in linked pages that update structured status and progress.
Content, marketing, and editorial teams
Run living briefs with structured review
Structured feedback tracking
Draft briefs with linked structured records for ownership and review status alongside the writing.
Best for: Fits when teams need structured data with formula-driven workflows and lighter integration with external systems.
TablePlus
desktopNative database client for querying, editing, and managing relational databases.
Schema and query workflows stay tightly linked in the editor, reducing clicks during table exploration and query authoring.
TablePlus is a database client focused on fast, multi-database workflows with a highly interactive query editor. It supports common connection methods, schema browsing, and query result grids with useful export and formatting tools for day-to-day SQL work.
- +Interactive SQL editor with schema-aware browsing and quick query iteration
- +Cross-database connection management with consistent query execution workflow
- +Result grid tooling supports practical export and readable formatting
- +Keeps database object navigation and SQL work in one workspace
- –Less suited for server-side governance tasks like policy enforcement
- –Advanced automation needs fall back to external scripts and tooling
- –Large schema navigation can feel slower than purpose-built admin consoles
- –Complex multi-connection troubleshooting depends on manual inspection
Developers and database administrators
Work with private databases using SSH
Local access to private DBs
Analysts and developers
Orient on unfamiliar schemas
Quicker schema orientation
Show 2 more scenarios
Database administrators and developers
Correct small issues in editable grids
Small fixes without tool switching
Inspect live rows and apply targeted corrections directly in an editable table result grid.
Data engineers and developers
Troubleshoot pipeline SQL against staging
Focused SQL investigation
Run exploratory queries on staging data to investigate transformations and stored procedure behavior.
Best for: Fits when analysts and developers need one client for PostgreSQL, MySQL, and SQL Server work.
Knack
SMBOnline database software for custom apps, customer portals, directories, and internal tools.
Workflow-driven, record-level automation tied directly to the app’s form and list UI reduces custom backend code.
Knack is a database program that centers on building web apps around record data, lists, and forms without building a full backend stack. It provides a graphical schema builder with views, workflows, and user access configuration for common CRUD and approval patterns.
- +Graphical schema and UI builder turns record models into functional apps quickly
- +Role-based access settings map to lists, forms, and record-level behavior
- +API plus webhooks support bidirectional integrations with external systems
- +Workflow automations handle common triggers like approvals and field updates
- –Query flexibility is limited compared with writing SQL for complex analytics
- –Data modeling constraints can make deep relational use cases harder to express
- –Workflow logic gets complex for multi-step branching without careful design
- –Admin governance for complex enterprise controls is less granular than database-native tooling
Membership organizations administrators
Maintain member profiles and segments
Reusable searches and reports
Researchers and program analysts
Collect research records through forms
Manageable research dataset
Show 2 more scenarios
Operations and department administrators
Manage requests, projects, and cases
Shared structured operations system
Build shared operational applications using record data, forms, workflows, and operational status tracking.
Sports organizations event administrators
Run registrations, schedules, and results
Configurable event administration
Store event and participant records, then use the same record model to manage scheduling and results.
Best for: Fits when teams need fast CRUD app delivery on a shared record model with automation and API integrations.
DBeaver
enterpriseUniversal database management tool for SQL development, administration, and data browsing.
Database-to-database comparison that generates change scripts from two live connections for PostgreSQL, MySQL, and SQL Server.
DBeaver is a desktop database client that distinguishes itself through broad driver support and a shared SQL and admin workspace across many engines. It supports JDBC and ODBC connectivity, schema browsing, query editing with explain plans when the server supports it, and cross-database data export and import.
- +Single SQL editor workflow across PostgreSQL, MySQL, and SQL Server connections
- +Database navigator supports schema introspection for many engines via drivers
- +Built-in data import and export tools handle common file formats and table loads
- +Database diff and migration-style scripting for controlled changes
- –Driver coverage varies by engine and sometimes limits advanced UI features
- –Large schema browsing can feel slow without connection and cache tuning
Database developers and mixed teams
Develop SQL across multiple engines
Consistent cross-database querying
Database administrators and technical ops
Perform routine administration from one client
Centralized desktop admin access
Show 2 more scenarios
Database developers and application engineers
Create and debug stored procedures
Shared procedural code workflow
Write and inspect stored procedure code using shared editor workflows where the driver supports it.
Analysts and database administrators
Load CSV data into databases
Simplified data loading
Import CSV files and transfer data between supported environments using transfer tools.
Best for: Fits when teams want one workstation tool for consistent SQL, schema navigation, and controlled change scripts across major databases.
Conclusion
After evaluating 10 database program software, Ninox 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 Database Program Software
Database program software packages storage, record modeling, and UI or workflow behavior so teams can build data-driven apps without stitching every screen and integration by hand. This guide covers Caspio, Kintone, Baserow, Ninox, LibreOffice Base, Knack, TablePlus, DBeaver, Navicat, and Coda using their documented build patterns and automation behaviors.
Caspio and Knack focus on governed CRUD app delivery with workflow automation tied to record lifecycle events. Kintone emphasizes event-driven workflow rules across apps while TablePlus, DBeaver, and Navicat emphasize client-side SQL authoring and cross-environment database administration workflows.
Database Program Software that combines record storage, app UI workflows, and automation for data operations
Database program software is the tooling layer that connects a defined data model to application screens and record operations, then adds automation hooks for how records move through those operations. Caspio and Knack bind UI workflows directly to database records so app logic can react to record events and keep external reads and writes aligned through API access.
Kintone and Baserow lean into event-driven behavior and contract-first integrations, with Kintone coordinating record lifecycle steps using configurable workflow triggers and Baserow exposing REST API endpoints that mirror table schema objects. Ninox and LibreOffice Base also integrate forms and workflow actions, but Ninox ties page templates and record-level formulas to workflow actions while LibreOffice Base centers on desktop form and report building with connectivity to an external database server.
Database Program Software evaluation criteria that affect delivery and control
Database program software should tie record storage to UI workflows and automation so data operations stay consistent across screens and integrations. These criteria separate tools that keep logic near record events from tools that focus on client-side query authoring and schema administration.
Record-event automation with externally readable data
Caspio binds UI workflows directly to record events and uses API access so external systems can read and write app data in step. Knack delivers workflow-driven, record-level automation tied to form and list behavior with an API for app integrations.
Event-driven workflow rules across record lifecycle steps
Kintone coordinates record lifecycle steps with configurable workflow triggers across apps, which fits status and lifecycle automation. Baserow supports write-side automation through webhook event triggers that fire on table changes.
Contract-first REST API endpoints aligned to the UI schema
Baserow exposes REST API endpoints that mirror table schema objects, so the UI schema becomes the integration contract. Caspio pairs visual app building with an API that lets external systems perform CRUD aligned to database records.
Workflow formulas and page templates that update records without server code
Ninox updates records via page templates and record-level formulas tied to workflow actions. LibreOffice Base provides a desktop form and report builder with macro automation for local database apps that connect to an external database server via JDBC and ODBC.
Client-side SQL authoring workflow across PostgreSQL, MySQL, and SQL Server
TablePlus focuses on an interactive SQL editor tied to schema-aware browsing for consistent query iteration across PostgreSQL, MySQL, and SQL Server. DBeaver adds a database-to-database comparison flow that generates change scripts from two live connections for those same engines.
Admin-oriented schema comparison and controlled environment synchronization
Navicat provides schema compare and synchronization with object-level selection so teams can run repeatable cross-environment updates. DBeaver emphasizes schema introspection via drivers for many engines and supports change-script generation from live connections.
Choose by integration contract depth, workflow coupling, and where logic runs
The best choice depends on whether record logic must run inside the database program tool at the moment records change or whether SQL and admin tasks will be handled in a workstation client. Different philosophies also change how governance and automation failures surface, since some tools reduce custom backend code while others require external scripts.
Decide whether record lifecycle automation must be built into the app layer
If workflows must react to record lifecycle changes and keep external reads and writes aligned, Caspio and Knack are the most direct fits. Caspio ties UI workflows to record events while Knack ties automation directly to form and list UI behavior.
Pick event orchestration across apps or contract-first REST integration
If the requirement is coordinated status changes across apps using configurable workflow triggers, choose Kintone. If the requirement is an API surface that mirrors table schema objects so the schema becomes an integration contract, choose Baserow.
Choose formula-driven record updates when server code must be avoided
When record-level formulas and page templates tied to workflow actions must update data without writing custom server logic, Ninox fits. When local desktop CRUD screens and reports must connect to a real database server through JDBC or ODBC, LibreOffice Base fits better than web app builders.
Use a client SQL and schema workflow tool when admin tasks dominate
If analysts and developers need one client for consistent SQL editor workflow across PostgreSQL, MySQL, and SQL Server, choose TablePlus. If teams need database-to-database comparison that generates change scripts from two live connections, choose DBeaver or Navicat.
Separate schema sync needs from governance needs
If schema synchronization with object-level selection across environments is the primary task, Navicat centers that workflow. If the requirement includes deeper governance like centralized RBAC and audit log management, the desktop clients in this list are the riskier bet compared with record-centric app platforms.
Who Database Program Software fits best
Different tools in this category are optimized for different execution places, either the app tool layer or a SQL client workstation. The audience fit changes based on whether record operations must drive automation or whether teams mainly need query iteration and schema administration.
Teams building governed CRUD web apps with external system integration
Caspio and Knack support UI workflows tied to record events or form and list behavior, so record operations can drive consistent automation while APIs support external reads and writes.
Operations teams that want lifecycle-driven automation across multiple apps
Kintone’s configurable triggers coordinate record lifecycle steps across apps, which supports status transitions and event-driven tasks without writing backend orchestration code.
Integration-heavy teams that want the UI schema to define the API contract
Baserow aligns REST API endpoints to table schema objects and adds webhook triggers, which supports structured record sharing and write-side automation without polling.
Analysts and developers who need a single workstation for SQL and schema navigation across engines
TablePlus and DBeaver offer an interactive SQL editor workflow across PostgreSQL, MySQL, and SQL Server, while DBeaver adds change-script generation using two live connections.
Small teams that need local forms and reports connected to an existing database server
LibreOffice Base centers desktop form and report building with macro automation and uses JDBC and ODBC connectivity to keep the real data store on an external server.
Common mistakes when buying Database Program Software
Many failures come from choosing a workflow-coupled app tool for use cases that require deep SQL control or server-grade governance. Other failures come from treating a SQL client as an automation platform when advanced workflow logic must stay tied to record events.
Assuming the app abstraction allows deep query tuning and complex analytics
Caspio limits database-level query tuning because of the abstraction, and Kintone limits complex query patterns compared with SQL databases. For complex analytics and free-form reporting, use a SQL-focused client like TablePlus or DBeaver for query authoring.
Building complex reporting that depends on predefined views instead of query authoring
Kintone reporting depends on predefined views rather than free-form analytics, which can slow iteration when requirements change. Choose workstation SQL workflows in TablePlus or DBeaver when reporting demands flexible query authoring.
Overlooking permissions granularity and governance controls during automation design
Baserow can require careful design for fine-grained permissions beyond workspace roles, which can cause automation gaps. LibreOffice Base does not provide row-level security and RBAC as built-in server-grade capabilities, which can break multi-user write-heavy workflows.
Treating schema compare tools as full workflow automation systems
Navicat and DBeaver support schema compare, sync, and change-script flows, but they do not provide deep workflow orchestration like Caspio or Knack. If record lifecycle coordination matters, choose a record-centric platform that ties automation to record events.
Choosing formula-driven record updates for cases that require server-side query control
Ninox formula-driven server-side query depth depends on Ninox formulas rather than SQL control, which can constrain advanced query workloads. When teams need SQL control, TablePlus and DBeaver provide a more direct query authoring workflow.
How We Selected and Ranked These Tools
We evaluated Caspio, Kintone, Baserow, Ninox, LibreOffice Base, Knack, TablePlus, DBeaver, Navicat, and Coda on features, ease, and value with features weighted at 40% and ease and value weighted at 30% each. Caspio led the ranking because built-in automation tied to record events keeps UI workflows and external sync in step through its API, which directly reduces integration drift during record changes.
Knack followed with workflow-driven record-level automation tied to its form and list UI, and Kintone scored strongly on configurable workflow triggers that coordinate record lifecycle steps across apps. TablePlus, DBeaver, and Navicat were scored primarily on how their editor or admin workflows support consistent SQL authoring and schema comparison across PostgreSQL, MySQL, and SQL Server.
Frequently Asked Questions About Database Program Software
How do Caspio and Knack handle record-level automation tied to UI workflows?
Which tool is best for building a REST API-first data layer on top of a spreadsheet-like editor?
How does DBeaver support cross-database execution workflows across PostgreSQL, MySQL, and SQL Server?
What changes when using TablePlus instead of a full administration workspace for PostgreSQL, MySQL, and SQL Server work?
When does a desktop client like Navicat or TablePlus fit better than a web app database builder?
How do Ninox and Kintone differ in workflow mechanics for approvals and record lifecycle actions?
What breaks if administrators need deeper security governance than record-level permissions?
How do integrations and API surfaces differ between Coda and Caspio for syncing external systems?
What is the main tradeoff between using a database client versus building an app database for data migration workflows?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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