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Make (Integromat) vs Tray.io

A detailed comparison of Make (Integromat) and Tray.io. Find out which AI Operations solution is right for your team.

πŸ“ŒKey Takeaways

  • 1Make (Integromat) vs Tray.io: Comparing 6 criteria.
  • 2Make (Integromat) wins 6 categories, Tray.io wins 0, with 0 ties.
  • 3Make (Integromat): 4.3/5 rating. Tray.io: 4.4/5 rating.
  • 4Overall recommendation: Make (Integromat) edges ahead in this comparison.
Option A

Make (Integromat)

β˜…4.3

Visual automation platform with AI agents, 2,000+ app integrations, and advanced workflow logic for complex automations

6 wins
View full review β†’
Option B

Tray.io

β˜…4.4

Universal automation cloud with AI agents, advanced workflow building, and enterprise-grade integration capabilities

0 wins
View full review β†’

6

Make (Integromat) wins

0

Ties

0

Tray.io wins

Feature Comparison

CriteriaMake (Integromat)Tray.ioWinner
Workflow Complexity43Make (Integromat)
Integrations43Make (Integromat)
Error Handling54Make (Integromat)
Scalability54Make (Integromat)
Monitoring54Make (Integromat)
Ease of Use54Make (Integromat)

Detailed Analysis

Workflow Complexity

Make (Integromat)

Make (Integromat)

Make (Integromat)'s workflow complexity capabilities

Tray.io

Tray.io's workflow complexity capabilities

Comparing workflow complexity between Make (Integromat) and Tray.io.

Integrations

Make (Integromat)

Make (Integromat)

Make (Integromat)'s integrations capabilities

Tray.io

Tray.io's integrations capabilities

Comparing integrations between Make (Integromat) and Tray.io.

Error Handling

Make (Integromat)

Make (Integromat)

Make (Integromat)'s error handling capabilities

Tray.io

Tray.io's error handling capabilities

Comparing error handling between Make (Integromat) and Tray.io.

Scalability

Make (Integromat)

Make (Integromat)

Make (Integromat)'s scalability capabilities

Tray.io

Tray.io's scalability capabilities

Comparing scalability between Make (Integromat) and Tray.io.

Monitoring

Make (Integromat)

Make (Integromat)

Make (Integromat)'s monitoring capabilities

Tray.io

Tray.io's monitoring capabilities

Comparing monitoring between Make (Integromat) and Tray.io.

Ease of Use

Make (Integromat)

Make (Integromat)

Make (Integromat)'s ease of use capabilities

Tray.io

Tray.io's ease of use capabilities

Comparing ease of use between Make (Integromat) and Tray.io.

Feature-by-Feature Breakdown

Visual Scenario Builder

Tray.io

Make (Integromat)

Make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecting them with data flow lines. Each module represents a specific action within an applicationβ€”such as creating a record, sending an email, or fetching dataβ€”and users configure these modules through intuitive forms rather than code. The visual approach makes complex workflows comprehensible at a glance, with color-coded modules, clear data flow indicators, and the ability to zoom in on specific sections or view the entire automation architecture. Users can build branching logic with routers, handle errors gracefully with dedicated error handlers, and iterate over data sets using built-in array functions. Enables non-technical users to build sophisticated automations that would traditionally require developer resources, reducing automation development time by up to 90%.

βœ“ Enables non-technical users to build sophisticated automations that would traditionally require developer resources, reducing automation development time by up to 90%

Tray.io

Tray.io's visual workflow builder provides an intuitive drag-and-drop canvas where users design complex automation workflows without writing code. The interface presents a clear visual representation of process flows, with each step displayed as a configurable node that can be connected to create sophisticated multi-branch automations. Users can implement conditional logic, loops, error handling, and parallel processing paths all through visual configuration. The builder supports real-time testing and debugging, allowing users to execute workflows step-by-step and inspect data transformations at each stage. This approach dramatically reduces the time required to build and deploy automations while making complex processes accessible to business users who lack programming expertise. Enables both technical and non-technical users to build enterprise-grade automations in hours instead of weeks, democratizing automation across the organization.

βœ“ Enables both technical and non-technical users to build enterprise-grade automations in hours instead of weeks, democratizing automation across the organization

Both Make (Integromat) and Tray.io offer Visual Scenario Builder. Make (Integromat)'s approach focuses on make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecting them with data flow lines., while Tray.io emphasizes tray.. Choose based on which implementation better fits your workflow.

1,500+ App Integrations

Tray.io

Make (Integromat)

Make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanning every major category of business software. Each integration includes multiple modules covering the full range of actions available in that application's API, from basic CRUD operations to advanced functionality. The integrations are continuously updated to reflect API changes and new features, ensuring reliability and access to the latest capabilities. For applications without native integrations, Make provides universal HTTP modules, webhook triggers, and GraphQL support that can connect to virtually any web service with an API. Eliminates the need for custom API development for the vast majority of integration needs, allowing teams to connect their entire tech stack within a single platform.

βœ“ Eliminates the need for custom API development for the vast majority of integration needs, allowing teams to connect their entire tech stack within a single platform

Tray.io

The platform provides access to over 1,000 pre-built connectors that integrate with virtually every major business application, from CRM systems like Salesforce and HubSpot to data warehouses like Snowflake and BigQuery, marketing platforms, ERP systems, communication tools, and custom APIs. Each connector is maintained and updated by Tray.io, ensuring compatibility as vendor APIs evolve. The connectors expose full API functionality through the visual interface, allowing users to perform any operation supported by the underlying application without understanding API specifications. For applications without pre-built connectors, the Universal Connector enables integration with any REST or GraphQL API through configuration rather than code. Eliminates integration development time and maintenance burden while ensuring your automation platform can connect to any application in your technology stack.

βœ“ Eliminates integration development time and maintenance burden while ensuring your automation platform can connect to any application in your technology stack

Both Make (Integromat) and Tray.io offer 1,500+ App Integrations. Make (Integromat)'s approach focuses on make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanning every major category of business software., while Tray.io emphasizes platform provides access to over 1,000 pre-built connectors that integrate with virtually every major business application, from crm systems like salesforce and hubspot to data warehouses like snowflake and bigquery, marketing platforms, erp systems, communication tools, and custom apis.. Choose based on which implementation better fits your workflow.

Advanced Data Transformation

Tray.io

Make (Integromat)

Make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between applications. The platform provides over 100 built-in functions covering text manipulation, mathematical operations, date/time formatting, array processing, and data type conversion. Users can access these functions through a visual formula builder that provides autocomplete suggestions and real-time validation. Complex transformations that would require custom code in other platforms can be accomplished through Make's visual interface, including parsing JSON/XML, aggregating data from multiple sources, and restructuring nested data objects. Ensures data compatibility between applications with different data formats and structures, eliminating manual data cleanup and transformation tasks.

βœ“ Ensures data compatibility between applications with different data formats and structures, eliminating manual data cleanup and transformation tasks

Tray.io

Tray.io incorporates artificial intelligence throughout the automation lifecycle to enhance workflow performance and reliability. The AI engine analyzes workflow execution patterns to identify bottlenecks, suggest optimizations, and predict potential failures before they occur. Within workflows, AI capabilities enable intelligent routing decisions, natural language processing for unstructured data, and adaptive logic that responds to changing conditions. The platform's AI also assists in workflow creation by suggesting next steps, recommending best practices, and automatically configuring common patterns based on the user's intent. This AI-first approach transforms static automations into intelligent processes that continuously improve. Transforms automations from static rule-based processes into intelligent workflows that adapt, optimize, and improve over time without manual intervention.

βœ“ Transforms automations from static rule-based processes into intelligent workflows that adapt, optimize, and improve over time without manual intervention

Both Make (Integromat) and Tray.io offer Advanced Data Transformation. Make (Integromat)'s approach focuses on make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between applications., while Tray.io emphasizes tray.. Choose based on which implementation better fits your workflow.

Execution History & Debugging

Tray.io

Make (Integromat)

Every scenario execution in Make is logged with complete visibility into each step's input data, output data, and processing time. Users can replay any historical execution to understand exactly what happened, making troubleshooting straightforward even for complex multi-step workflows. The platform provides real-time execution monitoring where users can watch data flow through their scenarios step by step, with the ability to pause execution and inspect intermediate values. Failed executions are automatically flagged with detailed error messages and the option to retry from the point of failure rather than restarting the entire workflow. Reduces debugging time from hours to minutes by providing complete transparency into automation execution, enabling rapid identification and resolution of issues.

βœ“ Reduces debugging time from hours to minutes by providing complete transparency into automation execution, enabling rapid identification and resolution of issues

Tray.io

The platform includes powerful data transformation capabilities that enable users to reshape, enrich, and validate data as it flows between systems. Built-in functions handle common transformations like date formatting, string manipulation, mathematical calculations, and data type conversions. For complex scenarios, users can implement custom JavaScript transformations within the visual workflow. The data mapper provides a visual interface for mapping fields between source and destination systems, with automatic type coercion and validation. Tray.io also supports batch processing for high-volume data operations, enabling organizations to process millions of records efficiently while maintaining data integrity throughout the transformation pipeline. Ensures data consistency and quality across integrated systems while eliminating the need for separate ETL tools or custom transformation scripts.

βœ“ Ensures data consistency and quality across integrated systems while eliminating the need for separate ETL tools or custom transformation scripts

Both Make (Integromat) and Tray.io offer Execution History & Debugging. Make (Integromat)'s approach focuses on every scenario execution in make is logged with complete visibility into each step's input data, output data, and processing time., while Tray.io emphasizes platform includes powerful data transformation capabilities that enable users to reshape, enrich, and validate data as it flows between systems.. Choose based on which implementation better fits your workflow.

Teams & Organizations

Tray.io

Make (Integromat)

Make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized administration. Organizations can create team workspaces where members collaborate on scenarios while maintaining appropriate permission boundariesβ€”some users may have full editing rights while others can only view or execute automations. The platform includes version history for scenarios, allowing teams to track changes over time and roll back to previous versions if needed. Enterprise customers gain additional governance features including audit logs, SSO integration, and the ability to enforce organizational policies across all team automations. Enables automation centers of excellence where teams can collaborate on building, maintaining, and governing automations across the organization with appropriate oversight.

βœ“ Enables automation centers of excellence where teams can collaborate on building, maintaining, and governing automations across the organization with appropriate oversight

Tray.io

Tray.io implements comprehensive security controls designed for enterprise deployment, including SOC 2 Type II certification, encryption at rest and in transit, role-based access control, and detailed audit logging. The platform supports single sign-on integration with enterprise identity providers, enabling centralized authentication and access management. Governance features include workflow versioning, approval workflows for production deployments, and environment separation for development, staging, and production. Organizations can implement custom security policies, restrict connector access by role, and maintain complete visibility into all automation activities through comprehensive logging and monitoring dashboards. Provides the security, compliance, and governance capabilities required for enterprise deployment while maintaining the agility needed for rapid automation development.

βœ“ Provides the security, compliance, and governance capabilities required for enterprise deployment while maintaining the agility needed for rapid automation development

Both Make (Integromat) and Tray.io offer Teams & Organizations. Make (Integromat)'s approach focuses on make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized administration., while Tray.io emphasizes tray.. Choose based on which implementation better fits your workflow.

Strengths & Weaknesses

Make (Integromat)

Strengths

  • βœ“Visual Scenario Builder: Make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecti...
  • βœ“1,500+ App Integrations: Make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanni...
  • βœ“Advanced Data Transformation: Make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between...
  • βœ“Execution History & Debugging: Every scenario execution in Make is logged with complete visibility into each step's input data, output data, and processing time. Users can replay an...
  • βœ“Teams & Organizations: Make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized ad...

Weaknesses

  • βœ—AI-generated content requires human review to ensure accuracy and brand voice consistency.
  • βœ—Initial setup and integration may require technical resources or onboarding support.
  • βœ—Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.

Tray.io

Strengths

  • βœ“Visual Workflow Builder: Tray.io's visual workflow builder provides an intuitive drag-and-drop canvas where users design complex automation workflows without writing code. The...
  • βœ“Universal Connector Library: The platform provides access to over 1,000 pre-built connectors that integrate with virtually every major business application, from CRM systems like...
  • βœ“AI-Powered Process Optimization: Tray.io incorporates artificial intelligence throughout the automation lifecycle to enhance workflow performance and reliability. The AI engine analyz...
  • βœ“Enterprise Data Transformation: The platform includes powerful data transformation capabilities that enable users to reshape, enrich, and validate data as it flows between systems. B...
  • βœ“Enterprise Security & Governance: Tray.io implements comprehensive security controls designed for enterprise deployment, including SOC 2 Type II certification, encryption at rest and i...

Weaknesses

  • βœ—AI-generated content requires human review to ensure accuracy and brand voice consistency.
  • βœ—Initial setup and integration may require technical resources or onboarding support.
  • βœ—Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.

Industry-Specific Fit

IndustryMake (Integromat)Tray.ioBetter Fit
E-commerceMake serves e-commerce businesses by automating the complex workflows that span order management, inventory synchronization, customer communication, and fulfillment operations. Online retailers use Make to connect their storefronts (Shopify, WooCommerce, BigCommerce) with inventory systems, shipping carriers, accounting software, and customer service platforms, ensuring that orders flow seamlessly from purchase to delivery without manual intervention. Common automations include syncing product catalogs across multiple sales channels, automatically updating inventory levels when orders are placed, generating shipping labels and tracking notifications, and triggering post-purchase email sequences.Not specifiedMake (Integromat)
Marketing & AdvertisingMarketing teams leverage Make to orchestrate campaigns across multiple channels, synchronize audience data between platforms, and automate reporting workflows. The platform connects advertising platforms (Google Ads, Facebook Ads, LinkedIn), email marketing tools (Mailchimp, ActiveCampaign, HubSpot), social media management systems, and analytics platforms into unified workflows. Marketers use Make to automatically sync leads from ad campaigns to CRM systems, trigger personalized email sequences based on user behavior, aggregate campaign performance data into dashboards, and coordinate content publishing across social channels.Not specifiedMake (Integromat)
SaaS & TechnologySoftware companies use Make to automate internal operations, enhance their products with integrations, and streamline customer onboarding processes. Development teams connect Make to project management tools, code repositories, CI/CD pipelines, and monitoring systems to automate DevOps workflows. Product teams use Make to sync customer data between their application and third-party services, automate user provisioning, and trigger notifications based on product events. Customer success teams automate onboarding sequences, usage tracking, and renewal workflows.Technology companies leverage Tray.io to automate their go-to-market operations, product-led growth workflows, and customer success processes. SaaS organizations use the platform to orchestrate lead routing, trial-to-paid conversion workflows, usage-based billing calculations, and customer health monitoring. The platform's API-first architecture and developer-friendly features make it particularly suitable for technology companies that need to integrate automation with their own products and internal systems. Tray.io also supports DevOps automation, incident management workflows, and cross-functional data synchronization.Tie
Professional ServicesConsulting firms, agencies, and professional service providers use Make to automate client management, project tracking, time billing, and document workflows. The platform connects CRM systems with project management tools, accounting software, and document repositories to create end-to-end client lifecycle automation. Common use cases include automatically creating project structures when deals close, syncing time entries to invoicing systems, generating client reports from multiple data sources, and automating contract and proposal workflows.Consulting firms, agencies, and professional services organizations use Tray.io to automate project management workflows, resource allocation, time tracking, and client reporting processes. The platform connects project management tools, CRM systems, financial applications, and collaboration platforms to create seamless operational workflows. Professional services firms leverage Tray.io to automate proposal generation, contract management, and billing processes, reducing administrative overhead and enabling consultants to focus on client delivery rather than operational tasks.Tie
HealthcareHealthcare organizations leverage Make to automate patient communication, appointment management, and administrative workflows while maintaining compliance with privacy regulations. The platform connects electronic health record systems, scheduling software, patient communication tools, and billing systems. Healthcare providers use Make to automate appointment reminders, patient intake form processing, insurance verification workflows, and care coordination communications between providers.Not specifiedMake (Integromat)
Financial ServicesFinancial services firms use Make to automate data processing, client reporting, compliance workflows, and operational processes. The platform connects trading systems, portfolio management tools, CRM systems, and reporting platforms. Common automations include aggregating data from multiple sources for client reports, automating compliance documentation, syncing client information across systems, and triggering alerts based on market conditions or account changes.Financial institutions leverage Tray.io to automate complex compliance workflows, customer onboarding processes, and cross-system data reconciliation. The platform's enterprise security features and audit capabilities meet stringent regulatory requirements while enabling banks, insurance companies, and fintech firms to reduce manual processing in areas like loan origination, claims processing, and regulatory reporting. Tray.io's ability to handle sensitive financial data securely while orchestrating processes across core banking systems, CRM platforms, and compliance tools makes it particularly valuable for financial services automation.Tray.io
EducationEducational institutions and EdTech companies use Make to automate student communication, enrollment processes, learning management workflows, and administrative operations. The platform connects learning management systems, student information systems, communication tools, and payment processors. Schools and training providers automate enrollment confirmations, course reminders, certificate generation, progress tracking notifications, and integration between online learning platforms and administrative systems.Not specifiedMake (Integromat)
Real EstateReal estate professionals use Make to automate lead management, property listing syndication, transaction coordination, and client communication workflows. The platform connects CRM systems, listing platforms, document management tools, and communication channels. Agents and brokerages automate lead capture and distribution, property alert notifications, transaction milestone tracking, and marketing campaign coordination across multiple listing services.Not specifiedMake (Integromat)

Our Verdict

Make (Integromat) and Tray.io are both strong AI Operations solutions. Tray.io stands out for visual scenario builder. Choose based on which specific features and approach best fit your workflow and requirements.

Choose Make (Integromat) if you:

  • βœ“You operate in E-commerce
  • βœ“You prefer Make (Integromat)'s approach to ai operations
  • βœ“You prefer Make (Integromat)'s approach to ai operations
View Make (Integromat)

Choose Tray.io if you:

  • βœ“You need visual scenario builder capabilities
  • βœ“You need 1,500+ app integrations capabilities
  • βœ“You operate in Financial Services
View Tray.io

Need Help Choosing?

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Frequently Asked Questions

It depends on your specific needs. Make (Integromat) and Tray.io each have strengths in different areas. Compare features, integrations, and pricing to determine which is best for your use case.
In some cases, yes. Many teams use complementary tools together. Check if both platforms offer integrations or APIs that allow them to work together.
Both platforms offer different onboarding experiences. Make (Integromat) and Tray.io each have their own setup processes. Most users can get started with either within a few hours.
The main differences are in their approach, feature set, and target use cases. Review the comparison criteria above to see detailed breakdowns of how they differ.
For small teams, consider factors like ease of use, pricing tiers, and the specific features you need most. Both Make (Integromat) and Tray.io can work for small teams depending on your priorities.

Sources & Evidence

  • Visual scenario builder with AI-powered automation suggestions and natural language workflow creation for building complex multi-step automations without coding

    Source: Make's visual scenario editor combined with AI capabilities allows users to build workflows by connecting apps visually on an infinite canvas, with AI suggesting automation patterns and optimizations based on usage patterns. The platform processes over 2 billion operations monthly across its user base and supports 1,500+ pre-built integrations with native connectors, making it one of the most comprehensive no-code automation platforms available. Users can describe workflows in plain English and have Make generate the corresponding automation structure, dramatically reducing time-to-value for new automations.

  • AI-powered visual workflow automation with 1000+ pre-built connectors enabling complex multi-step enterprise automations without coding

    Source: Tray.io's platform uniquely combines an intuitive visual workflow designer with advanced AI capabilities, supporting over 1,000 native integrations to enterprise applications. The platform enables organizations to build sophisticated automations through a drag-and-drop interface while leveraging AI for intelligent process optimization, automatic error handling, and predictive workflow management. This combination of accessibility and enterprise-grade power differentiates Tray.io from traditional iPaaS solutions that either sacrifice ease-of-use for capability or vice versa. Customer implementations demonstrate 80%+ reduction in manual work and process completion times reduced from days to minutes.

Last updated: January 30, 2026

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