Rows logoRows4.2
vs
Make (Integromat) logoMake (Integromat)4.4

Rows vs Make (Integromat): Which is Better in 2026?

Last updated: April 2026

Quick Verdict

Rows (4.2/5 rating) is an AI-powered spreadsheet platform designed for data analysis, reporting, and workflow integration, offering a familiar spreadsheet interface enhanced with automation and live data connectors. Make (Integromat) (4.4/5 rating) is a visual automation platform focused on connecting apps and APIs through drag-and-drop workflows with AI modules for data processing. Both operate on freemium models with free plans. Rows excels in interactive data apps and team collaboration within spreadsheets, while Make specializes in complex, multi-step automations across numerous applications. The choice depends on whether the primary need is spreadsheet-centric data work (Rows) or application integration and workflow automation (Make).

Our Recommendation

For Individuals

Rows is recommended for individuals or freelancers who primarily work with data analysis and reporting in a familiar spreadsheet format, as its interface is more intuitive for spreadsheet-based tasks.

For Startups

Make is often better for startups needing to automate processes between various business apps (like CRM, email, and databases) without coding, though Rows is suitable if data manipulation and dashboards are the core need.

For Enterprise

For large enterprises, Make offers greater scalability for high-volume, cross-departmental automations, while Rows is ideal for finance, analytics, or operations teams building interactive data apps and reports.

Feature Comparison

DimensionRowsMake (Integromat)Winner
PricingFreemium model; specific paid plan details unavailableFreemium model; specific paid plan details unavailableTie
Ease of UseFamiliar spreadsheet interface but a learning curve for advanced automationIntuitive visual builder but steeper learning curve for complex workflowsRows
Core FeaturesAI-powered data analysis, reporting, live connectors, interactive dashboardsVisual automation, AI modules, multi-step workflows, error handlingTie
IntegrationsExtensive live connectors to business apps (e.g., Salesforce, Google Analytics)Extensive library of app integrations with AI-powered modulesMake (Integromat)
Support & CommunityLimited data; typically includes documentation and team supportLimited data; known for strong community and resourcesMake (Integromat)
Free PlanYes, with core featuresYes, strong for testing and small automationsMake (Integromat)
API & CustomizationGood for data app creation; may have API limitsHighly flexible with API connections and custom modulesMake (Integromat)
ScalabilitySuitable for team-based data work; performance can depend on data sourcesScalable for high-volume operations but can become expensiveMake (Integromat)

Detailed Analysis

Pricing

Both tools use freemium models with free plans, but specific pricing details are unavailable. Rows' pricing likely scales based on data connectors, automation features, and team seats. Make's pricing typically depends on operations per month, with costs rising for high-volume workflows. For budget-conscious users, Make's free tier is noted as strong for testing, while Rows offers a free entry point for spreadsheet-based tasks. Without exact numbers, pricing is comparable, but Make may incur higher costs at scale due to operational volume.

Features

Rows focuses on AI-enhanced spreadsheets, automating data analysis, reporting, and creating interactive dashboards within a familiar interface. Make emphasizes visual automation, connecting apps via drag-and-drop workflows with AI modules for data processing and transformation. Rows is feature-rich for data manipulation and collaboration, while Make excels in multi-step automations, error handling, and data routing. Both incorporate AI, but Rows applies it to spreadsheet functions, whereas Make uses it within workflow modules.

Integrations

Rows provides live data connectors to popular services like Salesforce and Google Analytics, ideal for pulling data into spreadsheets. Make offers a broader library of app integrations with AI-powered modules, enabling connections between numerous APIs and services for end-to-end automations. While Rows integrates well for data sourcing, Make is superior for creating complex, interconnected workflows across diverse platforms, making it more versatile for integration-heavy use cases.

User Experience

Rows offers a user-friendly, spreadsheet-like interface that reduces the learning curve for those familiar with Excel or Google Sheets, though advanced features can be complex. Make uses a visual builder that is intuitive for simple automations but has a steeper learning curve for intricate workflows. Rows supports team collaboration effectively, while Make provides robust tools for workflow design and debugging. Overall, Rows is easier for spreadsheet users, while Make requires more initial investment for mastery.

Who Should Choose What?

Choose Rows if you need:

  • Teams needing AI-powered data analysis within spreadsheets
  • Creating interactive dashboards and data apps
  • Collaborative data reporting and workflow integration

Choose Make (Integromat) if you need:

  • Building complex, multi-step automations between apps
  • Visual workflow design without coding
  • High-volume data processing and API integrations

Switching Between Them

To switch from Make to Rows, export automation data to CSV/APIs and import into Rows for analysis. Moving from Rows to Make requires using Rows' connectors to feed data into Make workflows. Test integrations thoroughly in both tools to ensure data consistency.

Frequently Asked Questions

Which tool is better for beginners with no coding experience?+
Rows is generally better for beginners familiar with spreadsheets, as its interface mimics Excel or Google Sheets. Make has a steeper learning curve due to its visual workflow builder, though it remains no-code.
Can I use both Rows and Make together?+
Yes, they can complement each other: use Make to automate data fetching and processing, then feed that data into Rows for analysis and reporting. Integration would require setting up connectors or APIs.
Which tool offers better AI capabilities?+
Both incorporate AI differently: Rows uses AI for data analysis and automation within spreadsheets, while Make employs AI modules for data transformation and processing in workflows. The 'better' choice depends on the use case.
Are there limitations on the free plans?+
Yes, free plans typically have restrictions: Rows may limit data connectors or automation runs, while Make limits the number of operations per month. Both are suitable for testing or small-scale use.
Which tool is more cost-effective for scaling?+
Cost-effectiveness depends on usage: Rows may be cheaper for spreadsheet-centric teams, while Make can become expensive with high-volume automations. Evaluate based on specific feature needs and operational scale.