Make.com vs Adapt (2026)

Make.com

by Celonis (Make)

Adapt

by Adapt

Pros

• ✓Visual scenario builder handles complex branching, iteration, parallel execution, and data transformation that Zapier's linear editor cannot match. Scenario Inputs and Outputs enable structured data passing between chained workflows.
• ✓Credit-based pricing bills per module action rather than per task, and the price per scenario drops as credit tiers scale. On Pro and above, annual billing lets credits pool across 12 months rather than expiring each month. File size limits rise from 5 MB on Free to 1 GB on Enterprise.
• ✓Connects 3,000+ apps with detailed control over data mapping and error handling at each step. Native MCP server and client app, Make AI Agents, Library of Agents, AI Content Extractor, and AI Web Search embed intelligence at any automation step.

Limitations

• ⚠Steeper learning curve than Zapier: building first scenarios takes meaningful time investment for non-technical users unfamiliar with visual workflow logic, scenario inputs and outputs, and branching paths.
• ⚠Smaller native app library than Zapier: some niche tools lack native Make connectors and require custom HTTP module workarounds or the Custom Apps builder.
• ⚠No self-hosting option: data passes through Make's AWS infrastructure in EU or North America, limiting use for strict compliance environments that require on-premise data processing outside the Enterprise on-prem agent.
• ⚠Running out of credits pauses automations rather than incurring overage charges. Scenarios stop running until credits are added, with vendor notifications at 75 and 90 percent of the allowance.

Pros

• ✓Usage-based pricing with no seat minimums and a genuinely free starter tier lowers adoption friction. Starter gives every user $25 in free credits, a $100 Slack bonus, and up to $300 for work-domain signups, so teams can run real workflows before committing to a paid plan.
• ✓Slack-native interaction means end users adopt nothing new: anyone can tag @Adapt in an existing channel to query data, trigger workflows, or run cross-system analysis. Adapt also exposes a hosted MCP server (early access, June 2026), so external agents and tools can connect over the Model Context Protocol and inherit full company context.
• ✓SOC 2 Type II certified, with GDPR and CCPA listed on the security page and an explicit commitment that user data is never used to train AI models. OAuth tokens and API keys are stored in encrypted infrastructure, addressing the privacy objections that block AI tool adoption.

Limitations

• ⚠Microsoft Teams is not supported, so organizations where Slack is not the primary chat platform must rely on the web or mobile app for all interactions, reducing the chat-native experience central to Adapt's value.
• ⚠Zero independent reviews on G2, Capterra, or any third-party platform as of Q3 2026, so buyers have no external validation beyond vendor-published testimonials to assess reliability and support before committing.
• ⚠Credit-based pricing is harder to forecast at production scale than flat-rate billing, so teams running complex cross-system workflows may find costs less predictable than no-code alternatives such as Zapier or Make ($9/mo billed annually).