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 is significantly more cost-effective than Zapier at high volume. Annual credits pool across 12 months rather than expiring monthly, and file size limits scale from 5 MB (Free) to 1 GB (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 app library than Zapier at 3,000+ vs 8,000+: 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.

Pros

• ✓Usage-based pricing with no seat minimums and a genuinely free starter tier eliminates adoption friction: Starter gives every user $25 in free credits plus a $100 Slack bonus and up to $300 for work domain signups, meaning teams can run real workflows at scale before committing to any paid plan
• ✓Slack-native interaction model means zero new tool adoption required from end users: any team member can tag @Adapt in any existing Slack channel to query data, trigger workflows, or get cross-system analysis without learning a new interface, attending training, or switching context
• ✓SOC 2 Type II certified with explicit confirmation that user data is never used to train AI models, with OAuth tokens and API keys stored in enterprise-grade encrypted infrastructure, directly addressing the data privacy objections that block AI workflow tool adoption in security-conscious organizations

Limitations

• ⚠Microsoft Teams is not supported: organizations where Slack is not the primary communication platform must use the web app for all interactions, reducing the seamless chat-native experience that is central to Adapt's core value proposition
• ⚠Zero independent reviews on G2, Capterra, or any third-party platform as of Q2 2026: prospective buyers have no external validation beyond vendor-published customer testimonials, making it difficult to assess real-world reliability and support quality before committing
• ⚠Credit-based pricing makes costs difficult to forecast at production scale: teams running complex cross-system workflows may find usage-based billing less predictable than flat-rate alternatives like Zapier (from $19.99/month) or Make (from $9/month) that offer fixed monthly pricing