Make.com vs ActivePieces 2026: Cloud vs Open-Source Automation
Make.com commands the mid-market with 3,000+ integrations and a visual canvas that non-engineers can actually use. ActivePieces is an MIT-licensed open-source challenger that lets you self-host the entire automation stack on your own infrastructure — for free.
This comparison covers deployment model, pricing, integration depth, workflow builder maturity, AI features, and the specific use cases where each tool wins.
The Core Trade-off in One Sentence
Make.com is the safer, more feature-complete cloud platform. ActivePieces is the correct choice when data residency, cost, or vendor lock-in are non-negotiable constraints.
Deployment Model
This is the most structurally important difference between the two platforms.
Make.com is cloud-only. You build and run scenarios on Make's managed infrastructure. There is no on-premises option at any price tier. All your workflow data, credentials, and execution logs live on Make's servers.
ActivePieces ships as both a cloud product and a fully self-hostable open-source application. The GitHub repository is MIT-licensed. You can deploy it via Docker on your own VPS, Kubernetes cluster, or private cloud in under 10 minutes:
docker run -d \
-p 8080:80 \
-e AP_ENCRYPTION_KEY=your-key \
-e AP_JWT_SECRET=your-jwt-secret \
activepieces/activepieces:latest
For teams handling HIPAA, GDPR, or financial data with strict residency requirements, this architectural difference makes the decision straightforward. Cloud platforms require trusting a vendor's security posture. Self-hosted ActivePieces eliminates that dependency entirely.
Pricing
| Plan | Make.com | ActivePieces Cloud |
|---|---|---|
| Free | 1,000 ops/month, 2 active scenarios | 1,000 tasks/month |
| Entry paid | ~$10.59/month (10,000 ops) | ~$19/month (10,000 tasks) |
| Pro/Growth | ~$18.82/month (10,000 ops + more users) | ~$49/month (50,000 tasks) |
| Self-hosted | Not available | Free (unlimited, open-source) |
| Enterprise | Custom | Custom |
Make.com pricing note: Make charges per "operation," which counts each module execution inside a scenario. A single workflow with 5 steps processing 100 records costs 500 operations. Complex multi-step scenarios burn through the free tier fast.
ActivePieces pricing note: ActivePieces charges per "task," where each step execution in a flow counts as one task. The pricing model is comparable to Make's operations model. The critical difference is the self-hosted tier: an unlimited, production-ready automation platform at zero recurring cost.
For startups and bootstrapped teams building internal workflows, ActivePieces self-hosted eliminates an entire SaaS expense line.
Winner on price: ActivePieces — especially for self-hosters. Make wins if you need enterprise support and guaranteed uptime SLAs.
Integration Count and Ecosystem Depth
| Metric | Make.com | ActivePieces |
|---|---|---|
| Native integrations | 3,000+ | 280+ (and growing) |
| Custom HTTP/API calls | Yes (HTTP module) | Yes (HTTP module) |
| Community pieces | Closed | Open-source, community-contributed |
| Webhook support | Yes | Yes |
| Self-hosted custom connectors | Not applicable | Yes — build and deploy your own |
Make's 3,000-app library is a genuine moat. If your workflow requires connecting Salesforce, NetSuite, SAP, or obscure enterprise tools, Make almost certainly has a pre-built connector. ActivePieces' 280+ integrations cover the most common SaaS stack (Slack, Google Sheets, Notion, HubSpot, Airtable, OpenAI), but mid-market enterprise tooling coverage is thinner.
ActivePieces' open-source model creates a different kind of value: the connector codebase is public, auditable, and community-extensible. A developer can fork the repository, build a custom piece for an internal tool, and deploy it in the same environment — without waiting on a vendor's integration roadmap.
Winner on integrations: Make.com — by a wide margin today. ActivePieces is closing the gap, particularly for open-source-friendly stacks.
Workflow Builder
Both platforms use a visual, node-based interface where you connect triggers to actions.
Make.com's scenario builder is a mature, polished canvas. You can build complex branching logic, error handlers, iterators, and aggregators through a drag-and-drop interface. The data mapping panel uses a structured variable browser — less intimidating than raw JSON path syntax. Make also offers Maia, an AI assistant that builds scenario drafts from natural language prompts.
ActivePieces' flow builder follows a more linear, step-by-step paradigm (closer to Zapier's UX). Each flow starts with a trigger and adds sequential steps. Branching is supported via conditional router steps. The interface is clean and loads faster than Make's heavier canvas.
For non-technical users, Make's builder exposes more power at the cost of a steeper learning curve. ActivePieces' builder is easier to onboard quickly, but complex parallel branching and loop logic require more workarounds.
Winner on builder: Make.com for advanced logic complexity. ActivePieces for onboarding speed.
AI and Agentic Automation
Make.com has shipped significant AI infrastructure. Key capabilities:
- AI Agents: Build autonomous agents that can browse the web, call APIs, and make decisions within a scenario. Configure with OpenAI, Anthropic, or other LLM providers.
- Maia: Conversational AI assistant for building scenarios from natural language descriptions.
- MCP Support: Make ships both an MCP server (expose Make scenarios as tools to any AI agent) and an MCP client (call external MCP tools inside a scenario). This makes Make a credible orchestration layer for agentic AI systems.
- Code App: Run native JavaScript or Python inside scenarios for custom data transformations without external services.
ActivePieces supports AI through pieces (connectors):
- Native OpenAI, Anthropic, Google AI, and Hugging Face connectors.
- AI text generation, image generation, and embedding steps.
- No native AI agent loop or autonomous reasoning capability as of March 2026.
- Community-contributed AI pieces are actively expanding the library.
For teams building AI workflows — LLM pipelines, RAG data ingestion, agentic task runners — Make's built-in agent infrastructure provides a significant head start over ActivePieces' connector-based approach.
Winner on AI features: Make.com — substantially.
Community and Support
| Dimension | Make.com | ActivePieces |
|---|---|---|
| Community forum | Active (Make Community) | Active (Discord + GitHub) |
| Documentation | Comprehensive | Good and improving |
| Paid support | Yes (all plans) | Cloud: yes; Self-hosted: community only |
| GitHub stars | Closed source | Growing community (check GitHub) |
| Template library | 1,000+ | 100+ |
Make's community is larger by volume — years of templates, forum threads, and YouTube tutorials exist for nearly every integration pattern. Finding a pre-built Make template for a common automation task (send Slack alert when HubSpot deal closes) takes minutes.
ActivePieces' GitHub-native community is technically oriented. Issues get fast responses from the core team, and the roadmap is public. If your team includes developers comfortable with pull requests and Docker, the support model works well.
Winner on community: Make.com for breadth of resources. ActivePieces for developer-to-developer support quality.
Security and Compliance
Make.com holds SOC 2 Type II and ISO 27001 certifications. Enterprise customers can negotiate DPAs and custom data processing agreements. Credentials are encrypted in transit and at rest.
ActivePieces cloud offers comparable security certifications for its hosted product. The self-hosted deployment allows organizations to implement their own encryption, network isolation, and audit logging — potentially exceeding what any vendor can offer. You own the database, the secrets vault, and the network boundary.
For regulated industries (healthcare, financial services, government), ActivePieces self-hosted with internal security controls may actually be the lower-risk choice.
Head-to-Head: Which Tool Wins for Each Use Case
| Use Case | Best Choice | Reason |
|---|---|---|
| Non-technical team automating SaaS workflows | Make.com | Larger integration library, polished UI, extensive templates |
| Startup on a tight budget | ActivePieces (self-hosted) | Zero recurring cost for unlimited workflows |
| Data residency or GDPR-strict environment | ActivePieces (self-hosted) | Full infrastructure control |
| AI agent and LLM orchestration | Make.com | Native AI agents, MCP server/client, Maia |
| Developer building custom internal tools | ActivePieces | Open-source, custom pieces, API-first |
| Enterprise with 500+ automations | Make.com | Scale, support SLAs, enterprise security |
| Open-source stack preference | ActivePieces | MIT license, public roadmap, community contributions |
FAQ
What is ActivePieces?
ActivePieces is an open-source automation platform — think Zapier or Make.com, but with MIT licensing and full self-hosting support. You connect triggers and actions from 280+ integrations using a visual flow builder. The codebase lives on GitHub and can be deployed on any Docker-compatible host at no cost.
Is ActivePieces free?
Yes — in two ways. The self-hosted version is completely free with no task limits or feature restrictions. The cloud version offers a free tier with 1,000 tasks per month. There is no open-source "community edition" with artificial limits — the MIT license means you get the full product.
How does ActivePieces compare to Make.com on integrations?
Make.com has 3,000+ pre-built connectors; ActivePieces has 280+. For common SaaS apps (Slack, Google Workspace, Notion, HubSpot, OpenAI), both platforms have solid coverage. For obscure enterprise tools (SAP, NetSuite, legacy CRMs), Make has significantly broader support. ActivePieces compensates through its custom HTTP module and the ability to write and deploy your own connectors.
Can I migrate from Make.com to ActivePieces?
There is no automated migration tool. You would rebuild flows manually in ActivePieces. For teams with complex Make scenario libraries, this is a real migration cost to factor into the decision. ActivePieces' UX is different enough that a rebuild — not a direct export/import — is the practical path.
Does ActivePieces support webhooks?
Yes. ActivePieces supports both inbound webhooks (trigger a flow from an external HTTP POST) and outbound webhooks (POST data from a flow to any endpoint). The implementation is comparable to Make's webhook modules.
Does Make.com have an open-source version?
No. Make.com is a proprietary SaaS platform. There is no self-hosted, on-premises, or open-source variant. If infrastructure ownership is a requirement, Make is not viable regardless of price.
Getting Started
To try Make.com: Create a free account — 1,000 operations/month with access to all 3,000+ integrations. No credit card required.
To try ActivePieces (self-hosted): Clone the repository and run the Docker Compose stack. The community Discord has onboarding guides for common VPS providers.
Related Guides
If you're evaluating Make.com alongside other automation platforms, see:
- Apify + n8n: Serverless Extraction Pipelines — orchestrating async data pipelines with the leading open-source automation platform
- Apify + Zapier Guide — understanding the architectural limits of synchronous webhook execution
- Browser Automation with AI Agents — connecting automation platforms to autonomous browser agents