Make.com vs Activepieces: Which Automation Tool Is Better?

By Ginikachukwu Nwibe

on Wednesday, Mar 11th, 2026

This blog takes a close look at Make.com vs Activepieces. We will explore the ideas behind each tool, their capabilities and limitations, and how they align with the needs of teams in 2026.

By the end, you should walk away with a clear understanding of:

What each platform offers at its core
Which types of users and teams each platform serves best
Which system supports long-term automation maturity

Find out how Activepieces fits into your automation strategy for the coming years. Schedule a call with the Activepieces team!

TL;DR

When comparing Make.com vs Activepieces, the main difference comes down to:

Ease of use: Activepieces offers a visual builder for non-technical users, while Make scenarios become harder to manage as workflows grow.
Infrastructure: Activepieces supports custom code, open-source access, and deeper extensibility, while Make limits platform modification.
Pricing: Make charges per operation, which can cause unpredictable costs, while Activepieces pricing depends on active workflows with unlimited runs.
Hosting: Make runs only in the cloud, while Activepieces supports both managed cloud and self-hosted deployment.

What Is Activepieces?

Activepieces homepage

Activepieces is a user-friendly AI automation ecosystem that not only helps you create workflows but also provides a range of automation tools that support all business needs, from internal task handling to customer-facing AI interactions to critical workflows that require human-in-the-loop steps.

Since it’s entirely open-source, with its source code available on GitHub, you have the ability to fork, customize, and contribute to the platform freely.

The five major products in the Activepieces ecosystem include:

Agents: Intelligent AI agents that can take prompts, carry out tasks, and return structured results. You can build AI agents with Activepieces with natural language to carry out tasks for you.
Workflow builder: A modern, clean drag-and-drop builder that helps non-technical users build intelligent workflows in a user-friendly interface.
Tables: Databases for storing and organizing data within workflows. Think of them as native spreadsheet-like objects, ideal for tracking leads, managing queues, or referencing data across automations.
To-dos: These introduce human-in-the-loop automation, allowing flows to pause until someone on your team completes a task or approves an action. It’s an essential feature for critical use cases like content review, invoice approvals, support escalation, or internal QA processes.
Model context protocols (MCPs): They let you turn your LLMs like ChatGPT, Claude, or Cursor into agents by giving them access to your tools and workflows. These LLMs can then carry out very specific business tasks for you.

Who Is Activepieces For?

Activepieces is loved by non-technical teams for its ease of use and by technical teams for its extensibility. It appeals to a wide range of users, like:

Companies and organizations that want to easily put automation in the hands of their employees and get ROI without several months of training.
Working in cross-functional teams where both humans and automation must collaborate.
Needing internal tools that blend automation with real-time decision-making.
Enterprises that want control over their infrastructure and keep sensitive data on their own servers.
Agencies and consultants who serve clients with varied automation and compliance needs.

Bring developers and operators into the same automation environment. Create your Activepieces account now!

What Is Make?

Make

Image Source: make.com

Make, formerly known as Integromat, allows most users to build automated workflows called scenarios by connecting apps, services, and logic modules on a canvas.

Each scenario consists of a series of steps that execute either based on a trigger (like a new email or a webhook event) or on a scheduled basis.

You drag modules onto the canvas to represent different actions or services.

Who Is Make For?

Make leans toward users who are comfortable with abstract thinking and technical logic. It’s not as plug-and-play as some no-code tools, but it offers flexibility to users with technical skills.

Make vs Activepieces: Feature Comparison

Let’s look at how Make and Activepieces compare when it comes to features.

Ease of Use

Ease of use is often the make-or-break factor in workflow automation tools. The best features in the world don’t matter if you can’t find them, understand them, or implement them without hitting roadblocks.

Make

Make’s interface is built around the concept of “scenarios,” where you drag modules (representing apps or functions) onto a canvas and connect them into a logical flow.

However, this comes with a learning curve. The more detailed a scenario becomes, the harder it is to manage.

As workflows grow beyond 10–15 modules, the canvas becomes cluttered. Managing nested routers, handling errors, and tracing data paths can feel overwhelming, especially for newcomers.

Here are a few usability pain points of Make:

Error debugging: While Make provides execution and audit logs, identifying where and why something failed is not always intuitive. Some modules silently skip steps if the data isn’t formatted as expected.
Hidden configuration settings: Many options are nested inside multiple clicks, which can slow down the building process.
Learning curve: Make expects you to understand technical concepts like arrays, iterators, conditional and complex logic, and JSON formatting. This can be a barrier for non-technical teams.

Activepieces

Activepieces is designed to be immediately understandable, even to those with no background in automation. While it also features a visual builder, its interface is far more streamlined.

Some of the features that support ease of use include:

A no-code, user-friendly frontend (for building workflows and configuring steps). The interface is intentionally spaced out, with clearly labeled elements and consistent structure.
Each step in a workflow includes clear status indicators. When a piece fails, you are shown detailed logs and errors at the step level, which makes troubleshooting intuitive.
AI agents can be built with natural language prompts. There’s no need to worry about JSON formatting or fine-tuning complex payloads unless you want to.

Infrastructure and Developer Extensibility

Automation tools don’t only differ in features. Infrastructure and developer extensibility show how much control you really have once workflows grow larger or require deeper integrations.

Make

You cannot create native modules or build app connectors directly.
You cannot run the engine locally, test in staging, or fork the automation engine.
Limited support for versioning, modular reuse, or infrastructure tuning.

For developers, this means Make often feels like a black box. You can build with it, but you can’t extend, embed, or modify it beyond the boundaries of the visual canvas.

Activepieces

As user-friendly as Activepieces is, it is also developer-friendly and open-source. It:

Supports JavaScript/TypeScript code steps natively inside workflows.
Allows custom piece development using its public SDK.
Can be self-hosted.
Integrates into CI/CD pipelines for automated testing and deployment.
Developers can directly contribute to or fork the open-source repo.

Engineering teams gain full control over the automation engine.

Companies that need tight integration with internal infrastructure, custom security rules, or the ability to scale specific components often prefer that level of control.

Pricing and Scalability

Budget conversations often happen early during tool selection, and the choice depends on how easy it is to forecast monthly costs. Beyond the monthly numbers, what matters is how predictably costs grow as your automations grow.

Make: Operations-Based Pricing

Make’s pricing is built around operations, which are units of work. Operations are not the same as tasks or actions. An action like collecting form data can take more than one operation.

Even simple workflows can consume dozens or hundreds of operations per run, especially when iterators or routers are involved.

For example, a workflow that sends 10 emails with formatting and filtering might consume 30 to 50 operations. Now multiply that by hundreds of triggers per day, and you quickly outgrow the entry plans.

Many users get caught off guard by unexpected jumps in usage-based pricing, especially when launching a scenario at scale.

These are the several plans in Make:

Free plan: Includes 1,000 credits per month, the visual workflow builder, routers and filters, customer support, and a 15-minute minimum interval between workflow runs.
Core plan: Priced at $10.59 per month for 10,000 credits, and adds unlimited active scenarios, scheduling down to the minute, higher data transfer limits, and access to the Make API.
Pro plan: Priced at $18.82 per month for 10,000 credits, and includes priority scenario execution, custom variables, and full-text search for execution logs.
Teams plan: Priced at $34.12 per month for 10,000 credits, and adds team roles, collaboration tools, and the ability to create and share scenario templates.
Enterprise plan: Uses custom pricing and includes custom functions, enterprise app integrations, advanced security options, 24/7 enterprise support, and access to Make’s value engineering team.

Activepieces: Unlimited Tasks

Activepieces’ pricing plan takes a different route.

Plans depend on how many workflows stay active rather than counting every action.

Standard plan: Free for 10 active flows, unlimited runs, AI agents, unlimited MCP servers, unlimited tables, and email support. You can add new flows for $5 per flow per month.
Unlimited plan (annual contract): Custom pricing. Includes security controls, team projects, role permissions, SSO, audit logs, centralized AI billing, management APIs, Git sync, private pieces, and enterprise deployment support.
Activepieces Embed (annual contract): Starts at $30,000 per year, includes an embedded automation builder, embedded AI agents, JavaScript SDK, custom templates and branding, piece management, private pieces, and cloud or own servers deployment.
Community edition: Free self-hosted version that runs on your servers and removes task limits.

The most important takeaway is this:

With Make, you can’t easily forecast costs because your “operation count” is a function of workflow complexity, app behavior, and unexpected triggers.
With the Activepieces pricing plan, your billing remains the same according to your paid plan.

Keep automation costs stable even when workflow volume increases. Connect with the Activepieces team to discuss your setup!

Hosting and Privacy

The way a platform handles hosting and privacy tells you where your automation runs and how your data stays protected.

Make: Cloud-Only Infrastructure

Make is built as a cloud-only platform, hosted on Make’s infrastructure. There’s no option to deploy it privately.

All automation scenarios, user data, credentials, and logs are stored and executed within their managed environment. Users access the service on the web, but all execution happens on Make’s servers.

Advantages:

Simplicity: No setup, no maintenance. Users can sign up and start building immediately.
Managed scaling: All infrastructure, uptime, and performance optimization are handled by Make.

Limitations:

Limited usage: With no option to deploy Make privately, it will most likely rule out usage for:
- Government agencies with strict data residency rules.
- Healthcare or finance teams need full compliance control.
- Enterprises running internal-only systems.
No data sovereignty: All data processed by Make resides on their servers. Even if encrypted, you can’t audit the infrastructure or control the data lifecycle.

For many startups and small teams, cloud-only is fine. But for security-sensitive sectors or high-volume operations, this can be a deal-breaker.

Activepieces: Cloud and Self-Hosted

Activepieces offers two deployment paths:

Managed cloud (hosted by Activepieces)
Self-hosted (hosted on your premises)

Self-hosting benefits:

Full data ownership: All data, including logs, credentials, workflow states, and AI agent memory, lives on infrastructure you control.
Regulatory compliance: Teams subject to GDPR, HIPAA, SOC 2, or industry-specific compliance can deploy Activepieces within their infrastructure.
Air-gapped environments: For use cases that require restricted internet access (e.g., internal R&D tools), Activepieces can be deployed locally with no external dependencies.
Custom performance tuning: Users can scale up memory, CPU, or parallel processing based on internal needs.

Cloud hosting:

For teams who want ease of use, Activepieces offers a managed cloud platform that mirrors the same features and UX.
Data is encrypted, performance is optimized, and cloud pricing is transparent.

Such a hybrid model is ideal for teams that want to start in the cloud but maintain the ability to move on-prem later, whether for scale, policy, or integration reasons.

Make vs Activepieces: Which Should You Choose?

The right tool depends on the kind of automation you’re trying to build and where you want to take it.

Make is good for automating straightforward, task-based workflows, especially for semi-technical teams.

But if you’re looking for a tool that is loved by non-technical teams for its ease of use while remaining flexible for developers, then Activepieces is what you need.

If you also want to build systems that will evolve as AI evolves and scale long-term, then Activepieces offers a more forward-thinking solution.

Automate Complex Workflows Easily With Activepieces

AI adoption with Activepieces

You’ll notice a big difference between Make and Activepieces once your workflows become complicated. Activepieces manages those complex automations in one platform, while many teams find Make scenarios harder to manage as the workflow grows.

It gives you native code support, advanced branching, and custom logic, so you have the freedom to design workflows around your business processes.

You can connect with 647+ pre-built integrations, and that number continues to grow through community contributions. With Activepieces, you can further build missing integrations yourself in TypeScript rather than waiting for vendor updates.

Non-technical users can build flows visually, while engineers can expand workflows with advanced features without losing control or paying high prices, which keeps automation affordable as usage grows.

Turn everyday tasks into automated flows your team can rely on. Use Activepieces today!

FAQs About Make.com vs Activepieces

Is Activepieces better than Make (Integromat)?

Activepieces is often a better choice if you want open-source automation, AI integrations, and full control through self-hosting. Make is for visual workflows, but Activepieces gives teams more flexibility and customization as automation grows.