Activepieces vs Workato
Workato scores 7.9 to Activepieces's 7.8 among the workflow automation tools we rate, and is the better pick for 2 of the 4 kinds of buyer below.
Workato wins, 7.9 to 7.8
Workato's Agent Orchestration lets multiple agents hand off work to each other; each Activepieces agent works alone with no agent-to-agent handoff. Activepieces answers with infrastructure: self-hosting is available on every plan including the free tier, with EU hosting by default, while Workato has no self-hosted edition. Workato lists far more app connectors, 14,000 against Activepieces' 764. Both offer a visual builder, branching, and webhook triggers.
Pick Activepieces if you want to self-host and keep data in the EU.
Pick Workato if you need agents that hand off work to each other.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Free plan: Activepieces yes, Workato does not say
- App connectors: 14,000 apps against 764 apps
- Agents that work together: Workato yes, Activepieces no
- Self-hosted edition: Activepieces yes, Workato no
- Does not train AI on your data: Activepieces yes, Workato does not say
- But Workato leads on choice of data region: Us, eu, uk, jp, au against Eu
How they score
Both are scored the same way, against the other workflow automation tools we rate, from facts on each vendor's own pages. They split the criteria 2 each, with the rest level.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (8)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Activepieces
Workato
Pros and cons
From each tool's full review, written from the same checked facts.
Activepieces
- Unlimited automation runs are included at no extra charge regardless of plan, making it cost-effective for high-volume teams.
- MIT-licensed open-source platform allows full self-hosting on Docker, Helm, or any cloud provider for maximum data control.
- 764 integrations cover a wide range of use cases with four trigger types including webhooks, scheduling, app events, and manual triggers.
- The AI agent builder includes a Human Approval step, making it suitable for workflows involving money or sensitive customer data.
- The drag-and-drop workflow builder works for non-technical users while still allowing developers to write custom logic steps.
- A pre-built agent library organized by team function lowers the barrier for teams that don't want to build automations from scratch.
- Strong community trust with 23,000+ GitHub stars and active Discord and forum communities supporting real-world use cases.
- Relatively young platform founded in 2022, which may raise concerns about long-term stability and enterprise maturity.
- Self-hosting adds infrastructure overhead that smaller teams or non-technical users may find difficult to manage.
- The AI agent builder is newer and less battle-tested compared to the core workflow automation features.
- Teams in non-regulated industries may not fully benefit from the self-hosting advantage that drives much of the platform's appeal.
- The breadth of features may create a steeper learning curve for teams looking for a simple plug-and-play automation tool.
- Community-dependent support model may not satisfy teams that require dedicated enterprise-level customer service.
Workato
- Combines iPaaS, AI agent orchestration, API management, ETL pipelines, and composable MCP servers into a single governed platform, reducing tool sprawl.
- The recipe builder is low-code and visual, with conditional logic and error handling baked directly into the orchestration engine rather than added as an afterthought.
- Execution logs are retained for 30 to 90 days depending on plan, providing meaningful audit trails for enterprise compliance needs.
- The dual Control Plane and Execution Plane architecture addresses both AI governance and operational execution in one system.
- Positioning is sharper than most competitors, clearly targeting enterprise environments rather than trying to scale up a SMB tool.
- Claims 25,000 customers across 90 countries, suggesting proven scale and broad real-world deployment.
- Replaces three or four separate tools with one governed platform, which resonates with enterprise IT teams dealing with integration sprawl.
- Pricing is entirely opaque — the pricing page provides no actionable information, making cost evaluation difficult without engaging sales.
- The platform is not aimed at small or mid-market buyers, meaning those comparing it to Zapier are likely to find it over-engineered and overpriced.
- Flies under the radar outside enterprise IT circles, indicating limited community resources and third-party documentation.
- The breadth of features — workflows, AI agents, API management, ETL, MCP servers — creates significant complexity that may overwhelm teams without dedicated integration staff.
- No hands-on testing data is available in this review, meaning feature claims are based on vendor docs and community sources rather than direct validation.
- The platform's ambitious scope means whether it actually delivers on replacing multiple tools remains complicated and unproven for every use case.
Activepieces vs Workato: common questions
Which is better, Activepieces or Workato?
Workato scores 7.9 and Activepieces 7.8 out of 10 among the workflow automation tools we rate. Workato is ahead on aI agents and apps it connects to. Activepieces is ahead on pricing and hosting and security.
What can Activepieces do that Workato cannot?
On the facts both vendors publish: self-hosted edition.
What can Workato do that Activepieces cannot?
On the facts both vendors publish: agents that work together.
