# Activepieces vs Orchesty

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Orchesty records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Orchesty](https://openaitools.app/tool/orchesty) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://orchesty.io |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Workflow, AI Assistant, AI Developer Tools, No-Code&Low-Code |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 258,553 | 0 |
| MoM Growth Rate | +1.5% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 111,328 | 0 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Activepieces

Activepieces is an AI-first automation platform built around the idea that a team's agents and its people should share one workspace. At the center are AI agents: you describe a job in plain words and the agent works out the steps, the order and which tools to open across your connected apps and any MCP server you point it at. Sensitive steps can be gated behind human approval, so money, customer and production actions stay under control.

Underneath the agent layer sits a mature workflow engine with a visual builder. Chat can draft most of a flow, while branching, retries, waitpoints, subflows, error handling and human approvals handle the hard cases. Where a step needs real logic, you can drop into inline TypeScript and keep the rest visual. Chat, Tables (a lightweight structured data layer), a knowledge base and an MCP server round out the platform so agents and teammates operate on the same data.

The project is open source at its core, with hundreds of contributors maintaining MIT-licensed app pieces, and it deploys flexibly: Activepieces Cloud, your own Docker or Kubernetes infrastructure, or a fully air-gapped install. Enterprise controls include projects and access roles, SSO via Okta or Entra, secret managers such as HashiCorp Vault, audit logs streamed to your SIEM, and bring-your-own AI model keys from Anthropic, OpenAI, AWS Bedrock or Google Gemini.

**Pricing & Plans:** Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure.

- **AI agents from plain language:** Describe a task in everyday words and the agent determines the steps, chooses tools from your connected apps and MCP servers, and pauses for approval on sensitive actions.
- **Visual flow builder with inline TypeScript:** Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code.
- **770+ open-source app connectors:** Every piece is MIT-licensed and community-built, covering the apps you already run, with an HTTP piece for any REST or GraphQL endpoint with auth and pagination handled.
- **Chat, Tables and knowledge base:** Draft flows by chatting, store structured data in Tables that flows and agents can read and write, and keep internal documents searchable by every agent.
- **Enterprise deployment and governance:** Run on the managed cloud, your Docker/Kubernetes stack or air-gapped, with projects, SSO, role-based access, secret managers, audit logs and bring-your-own AI keys.

**Strengths:** Open-source core with MIT-licensed pieces and a genuinely self-hostable build; Strong blend of AI agents, a visual builder and inline TypeScript; Enterprise-grade controls including SSO, roles, secret managers and audit streaming; Large connector library plus an HTTP piece for anything not covered

**Limitations:** The breadth of agents, tables, flows and MCP features can overwhelm new users; Some advanced enterprise capabilities are reserved for paid and self-managed plans; Self-hosting means you own upgrades, scaling and reliability

[Profile (Markdown)](https://openaitools.app/tool/activepieces.md)

## Orchesty

Orchesty positions itself as "integration as infrastructure": instead of fragile synchronous connectors that break at the first timeout, it runs an asynchronous, streaming-first engine where each message is persisted, retried and replayable. Topology slots let teams deploy integration workflows that process from a single event to millions of messages a day, with per-node scaling and a built-in rate limiter to protect downstream APIs. Connectors live in an open marketplace and are all open source, so you can fork and extend them rather than hitting a closed library's limits.

AI shows up in three places. AI Bootstrap, integrated with AI coding IDEs, scaffolds new connectors, mappers and whole topologies from a prompt or an API specification. Pulse is a dynamic MCP server that turns approved processes into authorized tools for external AI agents, so agents can reach real business systems without holding credentials or touching infrastructure directly. Trace reconstructs an individual entity's journey across every process and produces structured audit reports, useful for compliance reviews and debugging data inconsistencies.

Deployment is flexible: shared cloud in a private Kubernetes namespace, a dedicated cluster, or fully on-premise. The commercial Enterprise edition adds SSO, advanced monitoring and SLA-backed support, while the source-available Community Edition under the Elastic License covers self-hosted use. Pricing starts at EUR22 per month for Starter and scales through three Pro performance levels to a custom Enterprise tier, with a free trial and unlimited tasks and executions on every plan.

**Pricing & Plans:** Free trial plus a free self-hosted Community Edition. Paid cloud plans: Starter EUR22/month billed annually (3 topology slots, 1 GB storage, 1,000 messages in flight), Pro from EUR82/month (annual) up to EUR732/month across three performance levels, and custom Enterprise pricing. Optional add-ons include Operations Suite and Audit Logs (EUR180/month each); extra topology slots cost EUR15/slot/month. Yearly billing saves around 8%.

- **Stream-native orchestration:** An asynchronous engine with built-in queues handles everything from a single event to millions of messages per day, with per-message persistence so nothing is lost on retry or restart.
- **AI-generated connectors:** Describe what you need or paste an API spec and Orchesty's AI Bootstrap scaffolds a working connector in minutes, using the same open Node.js and PHP SDKs you would use by hand.
- **Pulse MCP server for AI agents:** Pulse exposes approved topologies as tools to external AI agents over MCP, authorizing each agent by group while keeping credentials and heavy data processing outside the model.
- **Observability and Trace AI auditing:** Real-time dashboards track queues, retries, throughput and bottlenecks, while the Trace AI assistant reconstructs the full journey of any single record across processes.
- **White-label marketplace via Applinth:** Applinth lets SaaS vendors ship a white-label integration marketplace to their own customers with single sign-on, per-tenant execution and quotas on shared infrastructure.

**Strengths:** Asynchronous, stream-native design with per-message persistence and failed-message replay, so high-volume pipelines survive downstream outages; Open-source connector catalogue plus source-available core and open SDKs — no vendor lock-in or hidden logic; AI Bootstrap generates custom connectors and topologies in minutes from a prompt or API spec; MCP support (Pulse) gives AI agents governed access to enterprise systems without exposing credentials

**Limitations:** Steeper learning curve than drag-and-drop low-code automation tools, since it targets developers; Several advanced capabilities (Pulse MCP, Audit Logs, Trace AI, Operations Suite) are locked to the Pro tier or sold as add-ons; Starter plan keeps only 2 days of log retention and a modest 1,000 messages in flight, which is tight for troubleshooting

[Profile (Markdown)](https://openaitools.app/tool/orchesty.md)

## Frequently Asked Questions

### How do Activepieces and Orchesty compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Orchesty has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Activepieces has a month-over-month growth rate of +1.5%; Orchesty has 0%.

### How does pricing compare?

Activepieces: Freemium. Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure. Orchesty: Freemium. Free trial plus a free self-hosted Community Edition. Paid cloud plans: Starter EUR22/month billed annually (3 topology slots, 1 GB storage, 1,000 messages in flight), Pro from EUR82/month (annual) up to EUR732/month across three performance levels, and custom Enterprise pricing. Optional add-ons include Operations Suite and Audit Logs (EUR180/month each); extra topology slots cost EUR15/slot/month. Yearly billing saves around 8%.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Streamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) |
| 8 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Advanced multi-agent workforce builder for complex tasks, but less suited for traditional webhook integrations. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 9 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | Specializes in building conversational chatbots and agentic pipelines visually, but lacks broad traditional connector depth. | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 10 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Strong multi-channel publishing capabilities for AI agents, but less comprehensive for multi-step backend data pipelines. | [.md](https://openaitools.app/tool/coze.md) |

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Source: https://openaitools.app/compare/activepieces-vs-orchesty

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