# Activepieces vs Integry

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Integry records 925 monthly visits with -68.3% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Integry](https://openaitools.app/tool/integry) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://integry.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, No-Code&Low-Code, AI Workflow, AI API |
| Pricing Model | Freemium | Free Trial, Contact for Pricing |
| Monthly Visits | 258,553 | 925 |
| MoM Growth Rate | +1.5% | -68.3% |
| Primary Market | United States | United States |
| Direct Visits | 111,328 | 367 |
| Review Score | 4.6 | 4.2 |
| 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)

## Integry

Integry targets a specific engineering problem: every SaaS product eventually needs integrations with the other tools its customers already use, and building each connector in-house is slow, repetitive, and a permanent maintenance burden. Integry supplies the connectors instead. It advertises pre-built integrations with more than 300 applications, pre-configured OAuth flows, credential and token management, and support for multiple connected accounts per user, all behind a white-label layer so the experience looks native to the host product rather than like a third-party bolt-on.

Beyond raw connectivity, the platform supplies the front-end pieces that usually consume the most engineering time. Teams can embed integration setup and management interfaces, restyle them with their own CSS, and present them inline, in a modal, or as a popup. A no-code visual builder lets end users assemble multi-step workflows with conditions, loops, and error handling, and built-in retry logic with error notifications means failed runs can be resolved by support staff instead of pulling in engineers. The company markets reduced churn and higher feature adoption as the payoff, citing customers who replaced third-party automation tools with embedded equivalents.

Security is positioned as a core requirement rather than a feature. Integry describes a zero-trust stance, states that it treats stored data as a liability to be minimized, and lists compliance with SOC 2, GDPR, HIPAA, and CCPA. It also offers managed integration services, where a dedicated team handles use-case analysis, connector planning and building, testing, help documentation, and ongoing maintenance for teams that would rather outsource the work. The company is based in San Francisco, publishes technical documentation and case studies, and reports powering integrations and API calls at substantial scale for both startups and enterprises.

**Pricing & Plans:** Integry offers a free trial and a self-serve start option, with paid plans and enterprise arrangements quoted on request. The public site points to a pricing page and a book-a-demo flow rather than listing rates, and managed integration services are scoped separately.

- **300+ pre-built connectors:** Ready-made integrations with several hundred business apps, complete with pre-configured OAuth flows and credential management, so teams avoid building and maintaining each connector.
- **White-label embeddable UIs:** Drop-in integration setup and management interfaces that can be styled with custom CSS and displayed inline, in a modal, or as a popup, keeping users inside your product.
- **No-code visual workflow builder:** End users assemble multi-step automations with conditions, triggers, and error handling, without writing code or asking the vendor's engineers for changes.
- **Monitoring and recovery tools:** Real-time integration monitoring, advanced search and filtering, and manual retry workflows let support teams diagnose and fix failures without developer involvement.
- **Security and compliance posture:** Zero-trust architecture with encryption in transit and at rest, data-minimization policy, and stated alignment with SOC 2, GDPR, HIPAA, and CCPA requirements.

**Strengths:** Large library of pre-built connectors removes most bespoke API work; White-label UIs keep the integration experience native inside your own product; Built-in monitoring, retry, and error workflows reduce engineering escalations; Stated SOC 2, GDPR, HIPAA, and CCPA alignment plus a zero-trust architecture

**Limitations:** Pricing is not published, so evaluating cost requires a sales conversation; The value proposition depends heavily on your stack already being covered by the connector library; An embedded platform adds a dependency layer between your product and your customers' data

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Integry has 925. 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%; Integry has -68.3%.

### 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. Integry: Free Trial, Contact for Pricing. Integry offers a free trial and a self-serve start option, with paid plans and enterprise arrangements quoted on request. The public site points to a pricing page and a book-a-demo flow rather than listing rates, and managed integration services are scoped separately.

## 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 | No-code builder for custom AI agents and workflows | [.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 | [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) |
| 6 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Enterprise-grade security and governance for workflows, but geared more toward security and IT operations. | [.md](https://openaitools.app/tool/tines.md) |
| 7 | [Fibery](https://openaitools.app/tool/fibery) | 247,622 | +15.9% | Freemium, Free Trial, Paid | A no-code work platform that replaces your scattered tools with one connected workspace | [.md](https://openaitools.app/tool/fibery.md) |
| 8 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | No-code AI agents and agent teams for real business workflows | [.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-integry

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