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Langdock vs Workato: Complete Comparison (2026)

An in-depth comparison of Langdock and Workato to help you choose the right tool for your business.

Last updated: November 2026

Langdock logo

Langdock

7.1/10

Winner

Langdock is a Berlin-based, EU-hosted AI workspace where company teams chat with many AI models, build custom agents, and automate workflows under central governance.

Workato logo

Workato

6.8/10

Workato is an enterprise platform for integration, automation and AI agents. It connects business apps and data and runs governed AI agents called Genies.

Feature-by-Feature Comparison

Feature
Langdock logo
Langdock
Workato logo
Workato
Scores
Overall Rating7.1/106.8/10
Integration7/109/10
Analytics6/107/10
Customization8/108/10
Ease of Use7/106/10
Support7/107/10
Cost5/102/10
Scalability8/108/10
Security9/109/10
Output Quality8/107/10
Pricing
Free planNoNo
Cheapest paid plan€23/user/mo
Core
Contact for pricing
Estimated cost for 10 users€232/mo
Core
Contact for pricing
Features
AI Agents
API Access
Chatbots
Enterprise Controls
Knowledge Base Search
Private Deployment
Workflow Automation
Text GenerationNot listed
TranscriptionNot listed

Langdock vs Workato cost by team size

The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.

Which One Should You Choose?

Langdock logo
Why choose Langdock

  • Higher Cost score (5/10 vs 2/10)
  • Higher Ease of Use score (7/10 vs 6/10)
  • Better fit for freelancers (3/10 vs 1/10)
  • Better fit for small business (5/10 vs 3/10)

Workato logo
Why choose Workato

  • Higher Integration score (9/10 vs 7/10)
  • Higher Analytics score (7/10 vs 6/10)
  • Better fit for operations teams (8/10 vs 5/10)

Pros & Cons

Langdock logo
Langdock

Pros

  • Access to 40+ models from several providers in one interface, so teams can switch models without buying separate ChatGPT and Claude licences.
  • Strong EU compliance posture: ISO 27001 certification, a SOC 2 Type II audit, GDPR compliance and EU hosting on Azure.
  • SSO, SCIM and SAML are included even on the entry Core plan.
  • Non-technical staff can build no-code agents with their own knowledge bases and permissions.
  • Deployment options range from multi-tenant SaaS to single-tenant, bring-your-own-cloud and on-premise Kubernetes.

Cons

  • There is no permanent free tier, only a 7-day trial.
  • Dedicated and on-premise deployments require 2,000 to 5,000+ seats.
  • Reviewers say its workflows still leave many actions to humans, so automation of operational tasks is limited.
  • Building advanced agents has a learning curve.
  • Per-seat pricing with Max seat upgrades and workflow add-ons can get expensive for small teams.

Workato logo
Workato

Pros

  • The library of more than 1,200 pre-built connectors lets AI agents act across many enterprise systems.
  • Governance controls built into the platform: RBAC, hourly key rotation, audit logs and guardrails that limit agents to approved skills.
  • On-prem gateways and Virtual Private Workato support hybrid and private environments.
  • Every edition includes unlimited workspaces and users, so costs do not rise with each new builder.
  • MCP servers let external assistants such as Claude and ChatGPT act on enterprise apps with controls in place.

Cons

  • No public list prices, and third-party data puts the median contract at about 64,500 USD a year.
  • Usage metering is hard to predict, and reruns count toward consumption.
  • The Standard and Business MCP editions are limited to one concurrent job.
  • Agent Studio and the knowledge base require the top Workato ONE edition.

Not sold on either?

Frequently Asked Questions

Langdock scores higher on our AI Software criteria: 7.1/10 against 6.8/10 for Workato. The largest gap is in Cost: 5/10 for Langdock and 2/10 for Workato.

No, neither Langdock nor Workato lists a free plan.

Workato is the better fit for operations teams: we rate it 8/10 for them, against 5/10 for Langdock.

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