Sim vs Microsoft Power Automate
Sim is the open-source AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Here is how Sim compares to Microsoft Power Automate on platform architecture, AI capabilities, integrations, pricing, security, and support. Every fact below is sourced and dated.
Sim is an open-source AI workspace for building, deploying, and managing AI agents. This page compares Sim to Microsoft Power Automate across platform architecture, AI capabilities, integrations, pricing, security and compliance, observability, and support, using sourced, dated facts for buyers evaluating both platforms.
What is Sim?
Sim is the open-source AI workspace where teams build, deploy, and manage AI agents, connecting 1,000+ integrations and every major LLM to automate real work visually, conversationally, or with code.
What is Microsoft Power Automate?
Microsoft Power Automate is a low-code cloud automation service in the Power Platform. It builds cloud flows (connector-based triggers/actions), desktop flows (RPA), and AI-assisted/agentic workflows using 1,400+ connectors and Copilot/AI Builder.
Sim vs Microsoft Power Automate: feature-by-feature comparison
CompareSim vs Microsoft Power Automate
Sim
Microsoft Power Automate
Platform
Builder type
Visual canvas, chat, or codeVisual drag-and-drop canvas, natural-language (Chat), or code (API/SDK)
Visual canvas, desktop RPA recorder, Copilot NL, AI BuilderLow-code visual flow builder (trigger/action steps) for cloud flows, a desktop recorder for RPA (desktop flows), Copilot natural-language flow authoring, and AI Builder for embedded AI models. Copilot Studio, a related product, covers conversational/autonomous agent building.. Cloud flows are built visually with connectors; desktop flows are recorded/RPA-based; Copilot can draft flows from natural language descriptions.
Learning curve
Low, plus natural-language Chat for non-technical usersLow for visual building; natural-language Chat surface for non-technical builders. Chat lets users describe a workflow in plain language and have Sim build it.
Easy for simple flows, steep for ALM/RPA at scaleLow for single connector-to-connector flows; steep for solutions, environments, ALM pipelines, and desktop-flow RPA at scale. Accessible to non-developer makers for simple flows, but production-grade multi-environment deployment (solutions, managed/unmanaged packages, pipelines, environment variables) requires dedicated admin/ALM training.
Self-hosting
No: only the data gateway and RPA runtime run locallyThe core cloud-flow service cannot be self-hosted. Only the on-premises data gateway and attended/unattended desktop-flow (RPA) runtime execute on customer-managed Windows machines.. Power Automate's orchestration/cloud-flow engine is a Microsoft-operated multi-tenant cloud service (with Azure Government/GCC/GCC High/DoD sovereign variants); there is no on-prem deployment of that engine.
Deployment options
Cloud-hosted or self-hosted, no mid-tier VPC optionCloud-hosted (managed, multi-tenant SaaS) or self-hosted (Docker/Kubernetes). No documented managed single-tenant/VPC hosting tier in between. The Enterprise plan's only hosting-related row in the pricing comparison table is a boolean "Self Hosting" flag; there is no dedicated-instance/VPC offering.
Commercial cloud plus GCC/GCC High/DoD government cloudsCommercial multi-tenant cloud; Office 365 GCC, GCC High, and DoD sovereign/government cloud environments; on-prem gateway and desktop-flow runtime for local systems. Microsoft's SOC 2 compliance documentation lists Commercial/GCC/GCC High/DoD as in-scope environments for Power Apps/Power Automate.
Templates
Large built-in template galleryLarge built-in template gallery for common connector-to-connector automations (approvals, notifications, file sync) accessible from the flow creation screen. Templates surface directly on the flow creation screen for common automation patterns.
License
Apache 2.0Apache License 2.0
Proprietary commercial SaaSProprietary, commercial SaaS, not open source. Power Automate is a licensed Microsoft commercial cloud product sold via per-user/per-bot subscription plans; no open-source licensing model exists.
Environment promotion
Yes: fork a whole workspace into a dev/qa/prod-style child, diff it, and promote or roll back changes in either direction. Credential and env-var remapping is required before every promote, so secrets are never silently copied across environments. Gated to Enterprise plan on hosted Sim, or a FORKING_ENABLED flag on self-hosted deployments.
Yes: full dev/test/prod environment promotion exists via Dataverse Solutions (managed vs. unmanaged) exported/imported between environments, plus Power Platform Pipelines for automated promotion and environment variables for per-environment config swaps. A Solution bundles flows, tables, connectors, and other assets; unmanaged solutions are used in development, managed solutions are locked down for test/production, and Pipelines automate the import chain across environments.
Version control
Deployment rollback plus Copilot edit diff/revertDeployed-version history with rollback for every workflow; server-persisted checkpoint/revert and visual diff (accept/reject) specifically for Copilot AI edits. Manual drag-and-drop undo/redo is client-side/localStorage only (capped at 100 ops, 5 stacks), not server-synced across devices. Deployment history does not include an arbitrary version-to-version diff tool, and knowledge base documents have no version history.
Version history with restore, no diff view, no branchingServer-persisted version history with restore, for solution-aware cloud flows only; no native visual diff/compare between versions; no explicit undo/redo in the flow editor; no branching model. The Version History panel lists timestamped snapshots and lets a user preview/restore a prior version as a new draft; desktop flows have a separate read-only version-comparison view. There is no branch-and-merge version control or in-editor undo/redo stack for cloud flows.
Realtime collaboration
No: Power Automate's cloud flow designer supports sharing a flow with co-owners and commenting on steps, but not live, concurrent multi-user editing with visible cursors and synced changes on the same flow. Microsoft's live coauthoring feature (visible cursors, simultaneous editing) exists for Power Apps Studio canvas apps, a separate product, not the Power Automate flow designer.. Power Automate flows are shared/co-owned (sequential editing, comments). Power Apps Studio, a different Power Platform product, has live coauthoring with cursors, but this is not documented for the Power Automate cloud flow designer itself.
Native file storage
Yes: a native Files area with folder hierarchy, link-based sharing (public, password, email OTP, or SSO auth), and a workspace-level Recently Deleted view covering workflows, tables, knowledge bases, files, and folders. Admins can restrict which share-auth modes (public/password/email/SSO) a permission group is allowed to use.
No: Power Automate has no file storage system of its own, no folder hierarchy, link-sharing, or recycle bin built into the product. File handling goes entirely through connectors to external services like SharePoint, OneDrive, or Dataverse, so those services' own sharing and recycle-bin features apply, not a Power Automate-native store.. File paths/links used in flows must point to an external SharePoint/OneDrive location; sharing-link mistakes are a documented common error, since there's no first-party file store inside Power Automate.
Sub-workflows (composition)
Yes: Power Automate supports child flows via the built-in "Run a Child Flow" action, which calls another flow as a step, waits for it to finish, and can pass inputs and receive its outputs back into the parent flow.. Child flows must use the "Manually trigger a flow" trigger and must be part of a solution to be callable this way; this is distinct from firing an independent flow asynchronously via HTTP/webhook.
Pricing
Pricing model
Credit-based billing, BYOK exempt from capsCredit-based usage billing (Stripe), with bring-your-own-key exemption from metered caps
Per-user/per-bot subscription tiers, billed annuallyPer-user/month and per-bot/month subscription tiers, billed annually, layered on top of Microsoft 365/Dynamics 365 licensing (some Power Automate capability is bundled into certain Microsoft 365 plans at limited scope). Three primary paid SKUs: Premium (per user), Process (per unattended bot), Hosted Process (per hosted unattended bot); plus a $5,000/tenant/month Process Mining add-on.
Entry paid plan
Pro plan at $25/user/monthPro: $25 per user/month
$15/user/month billed yearlyPower Automate Premium. $15.00 per user/month, billed yearly. Includes cloud flows, attended desktop flows (RPA), and process/task mining with limited storage (50 MB storage, 250 MB Dataverse database, 2 GB file capacity).
Free tier
30-day trial only, no permanent free tier30-day free trial of premium features (UI-based cloud flows and standard connectors), no permanent free tier on the official pricing page. Some Power Automate capability ships bundled inside certain Microsoft 365 subscriptions, but the dedicated Power Automate pricing page lists only a time-limited trial, not an ongoing free plan.
Bring your own key
Not publicly documentedNot publicly documented: no bring-your-own-key option exists for Power Automate/Copilot Studio AI features. Model selection (OpenAI, Anthropic, Azure AI Model Catalog) is admin-toggled at the tenant level via Microsoft-hosted model access, rather than a customer-supplied API key.
Security & compliance
SOC 2
SOC 2 Type 2 in-scope for Commercial and GCC onlyPower Automate is SOC 2 Type 2 in-scope for Commercial and GCC environments only. It is not in-scope for GCC High or DoD in that attestation, separate from the product's general availability in those government clouds.. Microsoft's compliance documentation lists Power Automate among in-scope Commercial/GCC services.
Data residency
Full control via self-hosting; Cloud region toggle is global, not per-customerFull data control via self-hosting (Docker/Kubernetes); data never leaves customer infrastructure when self-hosted. On Sim Cloud, async job execution has an internal US/EU region toggle, but it is deployment-wide, not a customer-selectable per-workspace residency option
Yes: environments/regions can be selected at creation to control where Dataverse and related customer data resides, with data kept within the chosen geography (Microsoft may replicate only within the same geographic area for resiliency). Per Microsoft's SOC 2 documentation on Office 365 environments (Commercial, GCC, GCC High, DoD) and Power Platform admin guidance on selecting environment region for residency.
Role-based access control
Yes: Dataverse role-based security roles control access to environment resources, apps, tables, and specific records; Environment Admin/Power Platform Admin roles govern DLP and environment-level administration. Security roles can be scoped to an entire environment or to specific apps/data; separate from Data Loss Prevention (DLP) policies which restrict which connectors can be combined in a flow.
Audit logging
Likely covered by M365 unified audit log, not confirmedNot fully confirmed: the Microsoft 365 unified audit log captures Power Platform admin and maker activity, but no dedicated documentation confirms flow-level audit logging specific to Power Automate. General Microsoft 365 audit logging likely covers Power Automate activity, but a Power Automate-specific audit logging reference does not exist.
Additional compliance
SOC2SOC2. Self-hosting is the primary lever Sim offers for data-residency-sensitive compliance needs beyond SOC2, rather than additional certifications.
HIPAA/BAA, CSA CCM, BSI C5:2020; ISO/FedRAMP at platform levelHIPAA/HITECH (Microsoft will sign a BAA as a business associate) and inclusion in the broader Office 365/Azure compliance program, which separately covers ISO 27001, FedRAMP, and other certifications at the Azure/Office 365 platform level. The SOC 2 Type 2 report also incorporates the Cloud Security Alliance CCM and German BSI C5:2020 criteria.. HIPAA/BAA support and CSA CCM/BSI C5:2020 coverage are documented directly in Microsoft's SOC 2 documentation. No Power Automate-specific ISO 27001/FedRAMP attestation page exists, so treat those two as platform-level coverage rather than product-specific certification.
Model & tool governance
Yes: enterprise "permission groups" let an admin allow-list/deny-list specific LLM providers and models, and separately deny specific tools/integrations (or disable all MCP or custom tools) per group, layered on top of workspace admin/write/read roles. This does not control whether an LLM provider retains prompts. Sim offers no "zero data retention" mode or governed AI gateway. A separate, Enterprise-gated feature lets orgs set a log-retention window and redact PII, but that only controls how long Sim itself keeps execution logs.
Not publicly documentedNot publicly documented. No dedicated model/tool governance controls exist for Power Automate agents beyond general DLP and security roles.
Credential governance
Yes: shared credentials (connected accounts, service accounts, workspace secrets) are their own nested permission level (Member/Admin) below organization and workspace roles, and enterprise permission groups can further allow-list specific integrations and restrict which file-share auth modes (public/password/email/SSO) a group may use. A user's personal environment variables/secrets are never shared or inherited by anyone, including org owners/admins.
No: Power Platform governs connectors through Data Loss Prevention (DLP) policies that classify entire connectors into Business/Non-Business/Blocked groups at the tenant or environment level, plus Advanced Connector Policies that can restrict specific connector actions/endpoints. This is connector- and action-level governance and does not let admins restrict which specific stored credential or connection a given role or permission group may use.. DLP policies and Advanced Connector Policies operate at the connector/action/endpoint level (e.g., block the SharePoint connector tenant-wide), not at the level of 'this role may only use credential X, not credential Y' for the same connector.
Single sign-on (SSO)
Yes: Power Platform is built on Microsoft Entra ID (Azure AD), which natively supports SAML/OIDC single sign-on plus automatic user/app provisioning (SAML Just-in-Time and SCIM-based). Organizations signing in via Entra ID SSO get org-level access without manual per-user account setup. Power Pages/portals additionally document explicit SAML 2.0 setup with Entra ID as an identity provider.. SSO/provisioning is inherited from the Microsoft 365/Entra ID tenant rather than a Power Automate-specific setting, standard for Microsoft's enterprise stack.
Vetted first-party integrations
Yes: every one of Sim's 302 blocks is first-party authored and code-reviewed through the standard pull-request process in the main Sim repository; there is no public marketplace where an arbitrary third party can publish and have other users install executable tool code without going through Sim's own review. Custom code steps run inside Sim's own isolated-vm sandbox rather than as an installable third-party skill package, so the supply-chain trust boundary is Sim's codebase review, not an open registry.
Certified catalog is vetted; custom connectors bypass review and DLPPartial: the certified connector catalog (1,400+ connectors, including third-party 'Independent Publisher' submissions) goes through a Microsoft Certification team review, identity/credential verification of the publisher, and swagger/endpoint/security validation before being listed. But any user or org can also build and share 'custom connectors' that call arbitrary APIs, bypassing the certification catalog entirely with no Microsoft security review. Zenity's security research found custom connectors can reach connectors otherwise blocked by Data Loss Prevention (DLP) policies, a documented DLP-bypass tied to the custom-connector path specifically.. This is not an open, install-anything marketplace like n8n community nodes: independent publishers must pass identity verification and a Microsoft-run technical/security review to appear in the shared connector catalog. The gap is the separate custom-connector mechanism, which lets any maker define and use an unreviewed connector inside their own environment, and which Zenity's research showed can be abused to bypass connector-level DLP blocks.
PII redaction
Yes, but as a block rather than a redaction: Microsoft Purview Data Loss Prevention (DLP) for Microsoft 365 Copilot (GA per Ignite 2025) scans Copilot prompts for sensitive content like SSNs and credit card numbers and blocks processing when it finds them. This protection extends to agents built in Copilot Studio, the Power Platform's agent surface. It stops sensitive content from being processed rather than redacting it in-line, and is not a feature built into Power Automate flows themselves.. This is Microsoft Purview functionality (a separate, integrated compliance product) covering Microsoft 365 Copilot and Copilot Studio agents; it blocks processing rather than performing in-line redaction, and is not a native Power Automate flow-content feature.
Custom data retention
Yes: Power Platform admins can configure the run-history retention (time-to-live) for cloud flow runs stored in Dataverse via the Power Platform admin center, choosing 28 days (default), 14 days, 7 days, or Disabled, and can set a fully custom retention value directly via the Dataverse Organization table's FlowRunTimeToLiveInSeconds field.. Configured per environment in the Power Platform admin center (Environments > Settings > Product > Features); custom values beyond the UI presets require a direct Dataverse table edit.
White-labeling
No: Power Platform offers only partial branding options, such as custom domains for Power Pages/portals, and lacks native white-labeling for the core app/flow UI. There is no native way to rebrand or remove Microsoft branding from canvas apps or the Power Apps/Power Automate product UI itself.. Custom domains exist only for Power Pages (portals), not for canvas apps, model-driven apps, or the Power Automate flow designer itself.
AI capabilities
Multi-LLM support
21 providers incl. OpenAI, Anthropic, Google, Bedrock21 provider integrations (OpenAI, Anthropic, Google/Gemini, Azure OpenAI, Azure Anthropic, Groq, Cerebras, Mistral, xAI, Bedrock, Vertex, Ollama, OpenRouter, and more). apps/sim/providers/models.ts defines 21 provider entries; openrouter/litellm/vllm/ollama resolve models dynamically at runtime rather than from a hardcoded model list.
Yes: Copilot Studio (the agent-building surface Power Automate integrates with) supports OpenAI GPT models plus Anthropic Claude Sonnet 4/Opus 4.1, and any model in the Azure AI Model Catalog, selectable per-prompt/per-agent; OpenAI remains the default. Admins enable/restrict Anthropic models tenant-wide in the Microsoft 365 Admin Center; if disabled, agents automatically fall back to the default OpenAI GPT-4o model. Google Gemini is not a supported option.
Agent reasoning blocks
Generative orchestration plus multi-agent routingCopilot Studio offers 'generative orchestration', autonomous, reasoning-driven tool/action selection, as an alternative to a fixed decision-tree/topic flow, plus multi-agent orchestration across specialized agents. Generative orchestration lets an agent choose actions dynamically instead of following a fixed topic flow, and multi-agent setups can route work to specialized agents, potentially using different models per task.
Natural-language building
Knowledge base / RAG
Yes: agents can be grounded via Retrieval-Augmented Generation over Dataverse tables, SharePoint/Office files, and connectors to systems like Salesforce/ServiceNow, using a semantic index with vector embeddings. Dataverse is positioned as the agent data platform: the same semantic search index powering Power Apps global search provides retrieval/grounding for Copilot, agents, and MCP tools.
MCP support
Yes: Copilot Studio agents can connect to external MCP servers as tools (public preview March 2025, GA May 2025), and Power Automate flows can themselves be exposed as MCP tools/resources. Requires generative orchestration to be enabled on the agent; tools/resources dynamically update as the connected MCP server changes.
Evaluation & guardrails
LLM-judge Evaluator plus Guardrails validation blockEvaluator block (LLM-judge scoring against user-defined named metrics) and Guardrails block (JSON validity, regex, RAG/hallucination scoring, PII detection/masking). These are per-call scoring/validation primitives, not a batch golden-dataset eval-suite runner or A/B prompt-testing harness.
No dedicated eval/guardrail framework foundNot publicly documented: Power Automate has no dedicated eval/guardrail testing framework for flows, distinct from Copilot Studio's general content moderation and data loss prevention controls. Data Loss Prevention policies restrict which connectors can be combined, but there is no dedicated LLM-output evaluation or guardrail testing harness specific to flows.
Human-in-the-loop
Yes: a dedicated 'Start and wait for an approval' action pauses the flow run until a designated approver responds via the Power Automate mobile app, email, or Microsoft Teams notification, then resumes down Approve/Reject/custom-response branches. Supports first-to-respond or everybody-must-approve modes, custom response options beyond approve/reject, and timeout/escalation branches for production-grade approval chains.
Generative media
Captioning and text gen only, no native image/audio generationPartial: AI Builder ships an image-description (captioning) model and GPT-based text generation/summarization prompts, but no dedicated native image-generation, video-generation, or text-to-speech/speech-to-text block exists in its catalog. Generating images or audio requires calling an external connector, such as Azure OpenAI DALL-E or Azure AI Speech, rather than a first-party AI Builder generative-media model.
Dynamic tool use
No: an Agent block calls tools the workflow author explicitly added to it at build time, rather than browsing and picking from a broader pool (e.g. an entire MCP server catalog) at inference time. Runtime MCP "discovery" exists to resolve/refresh the schema of an already-configured tool. The model does not browse or choose from the server's full tool list.
Not publicly documentedNot publicly documented. No confirmed information found on dynamic tool-selection behavior for Power Automate/Copilot Studio agents.
Automatic model fallback
No: a failed or rate-limited LLM call is retried using Sim's own hosted API keys for the same model, rather than automatically switching to a different model or provider. A "fallback" comment in the provider layer refers to rotating among Sim's own hosted API keys for the same model, not switching models.
Yes: Copilot Studio automatically falls back to the default OpenAI GPT-4o model when a selected alternate model (such as Anthropic Claude) is disabled or unavailable. This fallback behavior is documented for Copilot Studio's multi-model support; a separate confirmation specific to Power Automate flows was not found.
Agent skills
Yes: named, reusable "Agent Skills" (built on the open Agent Skills / SKILL.md format) that agents load on demand via progressive disclosure, editable in-app or imported from a SKILL.md file or GitHub URL. Only the skill name and description sit in the agent's system prompt (~50-100 tokens each); the full instructions load into context only when the agent calls load_skill.
Yes: Microsoft Copilot Studio (the Power Platform's agent-building surface) supports 'Skills', reusable capabilities defined once (name, description, Markdown instructions), exported as portable Markdown/ZIP packages, and reused across multiple agents, distinct from a one-off system prompt.. This is a preview feature in the new Copilot Studio agent experience (part of the Power Platform, adjacent to Power Automate); skills are self-contained instruction sets separate from tools/knowledge.
Native chat deployment
Yes: Copilot Studio, the Power Platform's agent-building tool that natively integrates with Power Automate (agents can trigger cloud flows), lets builders publish agents as a deployable chat surface, a website chat widget, Teams, and other channels, not just a form, API, or webhook.. Chat deployment lives in Copilot Studio rather than Power Automate proper, but the two products are integrated (flows can be triggered from or trigger Copilot Studio agents).
Parallel execution
Yes: a native Parallel block fans a run out into concurrent branches (fixed count or one per list item) and joins their results back into the workflow automatically. Contained blocks run concurrently instead of sequentially, either a fixed number of times or once per item in a list/collection, and each branch's output aggregates for downstream blocks.
Yes: a flow can add a dedicated 'Parallel branch' from any step, so multiple branches of actions execute concurrently rather than sequentially, and the flow only continues once all parallel branches complete. Power Automate supports up to 50 total branches (main path plus up to 49 parallel branches) in a single flow.. Added via the '+' icon between steps, then 'Add a parallel branch'; this is a native canvas feature, not a workaround using separate flows or a sequential loop.
Agent2Agent (A2A) protocol
No native support: Power Automate/Copilot Studio do not ship a first-party Agent2Agent (A2A) implementation. A third-party custom connector (built on the standard Custom Connector framework) can wrap an external A2A v1.0 agent's JSON-RPC or HTTP+JSON endpoints, and Microsoft has stated A2A is 'coming soon' to Azure AI Foundry and Copilot Studio as of mid-2026, but no built-in Agent Card discovery or native A2A peer-to-peer calling feature ships today.. The available A2A connectors, such as the community-built Agent2Agent/Power A2A Template connectors for Work IQ, are custom connectors that translate Power Platform requests into A2A protocol calls; they are not a native, first-party A2A feature in the Power Automate or Copilot Studio product surface.
Loop / iteration block
Yes: Power Automate provides built-in loop containers, the "Apply to each" action iterates over a list/array and the "Do until" action repeats a set of actions until a condition or state is met, each running its iterations sequentially by default.. Apply to each can optionally run with concurrency (parallel iteration) via a setting, but sequential execution is the default behavior; Do until requires a defined exit condition and has a configurable iteration/timeout limit.
Integrations
Integrations
302 blocks, ~3,900 tool actions302 first-party blocks, ~3,900 underlying tool actions. Sim's landing page cites "1,000+ integrations," a broader figure counting individual API actions rather than top-level blocks. Both numbers describe the same integration surface.
1,400+ certified connectors1,400+ certified connectors (per current Power Automate product page), up from the 1,000-connector milestone announced May 2023. Connectors span first-party, verified-publisher, and independent-publisher tiers, split into Standard and Premium.
Trigger types
Webhook, cron, chat, REST API, triggers for 61 appsWebhook, schedule/cron, chat, REST API, and event-based triggers for 61 apps (Slack, Gmail, GitHub, Stripe, etc.)
Connector, schedule, manual, webhook, Dataverse, desktop triggersConnector-event triggers (e.g., new email, new SharePoint item), scheduled/recurrence triggers, manual/button triggers (incl. Mobile), HTTP request/webhook triggers, Dataverse record-change triggers, and desktop-flow/UI-automation triggers. Trigger types span connector events, schedules, manual buttons, HTTP webhooks, Dataverse record changes, and desktop UI-automation events.
Custom code steps
Yes: custom connectors can wrap Azure Functions or any REST/SOAP API and optionally support uploaded code for request/response transformation. There is no generic 'run inline script' step in a standard cloud flow, though Power Automate for desktop supports scripting actions like PowerShell/VBScript.. Custom Connectors wrap a Web API or Azure Function; code upload in a custom connector applies transformation logic to requests/responses.
API publishing
HTTP-triggered flows act as callable API endpointsFlows can be triggered via HTTP Request triggers (effectively exposing a flow as a callable webhook/API endpoint); Dataverse/Power Platform also expose Web API endpoints for programmatic access. HTTP-triggered flows are a widely used pattern for exposing a flow as a lightweight API endpoint, and Dataverse/Power Platform separately expose Web API endpoints for programmatic access.
SDKs & extensibility
Custom connector SDK, pac CLI, open-source connector repoCustom connector SDK/framework (OpenAPI-based definitions, code plug-ins), Power Platform CLI (pac CLI) for solution/connector development, and the open-source PowerPlatformConnectors GitHub repo for community-contributed connector certification submissions. There is no separate marketplace of independently monetized third-party integrations distinct from the certified connector catalog.. microsoft/PowerPlatformConnectors is the public GitHub repo where community and partners submit connector definitions for certification into the shared Power Automate/Power Apps/Logic Apps connector catalog.
Publish as MCP server
No: Power Platform/Copilot Studio primarily consumes MCP servers (adding an existing MCP server's tools/resources to an agent), the reverse direction. Microsoft offers its own fixed 'Power Apps MCP Server' with a handful of predefined tools that agents call into, plus a Dataverse MCP connector, but no feature lets a builder publish an arbitrary custom Power Automate flow as its own callable MCP server for external AI tools to invoke.. Microsoft's own Power Apps MCP Server and a Dataverse MCP connector expose fixed, Microsoft-defined tool sets, distinct from a maker publishing a specific custom flow as its own MCP endpoint.
Observability & durability
Tracing & observability
Yes: execution logs include a per-block/per-span trace view (duration, cost, token counts, and latency stats like TTFT/TPS) with expandable nested iteration groups, plus a "View Snapshot" frozen copy of the workflow structure and block states at run time for debugging. This trace view is built directly into Sim rather than a raw export browsable in an external tool like Jaeger, and does not expose aggregate latency-percentile charts (p50/p95/p99). The run snapshot serves as a log-detail/debugging artifact rather than a resumable mid-run checkpoint.
Yes: per-run execution detail shows each action's inputs/outputs/duration/errors, plus a customer-facing Analytics dashboard summarizing run counts, success/failure rate, average execution time, and a 30-day rolling run history. The Analytics dashboard is available directly on a flow's details page; individual run details expose a per-action execution trace.
Durability & retries
Tool-call retries (up to 10x); single-attempt job orchestrationIndividual tool/API calls have configurable exponential-backoff retry (up to 10 attempts). The background job-orchestration layer itself retries only once by design. Durability instead comes from consecutive-failure tracking on schedules and the human-in-the-loop snapshot pause/resume mechanism. Sim does not offer guaranteed-once-only block execution, a failed-run holding queue for manual recovery, or a "replay a past execution with its original inputs" feature. The per-execution debugging snapshot serves as a log-detail artifact rather than a resumable mid-run checkpoint.
Yes: configurable retry policies with exponential backoff on individual actions, and flow run history (including a Dataverse-backed FlowRun table option) that lets a user review a past run's inputs/outputs; resubmission/resubmit-from-history is a documented pattern for reprocessing a failed run. Retry policies are set per-action with configurable interval/count and exponential backoff; run history in Dataverse's FlowRun table records start/end time, duration, status, and error detail for large-scale tracking.
Failure alerting
Yes: per-run failure alert emails for known fixable issues (with a 28-day cooldown per flow) plus a weekly failure digest email summarizing all flow failures across environments. Per-run alerts fire shortly after a failure is detected as a known/fixable issue; separately, a weekly digest covers all failures regardless of type.
Data drains
Yes: Enterprise orgs can continuously export workflow logs, job logs, or audit logs on a schedule to a customer-owned S3 bucket, GCS bucket, Azure Blob container, BigQuery table, Snowflake table, Datadog logs intake, or an HTTPS webhook. Each drain exports exactly one data source; multiple drains are created to export multiple sources. Viewing drain config/run history is restricted to org owners/admins.
Yes: Power Platform supports continuous export of activity/audit logs to external destinations via the Microsoft Sentinel solution for Power Platform, built on Azure Monitor/Log Analytics with roughly a 60-minute ingestion delay, and more broadly, any log sink that accepts Azure Monitor/Log Analytics data. Audit logs are also searchable in the Microsoft Purview/Office 365 Security & Compliance Center.. This is achieved via the dedicated Microsoft Sentinel solution for Power Platform/Dynamics 365, not a generic user-configurable webhook/S3/BigQuery export built into Power Automate itself.
Async execution
Yes: a workflow can be triggered in fire-and-forget async mode, returning HTTP 202 with a job ID immediately, then polled via a dedicated jobs endpoint through queued/processing/completed/failed states. Async jobs are tracked via polling the job endpoint rather than a completion webhook/callback option.
Yes: Power Automate supports asynchronous execution. A flow can respond with an HTTP 202 status code plus a Location header pointing to a status-check URL, letting the caller poll for the result instead of blocking, and long-running actions can use an asynchronous polling pattern (or an Until loop) instead of a synchronous call.. Configured by enabling 'Asynchronous response' on a Response action; inbound HTTP-triggered flows still must return within 120 seconds, but actions after a response action, or separately started child flows, continue running in the background beyond that limit.
Execution limits
5-50 min sync timeout, 90 min async, 15-300 concurrentPlan-gated: synchronous API calls time out at 5 minutes on the free plan and 50 minutes on paid plans, async calls at 90 minutes on every plan, with 15 to 300 concurrent executions per billing entity depending on plan. These limits are not published in docs; request bodies are separately capped at 10 MB.
30-day max run, 120s HTTP timeout, 1-100 concurrencyA single flow run may last up to 30 days, after which pending steps like approvals time out. An outbound synchronous HTTP request times out at 120 seconds, while an outbound asynchronous request is configurable up to 30 days. An inbound HTTP-triggered flow must return a response within 120 seconds. Concurrent runs per flow are unlimited by default, or capped between 1 and 100 (default 25) if Concurrency Control is turned on, with a waiting-runs queue of 10 plus the configured degree of parallelism.. Additional caps: Power Platform requests are limited to 100,000 per 5 minutes and 10,000 to 10,000,000 per 24 hours depending on license tier; concurrent outbound calls are capped at 500 (Low tier) or 2,500 (other tiers); flows throttled for 14 consecutive days are automatically turned off.
Partial-failure handling
Yes: Power Automate lets a single failing step be routed to an error-handling path while the rest of the run continues, via the 'Configure run after' setting on each action, which can be set to trigger on 'has failed', 'is skipped', or 'has timed out' in addition to the default 'is successful'.. This lets a designer branch to a notification, logging, or retry action after a failure and continue the flow, rather than having any single failure always halt the entire run; scopes are also commonly used to group a try/catch-style block.
Support
Support channels
Community support plus Enterprise 'Dedicated Support'Community (open source, GitHub) plus an unquantified "Dedicated Support" flag on the Enterprise plan. Enterprise and pricing pages do not include CSM, onboarding/enablement, or professional-services details beyond a plan-comparison-table "Dedicated Support" flag.
Docs, community forum, and paid Microsoft support plansDocumentation via Microsoft Learn, the large Power Users community forum, and paid Microsoft support plans. Enterprise customers typically get support through their Microsoft account or Unified Support contract.. Drawn from Microsoft's broader support ecosystem and the active Power Platform community forum, rather than a single Power Automate-specific support-tier page.
SLA
No product-specific SLA foundNot publicly documented: Power Automate does not publish a product-specific SLA, though Microsoft publishes general Online Services SLAs. No Power Automate-specific uptime percentage exists; Microsoft's general Online Services SLA terms would apply.
Community
100,000+ buildersOver 100,000 builders use Sim
Large, active Power Platform community forumLarge. Active official Power Platform/Power Users community forums with structured Q&A on building, approvals, and troubleshooting flows. Multiple community threads on powerusers.microsoft.com cover real production troubleshooting scenarios, such as restoring flow versions, showing an active, Microsoft-hosted community forum.
Academy / training
Yes: Microsoft Learn provides structured, self-paced training paths and official certifications for Power Automate and the broader Power Platform, including the Microsoft Certified: Power Platform Fundamentals (PL-900) and Power Platform Developer Associate certifications, plus dedicated Power Automate learning modules and instructor-led courses.. Delivered through Microsoft Learn's training paths and official Microsoft Certified credentials, a substantial structured-education program.
Sim standout features
AI Copilot / Chat agent-building surface
Chat and in-editor Copilot suggest and build workflow changes directly.
A natural-language surface (Chat) and in-editor Copilot that can explain, suggest, and build workflow changes directly, backed by a dedicated copilot module with its own tool registry.Hybrid semantic + keyword knowledge base
Combines vector and full-text search with configurable chunking across 11 file formats.
Built-in RAG with pgvector embeddings and a generated tsvector column for combined vector + full-text search, plus a token-based chunker with configurable chunk size/overlap and 11 supported file formats (csv, doc, docx, html, json, md, pdf, pptx, txt, xlsx, yaml).Native MCP client and server
Call external MCP servers as tools, or expose Sim workflows as an MCP server.
A dedicated MCP block lets any workflow call external MCP servers as a tool, and a serve/workflow-servers API surface lets Sim expose its own workflows as MCP servers.Fork a workspace into dev, qa, and prod environments
Fork, diff, and promote environments with mandatory credential remapping.
Fork a whole workspace into a dev/qa/prod-style child environment, preview a diff, and promote changes bidirectionally. Credential and env-var remapping is required on every promote, so secrets never cross environments silently.Human-in-the-loop approvals with durable resume
Pause a run for human approval and resume later via a durable snapshot link.
A dedicated block pauses a run and waits for a human-submitted approval form, backed by persisted execution snapshots so the run can resume later via a link, even after a server restart.Self-hostable under Apache 2.0
Fully open source with Docker Compose and Helm deployment options.
Fully open source (Apache 2.0), with Docker Compose files and a Helm chart for Kubernetes deployment, alongside a managed cloud-hosted option.Documented Microsoft Power Automate limitations
No native side-by-side version diff/compare view
No built-in visual diff between two flow versions.
Power Automate has version history with restore, but no built-in visual diff between two flow versions. Teams export both definitions and run a manual text diff in an external tool like VS Code to see what changed.No dedicated built-in image/video/audio generation blocks
Image and audio generation require calling an external connector.
AI Builder ships prebuilt models for document processing, prediction, image description (captioning), and GPT-based text/prompt generation, but no dedicated image-generation, video-generation, or text-to-speech/speech-to-text action exists in its catalog. Image and audio generation require calling external connectors like Azure OpenAI DALL-E or Azure AI Speech rather than a first-party AI Builder block.Solution-aware versioning/ALM features gated to Dataverse solutions
Version history and environment promotion only work inside a Dataverse solution.
Version history, environment promotion via pipelines, and environment variables only apply to 'solution-aware' cloud flows inside a Dataverse solution. Flows created outside a solution (a common default for individual makers) lack this ALM tooling.Pricing is per-user/per-bot with a steep jump to unattended RPA
Unattended RPA jumps to $150-$215 per bot/month, well above the base plan.
Premium (per-user cloud/attended RPA) is $15/user/month, but unattended desktop RPA (Process plan) jumps to $150/bot/month, and Microsoft-hosted unattended bots cost $215/bot/month, a much higher cost tier for any fully automated scenario with no human at the desktop.Bottom line
Choose Sim if you want an open-source, self-hostable AI workspace that treats AI agents as first-class citizens: native multi-LLM support, real-time multiplayer editing, environment promotion (dev/qa/prod), human-in-the-loop approvals, and enterprise governance (SSO, credential-level permissions, audit logs) built in rather than bolted on.
Choose Microsoft Power Automate if you specifically need native Microsoft 365/Dataverse RPA + cloud flow combination: Power Automate combines attended/unattended desktop RPA (legacy app automation) with cloud connector flows and Dataverse-grounded agents in one licensed product family, automating a legacy desktop app and a modern SaaS API on the same platform.
Frequently asked questions
Sim is an open-source AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Microsoft Power Automate is a low-code cloud automation service in the Power Platform. It builds cloud flows (connector-based triggers/actions), desktop flows (RPA), and AI-assisted/agentic workflows using 1,400+ connectors and Copilot/AI Builder. Teams considering a switch typically weigh licensing (Sim is Apache 2.0 and self-hostable), pricing model, and how AI-native the platform's agent-building experience is.