Agentic Index
Dataiku vs UiPath (2026)
Dataiku last verified ·UiPath last verified
Both orchestrate agents at enterprise scale from opposite starting assets. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
UiPath comes from automation, orchestrating agents, robots and people with Maestro, self healing and the AI Trust Layer. Dataiku comes from data science and machine learning, adding an agentic layer for building and governing agents, a Free Edition and a 14 day cloud trial, then enterprise. UiPath is stronger where the work is a process, and Dataiku is stronger where the work is a model.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Dataiku and UiPath are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Dataiku if
- Your data science team is building the agents and the platform is where they already work.
- Agents reasoning over models and datasets is the primary use case.
- A Free Edition lets the team start without procurement.
Choose UiPath if
- UiPath documents all 14 capabilities and process automation is the work.
- Robots alongside agents is what your estate requires.
- The AI Trust Layer is the governance framework your risk function will recognize.
| Feature | D Dataiku |
U UiPath |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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DataikuIntegrations & Tool Calling Agents call managed tools, API endpoints, OpenAPI specs, local and remote MCP servers, Knowledge Bank search, LLM Mesh queries, web search, inline code and plugin tools, over connections secured per group. Sourcedoc.dataiku.com/dss/latest/agents/index.htmlread 2026-09-27 |
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UiPathIntegrations & Tool Calling Tools connect an agent's reasoning to real actions, giving it access to data in business applications and the ability to execute functions, and an agent can only act through tools it has been explicitly granted, described in the system prompt with when to use them. Integration Service adds an MCP Connector that lets workflows call tools from any compatible MCP server as a native activity, Database Hub to read and write systems such as SQL Server, Oracle and Databricks without custom code, and Relay to reach on premises systems from cloud automations. Sourcedocs.uipath.com/agents (agent tools) and uipath.com/newsroom/uipath-platform-updates-fusionread 2026-10-24 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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DataikuWorkflow Orchestration Structured visual agents define sequences with routing, delegation to other agents, parallel and for each branches, agentic loops and reflection blocks, alongside code agents and external agents from Snowflake Cortex, Databricks, AWS Bedrock and Google Vertex AI; Agent Hub can orchestrate a query across several agents. Sourcedoc.dataiku.com/dss/latest/agents/structured-visual-agents/index.htmlread 2026-09-27 |
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UiPathWorkflow Orchestration UiPath orchestrates agents of every origin, UiPath system agents, low-code agents, coded agents and external agents, inside one platform, where agents work alongside activities, other agents, apps, human tasks and Maestro for business process orchestration, and are managed, scheduled and monitored through Orchestrator. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide/agent-capabilities-in-the-uipath-platform.mdread 2026-09-18 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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DataikuTriggers & Channel Coverage Agents run inside automation scenarios, which start on time based, dataset change, SQL query change, scenario completion or Python triggers without a person, and users reach agents in Slack (DM or mention), Microsoft Teams, Agent Hub, Agent Chat and through APIs. Sourcedoc.dataiku.com/dss/latest/scenarios/index.htmlread 2026-09-27 |
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UiPathTriggers & Channel Coverage Agents deploy as processes in Orchestrator, which schedules and launches jobs through time triggers at regular intervals and queue triggers that start the automation whenever new items are added to a queue, so agents run without anyone asking. Sourcedocs.uipath.com/orchestrator/automation-cloud/latest/user-guide/about-triggers.mdread 2026-09-18 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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DataikuKnowledge Grounding & RAG Knowledge Banks embed datasets and documents into vector stores that agents search through a Knowledge Bank Search tool with static, dynamic and agent inferred filters and document level security, with GraphRAG and automated RAG optimization also documented. Sourcedoc.dataiku.com/dss/latest/agents/tools/knowledge-bank-search.htmlread 2026-09-27 |
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UiPathKnowledge Grounding & RAG An index added as agent context gives the agent access to a permissioned knowledge base of the customer's own content, and the builder configures the search strategy and scope that decide what the agent retrieves. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide/agent-contexts.mdread 2026-09-18 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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DataikuMemory & State Persistence Long term memory blocks store facts, such as preferences, and episodes from past conversations in memory banks, kept separately per user, shared by agents in a project through a default bank or split into named banks, and retrieved by LLM filtering and semantic search in later conversations. No retention period or delete path is stated. Sourcedoc.dataiku.com/dss/latest/agents/structured-visual-agents/blocks/long-term-memory.htmlread 2026-09-27 |
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UiPathMemory & State Persistence Agent memory, in preview, keeps memory spaces that several agents can share. Episodic memory holds the inputs, outputs and outcomes of past cases with the feedback attached to them, and items enter it when a person promotes feedback from an agent run. Escalation memory stores how a person resolved an escalation in Action Center. Before each run a recall step embeds the current inputs, finds similar items and adds them to the agent's context as examples, and before raising an escalation the agent checks for a matching resolution. Memory items can be inspected, edited and deleted from the Memory spaces tab. Nothing is written to memory by the agent on its own, and no retention period or expiry is stated. Sourcedocs.uipath.com agents user guide, agent memoryread 2026-10-25 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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DataikuHuman Oversight & Guardrails Human approval set on a tool makes a visual agent pause before calling it and ask the user to confirm, optionally letting the person reviewing edit the tool inputs (not inside For Each, Parallel or Reflection sub sequences), and guardrails cover PII, prompt injection, toxicity, topic boundaries and bias. Sourcedoc.dataiku.com/dss/latest/agents/tools/human-approval.htmlread 2026-09-27 |
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UiPathHuman Oversight & Guardrails Escalations, powered by Action apps in Action Center, let a developer have the agent validate business details with a person before running a tool, request approval, or ask for manual assistance on a business exception. Each escalation carries a prompt that tells the agent when to raise it, and is routed to a specific user, to the least-loaded member of a group, to all group members, or round robin. Runtime Checker validates agent behavior against defined policies while the agent is running, not only when it was built, and an LLM as judge guardrail evaluates outputs against custom criteria. Sourcedocs.uipath.com/agents (agent escalations) and uipath.com/newsroom/uipath-platform-updates-fusionread 2026-10-24 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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DataikuSecurity, Identity & Governance Dataiku offers SSO through SAML, OIDC, LDAP and Kerberos, MFA, user profiles, per project group and user permissions, connection security, user secrets and an audit trail. Its trust page lists ISO 27001:2022, ISO 27701, ISO 42001 and ISO 9001 certification, SOC 1 and SOC 2 Type II for Dataiku Cloud, and a HIPAA report. Sourcedataiku.com/legal/trustread 2026-09-27 |
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UiPathSecurity, Identity & Governance UiPath's trust portal publishes a SOC 2 Type 2 report, an ISO 27001 certificate, a HITRUST certificate, C5, IRAP, HIPAA and Spain's ENS certificate of conformity. The customer-facing controls on the agent layer are Automation Ops policies applied through the AI Trust Layer at tenant level, which control whether users can access and use agents across the organization. Sourcetrust.uipath.comread 2026-09-18 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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DataikuObservability & Auditability Every LLM Mesh call returns a nested trace of the agent's LLM calls, guardrail steps, inputs, outputs, tokens and cost, viewed in the Trace Explorer (tree, timeline and explorer views), and the evaluation trajectory explorer replays tool calls in order; an audit trail records user actions. Sourcedoc.dataiku.com/dss/latest/agents/tracing.htmlread 2026-09-27 |
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UiPathObservability & Auditability Every agent run leaves a trace, a detailed record of the steps taken, data processed, decisions made and results generated, with timestamps, errors, inputs and outputs, so a failed tool call can be inspected at the exact step with its inputs, outputs and error. UiPath positions traces for debugging, performance analysis of latency, errors and throughput, and compliance and auditing as a verifiable record of what the agent did, when and how. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide/agent-traces.mdread 2026-09-18 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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DataikuDeployment & Data Residency Dataiku runs as fully managed Dataiku Cloud or is installed on the customer's own infrastructure (Linux, macOS, experimental Windows) with hybrid options through sales, with installation, cloud and container deployment guides; locally running Hugging Face models keep inference in house. Sourcedataiku.com/product/get-startedread 2026-09-27 |
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UiPathDeployment & Data Residency UiPath comes in two delivery models, Automation Cloud, its cloud service, and Automation Suite, which runs the platform on the customer's own premises, each with its own documentation set. Automation Suite now runs on Linux with the full agentic AI stack, so agents, robots and people work inside infrastructure the enterprise already operates. Sourcedocs.uipath.com/llms.txt and uipath.com/newsroom/uipath-platform-updates-fusionread 2026-10-24 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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DataikuPrebuilt Agents, Templates & Packs Dataiku Solutions include named GenAI and agent solutions for separate jobs, Dynamic Selling Assistant, Supplier Management Assistant, Clinical Trial Intelligence Assistant, Medical Entity Extraction Assistant and Agentic Insights; Agent Hub distributes an organization's own governed agents and prompt library. Sourceknowledge.dataiku.com/latest/solutions/index.htmlread 2026-09-27 |
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UiPathPrebuilt Agents, Templates & Packs UiPath ships agent templates, available on the Agents page in Automation Cloud and in UiPath Marketplace, each preconfigured for a specific task with a system prompt, activity tools with descriptions and starter evaluation sets, needing only minimum configuration to run and open to modification. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide/using-agent-templates.mdread 2026-09-18 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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DataikuModel Flexibility & Routing Administrators define LLM Mesh connections to OpenAI, Azure OpenAI, Anthropic, AWS Bedrock and SageMaker, Microsoft Foundry, Google Vertex, Mistral, Cohere, NVIDIA NIM, Snowflake Cortex, Databricks foundation model APIs and locally running Hugging Face models, and agents pick from them, with cost control and rate limiting documented. Sourcedoc.dataiku.com/dss/latest/generative-ai/llm-connections.htmlread 2026-09-27 |
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UiPathModel Flexibility & Routing The builder chooses the model for each agent at design time and refines that choice once evaluations show how different models perform on accuracy, stability, speed and cost, and a custom model can be configured for Context Grounding through the admin guide's LLM configuration. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide/choosing-the-best-model-for-your-agent.mdread 2026-09-18 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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DataikuAPIs, SDKs & MCP Extensibility Agents are exposed as A2A servers at a per agent public API endpoint with well known URI discovery and bearer API key auth, in JSON-RPC and SSE modes, beside a documented MCP server, the public REST API, the Python API and LangChain integration on developer.dataiku.com, and a plugin system. Sourcedoc.dataiku.com/dss/latest/agents/a2a.htmlread 2026-09-27 |
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UiPathAPIs, SDKs & MCP Extensibility With a UiPath SDK, developers build coded agents in their own IDE, package them and deploy them to Orchestrator as standard packages, where they run as processes under the same governance as other automations, and they can connect the project to Studio Web for debugging, evaluation and publishing. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide/about-coded-agents.mdread 2026-09-18 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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DataikuTesting, Debugging & Optimization The Evaluate Agent recipe scores answers and the path taken, with ordered and unordered tool call checks, RAGAS based LLM judges, BERTScore and custom metrics, stores results for side by side version comparison, and Agent Review lets builders and SMEs run test cases against an agent version with human verdicts overriding the judge. Sourcedoc.dataiku.com/dss/latest/agents/evaluation.htmlread 2026-09-27 |
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UiPathTesting, Debugging & Optimization Evaluations check agents against defined cases before and during release. An evaluation pairs an input with an evaluator that checks the agent's output or trajectory against the expected result, evaluation sets group evaluations, and each run produces a score from 0 to 100 with traces of the evaluation runs to diagnose failures and re-run. Evaluations can be created from correct past runs, and evaluation results guide model choice. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide/agent-evaluations.mdread 2026-09-18 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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DataikuBrowser & Computer Use The agent tool list covers APIs, MCP, knowledge search, code and an LLM side web search tool, with no browser or computer use tool documented. Sourcedoc.dataiku.com/dss/latest/agents/index.htmlread 2026-09-27 |
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UiPathBrowser & Computer Use Robots operate real application interfaces in attended and unattended automation, and Healing Agent autonomously detects and recovers from UI automation failures caused by changing interfaces, network throughput and evolving UI frameworks, using just-in-time analysis of the automation to choose a recovery strategy. Sourcedocs.uipath.com/agents/automation-cloud/latest/user-guide-ha/what-is-healing-agent.mdread 2026-09-18 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Dataiku |
U UiPath |
|---|---|---|
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Entry price Lowest public entry point |
Free Edition and a 14 day cloud trial. Paid editions are quoted by sales. | Basic starts at $25 per month, and Standard and Enterprise are quoted by sales. The Community plan is free, and Autopilot is included in the platform license. |
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Pricing confidence How public the numbers are |
Public, partial | Public, partial |
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Billing Primary billing axis |
Paid editions are priced by number of users and by the platform capabilities enabled. | Consumption and role based licensing, across robots, agents and platform units. |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
Free tierTrial
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Free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Dataiku
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· MCP / tool calling / API
Headless is a new plugin and MCP server that lets coding agents such as Claude Code, Codex and Cursor create and change Dataiku projects, including pipelines, models, dashboards and agents, by handing the build to Cobuild.
Source -
· Human approval / guardrails
DSS 15.1.0 adds a Plan mode to Cobuild, Dataiku's natural language build agent, which proposes a set of high level tasks that users review and refine before the build starts.
Source -
· Integrations
Dataiku launched Cobuild on Snowflake, which combines Snowflake Cortex AI's model access with Dataiku's orchestration layer so users can build and validate AI workflows and agents in plain language.
Source
UiPath
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· Agent capability
Autopilot Chat returns to Orchestrator and now works directly on the customer's tenant instead of only answering questions.
Source -
· Workflow orchestration
Building Maestro BPMN processes with a coding agent is now in public preview in UiPath for Coding Agents.
Source -
· Human approval / guardrails
Administrators can now bring their own safety vendor into UiPath's AI Trust Layer, in preview, so agent guardrails run under the customer's own vendor agreement and region.
Source
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