Agentic Index

Dataiku vs OutSystems (2026)

Dataiku last verified ·OutSystems last verified

Dataiku and OutSystems both let enterprises build and govern agents, from opposite starting assets. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Dataiku comes from the data and machine learning platform, adding an agentic layer for building and governing agents, a Free Edition and a 14 day cloud trial, then enterprise. OutSystems comes from low code application development, with an Agent Workbench for building, testing, orchestrating and governing agents on existing systems, plus an Enterprise Context Graph and a golden dataset evaluation suite. Dataiku suits agents that mostly reason over data, and OutSystems suits agents that mostly act inside applications.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Dataiku and OutSystems 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 the one building, and the data platform is where they live.
  • Agents reasoning over models and datasets is the primary use case.
  • A Free Edition lets the team start without procurement.

Choose OutSystems if

  • Agents acting inside applications and existing systems is the work.
  • A golden dataset evaluation suite is how you would prove readiness before shipping.
  • Sovereign deployment options are a requirement.
Feature
D
Dataiku
O
OutSystems
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

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.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
D
Dataiku
O
OutSystems

Entry price

Lowest public entry point

Free Edition and a 14 day cloud trial. Paid editions are quoted by sales. Free tier to start building. Production enterprise pricing is quoted, scaled to applications, agents, users and environments.

Pricing confidence

How public the numbers are

Public, partial Contact only

Billing

Primary billing axis

Paid editions are priced by number of users and by the platform capabilities enabled. Enterprise engagements are quoted and scaled to applications, agents, users and environments.

Variable cost

Workload / overage exposure

Medium variable cost High variable cost

Free tier / trial

Try before you buy

Free tierTrial
Free tierTrial

Buying motion

Self-serve vs sales call

Sales call Mixed

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Dataiku

  • · 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

OutSystems

  • · MCP / tool calling / API

    OutSystems MCP, a remote MCP server for OutSystems Developer Cloud, is now generally available on every ODC tenant.

    Source

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