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Facts checked against both vendors on September 28, 2026.
Dataiku is the better choice for organizations where analysts, engineers and data scientists collaborate on data preparation, pipelines and models in one visual and code workspace, and it is the only one of the two with a free self-hosted edition. DataRobot is the better choice when the priority is automated modeling, agent building and governed deployment across many models, backed by a 30-day full-access trial. Both are quote-based; the difference is whether you are buying a collaborative data platform or an AI production and governance platform.
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results...
Dataiku and DataRobot are both enterprise AI platforms that grew from different starting points. Dataiku began as a collaborative data science workspace with visual recipes and notebooks, and has added AutoML, an LLM Mesh and visual and code agents. DataRobot began as automated machine learning and has added generative AI, agent building, observability and governance. Both now claim the full lifecycle from data to deployed agent.
A buyer should ask who will use the platform every day. Dataiku assumes a mixed team sharing one project. DataRobot assumes a team that wants models and agents built, deployed and monitored with as little manual work as possible, under controls that satisfy IT and risk.
Dataiku's product page describes an integrated platform with visual and code recipes for transforming data through a visual interface or Python, R and SQL; Visual ML and AutoML that let "analysts and data scientists build, validate, and compare models using code-free and assisted workflows"; and full-code frameworks for advanced users. For generative AI it offers Visual Agents and Code Agents to "build structured, multi-step agents using visual logic blocks or full-code frameworks," an Agent Hub with multi-agent orchestration, and the Dataiku LLM Mesh, which provides "centralized routing, quotas, monitoring, and safety controls" over language models. Governance includes a model registry with approval workflows, lineage and monitoring, a unified Flow with deployment automation to APIs, batch scoring or pipelines, and continuous monitoring of drift, bias, LLM usage, cost and performance. Dataiku runs on Snowflake, Databricks, Redshift, S3 and APIs, as Dataiku Cloud or self-managed on SQL, Spark, Kubernetes or GPUs.
DataRobot's platform page positions it to "develop, deliver, and govern AI solutions" across Agentic AI, Generative AI, Predictive AI, AI Governance, AI Observability and AI Foundation, deployed on-premise, in a virtual private cloud or as SaaS. Its home page emphasizes building enterprise agents from customizable blueprints and operating them across edge, cloud or on-premise environments with governance controls, and names SAP and NVIDIA integrations. Its documentation references a Workbench for predictive modeling, an Agentic AI section, developer docs and an API, plus a self-managed version. The trial page lists an agent builder, AutoML, a GenAI workbench, a choice of LLMs and vector databases, low-code or code-first development and application templates.
Dataiku does not publish prices for its enterprise editions; its plans page directs buyers to a trial or a demo, so pricing is quote-based. It offers two free ways in. The 14-day Dataiku Cloud trial, per its get-started page, provides a fully managed instance with all features except Govern and advanced LLM Mesh, no credit card, one API service, 4 CPUs and 32 GiB of elastic compute; the editions page says up to five people can be invited. After 14 days the instance is deactivated unless extended by support or converted to a paid plan. Separately, the Free Edition installs on Mac, Linux or Windows (experimental) for "full infrastructure control," and Dataiku's editions page describes it as supporting up to three people.
DataRobot does not publish prices either. Its pricing page offers a trial, a demo request and a login, so pricing is quote-based. The trial is the entry point: DataRobot describes 30 days of full platform access with no contract, with the agent builder, AutoML and GenAI workbench unlocked, a choice of LLMs and vector databases, low-code or code-first development, app templates and community support. There is no permanent free edition.
Dataiku wins on collaboration and on the data engineering half of the job. The visual Flow with recipes in a point-and-click interface or in Python, R and SQL lets an analyst and an engineer work on the same pipeline, and the platform pushes computation down to Snowflake, Databricks, Redshift, Spark or Kubernetes rather than moving data out. If most of your effort is preparing, joining and scheduling data before any model exists, Dataiku is built for that; DataRobot's materials focus on what happens once data is ready.
It also wins on low-cost entry. A self-hosted Free Edition for a small team and a 14-day managed cloud trial mean a department can adopt Dataiku without a purchase order, and a self-managed installation keeps data on your infrastructure from day one. The LLM Mesh is a distinct advantage for organizations juggling several model providers: central routing, quotas and cost monitoring is what a platform team wants before agents multiply.
DataRobot wins on automation, agents and governance as a system of record. Its AutoML and agent builder are designed to take a team from data to a deployed, monitored model or agent quickly, and its observability and governance layers are marketed to IT, security and risk teams as much as to data scientists. If your organization must demonstrate how every model and agent was built, approved and monitored, platform-wide governance is DataRobot's central pitch.
The trial is more generous in scope: 30 days of full access compared with Dataiku's 14 days without Govern and advanced LLM Mesh. DataRobot's stated ability to operate agents at the edge as well as in cloud and on-premise environments, with its SAP and NVIDIA integrations, speaks to enterprises with industrial or embedded use cases.
Pick Dataiku if your platform must serve business analysts alongside engineers and data scientists, if data preparation and pipelines are a large share of the work, if you want to run on your existing warehouse or lakehouse, or if you want to start free with a self-hosted edition. It is also the stronger choice for central control over multiple LLM providers through the LLM Mesh.
Pick DataRobot if your goal is a governed production environment for many models and agents, your stakeholders include IT and risk, and you want to prove the platform over a 30-day trial with everything unlocked. Both vendors price by quote, so arrive with a defined workload and a headcount, ideally built during the two free trials.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Pricing is quote-based; Dataiku publishes no enterprise prices. A 14-day Dataiku Cloud trial (no credit card, all features except Govern and advanced LLM Mesh, 4 CPUs and 32 GiB of compute) and a self-hosted Free Edition for a small team are available at no cost.
Pricing is quote-based; DataRobot publishes no plan prices. A free trial gives 30 days of full platform access, including the agent builder, AutoML and GenAI workbench, with no contract.