Dataiku vs Nebius Group
Relationship
Dataiku and Managed Service for MLflow do comparable work on model training; both also serve buyers who need to train or fine-tune a model; larger scale (public).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 8 capabilities — Shares evaluation and observability, model inference and model training.
Ludbee capability tags · from the product recordsShared product type — Both ship infrastructure service.
Ludbee product recordsLarger scale — Nebius Group: $61.6B market cap, against Dataiku's $3.7B valuation.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Nebius Group · 5
Recorded for Dataiku. Nebius Group’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Dataiku · 2
Recorded for Nebius Group. Dataiku’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Dataiku
Infrastructure service
Cross-platform governance product that discovers every AI agent an enterprise is running -- on Microsoft Copilot Studio, Azure Foundry, Salesforce Agentforce, AWS Bedrock, Google Vertex, Databricks, Snowflake Cortex, n8n or Dataiku itself -- measures each agent's business and technical performance, and flags the ones that pose the greatest risk. Announced 2026-09-24; distinct from Dataiku Agent Hub, which creates and operationalizes agents rather than discovering and governing agents built anywhere.
Control layer over the Dataiku LLM Mesh that caps LLM spend, screens prompts and outputs for sensitive or malicious content, and scores model output quality.
Centralised gateway that routes, meters and governs an organisation's connections to multiple LLM providers from inside the Dataiku platform.
Nebius Group
Infrastructure service
Nebius-managed Kubernetes operator that runs Slurm clusters on GPU infrastructure for fault-tolerant large-scale AI training, with topology-aware scheduling and automatic node health checks and recovery.
Rented GPU clusters with storage and networking for training and serving models, billed by the GPU-hour.
Nebius AI Cloud's on-demand GPU runtime that runs containerised AI workloads as Jobs and hosts custom models behind HTTP Endpoints without provisioning or managing clusters.
No counterpart
Dataiku sells these in a stack layer with no product recorded for Nebius Group yet — nothing on the other side to compare them against.
AI agent
AI building agent that turns a business objective written in plain language into a governed Dataiku project of data pipelines, models, agents and applications rendered as an editable visual workflow.
Agent platform
Centralised control plane inside the Dataiku platform for creating, orchestrating, deploying and tracking AI agents across teams.
Expert-to-Agent engine that converts subject-matter-expert know-how into governed AI agents grounded in enterprise data with structured reasoning and human oversight.
Platform
Platform for building, deploying and governing data, machine-learning and agent workflows across an organisation.
Nebius Group sells these in a stack layer with no product recorded for Dataiku yet — nothing on the other side to compare them against.
Developer tool
Fully managed MLflow deployment on Nebius AI Cloud for tracking experiments, metrics and artifacts across the machine-learning lifecycle without maintaining tracking-server infrastructure.
Model API
Managed inference endpoint serving open-weight models on Nebius hardware, billed per token.