Dataiku vs Fireworks AI
Relationship
Dataiku LLM Mesh and Fireworks Nexus both serve buyers who need to build on a hosted model API; larger scale (private); ships API service and model API rather than the same layer.
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 agent orchestration, model inference and model training.
Ludbee capability tags · from the product recordsDifferent layer — Fireworks AI ships API service and model API, not the same layer.
Ludbee product recordsLarger scale — Fireworks AI: $17.5B valuation, against Dataiku's $3.7B valuation.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Fireworks AI · 5
Recorded for Dataiku. Fireworks AI’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Dataiku · 2
Recorded for Fireworks AI. 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
No shared stack layer with the other side.
Fireworks AI
No shared stack layer with the other side.
No counterpart
Dataiku sells these in a stack layer with no product recorded for Fireworks AI 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.
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.
Fireworks AI sells these in a stack layer with no product recorded for Dataiku yet — nothing on the other side to compare them against.
API service
Serving for frontier open models and for a customer's own post-trained versions of them, on an inference engine tuned at each layer.
Real-time and batch speech-to-text on Fireworks, aimed at voice workflows that need low-latency transcription at scale.
Training and retraining of custom models on Fireworks, offered across several training surfaces and served on the same platform.
Model API
Drop-in API endpoint that routes each request across models to trade cost against quality.