Dataiku Software profile

Dataiku at a glance.

An enterprise-grade AI and machine learning platform that enables teams to build, deploy, and manage AI models at scale through a collaborative, low-code/no-code environment.

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Lorezi score4.07/5
PricingCustom pricing
Free planAvailable
DeveloperDataiku
Decision summary

What matters first about Dataiku.

An enterprise-grade AI and machine learning platform that enables teams to build, deploy, and manage AI models at scale through a collaborative, low-code/no-code environment.

Compare Dataiku →Visit official site ↗
Lorezi score4.07/5Summary score; review the four dimensions below.
PriceCustom pricing
Best forData Scientists
Think twice ifSteep learning curve for users without a background in data science or analytics
Research freshnessCurrent
Last researchedAug 27, 2026

Scores summarize Lorezi's evaluation. Use the dimension breakdown and evidence to understand the trade-offs. See methodology and weighting.

Research freshness
Current How current is this profile?

Research evidence is within Lorezi's 90-day freshness window.

Last researchedAug 27, 2026
Re-check byNov 25, 2026
Pricing
Checked How does Dataiku charge?

Lorezi independently checked this pricing on Sep 29, 2026.

Model Freemium
Starting point Custom pricing
Billing basis Not confirmed
Pricing checked Sep 29, 2026
Evaluation

How Dataiku performs.

Four consistent dimensions turn the headline score into a transparent product evaluation.

Features4.8/5
Performance4.0/5
Ease of use3.7/5
Value3.5/5
Editorial verdict

The decision on Dataiku.

Dataiku AI is an exceptional platform for organizations aiming to operationalize their AI and machine learning efforts. It successfully bridges the gap between technical data scientists and business analysts through a collaborative, hybrid low-code/code-first environment. While the platform demands a significant investment in both time and budget, the return on investment is evident in the streamlined MLOps, robust governance, and accelerated time-to-market for AI models.

It is highly recommended for enterprises that need a scalable, secure, and collaborative solution to manage the entire AI lifecycle.

Best for

Where it fits best.

  • Data Scientists
  • Data Analysts
  • Business Analysts
  • ML Engineers
  • Enterprise IT Teams
Use cases

Practical jobs to consider.

  • Apply Visual data preparation and cleaning tools in a real workflow
  • Automate repetitive work
  • Work with teammates on shared projects
  • Connect tools and data across workflows
  • Apply Enterprise-grade security and governance controls in a real workflow
  • Apply Support for SQL, Python, R, and Scala coding in a real workflow
  • Turn data into actionable insights
  • Apply Model versioning and experiment tracking in a real workflow
Trade-offs

Strengths and limitations together.

A useful software decision should show what stands out and what deserves caution in the same view.

Strengths

Where Dataiku stands out.

  • Excellent balance between low-code visual interfaces and deep coding capabilities
  • Strong emphasis on MLOps and model governance for enterprise compliance
  • Highly collaborative environment that bridges the gap between technical and business users
  • Extensive connectivity with modern data stacks and cloud infrastructure
  • Robust automation features that accelerate the end-to-end AI lifecycle
Limitations

What to weigh carefully.

  • Steep learning curve for users without a background in data science or analytics
  • High cost of entry for enterprise-level deployments
  • Resource-intensive, requiring significant infrastructure to run effectively
  • Complex administrative setup for large-scale distributed teams
Capabilities

What can I do with Dataiku?

  • Apply visual data preparation and cleaning tools with Dataiku AI
  • Automate repetitive workflows with Dataiku AI
  • Collaborate on projects with other people using Dataiku AI
  • Connect this capability to other tools and workflows with Dataiku AI
  • Apply enterprise-grade security and governance controls with Dataiku AI
  • Apply support for sql, python, r, and scala coding with Dataiku AI
  • Analyze data and surface useful insights with Dataiku AI
  • Apply model versioning and experiment tracking with Dataiku AI
Practical prompts

Useful starting prompts.

  • Build a visual cleaning pipeline for [customer data], checking missing identifiers, currency and duplicate rows.
  • Train an AutoML baseline for [business outcome] with a time-aware split and explicit leakage checks.
  • Document [model deployment] monitoring for drift, accuracy and escalation, keeping version and dataset traceability.
  • Build a visual recipe to reconcile [customer transactions] while preserving the source values for exceptions.
  • Design an AutoML comparison for [customer churn] with appropriate cross-validation and holdout evaluation.
  • Combine [SQL extracts] with [Python enrichment] in a reproducible project flow, documenting dependencies.
  • Create an experiment register for [model versions] capturing datasets, parameters and acceptance criteria.
  • Review [scoring pipeline] for leakage, missing features and invalid inference-time inputs.
Explore prompts →
Expert review

Read the full Dataiku review.

The long-form editorial review lives on its own page, separate from this concise software profile.

In-depth analysis

Dataiku Review (2026): Features, Pricing, Pros & Cons

Read our expert Dataiku review covering features, pricing, pros, cons, performance and alternatives.

Read the full review →
Comparisons

Compare Dataiku.

Use head-to-head evaluations when the useful question becomes which competing product better fits the job.

Comparison
Dataiku
VS
DataRobot
Dataiku4.07
DataRobot4.42
Current pick · DataRobotOpen comparison →
Comparison
Dataiku
VS
Altair AI Studio (formerly RapidMiner Studio)
Dataiku4.07
Altair AI Studio (formerly RapidMiner Studio)4.39
Current pick · Altair AI Studio (formerly RapidMiner Studio)Open comparison →
Comparison
Dataiku
VS
YData
Dataiku4.07
YData4.48
Current pick · YDataOpen comparison →
Alternatives

Explore nearby options.

These products are currently connected to Dataiku as relevant alternatives in Lorezi.

4.42/5Lorezi score
AI Platform

DataRobot

An enterprise-grade AI platform that automates the end-to-end machine learning lifecycle, from data preparation to deployment and monitoring.

Data ScientistsEnterprise BusinessesIT Operations Teams
AccessCustom pricing
DeveloperDataRobot, Inc.
4.39/5Lorezi score
Data Science and Machine Learning Platform

Altair AI Studio (formerly RapidMiner Studio)

Altair AI Studio, formerly RapidMiner Studio, is a visual data science and machine learning platform for preparing data, building analytical workflows, ...

Data AnalystsData ScientistsStudents
AccessFree plan
DeveloperAltair Engineering
4.44/5Lorezi score
Data Quality and AI Reliability

Cleanlab

Cleanlab provides automated data quality software to detect and fix errors in datasets, improving the performance and reliability of AI and machine lear...

Data ScientistsMachine Learning EngineersAI Researchers
AccessFree plan
DeveloperCleanlab
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