Dataiku

AI tool profile ·

A data science platform where analysts and coders build AI models and agents side by side, using visual steps or written code.

68TriVista score
Category rankTied #11 in Data Science and Machine Learning Platforms
Baseline ELO1,459.8
At a glance
What it does

Dataiku is a data science and AI platform where analysts and data scientists prepare data, build and deploy machine learning models, and now build AI agents through its Agent Hub, using either visual drag-and-drop steps or written code. A feature called LLM Mesh lets a team route requests to different language model providers from one place and monitor how each is used. Admins set governance policies, track data lineage, and manage approvals across every model and agent in the system. It is made by the company Dataiku, runs on AWS, Azure, or Google Cloud, and connects to data warehouses such as Snowflake and Databricks. Gartner named Dataiku a Leader in its Magic Quadrant for the fourth year running.

Where it can help

This fits a company with both technical data scientists and business analysts who need to work in the same tool, since it supports visual workflows and raw code side by side. A good starting point is a pilot with one analytics or operations team building a single model, such as a churn predictor, before opening the platform to more users. Dataiku does not publish list pricing, so treat any number from a sales conversation as a starting point for negotiation and ask for a time-boxed trial first. The main risks are the cost of named user licenses as more teams adopt the tool, and the effort needed to set clear governance rules before agents and models multiply across departments.

Understanding this score

A research signal to help you build a shortlist.

TriVista score
68.3
Category rank
#11
Baseline ELO
1,459.8

Compare within the category

This tool is ranked in Data Science and Machine Learning Platforms. Its score is not a global ranking across every AI tool.

Use a pilot to judge your fit

The score does not guarantee performance for your team. Validate relevance, integration, permissions, and cost against your own requirements.

How the number is calculated

The score converts the baseline ELO rating onto the TriVista scale. The headline badge rounds to a whole number. Scores are not silently clipped or capped.

TriVista Score = 50 + (ELO − 1350) / 6

Before you choose
  • Customer feedback is not yet strong enough to change the starting rating.
  • The tool has a middle-of-the-scale starting rating. A tied order does not show a measured difference.
  • Check the current price before you decide.
  • We recorded rollout time, how it runs, and when it does not fit.
How company details affect the score

The model adjusts the starting rating using the company details you select. Use these estimates to prioritize your review, then test the tool against your own requirements.

Read the full methodology →
Cost guide

What it can cost

These estimates cover licensing, setup, integrations, staff time, security, administration, and support.

Cost estimates by scenario Unit used in these estimates: production workspace.
Cost measureLowBaseHigh
First-year total$81.3K$128.2K$206.5K
Three-year total$175.2K$264.6K$409.1K
First-year cost per unit$81.3K$128.2K$206.5K
Average annual cost per unit (over three years)$58.4K$88.2K$136.4K
Cost breakdown by scenario
Included cost components
ComponentLowBaseHigh
Licensing and usage$27K$36K$48.6K
Implementation$13.2K$22K$37.4K
Integration$15.4K$28K$50.4K
Staff time and change management$8.4K$12K$16.8K
Security$6.3K$9K$13.5K
Administration$4.9K$6.5K$8.8K
Support$2.3K$3K$4.1K

Estimate assumptions: Based on 1 production workspace. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.

Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.

Get started

What you need first

What you need firstSet up the basics

Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.

How to startSet clear limits

Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot

Before you scaleSet safe working rules

Review security and exit requirements →

Recommended next action

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

Decision ownerBusiness and technology owner
STARTSet a goal and owner

Define what success looks like for a test of Dataiku and assign someone to lead it.

FIRST MONTHTest one workflow

Once the requirements above are met, compare a small trial with how your team works today.

MONTH TWOReview actual use

Track adoption, output quality, business results, and actual costs against the estimate.

MONTH THREEDecide what comes next

Use the results to decide whether to stop, adjust, or expand the pilot.

Risk profile

Required controls

Security and safe use

Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.

Exit and rollback

Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.

Recommended next step

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

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Research support

How to learn more about this tool

Where to check the product, price, security, and support.

Official product information dataiku.com Read official information →
Score history

How the rating has changed

Recorded score and category rank across research updates.

  • Current catalog refresh
    TriVista Score 68.3/100
    Category rank #11

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