Looker with Gemini

AI tool profile ·

A chat feature inside Google's Looker analytics tool that lets staff ask data questions in plain language, grounded in agreed metric definitions.

68TriVista score
Category rankTied #11 in Business Intelligence and Analytics Copilots
Baseline ELO1,459.8
At a glance
What it does

Conversational Analytics is a chat feature inside Looker, Google Cloud's business intelligence platform, powered by Gemini. Business users type a question in plain language and get an answer grounded in Looker's semantic model, called LookML, which defines what each metric means so the AI is not guessing. A more advanced mode turns questions into Python code for deeper analysis beyond simple charts. Looker connects to BigQuery and Google Sheets, and developers can call the same feature through an API to embed it into other apps or Google's Agentspace. Google says it does not use customer prompts or data to train its models and does not store them without permission.

Where it can help

This fits a company that already uses BigQuery and Looker, or plans to adopt both, where business staff want to query data without learning SQL or waiting on an analyst. A reasonable start is enabling it for one well-modeled Looker Explore used by a single department, since answer quality depends heavily on how well that team has defined its LookML metrics. Looker is priced through a Google Cloud sales conversation rather than a public price list, so treat any number you see as a planning estimate and confirm current terms. Some Conversational Analytics features are still labeled preview, meaning Google can still change them, and answers are only as trustworthy as the semantic model behind them; an incomplete LookML model will give confident-sounding but wrong answers.

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 Business Intelligence and Analytics Copilots. 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$77.6K$120.2K$190.4K
Three-year total$177.4K$263.9K$401.6K
First-year cost per unit$77.6K$120.2K$190.4K
Average annual cost per unit (over three years)$59.1K$88K$133.9K
Cost breakdown by scenario
Included cost components
ComponentLowBaseHigh
Licensing and usage$31.5K$42K$56.7K
Implementation$10.8K$18K$30.6K
Integration$12.1K$22K$39.6K
Staff time and change management$7K$10K$14K
Security$6K$8.5K$12.8K
Administration$4.5K$6K$8.1K
Support$2.1K$2.8K$3.8K

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 Looker with Gemini 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 docs.cloud.google.com/looker/docs/gemini-overview-looker 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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