Comparison · BI and dashboards

Teramot vs. Looker: organized data underneath your dashboards.

Looker, by Google Cloud, is great at showing data. Teramot organizes it and gives it your business logic. And you can ask your AI for your day-to-day dashboards: Teramot publishes them, up to date and with role-based access.

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In one sentence

Two paths: Teramot underneath Looker, or dashboards your AI builds and Teramot publishes.

  • Organized dataERP, CRM and spreadsheets unified, with business logic.
  • AI dashboardsAsk your AI and Teramot publishes them, with live data.
  • TraceableEvery number shows its source and its calculation.
  • By roleEach dashboard sets who can see it inside your company.
How they compare

Teramot and Looker, topic by topic.

Data reaches the dashboard organized, instead of being organized inside it.

Looker is great at showing data. But first someone has to bring it together, clean it and give it business logic. Teramot does that work automatically, on top of the systems you already have.

With Teramot
  • It connects straight to SAP and other ERPs, Salesforce, SQL databases and spreadsheets.
  • 50+ agents unify, clean and document every table.
  • Business rules are written down, with a change history.
With Looker alone
  • It expects the data already prepared.
  • An analyst does the preparation in LookML, maintained by developers.
  • Business rules live in the LookML model.

Dashboards your AI builds and Teramot publishes.

In Looker, every new dashboard is built by someone who knows the tool. With Teramot, day-to-day dashboards are requested in a conversation: AI builds them on your organized data and Teramot publishes them.

With Teramot
  • You describe the dashboard in Claude and see a preview.
  • It is published in Teramot, up to date and with role-based access.
  • People who only view it do not consume AI.
With Looker alone
  • Every new dashboard is built by someone who knows Looker.
  • Changes go back through that person.
  • Meanwhile, the request waits.

Every number knows where it comes from.

In the board meeting a good-looking dashboard is not enough: every figure has to be explainable, back to the source system.

With Teramot
  • Every table, metric and dashboard shows its source data and the calculation (SQL) behind it.
  • Rules are recorded, with a change history.
  • Monthly checks with a verdict warn you if something stops holding.
With Looker alone
  • It shows how the dashboard is built from the data it receives.
  • What happened before (ERP exports, intermediate spreadsheets) stays outside.
  • If a source value changes, someone has to notice.

The AI you already use, on data you can trust.

Looker adds its own AI features, which work on the data the model already has. Teramot makes sure that data is organized, and also opens it to the AI your team already uses.

With Teramot
  • Claude, ChatGPT, Gemini or Copilot work on your organized data through MCP.
  • Each person only sees what their role allows.
  • People who only view dashboards do not consume AI: costs are predictable.
With Looker alone
  • Its AI works on what is already in Looker.
  • Answer quality depends on the data model underneath.
  • It is used inside Looker.

IT governs and enables; the business stops waiting.

With Teramot, IT keeps control: it sets access and permissions, and the business builds what it needs without new tickets.

With Teramot
  • Per-person roles, per-dashboard visibility and audit logs.
  • Connection through a VPN or dedicated tunnels; AI never connects directly to your databases.
  • SOC 2 Type 1 and Type 2.
With Looker alone
  • Every new source or rule goes back through whoever maintains the model.
  • The logic lives in the heads of two or three people.
  • If they are out, the report does not get done.
Summary

The comparison in one table.

CriterionTeramotLooker
Organizes and unifies data from several systemsYes, automaticallyAn analyst does it in LookML, maintained by developers
Business logicWritten down, with a change historyInside the LookML model
A new dashboardAsk your AI and Teramot publishes itBuilt by someone who knows Looker
TraceabilityBack to the source system, with the calculationBack to the connected source
AIThe one you already use, through MCPLooker’s own AI features
Where dashboards livePublished in Teramot, or connected to LookerIts strength: visualizing and sharing dashboards
How they work together

Your dashboards stay in Looker. What changes is underneath.

Your systemsERP, CRM, databases and spreadsheets
TeramotOrganizes, documents and adds business logic, every day
LookerYour usual dashboards

Looker connects to Teramot's organized tables like any other data source. And if you prefer, your AI builds new dashboards on those same tables and Teramot publishes them.

It solved it on the spot.
A double join was inflating premiums and commissions in the old BI. The model caught it on its own.
National bank · Insurance sales management
Nothing to migrate

Already using Looker? No migration needed.

Teramot slots in underneath your dashboards. We start with a two-month pilot on a critical analysis.

  1. 1
    First two weeksSecurity review with IT, connection to your systems and organizing the data.
  2. 2
    First monthWe pick the reports that take the most time and leave them updating themselves.
  3. 3
    During the pilotWe add alerts, checks and workflows, with support from our team.
FAQ

Teramot and Looker, in questions.

Does your IT team want the details?

Roles, permissions, audit and certifications, in the Trust Center.

Go to the Trust Center →
Looker already has a semantic layer. Why add Teramot?
LookML defines metrics on data that already sits in a database or data warehouse. Teramot builds that foundation: it brings together data from the ERP, the CRM and spreadsheets, cleans it and gives it your business logic. Looker can read those tables like any other.
Does Teramot replace Looker?
It depends on what you need. Teramot can sit underneath Looker, organizing the data, or cover your day-to-day dashboards: you ask your AI and Teramot publishes them, up to date and with role-based access. Many teams use both.
How does Looker connect to Teramot?
Looker connects to Teramot's organized tables like any other data source, with the access your team defines. Your dashboards keep working the same way, with data that updates itself.
We already built our model in Looker. Do we have to redo it?
No. You can start with a new analysis or with the report that takes the most hours, and add the rest gradually. The two-month pilot is there to measure the return before scaling.
Do people who only view dashboards consume AI?
No. Costs are predictable: people who only view dashboards do not consume AI.
What about data security?
AI never connects directly to your databases: it works on a governed copy. There are per-person roles, audit logs and SOC 2 Type 1 and Type 2.
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How to start

Together with your team, we pick a report built by hand today and show you what it looks like automated.

A two-month pilot on a critical analysis is enough to measure the return before scaling.

Book a demo Start for free

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