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Myriade vs Looker / Looker Studio

Looker promised self-service. Your business teams still can't answer their own questions.

Looker is powerful BI, but it requires significant LookML modeling effort. Its new Gemini AI features are closing the gap for natural language queries, but the underlying challenge remains: someone has to build and maintain the semantic layer first. Myriade builds the data foundation automatically.

Data understanding

Myriade goes far beyond your metadata.

Looker works from metadata and pre-built configurations. Myriade connects to your warehouse and reverse-engineers a context layer covering every table and column — roughly 90% generated autonomously. The remaining 10% are genuine ambiguities that Myriade surfaces for your team to confirm.

What Looker sees

Column names

Schema metadata

Query history

Basic descriptions

Depth of analysis

What Myriade sees

Actual data values and samples

Statistical distributions (min/max, anomalies)

Cross-table relationships and joins

Data quality issues (duplicates, inconsistencies)

Business context inferred from data behavior

Column meaning verified against actual values

The LookML bottleneck

Looker's strength is also its weakness: LookML. Building a semantic layer takes significant engineering effort. Gemini's LookML Assistant now accelerates code generation, but defining the right business logic, joins, metrics, and access controls still requires deep data knowledge and ongoing maintenance.

LookML modeling still required: Gemini's LookML Assistant helps write code faster, but doesn't replace the need for a skilled data team to design, validate, and maintain the semantic layer. For complex data estates, this remains a weeks-to-months effort.

Natural language is coming, but depends on modeling: Looker's Conversational Analytics (powered by Gemini) now lets business users ask questions in plain language. But answer quality is directly tied to how well the LookML model is built. On poorly modeled data, results degrade.

Business users are less dependent, but not autonomous: Gemini significantly improves the user experience. Still, for questions that go beyond what's been modeled in LookML, non-technical users can't self-serve. The data team remains involved for new explores and data sources.

Numbers that contradict: multiple Looks built by different analysts using different logic. Same metric, different numbers. Trust erodes.

Feature comparison

Myriade

72h deployment, value in the first week

Looker / Looker Studio

Weeks to months of LookML modeling. Gemini LookML Assistant accelerates development but doesn't eliminate it.

An AI layer that gets smarter every night

Nightly memory cycle

Every conversation across your org is reviewed nightly. Corrections and clarifications become permanent knowledge for all users.

Org & user instructions

Define business rules that apply to everyone, or context specific to a team. The AI adapts without warehouse changes.

Self-improving context

The platform in month six is meaningfully more accurate than month one. Every interaction deepens the foundation.

Why Teams Choose Myriade

Why teams choose Myriade

Self-service that actually works on messy data

Business users ask questions in plain language and get trustworthy answers — even on raw, undocumented data. No LookML knowledge needed, no SQL, no pre-built dashboards required. Myriade builds the understanding layer that Looker's NLQ features assume already exists.

Skip the modeling marathon

Myriade auto-documents 90% of your data in 72h through statistical profiling, sampling, and cross-table analysis. No months of LookML development. No semantic layer to maintain. Value in week one.

Consistent numbers, trusted answers

Myriade builds a documented, quality-checked foundation that ensures everyone gets the same answer to the same question. One truth, transparent reasoning.

With Myriade, we moved from being data crunchers to decision-makers. The idea is to instantly generate a first analysis with charts and recommendations, so we can spend most of our time on action plans.
Jean-François Jouannais

Jean-François Jouannais

Head of Data & AI Product, Jules

Jules

Frequently Asked Questions

Myriade doesn't replace Looker for complex, pre-built dashboards, embedded analytics, or deep Gemini-powered exploration on well-modeled data. It complements Looker by providing the automated data foundation that makes LookML modeling faster and NLQ answers more reliable. For teams who need self-service analytics without the modeling investment, Myriade can serve as a standalone solution.

True self-service doesn't require LookML.

Give your business teams natural language access to trusted data, deployed in 72h, not months.

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