Comparison
Codd AI vs Looker
Looker is Google Cloud's BI platform, built on LookML, a semantic modeling layer that developers write as code; Gemini-powered Conversational Analytics and agents use LookML to ground answers. Codd AI is an AI-native contextual semantic layer that discovers business knowledge, generates the data model and metrics for people to certify, and serves one context to every BI tool, agent and LLM. Choose Looker if it is your BI standard and you have LookML developers; choose Codd AI when you need business context for AI across many tools, built faster than hand-written code allows.
Last reviewed October 2026, based on public documentation. Spotted something out of date? Let us know.
At a glance
| Capability | Codd AI | Looker |
|---|---|---|
| Core approach | AI-native contextual semantic layer that works across BI tools, agents and LLMs | BI platform with the LookML semantic modeling layer at its core |
| How the model is built | AI discovers entities, relationships and metric logic from data, BI assets, documents and experts; people certify | Developers write LookML (views, Explores, models) as code in Git, with AI-assisted development tools |
| Business knowledge beyond the database | Built in: captures definitions and rules from documents, BI reports and experts | Defined in LookML; wider context lives elsewhere |
| Natural language and agents | Conversational analytics built in, plus MCP, Slack and Teams; works with any LLM | Gemini-powered Conversational Analytics, Dashboard Agents and a Looker MCP server |
| Other BI tools | Power BI, Tableau, Looker, Excel | Looker, Looker Studio and Connected Sheets; Open SQL Interface (JDBC) for tools such as Tableau and Power BI |
| Data platforms | Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, Oracle, Teradata, Trino | BigQuery and more than 60 SQL dialects, including Snowflake, Redshift and Databricks |
| Repeatable analysis and automation | Playbooks and Actions | Scheduled agentic workflows (in preview) and Looker's scheduling and alerts |
| Pricing | Contact sales | Platform edition plus per-user licenses, by quote |
What is Looker?
Looker is Google Cloud's enterprise platform for business intelligence, data applications and embedded analytics. Its foundation is LookML, a semantic modeling language that defines dimensions, measures, calculations and relationships in a reusable, version-controlled layer.
LookML is written by developers and reviewed like application code. Google has added AI-assisted development, including a VS Code extension that works with the Model Context Protocol.
Gemini in Looker powers Conversational Analytics and Dashboard Agents that ground answers in LookML. Other tools can use Looker's model through the Open SQL Interface and Connected Sheets, and a Looker MCP server is available for agents. Looker supports BigQuery and more than 60 SQL dialects.
Key differences
Inside one BI platform vs across every tool
LookML is at its best when Looker is the main BI interface. Codd AI is independent of any BI tool: the same certified context serves Power BI, Tableau, Looker, Excel, Slack, Teams, MCP clients and any LLM.
Hand-written LookML vs AI-generated, certified context
LookML requires developers to model the business by hand. Codd AI discovers business knowledge across data, BI assets, documents and experts, generates the ontology, data model and metrics, and has people certify them, which shortens the time to a usable semantic layer.
Business context for AI
Both ground AI answers in a semantic layer. Codd AI also captures the reasoning around metrics, such as rules, exceptions and differences between departments, and adds Playbooks and Actions. See what is contextual analytics.
Which should you choose?
Choose Looker if
- Looker is your BI standard and most users work inside it.
- You have LookML developers and want models as code in Git.
- Your data and AI strategy centers on Google Cloud, BigQuery and Gemini.
Choose Codd AI if
- You use several BI tools and AI assistants and need one certified context across all of them.
- You want AI to generate the semantic layer, with people certifying it, in weeks rather than quarters.
- Important knowledge lives in documents, BI reports and experts, not only in models.
- You want Playbooks and Actions on top of trusted answers.
Using Codd AI with Looker
Codd AI supports Looker as one of its BI integrations, so teams can keep Looker dashboards while Codd AI provides the certified business context and conversational analytics across Looker and the other tools and agents they use.
Frequently asked questions
What is the difference between Codd AI and Looker?
Looker is a BI platform built on LookML, a semantic model that developers write as code. Codd AI is an AI-native contextual semantic layer that generates the model and business context with AI, has people certify it, and serves it to every BI tool, agent and LLM.
Can other BI tools use Looker's semantic layer?
Yes, through Looker's Open SQL Interface and connectors such as Connected Sheets. Codd AI is designed to be tool-independent from the start, serving one certified context to Power BI, Tableau, Looker, Excel and AI assistants.
Can I use Codd AI with Looker?
Yes. Codd AI integrates with Looker, so you can keep your Looker dashboards and add Codd AI's certified context and conversational analytics.
See Codd AI on your own data
Learn how Codd AI builds a certified, contextual semantic layer in weeks, and how it fits alongside the tools you already use.