Tower vs Google Looker

Yes, Tower can fully replace Looker for most use cases. Tower provides end-to-end analytics from data connection to insights, including the semantic layer that Looker's LookML provides—but automated by AI. Tower also adds predictive and prescriptive analytics that Looker doesn't offer. Organizations can migrate from Looker to Tower and eliminate LookML development overhead entirely.

Tower doesn't use LookML—it creates its own AI-generated semantic layer. During migration, Tower analyzes your existing Looker explores and dimensions to understand your business logic, then recreates equivalent models automatically. This typically takes 1-2 hours versus the weeks it took to originally write the LookML.

Tower is typically 50-60% less expensive for data teams when you factor in total cost of ownership. While both have similar platform costs, Tower eliminates the need for LookML developers and data modelers. Organizations save $150K-$300K annually in data team costs alone, plus faster time-to-insights means faster business value.

Yes, Tower connects to all major data warehouses including Google BigQuery, Snowflake, Redshift, Databricks, and more. Unlike Looker which is tied to Google Cloud, Tower is platform-agnostic. Tower can even connect to multiple warehouses simultaneously and join data across them—something difficult in Looker.

Yes, that's Tower's core value proposition. Business users describe what they want to analyze in plain English through conversational AI. Tower automatically handles data modeling, metric definitions, calculations, and dashboard creation—all the tasks that require LookML expertise in Looker. Users get the benefits of a semantic layer without needing to understand or maintain it.