Looker alternative for ecommerce teams
Verity vs Looker
Looker is Google Cloud’s enterprise BI platform, built on LookML: a modelling language in which a company’s data analysts define the data model and the business rules, in files under version control. It is a different product from Data Studio, the free report builder that was called Looker Studio until April 2026. Verity is for the marketing or ecommerce team that has no analysts to write that model: it loads your store, ad and email data into your own BigQuery, maintains the models and definitions, and brings the dashboards. A Verity dashboard can be exported as LookML, so a company that grows into Looker does not start from nothing.
Checked against Looker’s public sources on 13 November 2026.* Compared as dashboards and BI.
Dashboards and BI in Verity →At a glance
Yes
Partly
No, or not found in public sources*
Where Looker is ahead
Looker is an enterprise platform and it shows. One LookML model governs every dashboard and every answer across the company, on more than 60 SQL dialects without moving the data. Dashboards can live as version controlled files. It has an edition for embedding analytics in your own product, Conversational Analytics grounded in the model, and a managed MCP server at no additional cost. Verity is built for marketing and ecommerce numbers on BigQuery and does not offer embedding.
Where the two differ most
In the work before the first dashboard, and in who can do it. Looker connects to a database, so the store, ad and email data has to be loaded there first, and then analysts write the model in LookML, which Google says requires an understanding of SQL. Verity includes both steps for one kind of data: managed loading into your own BigQuery, maintained data models, and a semantic layer it proposes and you approve in plain language. No price is published for Looker; its pricing page says to call sales.
From Verity to Looker
The two can follow each other. Every Verity dashboard has an Export as code action, and Looker (LookML) is one of its seven formats. The file holds the structure of the dashboard, its definitions and its queries, never data, and the data is already in your own BigQuery where Looker can read it. Expect your analysts to review the result in Looker: it is a head start, not a one click migration. Until then both can run on the same tables, Looker for the company and Verity for marketing.
Which one fits
Choose Verity when
You have no analysts to write a model, and you want dashboards this month, not after a modelling project.
Your data is still in Shopify or WooCommerce, GA4, Meta Ads, Google Ads and Klaviyo, and you want it loaded and modelled for you.
You want a price you can read on a page. Verity starts at €500 per month excluding VAT with unlimited users.
You want targets and budgets for the year, attribution models side by side and customer segments you can activate, in one platform.
You want to start managed and keep the door open. A Verity dashboard exports as LookML when the company moves to Looker.
Choose Looker when
You are a larger organisation that wants one governed model for all company data, far beyond marketing.
You have data analysts who know SQL and will write and maintain LookML in a Git repository.
Your data lives in several databases or clouds. Looker lists more than 60 supported SQL dialects.
You need analytics embedded in your own product, with its own edition for that.
You are already on Google Cloud and want Conversational Analytics and an MCP server on the same model.
Built in, add on or separate tool
What you get as part of each product, and what comes on a higher plan, as an add on or from another vendor.
What we checked about Looker
Each statement comes from Looker’s own website or documentation, read on 13 November 2026.*
Questions
Is Verity a Looker alternative?
For an ecommerce or marketing team that wants dashboards and KPIs without a modelling project, yes. For an organisation that wants one governed model across all company data, with analysts to maintain it, Looker is the better fit. The two can also run next to each other on the same BigQuery.
Is Looker the same as Looker Studio?
No. According to Google (checked 13 November 2026), Looker is the enterprise BI platform built on LookML, and the free report builder that was called Looker Studio has been named Data Studio again since April 2026. We compare that product on its own page.
Can I export a Verity dashboard to Looker?
Yes. Looker (LookML) is one of the seven formats of the Export as code action on a Verity dashboard, next to dbt MetricFlow, Cube, Evidence, Lightdash, Metabase and a Markdown handoff. The file holds the structure, the definitions and the queries, never data rows. It is a head start for analysts who continue in Looker, and they should expect to review it there. Verity does not import LookML.
What does Looker cost?
Google does not publish a price. According to the Looker pricing page (checked 13 November 2026), the Standard, Enterprise and Embed editions are sold with an annual commitment and the cost is listed as “Call sales”. Verity starts at €500 per month excluding VAT with unlimited users.
Do both have an MCP server?
Yes. According to Google's documentation (checked 13 November 2026), Looker has a managed MCP server built into the platform, with all tools disabled until an administrator enables them. Verity's MCP server has 100+ tools that also cover data sources, segments and activation, and anything that reaches a customer goes to a person for approval.
Read next
Dashboards and BI in VerityData models and the semantic layerAI analyticsVerity over MCPDocumentation: dashboard toolsPricingAlso compare
Verity vs Looker Studio (now Data Studio)Verity vs LightdashVerity vs MetabaseAll dashboards and BI in one tableSources
Google Cloud: LookerLooker pricingLooker docs: what is LookMLLooker docs: building LookML dashboardsLooker docs: user defined dashboardsLooker docs: dialectsLooker docs: Looker BlocksLooker docs: Conversational Analytics overviewLooker docs: Gemini in LookerLooker docs: MCP serverLooker docs: connect with MCP ToolboxLooker release notesLooker docs: self service ExploresLooker docs: single value chart optionsLooker docs: alertsLooker docs: scheduling dashboardsLooker docs: embeddingLooker docs: choosing a hosting option* Information about Looker is based on Looker’s public website and documentation as we read them on 13 November 2026. Products, features and prices change, and we may have missed or misread something. Check Looker’s own website for current details. Looker is a trademark of its owner. Verity is not affiliated with or endorsed by Looker. Spotted something that is not right? Email [email protected] and we will correct it.
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