Verity vs Cube

Cube alternative for ecommerce teams

Verity vs Cube

Cube calls itself the agentic analytics platform built on a semantic layer. A data team writes the semantic model in code, and Cube serves it to its own workbooks, dashboards and Analytics Chat, to other BI tools and to analytics embedded in a product. Verity is for the marketing or ecommerce team that has no data team to write that model: it loads your store, ad and email data into your own BigQuery, maintains the data models and the definitions, and brings the dashboards. A Verity dashboard can be exported as code in Cube format, so a data team can later carry the definitions on in Cube.

Checked against Cube’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*

VerityCube*
Where the data comes from
Loads your store, ad and email data for you
Yes: Managed, on a schedule
Not found in public sources: Connects to your warehouse
Works on your own BigQuery
Yes
Yes
Data model built and maintained for you
Yes
Not found in public sources: Your data team writes it
KPIs and definitions
One definition per KPI in a semantic layer
Yes: You approve it
Yes: Its core product
KPIs against targets and budgets
Yes: Targets, budgets, guardrails
Partly: Target on a KPI chart
Ready made marketing and ecommerce dashboards
Yes: Per source and combined
Not found in public sources
Working with it
Build your own dashboards without code
Yes
Yes: Workbooks, dashboards
Ask questions in plain language
Yes: Data Chat
Yes: Analytics Chat
MCP server for AI assistants
Yes: 100+ tools
Yes: All plans, 30 tools
AI assistant builds dashboards over MCP
Yes: As a draft for review
Yes: Dashboards, data model
Sharing and taking it with you
Share with the team and send on a schedule
Yes: Workspaces, email, spreadsheet
Yes: Schedules on Premium
Dashboards as code
Yes: Export in seven formats
Partly: Data model as code
Embed dashboards in your own site or app
No
Yes: Premium and up
Hosting and pricing
Open source or self hosted option
No: Managed cloud
Yes: Cube Core, no interface
Published pricing
Yes: From €500/mo, unlimited users
Yes: Free, then $40 per developer

Where Cube is ahead

Cube is a semantic layer first, and a deep one. The model is code in version control, it connects to many warehouses, and it serves the same definitions to its own workbooks and dashboards, to other BI tools and spreadsheets, and to your own product through embedding. Its MCP server is on every plan with 30 tools, including ones that write dashboards and data model files. Cube Core is open source, and there is a free plan. Verity works on BigQuery only and does not offer embedding or self hosting.

Where the two differ most

Cube gives a data team the best tools to build a semantic model. Verity gives a marketing team the model already built. Cube connects to a warehouse or database and states that it is not designed to fetch data from an API, so loading Shopify or an ad platform is somebody else’s job, and so is modelling it. Verity loads those sources into your own BigQuery, maintains the data models, and proposes a semantic layer that you approve in plain language.

From Verity to Cube

The two can follow each other. Every Verity dashboard has an Export as code action, and Cube is one of its seven formats. The file holds the structure, the definitions and the queries, never data, and the data is already in your own BigQuery where Cube can read it. Expect a data team to review the result in Cube: it is a head start, not a one click migration. On price, Cube starts free and then charges per developer and per user role, and Verity starts at €500 per month excluding VAT with unlimited users.

Which one fits

Choose Verity when

You have no data team, and nobody to write and maintain a semantic model in code.

Your data is still in Shopify or WooCommerce, GA4, Meta Ads, Google Ads and Klaviyo. Cube does not fetch data from applications.

You want the definitions of revenue, new customers and return on ad spend proposed from your data and approved by you.

You want dashboards per channel on the first day, targets and budgets for the year, and attribution models side by side.

You want to start managed and keep the door open. A Verity dashboard exports as code in Cube format when a data team takes over.

Choose Cube when

You have data engineers who want to own one semantic model in code, in version control, for the whole company.

You want that one model to feed several tools at once: Cube’s own dashboards, other BI tools, spreadsheets and AI agents.

You are building analytics into your own product. Embedding is one of Cube’s two main use cases.

Your warehouse is Snowflake, Databricks, Redshift or another one Cube connects to. Verity works on BigQuery only.

You want an open source semantic layer to host yourself, or a free plan to start a small project.

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.

VerityCube*
Loading store, ad and email dataBuilt in and managed, into your own BigQueryNot offered; it connects to your warehouse
Semantic modelProposed from your data, approved by you, maintained for youWritten by your data team in YAML or JavaScript
DashboardsReady made per source, plus your ownWorkbooks you publish as dashboards
Feeding other BI toolsThey read your BigQuery; dashboards export as code in seven formatsBuilt in, through its SQL API and connectors
AI questions and MCPBuilt inBuilt in on all plans
Scheduled delivery and alertsReports by email and monitorsPremium and Enterprise plans
Embedding in your own productNot offeredPremium and Enterprise plans
Self hostingNot offeredCube Core, open source, without an interface

What we checked about Cube

Each statement comes from Cube’s own website or documentation, read on 13 November 2026.*

  • Cube describes itself as “the agentic analytics platform built on a semantic layer”, with BI for both people and AI agents on one semantic model.

    Source: Cube homepage, read on

  • Cube names two primary use cases: internal business intelligence and embedded analytics. Data engineers build and maintain semantic models in code, written in YAML or JavaScript and managed in version control.

    Source: Cube docs: introduction, read on

  • Cube connects directly to a data warehouse or database, BigQuery among them, and states that it is not designed to access data files directly or fetch data from REST, GraphQL or any other API.

    Source: Cube docs: data sources, read on

  • The Free plan is free forever and includes workbooks (up to five), dashboards, agents, Analytics Chat and the MCP server. Starter costs $40 per developer per month and Premium $80 per developer per month, with an Explorer role at $40 and a Viewer role at $20 per user per month. Enterprise is priced on request.

    Source: Cube pricing, read on

  • The MCP server is available on all plans and exposes 30 tools.

    Source: Cube docs: MCP server, read on

  • Besides its own workbooks and dashboards, Cube connects to other tools, including Looker Studio, Metabase, Sigma, ThoughtSpot, Google Sheets and Excel.

    Source: Cube docs: visualization tools, read on

  • A KPI chart shows a value relative to a target. To compare against a fixed number such as a quarterly goal, you add a calculated field that returns that number.

    Source: Cube docs: KPI chart, read on

  • Scheduled refreshes, which can send an email or Slack message with a screenshot of a dashboard, are available on Premium and Enterprise plans.

    Source: Cube docs: scheduled refreshes, read on

  • Analytics can be embedded with iframes, a React SDK or a headless approach. Iframe and SDK embedding are available on Premium and Enterprise plans.

    Source: Cube docs: embedding, read on

  • Cube Core is the open source semantic layer. It is headless, without a user interface, and can be self hosted with Docker. The backend is Apache 2.0 licensed.

    Source: Cube on GitHub, read on

Questions

Is Verity a Cube alternative?

Only for a team without data engineers. Cube is a semantic layer and BI platform that a data team models in code, for the whole company and for analytics inside a product. Verity is a managed platform for marketing and ecommerce numbers, where the data and the model come with it. If you have the team and the need for one model across many tools, choose Cube.

Can I export a Verity dashboard to Cube?

Yes. Cube is one of the seven formats of the Export as code action on a Verity dashboard, next to dbt MetricFlow, Evidence, Lightdash, Looker (LookML), Metabase and a Markdown handoff. The file holds the structure, the definitions and the queries, never data rows. It is a head start for a data team that continues in Cube, and they should expect to review it there. Verity does not import Cube models.

Does Cube load data from Shopify or ad platforms?

No. According to Cube's documentation (checked 13 November 2026), Cube connects to a data warehouse or database and is not designed to fetch data from an API. Verity loads Shopify, WooCommerce, GA4, Meta Ads, Google Ads, Microsoft Ads, Klaviyo, Brevo and ActiveCampaign into your own BigQuery as part of the product.

Do both have an MCP server?

Yes. According to Cube's documentation (checked 13 November 2026), its MCP server is available on all plans with 30 tools. 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.

Sources

Cube homepageCube pricingCube docs: introductionCube docs: data modelling overviewCube docs: data sourcesCube docs: visualization toolsCube docs: MCP serverCube docs: KPI chartCube docs: sharingCube docs: scheduled refreshesCube docs: data alertsCube docs: embeddingCube docs: infrastructureCube on GitHub

* Information about Cube is based on Cube’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 Cube’s own website for current details. Cube is a trademark of its owner. Verity is not affiliated with or endorsed by Cube. Spotted something that is not right? Email [email protected] and we will correct it.

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