1. [Home](https://www.g2.com/)
2. ...
3. [Semantic Layer Tools](https://www.g2.com/categories/semantic-layer-tools)
4. [Cube Discussions](https://www.g2.com/products/cube-2023-07-31/discuss)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_653795341229756f27d11876e9fe1fd2/cube-2023-07-31.jpg "Product Avatar Image")
 
 ![Reward for good Cube reviews](https://images.g2crowd.com/uploads/report_medal_translation/image/37339/medal.svg "Reward for good Cube reviews")
](/products/cube-2023-07-31/reviews)

[

Cube

](/products/cube-2023-07-31/reviews)

(27)4.6/5

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool. The data team's governed metric definitions stay intact while AI constructs ad-hoc calculations on top of them — so you get governance and flexibility at the same time, not one at the expense of the other. That's why teams like Brex chose Cube to power AI-driven analytics at production scale. With Cube, data teams can: Model metrics and business definitions once, in a SQL-first semantic layer, and serve them consistently to every downstream consumer — AI agents, BI, spreadsheets, and embedded apps. Let business users ask questions in natural language through Analytics Chat, with answers grounded in the governed model instead of guessed from raw tables. Bring analytics to where people already work — Slack, and any MCP-compatible agent like Claude or ChatGPT via the Cube MCP server. Embed analytics in customer-facing products with multi-tenancy, row-level security, and query performance under load — choosing from a chat API, drop-in iframes, embedded creator mode, or data APIs. Apply software engineering best practices to analytics: version control with Git, CI/CD, isolated environments, and pre-aggregation caching for fast queries and lower warehouse spend. Cube Core, the open-source semantic layer at its foundation, has years of production use across a large developer community — battle-tested infrastructure that commercial-only tools can't match. Cube sits on top of your cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks); it doesn't replace it.

Show More

When users leave Cube reviews, G2 also collects common questions about the day-to-day use of Cube. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

* * *

### 81.0

Nps Score

### All Cube Discussions

Search

Most CommentedMost HelpfulCommon QuestionsNewest

All DiscussionsDiscussions with CommentsCommon QuestionsDiscussions without Comments

FilterFilter

Filter byExpand/Collapse 

Sort by

Most Commented

Most Helpful

Common Questions

Newest

Filter by

All Discussions

Discussions with Comments

Common Questions

Discussions without Comments

Sorry...

There are no questions about Cube yet.

## Start a New Software Discussion

Have a software question?

Get answers from real users and experts

[Start A Discussion](/products/cube-2023-07-31/discussions/new?entry_point=discussions%23product)

* * *

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/hd_favicon/866197fb6198c9fd02eb065aab772ac5/cube-2023-07-31.svg "Product Avatar Image")

### Have you used Cube before?

Answer a few questions to help the Cube community

[
Yes
](javascript:void(0))[
Yes
](https://www.g2.com/login?context=product_review&return_to=https%3A%2F%2Fwww.g2.com%2Fproducts%2Fcube-2023-07-31%2Fdiscuss%3Fsmall_ask%3Dcube-2023-07-31)
No