Cube

Cube is an analytics platform built around a semantic layer that encodes governed business definitions. This shared model helps dashboards, embedded applications and AI agents use consistent business concepts. Cube Cloud supports internal business intelligence and embedded analytics, while Cube Core is the accompanying open-source project. The Free plan includes a semantic layer IDE, workbooks, dashboard publishing, semantic model and workbook agents, and analytics chat. Listed data sources include PostgreSQL, Snowflake, ClickHouse, Databricks, BigQuery, MySQL, Oracle, Redshift, MongoDB and Trino; transformation and orchestration integrations include dbt, Dagster, Prefect, Airflow and Coalesce.io. Cube Core handles API requests using pre-aggregated data in Cube Store or raw data in connected databases. Cube Cloud can run as a managed multi-tenant service, in a cloud VPC, or on a customer's cloud through BYOC. Cube states that data is encrypted at rest and traffic over SSL/TLS 1.2. Free is available; Starter costs $40/mo per developer.

Cube combines governed metrics with analytics tools and API access, with a free option and several deployment models. Compare the plan request limits and retention periods with your workload before choosing a tier.

Cube may suit teams building internal business intelligence or embedded analytics, particularly those seeking governed definitions shared by dashboards and AI agents. It also offers deployment choices for managed service, VPC or customer-cloud use.

Overview

Cube is an agentic analytics platform built around a semantic layer that gives dashboards, embedded products, and AI agents a shared set of business definitions. It is best suited to data teams building internal BI or embedded analytics that need governed metrics and API access. Its free tier makes it possible to start with a useful analytics workspace, but daily request limits and brief query-history retention make tier selection important.

Key features

The semantic layer is Cube’s defining strength: teams encode business definitions once so analytics delivered through dashboards, embedded apps, and AI agents can use the same model. Governed metrics, dimensions and joins, row-level security, and a query API make it a fit for teams that need analytics to serve multiple audiences without losing control of definitions.

The Free plan includes a semantic layer IDE, workbooks, dashboard publishing, semantic model and workbook agents, and analytics chat. That is a broad set of tools for evaluating Cube or starting a small project, though the five-workbook cap and 1,000 daily requests limit how far it can stretch.

Cube connects to PostgreSQL, Snowflake, ClickHouse, Databricks, BigQuery, MySQL, Oracle, Redshift, MongoDB, and Trino. It also integrates with dbt, Dagster, Prefect, Airflow, and Coalesce.io. This range makes Cube relevant to varied data stacks, while the value of its integration breadth depends on whether those are the systems a team already uses.

Cube Core processes API requests against pre-aggregated data stored in Cube Store or raw data in connected databases. Pre-aggregations can support API-serving workloads, but teams should weigh the request quota and retention limits of their chosen plan against their expected use.

Cube states that data is encrypted at rest, API access is token-secured, and application traffic uses SSL/TLS 1.2. Cube Cloud is SOC 2 Type II, HIPAA, and GDPR compliant. Its deployment choices include managed multi-tenant service on AWS or GCP, a VPC on AWS, GCP, or Azure, and BYOC on a customer's cloud—a meaningful range for teams with different hosting requirements.

Pricing

Cube offers a free tier and paid plans from $40 a month. Prices for the paid per-developer plans are billed per developer per month, so costs scale with the number of developers.

• Free — free, Free forever: Up to five workbooks, 1,000 daily requests, one day of query-history retention, and community support. This suits evaluation or small projects; the workbook and request ceilings can constrain wider use.
• Starter — $40 a month, per developer / month: 10K daily requests shared or 50K dedicated, one day of query-history retention, and limited chat and email support. It raises request capacity over Free, but shared versus dedicated quotas matter for teams planning predictable traffic.
• Premium — $80 a month, per developer / month: Unlimited queries, seven days of query-history retention, chat and email support, and Explorer and Viewer roles priced separately. It suits teams that need more query headroom and longer history; additional role pricing should be factored into the total.
• Enterprise — custom pricing: Custom query-history retention, a dedicated single-tenant installation, and a dedicated CSM. It is the option for organizations that need a dedicated environment or tailored retention rather than the standard tiers.

Platforms

Cube supports API, Linux, self-hosted, and web environments. Cube Cloud can run as a managed service, in a customer VPC, or through BYOC; this flexibility suits teams choosing between managed operations and deployment in their own cloud environment.

Who it's for

Cube is a strong candidate for data teams that want a governed semantic model behind internal BI, embedded analytics, or AI-agent answers, especially when they need API access and deployment flexibility. It is less compelling for teams whose workload exceeds the lower tiers' daily request limits or who need more than one day of query history without moving to Premium.

Pros and cons

• Pros: One governed semantic layer can serve dashboards, embedded analytics, and AI agents, reducing the risk of inconsistent business definitions across surfaces.
• Pros: The free tier includes IDE, workbooks, dashboard publishing, agents, and analytics chat, giving teams more than a bare trial environment.
• Pros: Deployment options span managed cloud, VPC, and BYOC, with stated compliance coverage for SOC 2 Type II, HIPAA, and GDPR.
• Cons: Free is capped at five workbooks and 1,000 daily requests, while Starter retains only one day of query history.
• Cons: Premium's Explorer and Viewer roles cost separately, so its per-developer price does not capture every potential seat cost.

Alternatives

For a different context-layer option with a free tier capped at three clusters and standard ad hoc-query execution, consider Starburst Enterprise Context Layer. Teams looking for a dbt-oriented option with a free Developer plan limited to one seat, 3,000 successful models monthly, and one project can compare dbt Semantic Layer; its Developer plan does not include the Semantic Layer.

Definite is another freemium alternative, with a free tier limited to two users, two connectors, 1 GB of storage, five monthly credits, and daily sync. For a free, Apache 2.0-licensed option that requires a working dbt project and adapter, consider MetricFlow. Sema is another freemium alternative.

Strata offers a free tier for one developer and 25 users, with two data sources per project and unlimited projects and branches. For a Creator or Explorer licensing model, compare Tableau. Kyligence is a paid alternative with a free trial.

Browse Semantic Layer Software for more options in the category, or Data Transformation Tools if transformation tooling is the priority.

Verdict

Choose Cube if you need governed metrics that can power internal or embedded analytics and AI agents through a shared model, with API and deployment choices to suit your infrastructure. Its free workspace is a useful starting point, but request quotas and short retention are the main reasons to compare tiers—or look elsewhere if your workload needs generous history without a higher per-developer plan.